CVE 7902 - Civil Engineering Graduate Capstone II

3 lecture hours 0 lab hours 3 credits

The student will execute data collection, design strategies and/or technical analyses as laid out in CVE 7901 to complete the project. The student will compile and document the results in a formal capstone report, typically using the IMRAD (Introduction-Methods-Results-Analysis-Discussion) format.

Satisfactory progress and completion of CVE 7902 is to be determined by an academic committee typically composed of the faculty advisor and two faculty members. (prereq: graduate program director consent, CVE 7901  and CAE 7810 )

• Complete an independent, advanced civil engineering project
• Produce the results of the project in a written capstone report that clearly conveys all technical information involved in the execution of the project and properly cites all scholarly references
• Communicate the results of the project clearly to a technical audience as part of the project oral defense

• Knowledge in the student’s specialty area

• Determined by student and faculty advisor. Students are expected to meet, at a minimum, once weekly with the faculty advisor to consult on the progress of the project.

CPE 5980 - Topics in Computer Engineering

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CSC 5120 - Software Development for Machine Learning

• Design and implement software that uses logic and looping to solve problems
• Implement logic for reading, parsing, and writing common text file formats
• Use data structures such as strings, lists, sets, dictionaries, and tuples to solve data processing and algorithmic problems
• Write software organized into multiple classes and modules
• Use a version control tool (i.e., Git) to share and collaborate on software development projects
• Document the implementation of software systems
• Write automated tests for pre-conditions and post-conditions using a testing framework
• Use recursion to solve a given problem
• Design and implement linked lists and trees to store and access data and state information
• Implement and apply tree algorithms to solving search and planning problems
• Use exact tracing to quantify and predict the runtime of a given algorithm
• Apply the concepts of asymptotic complexity to accurately characterize the Big-O of a given algorithm

• Programming experience with a high-level language

• Introduction to procedural and object-oriented Python 
• Python data types: strings, lists, sets, dictionaries, and tuples  
• Loading and manipulating data stored in tabular or semi-structured text files 
• Implementing and using classes in Python
• Interactions with Git repositories 
• Writing tests with assertion statements and the Python unittest library
• Linked lists and trees 
• Recursion 
• Search and planning problems in AI such as playing games
• Applications of tree data structures and algorithms to solve search and planning problems

CSC 5201 - Microservices and Cloud Computing

• Leverage containerization to package and run software 
• Design and implement a basic microservice that interacts through REST APIs, implements access control, uses distributed storage systems, and is deployed in a containerized form 
• Apply access control patterns using authentication and authorization following security best practices 
• Analyze and identify potential throughput, scalability, reliability, and consistency issues with distributed microservice architectures 
• Create and manage continuous integration and deployment to automate software related to microservices and pipelines 
• Deploy a multi-service distributed application using a container orchestration tool 

• Version control/Git
• Proficiency in a high-level object-oriented programming language including use of data structures, designing classes, and applications of software design techniques
• Introductory knowledge of database languages (e.g., SQL) for querying, manipulating, and basic management of databases
• Design and implementation of simple relational database applications
• Introductory knowledge of client-server and event-driven programming paradigms, including an example of networked communication
• Use of web application programming interfaces
• Design and implementation of simple web services using server-side technologies
• Familiarity with the Linux command-line or similar

• Virtual machines and containers and associated best practices for writing containerized, stateless applications 
• Microservice architectures and implementation patterns including event-driven architectures and designing and implementing REST APIs 
• Distributed storage systems (e.g., key-value stores, columnar stores, object stores, distributed file systems, and relational databases), tradeoffs between consistency, availability, and partition tolerance, and efficient access patterns 
• Continuous integration and deployment technologies and usage patterns 
• Tooling for orchestration and deployment of multi-service systems 
• Software, Function, Platform, and Infrastructure as service paradigms and implementing systems 
• Discussion of public cloud services and comparisons of their offerings 

CSC 5241 - GPU Programming

• Learn to program massively parallel processors using the CUDA programming API, tools, and techniques
• Design and develop algorithms that take advantage of highly parallel co-processors to solve technical and scientific problems
• Learn principles and patterns of parallel algorithms
• Learn NVIDIA GPU architecture features and constraints
• Understand data-parallel hardware in order to develop efficient algorithms
• Design numerical methods optimized for data parallel architectures
• Leverage data-parallel hardware to process large data sets common in modern big data applications
• Implement and analyze parallel algorithm patterns in the CUDA programming model
• Identify performance bottlenecks in parallel code.
• Improve performance by applying common parallel techniques
• Compare the performance of a from-scratch parallel implementation to an existing CUDA library when applied for accelerating a unique applicatio
• Review and analyze latest research papers on using GPU programming for accelerating scientific computing applications

• A working knowledge of the C/C++ programming language
• Familiarity with basic linear algebra

• Heterogeneous parallel computing
• GPU architecture
• Data parallelism
• CUDA programming structure
• Mapping threads to multidimensional data
• Memory access efficiency
• CUDA memory types
• Warps and SIMD hardware
• Floating-point data representation
• Numerical stability
• Parallel patterns

• Query of hardware resources and coding environment/tools
• Linear algebra operations such as vector addition, matrix multiplication
• Performance optimization leveraging shared and constant memory
• Image processing algorithms, such as image blur, color to grayscale conversion, convolution, stencil
• Using CUDA libraries
• Common parallel programming patterns
• Application case studies

CSC 5601 - Theory of Machine Learning

• Explain and analyze machine learning models and prediction algorithms (e.g., k-nearest neighbors, logistic regression, SVMs, decision trees) in a precise manner  
• Confidence in applying, manipulating, and interpreting linear algebra and calculus concepts within the context of machine learning  
• Implement and validate code for a mathematical model or algorithm given as an equation  
• Explain the geometric and algebraic interpretations of linear and non-linear decision boundaries and their relationship to error metrics (e.g., accuracy) 
• Understand the concepts of learning theory, i.e., what is learnable, bias, variance, overfitting, curse of dimensionality, splitting data for evaluation of model predictions  
• Estimate and plot decision boundaries described by trained models 
• Be able to encode non-numerical variables in tabular data as numerical features   
• Describe implications of feature representations with respect to linear separability   
• Apply approaches for engineering and evaluating new features from existing data   
• Derive, visualize, apply, and interpret loss functions and associated derivatives to assess the quality of model predictions and fit to data  
• Describe and implement model training in terms of naïve and gradient-driven search problems over parameter space  
• Compare and contrast technical requirements and computational efficiency of two unconstrained optimization algorithms (e.g., gradient descent, Newton’s method)  

• Linear algebra
• Python
• NumPy
• Functional programming

CSC 5610 - AI Tools and Paradigms

• Use a Jupyter notebook environment to write, structure, run, document (with Markdown), and debug Python programs  
• Use Series and Data Frames to load, manipulate, and analyze tabular data sets
• Assess the quality, quantity, and reliability of a data set for a given data science question or task
• Leverage appropriate libraries to solve non-trivial data cleaning, preparation, integration, and transformation challenges 
• Employ a plotting library to visualize data  
• Use exploratory data analysis (e.g., visualizations and statistical tests) to characterize data sets and between pairs of relationships of variables 
• Analyze and describe machine learning algorithms including (but not limited to) logistic regression, SVMs, and Random Forests 
• Explain the geometric and algebraic interpretations of linear and non-linear decision boundaries and their relationship to error metrics (e.g., accuracy)
• Describe implications of feature representations with respect to linear separability 
• Apply approaches for engineering and evaluating new features from existing data 
• Encode non-numerical variables in tabular data as numerical features 
• Use a library to train (apply) machine learning models for (to) classification and regression problems
• Choose and justify appropriate experimental designs (e.g., test-train split, cross-fold validation) for evaluating predictions
• Apply and interpret appropriate metrics for evaluating predictions
• Communicate computational results and interpretations in language appropriate for a technical audience 
• Identify ethical implications of potential biases in data sets, algorithms, and applications of AI

• Recent programming experience with a modern, object-oriented language
• Vectors and matrices

CSC 5611 - Deep Learning

• Understand the process of backpropagation and its role in training deep networks 
• Implement a basic deep learning network library 
• Apply deep learning to a unique dataset and analyze performance 
• Compare options for training deep neural networks, for example, optimization methods, generalization methods, normalization, initialization methods  
• Apply transfer learning to leverage pre-trained models 
• Compare various modern network architectures, for example, convolutional neural networks (CNNs), encoder-decoders, generative adversarial networks (GANs), or transformers. Emphasis on topics can vary depending on the instructor’s specialties 
• Evaluate training methods and alternative architectures based on model accuracy, constraints, and training performance 
• Discuss the ethical implications of deep neural network applications 
• Compare the performance of the from-scratch deep neural network library implementation to an existing library when applied to a unique dataset 

• Machine learning
• Python fundamentals

CSC 5651 - Deep Learning in Signal Processing

4 lecture hours 0 lab hours 4 credits

Graduate students enrolled in the course will prepare critical summaries of published research papers in addition to meeting the requirements of the undergraduate course. Milestones of these summaries will include regular reviews and feedback from the faculty member and presentations to the class. (prereq: (MTH 5810  or MTH 2340 or MTH 2130), (CSC 5610  or ELE 3320 or CSC 3310 or CSC 3310 or CSC 2621)) (quarter system prereq: (MA 383 or BE 2200), (CS 2040 or CS 3210 or EE 3221))

• Describe state of the art deep learning structures for addressing signal processing problems
• Articulate the calculations done during backpropagation and explain various challenges that may occur (exploding gradients, uncontrollable parameters, etc.)
• Evaluate proposed solutions and interpret published results using standard metrics such as accuracy, precision, recall, top-N accuracy, etc.
• Break down modern deep learning architectures into their components and characterize the function of those components
• Modify existing network structures and evaluate the impact on model performance for new applications
• Appraise a data set in terms of quantity, quality, and balance, and suggest appropriate mitigations of data set issues
• Apply the spectrogram as a foundation for signal detection, classification, and enhancement
• Differentiate between commonly used objective and subjective metrics and critique their use in backpropagation and model evaluation
• Relate a signal processing view of convolution to a deep learning view through the concepts of time-invariance, linearity, and feature extraction
• Evaluate recent research results in the field
• Distill, summarize in writing, and present recent research results to peers with basic ML and DSP knowledge

• Linear algebra and/or multivariable calculus
• Basic software design, ideally in the context of data science, numeric applications, or AI

• Training pipelines
• Loss functions including perceptual losses
• Confusion matrices and performance metrics
• Convolutional layers of various dimensions used on both time series and time-frequency representations of data
• Mitigation of overfitting including dropout and batchnorm
• Principal components analysis and autoencoders
• Various types of RNNs
• Common network architectures
• Frequency response
• Discrete Fourier transforms
• Spectrograms, windowing, and perfect reconstruction

• Basic DNN training
• Signal representation / transfer learning
• Model pruning
• Hyperparameter optimization
• Project
• Presentations

CSC 5980 - Topics in Computer Science

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CSC 5981 - Topics in Computer Science with Laboratory

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CSC 6605 - Machine Learning Production Systems

• Design, implement, deploy, and operate a machine learning-powered RESTful service and supporting backend systems 
• Design and implement data processing systems that use batch and stream processing patterns and technologies for ingesting and processing event data 
• Apply design patterns and data storage systems to design and implement data storage services to support batch and streaming data processing, model training, and model evaluation 
• Create distributed systems to support model training and evaluation 
• Automate and monitor model training, evaluation, deployment, and operation 
• Evaluate and compare architectures of ML-powered systems 

• Cloud computing
• Micro services
• Machine learning 

• Distributed batch and streaming data processing platforms and associated programming paradigms 
• Data representation and storage patterns to support batch and streaming data pipelines and services 
• Reliability, consistency, and scalability challenges and solutions for big data systems 
• Patterns for handling model training and evaluation on data that changes or updates over time 
• Tradeoffs between batch and streaming systems in terms of efficiency, computational capabilities, and time until updates are available based on new data 
• Model serving and deployment 
• Monitoring and alerting for services and performance of machine learning model predictions  
• Implementation of systems for common machine learning tasks such as classification/regression and recommendations 

CSC 6621 - Applied Machine Learning

• Understand the fundamental concepts and application of supervised, unsupervised, semi-supervised, and reinforcement learning 
• Understand the concepts of learning theory, (e.g., what is learnable, bias, variance, overfitting, curse of dimensionality, splitting data for evaluation of model predictions) 
• Derive, visualize, apply, and interpret metrics and loss functions to assess the quality of model predictions and fit to data 
• Describe the fundamentals of deep learning and what is required to be able to use it 
• Compare various modern deep neural network architectures (e.g., convolutional neural networks (CNNs), encoder-decoders, generative adversarial networks (GANs), or transformers).
• Implement, train, and evaluate deep learning models using popular libraries
• Describe applications of deep learning to solving real-world problems 
• Describe the components of the intelligent agent framework 
• Apply agent and state-based frameworks to solve various problems such as game playing 
• Provide examples of search problems and techniques for solving them 
• Describe and apply algorithms such as value iteration and q-learning to identify optimal policies 
• Describe the role of heuristics and describe the trade-offs among completeness, optimality, time complexity, and space complexity 
• Read, interpret, and explain primary literature from the field of AI
• Present the results of ML and AI projects to technical and non-technical audiences

• Software development
• Object-oriented Python
• Jupyter Notebooks
• Data ingestion, manipulation, and cleaning using DataFrames
• Data exploration and interpretation using visualization and statistical techniques
• Training and applying basic machine learning models
• Ability to apply and interpret appropriate metrics for classification and regression problems

CSC 6980 - Topics in Computer Science

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CSC 6999 - Computer Science Independent Study

• Vary

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CSC 7901 - Machine Learning Capstone

• Integrate and apply knowledge and skills acquired in previous coursework 
• Analyze a complex data science problem and apply principles of machine learning to design, implement, and deploy a solution 
• Effectively communicate the design, implementation, and impacts of the solution 
• Identify and address ethical and governance aspects of the problem and solution 

• Machine learning
• AI tools

CON 5011 - Lean Construction and Resource Management

• Identify the key elements of construction management as it relates to lean production and lean construction practices
• Critically evaluate alternative approaches to resource and knowledge management in construction management
• Critically evaluate alternative approaches to project delivery in construction management
• Utilize lean thinking and lean tools for solving problems

• None

• Principles of lean construction
• Lean construction’s connection to IPD and BIM
• Lean culture and leadership through lean principles
• Process improvement through flow and variation control
• Pull Planning and Last Planner scheduling
• A3 problem solving
• Quality management
• Choosing by Advantages
• Organizing and planning with 5-S
• Productivity improvement by understanding lean wastes

CON 5051 - Construction Project Leadership

• Describe and observe various leadership trait theories
• Discuss theories of human motivation
• Implement situational leadership
• Utilize knowledge of communication strategies and time management
• Explain the importance of culture, empathy, diversity, and corporate responsibility on the success of an organization
• Experience leadership challenges with vision casting and motivating others

• None

• Definition of leadership and how it differs from management
• Starting with WHY and understanding the power of vision casting
• Leadership trait theories
• Covey’s 7 Habits of Highly Successful People
• Writing a personal mission statement
• Discovering your personal communication style and how to interact with others
• Motivational theories of Maslow and Herzberg
• Understanding of servant leadership
• Communication styles and strategies for handling crucial conversations
• Time management techniques
• Presentation skills

CON 5980 - Topics in Construction Management

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• Vary, depending on topics covered. Consult instructor.

• Varies

ELE 5142 - Modern Electronic Systems

• Contribute to a broad array of projects utilizing a wide range of components, interfaces and development tools
• Analyze the systems, components and interfaces used in many modern electronic systems
• Work with specifications, applications notes and electronically available material
• Understand and design with many of the major components of a modern electronic system
• Approach a new technology with confidence

• Electronic circuits
• Digital systems
• Electromagnetic fields

• On chip and off chip busses
• Advanced memory technology
• Hard drives
• Optical drives
• Input devices (incl. touch screens)
• Display systems (LCD/LED)
• Wireless charging
• RADAR
• GPS
• Imagers
• Cellular systems
• BT, WiFi, Pico-nets

ELE 5240 - Advanced Electromagnetics and Antenna Theory

• Develop analytic solutions to electromagnetic problems
• Apply scalar and vector potential functions in electromagnetic problems
• Derive the radiated fields of the infinitesimal dipole antenna using the magnetic vector potential and vector calculus
• Model basic dipole and monopole antennas using equivalent circuits
• Explain fundamental trade-offs between the size, efficiency, and bandwidth of an antenna
• Determine the radiation pattern of linear antenna arrays
• Utilize electromagnetic simulation software to evaluate and interpret the behavior of static and dynamic fields, including antenna and link performance
• Use measurements to evaluate the performance of antennas and a basic communication link

• Static and dynamic electromagnetic fields
• Transmission line theory
• Resonant RLC circuits
• Vector Network Analyzer (VNA) measurements

ELE 5320 - Applications of DSP

• Determine the appropriate system design for DSP applications
• Be proficient in programming a DSP using the C language

• Sampling theorem
• FIR/IIR transfer function design and analysis
• Discrete/fast Fourier transform
• Computer programming in C

• DSP system architecture and C programming language
• FIR/IIR, adaptive, multirate digital filter implementation
• Discrete and fast Fourier transform implementation
• Auto- and cross-correlation methods
• Image processing techniques
• Other instructor-dependent topics:
  • Radar processing
  • Array processing
  • Modulation and demodulation
  • Phase-locked loop
  • Digital instrument tuners
  • Time stretching and pitch shifting
  • Musical instrument synthesis
  • Phase vocoders

• DSP system architecture and C programming language
• FIR/IIR, adaptive, multirate digital filter implementation
• Discrete and fast Fourier transform implementation
• Auto- and cross-correlation methods
• Image processing techniques
• Other instructor-dependent topics:
  • Radar processing
  • Array processing
  • Modulation and demodulation
  • Phase-locked loop
  • Digital instrument tuners
  • Time stretching and pitch shifting
  • Musical instrument synthesis
  • Phase vocoders

ELE 5403 - Specialty Electric Machines

• Construct Permanent Magnet DC (PMDC) and Brushless DC (BLDC) machine dynamic electrical system models - armature resistance and inductance, and back emf
• Construct PMDC and BLDC machine dynamic mechanical systems using equivalent electrical model components - electromechanical torque production, friction and windage losses, and rotor inertia
• Construct dynamic mechanical load electrical model equivalent components representing mechanical systems - work load, mechanical inertia, and energy storage (spring) load
• Simulate dynamic torque production in PMDC and BLDC machines
• Simulate the impact of load inertia on system response time
• Simulate the impact of controller gains on system response time
• Simulate pulse width modulation (PWM) as used to alter signal magnitude and frequency
• Calculate the average and rms values of pulse width modulated signals
• Simulate the operation of power electronic switches
• Model and simulate dynamic speed control of PMDC and BLDC machines

• Ohm’s law
• Kirchoff’s current law
• Kirchoff’s voltage law
• Faraday’s law
• Passive sign convention
• Complex numbers
• Frequency domain concepts: phasors, impedance, transfer functions
• DC and AC circuit analysis
• Transformers
• 3-phase balanced power systems
• 3-phase synchronous machines
• 3-phase induction machines

• Permanent Magnet DC (PMDC) machines and Brushless DC (BLDC) machines
  • Construction
  • Commutation
  • Torque production
  • Dynamic electrical system models
  • Dynamic mechanical system models
• Dynamic mechanical load models
• Pulse Width Modulation (PWM)
• Power electronics
• Motor and control system simulations
• Control implementation
• Simulation software

• Permanent Magnet DC (PMDC) machines and Brushless DC (BLDC) machines
  • Construction
  • Commutation
  • Torque production
  • Dynamic electrical system models
  • Dynamic mechanical system models
• Dynamic mechanical load models
• Pulse Width Modulation (PWM)
• Power electronics
• Motor and control system simulations
• Control implementation
• Simulation software

ELE 5440 - Power Electronics

• Demonstrate an understanding of the electrical characteristics of power semiconductor devices
• Analyze power semiconductor circuits operating at high power levels under transient and steady state conditions
• Develop the skills necessary to use simulation software to analyze and verify power conversion circuits
• Design a DC/DC power converter
• Design an AC/DC rectifier
• Design a DC/AC power inverter

• Steady state and transient circuit analysis
• Electrical characteristics of diodes, bipolar junction transistors, and metal oxide field effect transistor
• Analysis of circuits with diodes and transistors
• Average and RMS values of periodic waveforms

• High-side versus low-side power switching
• Power MOSFETs
• Gate driver circuits
• Diodes
• Rectifier topologies
• DC-DC switched mode converters
• Square wave inverters
• PWM inverters
• Resonant converters
• Static thermal analysis of power electronic devices
• Outupt regulation using voltage and current feedback

ELE 5447 - Power System Models and Analysis

This course provides techniques for developing generator, transformer, and transmission line models for steady state analysis. Topics covered include the concepts of complex power, balanced three-phase circuits, transmission line parameters, transmission line performance and compensation, system modeling and per-unit analysis, circuit theory as applied to power systems and load flow analysis, symmetrical components, balanced three-phase faults, unbalanced faults, technical treatment of the general problems of power system stability and its relevance. (prereq: graduate standing)

• Describe the elements that make up a power system
• Calculate real and reactive power, direction of power flow, conservation of complex power and power factor correction
• Create the per-phase representation of the three-phase systems and perform computations
• Calculate the inductance and capacitance of a transposed transmission line
• Use line models to obtain the transmission line performance
• Determine the series and shunt capacitors and shunt reactors required for line compensation
• Create the basic models of transformers and synchronous generators for the steady-state analysis
• Use computer techniques and algorithms to obtain transmission line parameters, calculate line performance, calculate line compensation and find solutions load flow problems
• Understand simplified models of synchronous machines for fault analysis and transient stability problems
• Calculate the internal voltages of loaded machines under transient conditions
• Calculate and evaluate currents in a network for balanced three-phase faults
• Transform unbalanced phasors to their symmetrical components
• Use symmetrical components for short-circuit analysis of unsymmetrical faults
• Understand the general problem of power system stability

• Linear circuit analysis
• Three-phase circuits
• Basic knowledge of electrical machines and transformers
• Computer programming

• Power in AC circuits, complex power
• Review of three-phase systems
• Simple models of transformers and generators for steady-state analysis
• Per-unit systems and impedance diagrams
• Transmission line parameters
• Transmission line models, performance and compensation
• Network solution and the bus admittance matrix
• Iterative solution of nonlinear algebraic equations
• Load flow solution by the Newton-Raphson method
• Tap changing transformers, real and reactive power control
• Generator modeling
• Direct formation of the bus impedance matrix
• Symmetrical three-phase faults 
• Symmetrical components 
• Unbalanced fault analysis 
• Power system stability

ELE 5451 - Grid Stability

Recent Bulk Electric System disturbances are reviewed, and relevant stability issues that arose are studied via dynamic power system simulations. A disturbance could be as minor as a frequency deviation resulting from the sudden loss of generation or system separation, or as severe as a wide area blackout. Topics include frequency and angular stability, voltage stability, protection system impacts on stability, and frequency and voltage regulation techniques. There is no required textbook. Course material is taken from bulk electric system events - blackouts, separations, frequency excursions, etc. - and the EPRI Power System Dynamics Tutorial. The reading is supplemented with technical assignments that reinforce concepts introduced in the event reports. (prereq: graduate standing)

• Apply N-1 operating criteria to simulated power systems
• Outcomes related to system protection
• Simulate the impact of delayed fault clearing on system stability
• Simulate the impact of UnderFrequency Load Shedding (UFLS) systems on system stability
• Calculate generator governor frequency response
• Simulate generator governor response
• Simulate the impact of generator or load loss on system frequency
• Calculate Area Control Error (ACE) for a balancing authority area
• Understand the importance of spinning and supplemental reserves
• Simulate inductor impacts on voltage regulation
• Simulate capacitor impacts on voltage regulation
• Simulate generator impacts on voltage regulation
• Simulate load impacts on voltage regulation
• Create PV and QV curves
• Calculate the theoretical maximum power transfer between two buses
• Simulate loss of synchronism due to exceeding the maximum power transfer between two buses

• Ohm’s law
• Kirchoff’s current law
• Kirchoff’s voltage law
• Passive sign convention
• Complex numbers
• Frequency domain concepts: phasors and impedance
• AC circuit analysis
• Complex power
• Three-phase balanced systems
• Transformers
• Synchronous machines

• 5 to 8 analyses from published event reports
• Frequency control
• Voltage control
• N-1 operating criteria
• Supervisory Control and Data Acquisition (SCADA)
• State Estimators (SE) and Real Time Contingency Analysis (RTCA)
• Maximum power transfer - angular stability
• Transmission system protection schemes
• Situational awareness
• Capacitor compensation - shunt and series
• Inductor compensation
• Static VAR compensation
• Synchrophasors and FNET
• Standing phase angles
• Cyber attacks

ELE 5480 - Electrical Power Systems Quality

• Measure and calculate electrical power systems quality
• Measure and interpret voltage, current and frequency variations and distortions
• Interpret and explain the principles of power system harmonics, harmonic indices and mitigation strategies
• Adeptly use laboratory instrumentation to measure and analyze power quality indices
• Interpret industrial standards on power quality requirements

• Linear AC circuit analysis
• 3-phase complex power
• Basic knowledge of electrical machines and transformers

ELE 5610 - Advanced Programming for EEs

• Create and use classes and objects
• Apply encapsulation and information hiding in software design
• Create and apply derived classes (inheritance)
• Create and apply virtual functions (polymorphism)
• Create and apply operator overloading
• Choose an appropriate data structure for a problem
• Apply an appropriate searching or sorting algorithm to solve a problem
• Combine objects, classes, data structures, and algorithms into software for engineering applications
• Design computer software to solve engineering problems using object-oriented programming methods, data structures, and algorithms

• Procedural programming techniques

• OO design
• Classes
• Static data
• Properties and attributes
• Methods and functions
• Constructors and destructors
• Operator overloading
• Base classes and sub classes
• Polymorphism
• Data structures
• Algorithms

• Design and implementation of a basic class
• Design and implementation of classes with operator overloading
• Design and implementation of classes with inheritance and polymorphism
• Design and implementation of a programing project using data structures and algorithms

ELE 5630 - Advanced Embedded Systems

• Use a debugger to diagnose problems in source code
• Set up tasks in a Real Time Operating System (RTOS) with appropriate priorities
• Use semaphores and events in an RTOS to coordinate resource use between tasks
• Utilize memory management mechanisms to dynamically control the use of memory resources
• Interface to external devices over a serial communication channel
• Implement a Finite State Machine (FSM) solution to an engineering problem
• Specify an appropriate optimization level for the code in a project
• Calculate the interrupt latency of a microcontroller
• Utilize low power modes and sleep features in a microcontroller to minimize the system power consumption
• Utilize code management software

• Procedural programming techniques in C
• Practical understanding of basic microcontroller architecture and peripherals
• Developing and debugging programs for an embedded system
• DC circuit analysis

• Advanced microcontroller architecture review
• Peripheral overview for target system - GPIO, A/D, timers, serial communication
• Stacks - purpose, structure, design considerations
• Interrupt latency and system response
• Real Time Operating System - general features, tasks, events, semaphores, memory management, peripheral drivers
• Finite State Machine (FSM) implementation using Lookup Tables (LUT)
• Controlling code size/speed using compiler optimization levels
• Low power modes - behavior and usae
• Power management and sleep modes

• Target microcontroller peripherals
• Finite State Machine implementation
• Code optimization for speed or size
• Low power modes of operation
• Real Time Operating Systems

ELE 5980 - Topics in Electrical Engineering

• Vary

• Vary

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ELE 5981 - Topics in Electrical Engineering Topics with Laboratory

• Vary

• Vary

• Vary

• Vary

ELE 6999 - Electrical Engineering Independent Study

• An ability to apply advanced electrical engineering principles to complex problems

• Vary

• Determined by faculty advisor

CSE 5991 - Co-op Experience Continuation

• Apply technical skills to real world problems in an industrial/professional setting
• Develop new technical skills
• Participate in cross-discipline relationships
• Exhibit professional etiquette and behavior
• Develop strong oral and written communication skills
• Gain teamwork, leadership, and cross-cultural competencies
• Improve time management and prioritization skills

• Approved co-op job offer

• Periodic reflections on co-op experience, including team interactions and problems solved
• Inventory of skills developed and applied
• Articulation of value added to project

CSE 5992 - Co-op Experience Completion

• Apply technical skills to real world problems in an industrial/professional setting
• Develop new technical skills
• Participate in cross-discipline relationships
• Exhibit professional etiquette and behavior
• Develop strong oral and written communication skills
• Gain teamwork, leadership, and cross-cultural competencies
• Improve time management and prioritization skills

• Approved co-op job offer

• Periodic reflections on co-op experience, including team interactions and problems solved
• Inventory of skills developed and applied
• Articulation of value added to project
• Summative reflection on co-op experience

EGR 5980 - Topics in Engineering

• Vary

• Vary

• Vary

EGR 6010 - System Dynamics Modeling

This course presents the basic theory and practice of system dynamics. It introduces the modeling of dynamic systems and response analysis of these systems, with an introduction to the analysis and design of control systems.  A course project will involve analysis of a multi-degree-of-freedom system employing MATLAB® Simulink® software. (prereq: graduate standing)

• Understand basic system components of mechanical, electrical, thermal and fluid systems and combine components into systems
• Formulate mechanical, electrical, thermal, fluid, and mixed discipline systems into appropriate differential equation models
• Analyze linear systems for dynamic response - both time and frequency response
• Recognize the similarity of the response characteristics of various physically dissimilar systems
• Solve systems using classical methods and MATLAB/Simulink

• Differential equations 
• Laplace transform

• Introduction to dynamic systems and control
• Review of Laplace transform
• Analytical solution of linear dynamic systems
• Numerical solution of ordinary differential equations, Runge-Kutta methods emphasized
• Mechanical systems (single & multiple dof) modeling and response using MATLAB/Simulink
• Electrical and electromechanical systems modeling and response
• Fluid and thermal systems modeling and response
• State space and transfer function approaches
• Frequency response analysis
• Introduction to control systems
• Case studies in dynamic systems and control

• Demonstrations of mechanical and electrical systems and their response to various types of excitation

EGR 6020 - Simulation Modeling and Analysis

• Identify the need and the role of simulation in analyzing real engineering systems
• Learn queueing principles and apply to arrivals and processes
• Analyze input using probability distributions
• Perform basic simulations of manufacturing and service systems
• Analyze output using statistical means for comparing systems
• Model systems with detailed operations using a software
• Formulate system improvement and optimization based on verification and validation  

• Computer programming
• Probability and statistics

• Introduction to simulation of engineering systems and models
• Probability concepts and distributions
• Queuing theory
• Random number generation
• Simulation by hand and spreadsheets
• Modeling basic operations, serial and parallel processing
• Input analysis
• Modeling detailed operations
• Statistical analysis of output
• Case studies of various simulation models
• Analysis of manufacturing and service systems
• Entity transfer 
• System model, verification and validation
• Optional topic: decision theory

EGR 6110 - PDEs and Numerical Methods

• Employ the Taylor series for approximation and error analysis
• Formulate and apply numerical techniques for root finding, differentiation, and integration
• Write computer programs to solve engineering problems
• Recognize parabolic, elliptic, and hyperbolic types of partial differential equations
• Solve PDEs analytically via separation of variables and employing Fourier series where applicable
• Write programs and solve PDEs numerically under various initial and boundary conditions 
• Conduct an investigation (course project) and present results orally  

• Computer programming

• Taylor series, error propagation, numerical differentiation, forward-backward-central difference formulations of First and Second derivatives, Richardson’s extrapolation
• Numerical integration: Newton-Gregory forward formula for interpolation, trapezoidal rule, Simpson’s rules, Boole’s rule, Romberg integration
• Root finding methods: bisection, false position, fixed-point iteration, Newton-Raphson, Secant, modified Secant
• Partial differential equations: types- parabolic (heat conduction), elliptic (Laplace, Poisson) and hyperbolic (wave equation)
• Review of Fourier series; half-range expansions: Fourier sine and cosine series to solve PDEs analytically 
• Heat equation (one-d): explicit scheme, stability issues, implicit scheme, Crank-Nicholson’s scheme, non-homogeneous problem, non-linear equation; two-d heat equation treatment
• Elliptic PDE: Laplace equation, Jacobi iteration, Gauss-Seidel iteration, successive over-relaxation scheme, Poisson equation
• Wave equation (one-d): explicit method, Courant stability criterion, implicit method
• Course project based on student interest; use of flexpde or COMSOL is recommended for ease of solution

EGR 6980 - Topics in Engineering

• Vary

• Vary

• Vary

EGR 6999 - MSE Independent Study

• Vary

• Vary

• Vary

EGR 7901 - Engineering Specialty Paper

• Carry out an in-depth independent investigation on a technical topic with minimal supervision
• Write a formal report which clearly presents a new body of knowledge learned

• Student must be close to graduation

• Paper topic selection with a brief description
• Literature search (with Library Director’s help); continue to formulate the content design or analysis or literature review
• Literature review and further search; continue writing elements of paper per the style guide provided; discussions with program director
• Sort out paper, bibliography, references; continue design/analysis or calculations intended
• Draft paper due to program director/faculty
• Revision of the paper based on feedback; adherence to final paper formatting guidelines (based on feedback)
• Oral presentation

EGR 7921 - Engineering Project I

• Integrate and analyze information in the form of a scholarly work as an independent engineering project
• Develop a proposal, write a formal document, and defend the project orally before a committee
• Perform an initial investigation on the approved project

• None

• Problem definition
• Engineering specifications
• Design process
• Patent and intellectual property
• Library research
• Reliability and safety
• Project management
• Formal proposal development: present in writing and orally
• Initiate the preliminary project work after approval of the proposal by the committee 

EGR 7922 - Engineering Project II

• Integrate and analyze information in a chosen specialty in the form of scholarly work as an independent engineering project
• Present and communicate technical concepts effectively, both orally and in writing

• Successful completion of EGR 7921 

• Varies

GRA 6801 - Graduate Assistantship

• None

• Vary

• None

GRA 6998 - Graduate Continuation

• None

• None 

• None

IND 5980 - Topics in Industrial Engineering

• Vary

• Vary

• Vary

IND 6120 - Operations Research

• Formulate and solve linear programming models
• Identify, formulate, and solve transportation and assignment problems
• Develop and solve network models
• Understand decision theory and perform decision trees in solving business decision problems
• Identify and develop operational research models from the verbal description of the system; use appropriate software to solve these models and present both orally and in writing

• Linear algebra

• Linear programming: examples, solving on a spreadsheet
• Linear programming (simplex method): algebraic form, tabular form, other model forms
• Simplex method: matrix form, fundamental insight, revised simplex method
• Duality, primal-dual relationships, sensitivity analysis
• Other algorithms for linear programming 
• Transportation and assignment problems
• Integer programming
• Network optimization: shortest-path, minimum spanning tree, maximum flow, minimum cost
• Decision analysis
• Case studies (applications of LP in various sectors)
• Journal article review
• Other topics-nonlinear programming

IND 6130 - Quality Engineering

• Understand Lean and Six Sigma
• Recognize the various experimental and analytical approaches discussed in this course
• Differentiate between the various experimental and analytical methodologies discussed in this course and apply the correct approach for a given situation
• Successfully design statistically valid experiments
• Successfully evaluate and analyze the output data resulting from the experimental design and analytical techniques discussed in this course
• Plan and conduct a designed experiment
• Analyze experimental data, draw conclusions, and make recommendations regarding process improvements

• Probability and statistics

• Overview of Lean and Six Sigma
• Experimental process
• Factor brainstorming and rank sorting
• Randomization
• Hypothesis testing (two sample use in experimentation)–includes pretesting
• One way analysis of means–includes pre and post testing
• Applications of factorial designs
• Randomized complete block design (single factor)
• 2k full factorial designs
• General linear model (two-way ANOVA)
• Main effects and interaction plots
• Fractional factorial designs, aliasing, and confounding
• Blocking and use of center points
• Basic response optimization
• Correlation
• Simple linear regression, inferences, and diagnostics
• Multiple linear regression, inferences, and diagnostics (including multicollinearity)

IND 6999 - Industrial Engineering Independent Study

• Vary

• Vary

• Vary

MTH 5810 - Mathematical Methods for Machine Learning

• Describe linear and affine subsets of three-dimensional space both algebraically and geometrically
• Interpret the value of a dot product geometrically
• Interpret functions of two variables via the corresponding surface, level curves, and contour plot
• Perform elementary operations with matrices including manipulating expressions and equations involving matrices
• Determine if a matrix is invertible and find its inverse in this case
• Solve systems of linear equations using matrix methods and technology
• Express the solutions of a consistent matrix equation in parametric vector form
• Determine if a subset of n-dimensional space is a subspace
• Find the matrix of a linear transformation and bases for its kernel and range
• Show that a real number is an eigenvalue of a matrix with real number entries by finding the corresponding eigenvectors
• Determine the eigenvalues of a matrix using technology
• Use the inner product to find the length of a vector and the distance between two vectors
• Determine if a set of vectors is an orthogonal basis for a subspace of R^n
• Find the projection of a vector onto a subspace of R^n
• Find a general linear model by solving the normal equation
• Find and interpret the singular value decomposition of a matrix using technology
• Use numerical methods to locate extrema of a single-variable function
• Perform operations with series representations of the single-variable elementary functions
• Find first and higher-order partial derivatives of a function
• Interpret partial derivatives as rates of change in applications
• Find the total differential of a function of more than one variable, use it to estimate change
• Estimate error propagation using the total differential
• Construct the matrix form of the multivariate chain rule and use it to find a derivative
• Find the gradient of a function and interpret its direction
• Find directional derivatives of a function and interpret the results
• Determine the maximum, minimum, and saddle points on a surface
• Interpret mathematics from machine learning literature

• Single-variable calculus

• Geometry in three dimensions: lines, planes, distance, surfaces, vectors, and the dot product
• Matrix algebra
• Matrix equations and invertibility
• Real vector spaces
• Linear transformations and their matrices
• Inner products, orthogonality, projection, and applications
• Eigenvectors and eigenvalues and interpretation of matrix factorizations
• Review of single-variable differentiation
• Taylor series of elementary functions
• Finding critical points analytically and numerically
• Partial derivatives
• Gradients, directional derivatives, and the Jacobian
• Extrema of functions of two variables

MTH 5980 - Topics in Mathematics

• Vary

• Vary

• Vary

MEC 5305 - Mechanical System Simulation with Fluid Power Applications

• Implement a variety of mathematical relationships as block diagram models
• Create and analytically validate simulation models of basic component behavior
• Combine basic models into more complex system models
• Conduct design analysis to understand the influence of specific parameters on system performance
• Develop an understanding of system behavior pertaining to fluid power, power trains, and mechanics
• Analyze and apply knowledge gained from system modeling

• Dynamic systems
• Mechanical system modeling (lumped springs, masses, dampers, etc.)
• Differential equations
• Laplace transforms and transfer functions
• Working knowledge of MATLAB programming
• Simulink experience is recommended, but can be attained with course prework

• Modeling fluid power components: pumps, motors, cylinders, volumes and valves
• Modeling power train elements: engines, torque converters, gear reductions
• Modeling spring-mass-damper systems: translational and rotational
• Modeling systems of components

• Creating Simulink models to study sub-system interactions and system performance
• Conducting manual computations to verify the accuracy of created simulation models
• Using MATLAB to automate design studies that exercise the Simulink models and process simulation results

MEC 5601 - MicroElectroMechanical Systems Fundamentals

• Apply scaling laws to identify dominant mechanisms at microscale
• Apply mechanics and thermofluids concepts in miniaturizing engineering systems
• Design/analyze microsensors
• Design/analyze microactuators
• Select materials and processes for microsystems design
• Conduct case studies and review state-of-art commercial devices

• Engineering mechanics
• Systems dynamics

• Scaling laws in miniaturization
• Single and multiple DOF resonators
• Why silicon? (polymers in MEMS and processes in subsequent weeks)
• Beams as springs
• Electrostatic sensing and actuation
• Thermal transduction
• Piezoresistive sensing
• Piezoelectric sensing and actuation
• Plates and sensors
• Microfluidics, stiction
• Continuous system resonators
• Case study samples: BP sensor, microphone, acceleration sensors, gyros, airbag deployment in an automobile, aerospace: cockpit instrumentation, optical MEMS, RF MEMS, noise in MEMS

MEC 5980 - Topics in Mechanical Engineering

• Vary

• Vary

• Vary

MEC 6090 - Experimental Stress Analysis

• Use concepts of stress and strain in analyzing components and structures
• Use strain gage data to perform failure analysis of machine components
• Mount strain gages, take measurements and analyze the obtained data
• Design strain gage-based transducers for measuring specific loads
• Use photoelasticity as a stress analysis tool
• Conduct a literature search on a stress analysis method

• Mechanics of materials

• States of stress at a point
• State of strain at a point
• Principal strains and Mohr’s circle
• Electrical resistance strain gages
• Strain gage circuits
• Transducer design
• Photoelasticity

• Strain measurement on a cylindrical pressure vessel
• Strain gage mounting practice
• Strain gage mounting and soldering
• Strain measurements of lab projects
• Photoelasticity demonstration
• Photoelastic measurement

MEC 6862 - Advanced Topics in Mechanics and Design

• Understand deformation and stress measures
• Idealize a system or component for stress analysis
• Analyze systems subjected to impact loading
• Conduct stress analysis of axisymmetric systems
• Obtain stresses in curved beams
• Analyze design of nonpermanent joints
• Apply energy method to structures
• Analyze springs
• Conduct a literature search and present results orally and in writing

• Mechanics of materials
• Design of machine components

• Rotating thin circular disks
• Thick-walled cylinders
• Composite cylinders, shrink-fit analysis
• Strain measurements in a thin-walled pressure vessel
• Screws and fasteners
• Design of nonpermanent joints
• Stresses in curved beams
• Energy methods
• Springs
• Impact stresses

MEC 6880 - Computational Fluid Mechanics

• Demonstrate a fundamental understanding of the underlying PDEs for fluid flow
• Familiarize with various types of boundary conditions and apply appropriately to a flow domain
• Develop programs for solving mass and momentum equations in 2D flows and analyze numerical results
• Articulate the differences and applicability of various turbulence models
• Perform runs and interpret results of various flows in CFD 
• Determine good balance between time/computer resources and the output accuracy

• Fluid mechanics

• The role of computational fluid dynamics in engineering applications and research
• Review of partial differential equations and finite differencing schemes
• Governing equations of fluid flow: equations of motion, Navier-Stokes equations
• Finite volume method for diffusion, finite volume method for convection-diffusion
• Finite volume method for unsteady flows: explicit and implicit
• Pressure-velocity coupling, staggered grids, SIMPLE, SIMPLER, and the related algorithms
• Introduction to turbulence modeling, generalized transport equations, and model equation
• Illustration by worked examples, the variety and the complexity of possible applications of CFD
• Discussions on a course project that solves a fluid flow problem employing a numerical technique and software, with selections of a discretization scheme, a pressure-velocity coupling scheme, a viscous (turbulence) model and boundary conditions.  Results must be verified to be insensitive to grid size and time step

MEC 6882 - Gas Dynamics

• Apply engineering principles and analyze problems dealing with compressible flow and gas dynamics
• Formulate and solve problems in one-dimensional steady compressible flow: isentropic nozzle flow, constant area flow with friction (Fanno flow), and constant area flow with heat transfer (Rayleigh flow)
• Derive the conditions for the change in pressure, density, and temperature for flow through a normal shock
• Determine the strength of oblique shock waves on wedge-shaped bodies and concave corners
• Determine the change in flow conditions through a Prandtl-Meyer expansion wave
• Compare shock expansion with linearized theory for subsonic and supersonic flow over airfoil
• Design a supersonic nozzle using the method of characteristics

• Thermodynamics: Second Law
• Fluid mechanics 

• Review of the fundamentals (laws of thermodynamics, conservation of mass, momentum and energy, entropy changes for perfect gases, stagnation properties)
• Introduction to compressible flow (sonic velocity, Mach number, stagnation relations in terms of Mach number, total pressure loss and entropy change relation, isentropic flow tables)
• Standing normal shocks
• Fanno flow and applications
• Rayleigh flow and applications
• Oblique shocks
• Prandtl-Meyer flow (including lift and drag calculations on airfoils at various angles of attack)
• Varying-area adiabatic flow (convergent-divergent nozzle, diffuser, choking)
• Supersonic nozzle experiment and Mach number calculations
• Applications of compressible flow in propulsion systems (example: ramjet engine)
• Differential conservation equations
• Moving normal shock waves
• Velocity potential equation
• Linearized flow: subsonic and supersonic
• Conical flow
• Method of characteristics
• Finite difference techniques for steady supersonic flow

MEC 6884 - Numerical Heat Transfer

• Formulate and solve various conduction, convection, and radiation problems
• Apply similarity transformation to convert PDEs to ODEs related to boundary flow problems
• Develop computer programs (in MATLAB) for several heat transfer problems, solve those problems and analyze the results
• Summarize and synthesize journal papers in numerical heat transfer

• Fluid mechanics
• Heat transfer

• Heat transfer through a double-pane/triple-pane glass window
• Steady-state heat transfer through fin (rectangular, triangular)
• 2D heat conduction - explicit, implicit
• Unsteady heat conduction (example: radiation heating and cooling), semi-infinite solid
• Heat transfer through a circular duct
• Laminar flow over an isothermal flat plate (similarity-numerical, integral-approximate, direct numerical)
• Free convection heat transfer on a vertical flat plate (similarity-numerical RK scheme)
• Radiation - flat plate solar collector
• Radiation transfer in an enclosure - multiple surfaces

MEC 6999 - Mechanical Engineering Independent Study

• Apply advanced mechanical engineering principles to complex problems

• Vary

• Determined by faculty advisor

NUR 6000 - Advanced Practice Theory, Roles, and Change

• Distinguish the roles of the advanced practice nurse within the ANA Scope of Practice and role specific standards and competencies and licensures
• Demonstrate awareness of own strengths and limitations as a leader
• Critique and develop processes through which leadership, change, and practice theories can be applied to the care of select population
• Analyze the impact of leadership skills in promoting change
• Analyze and evaluate the impact of leadership skills on effective team management
• Apply introductory project management skills for advanced practice to change initiatives by analyzing and using EBP guidelines and data for quality and safety process and indicators improvement while applying quality and safety metrics and benchmarks
• Apply concepts of self-care to develop a balanced personal and professional life
• Create strategies to promote programming/health care services to support the needs of diverse/vulnerable/underserved populations 
• Distinguishing nurse role as entrepreneur by creating a business plan using following concepts (final project):
  • Incorporating development and vision of patient care
  • Analyzing epidemiological and system-level aggregate data to determine healthcare outcomes and trends for a community of practice
  • Analyze changes in health care delivery models and reimbursement expectations/issues in health care financing
  • Evaluating and developing a revenue and expense cycle require for independent practice
  • Analyze how clinical and financial decisions impact daily operations impact health of the organization

• None

• Nursing theorists and advanced application of nursing theory
• StrengthFinders© self-assessment for leadership styles
• Change theories: chaos, Prochaska, etc.
• Leadership and management theories for advanced practice
• Organizational inclusivity and diversity
• Self-care
• Creating a business plan:
  • Mission, vision, and culture
  • Population needs assessment
  • Revenue/expense
  • Key stakeholders

NUR 6010 - Health Care Policy and Ethics

• Examine the effect of legal and regulatory processes on nursing practice, health care delivery, and outcomes 
• Evaluate the impact of health policy changes on individuals, families, communities, and organizations  
• Interpret evidence and relevant professional standards for policy makers and stakeholders 
• Propose a policy change that would advocate for a specific population
• Apply appropriate ethical principles to health policy initiatives
• Articulate relevant professional, regulatory standards as they apply to advanced nursing practice
• Critique political actions that have resulted in change and their impact on health outcomes
• Analyze and critique state policy and regulations for advanced practice nurses

• None

• Introduction and application of ethics to policy and politics in nursing and health care
• Policy development and communication strategies
• Health care delivery and financing
• Ethics, policy, and politics in the government
• Ethics, policy, and research
• Policy and ethics in the workplace and the workforce
• Professional associations and interest groups
• Policy and ethics: applications to unique health care settings
• Analysis and critique of advance practice nurse roles per state
• Ethical team debates
• Presentation of current ethical issues (CRISPR, artificial intelligence, allocation of resources, etc.)
• The future of health care reform

NUR 6030 - Evaluating Care: Research and Evidence-Based Practice Project Management

• Examine scientific evidence that serves as basis for patient and provider safety in practice
• Describe evidence-based practice, considering components of research evidence, clinical expertise, and patient/family values
• Demonstrate knowledge of health research methods and processes
• Employ health research methods and processes, alone or in partnership, to generate new knowledge for practice
• Translate research to convey the nursing perspective to policy makers and stakeholders in an understandable way
• Role model clinical decision making based on evidence, clinical expertise, and patient/family preferences and values
• Apply the best possible evidence from nursing and other disciplines as foundations for desired patient outcomes, quality nursing practice, and health system organization
• Identify a real-world healthcare problem, with input from relevant stakeholders and subject-matter mentors, that is grounded in population health data, nursing science, and evidence-based practice
• Complete an integrative review of the literature guided by a relevant clinical question and appropriate for potential publication
• Explore techniques to promote and disseminate evidence-based practice decisions in nursing practice

• None

• EBP Step Zero - Cultivating the spirit of inquiry
  • Explore the IRB process in your organization and how Research/EBP is initiated, evaluated, and approved.
• EBP Step 1 - Ask the clinical question
• EBP Step 2 - Search for the best evidence
• EBP Step 3 - Critically appraise the evidence
  • Critical appraisal of quantitative and qualitative research
• EBP Step 4 - Integrate the evidence with clinical expertise and patient preferences and values
• EBP Step 5 - Evaluate the outcomes of the practice decisions or changes based on evidence
• EBP Step 6 - Disseminate evidence and evidence-based practice implementation outcomes
  • Evaluate scientific journals relevant to the question.
  • Complete review of the literature paper that is suitable for publication.

NUR 6100 - Quality and Safety in Health Care Systems

• Assess the impact of variables including human factors, systems, and safety design principles when analyzing errors
• Examine models and frameworks to guide initiatives aimed at improving quality outcomes in a variety of health care settings and with diverse populations
• Examine and interpret current quality and safety health care literature to identify patterns and analyze problems that impact patient care
• Apply relevant processes to analyze errors and the allocation of causes of errors and of responsibility and accountability 
• Incorporate ethical, regulatory, legal, and systems considerations in the implementation and evaluation of quality improvement initiatives
• Evaluate the concept of risk management in health care systems
• Apply effective communication and collaboration skills in leading an interdisciplinary team in a quality improvement initiative

• None

• Quality improvement models
• National data resources
• System resources
• Limitations of resources
• Human factors and errors
• Standardized practice
• Just culture
• Root cause analysis
• Principles of change
• Six sigma
• Lean
• Legal and ethical issues
• Regulatory agencies
• Risk management

NUR 6110 - Nursing Informatics

• Describe the various information and communication technology tools used in the care of patients, communities, and populations
• Identify the impact of information and communication technologies on workflow processes and health care outcomes
• Use information and communication technology to gather data, create information, and generate knowledge
• Clarify how the collection of standardized data advances the practice, understanding, and value of nursing and supports care
• Evaluate the use of communication technology to engage patients and improve consumer health information literacy
• Use information and communication technologies and informatics processes to deliver safe nursing care to diverse populations in a variety of settings
• Identify impact of information and communication technology on quality and safety of care
• Evaluate the use of information and communication technology to address needs, gaps, and inefficiencies in care
• Use information and communication technology to support documentation of care and communication among providers, patients, and all system levels
• Explore the use of electronic health, mobile health, and telehealth to enable quality, ethical, and efficient patient care
• Use information and communication technologies within ethical, legal, professional, and regulatory standards and workplace policies in the delivery of care
• Identify common risk and mitigation strategies to reduce misuse of information and communication technology

• None

• Building blocks of nursing informatics: DIKW framework
• Cognitive science/informatics
• Ethical applications
• NI as a specialty
• Legislative aspects
• Administrative applications
• Population health
• Research applications
• Caring in a high-tech environment: imagining the future
• Education applications

NUR 6130 - Advanced Leadership and Human Capital

• Assess applicable employment law related to decisions on recruitment, selection, discipline, promotion, and separation from the organization
• Examine the impact of compensation and benefits on recruitment, retention, and employee satisfaction
• Collaborate with Human Resources regarding job descriptions, pay and criteria on which to base hiring decisions and develop a comprehensive recruitment and selection plan
• Construct strategies to build a diverse and person-centered workforce
• Differentiate issues related to performance management by articulating clear expectations, monitoring performance, and coaching for improvement
• Demonstrate the knowledge and skills to effectively negotiate conflict and crucial conversations
• Analyze and critique the importance of documentation as it relates to legal risks to the organization

• None

• Recruiting 
• Onboarding 
• Retention 
• Compensation and benefits 
• Unions 
• Legal and regulatory issues 
• Intergenerational and aging workforce 
• Conflict management 
• Performance assessment 
• Terminating staff 
• Employee engagement 
• Professional development and compliance
• Leadership development and succession planning 
• Human Resources 
• Direct reports 
• Crucial conversations 
• Chain of command 
• Giving and receiving feedback 
• Documentation 
• Managing system change  

NUR 6140 - Managing Projects and Teams in Health Care Systems

• Analyze and evaluate a variety of models, frameworks, and tools and their application to project management
• Demonstrate effective collaboration and communication with pertinent stakeholders during project development and implementation
• Create a budget that will support project implementation and evaluation
• Develop strategies that will minimize or mitigate risk during project development and implementation
• Assess the different roles needed for effective project implementation and how to efficiently assign team members to roles
• Critique project management methods and team performance criteria that support project success
• Apply skills and role model effective techniques to resolve conflicts between team members
• Evaluate barriers to change and identify strategies to overcome barriers
• Take personal responsibility for completion of team-related assignments and contribute to the performance for success of other team members as required

• None

• Project management
• Teams
• Budget
• Collaboration
• Stakeholders
• Conflict
• Theories and models

NUR 6150 - Facilitating Change in Complex Health Care Systems

• Examine the dynamics of group and team behavior
• Describe and diagnose the antecedents of employee motivation theories
• Explain and diagnose the sources of work group and team effectiveness
• Discuss and evaluate the characteristics of effective change leadership and influence
• Explain and evaluate how contextual variables influence employee behavior, organizational effectiveness, and successful organizational change
• Describe the role culture plays in organizational performance
• Evaluate the implications for the ethical practice of management and leadership
• Analyze, critique, and investigate system-wide initiatives that improve delivery and outcomes in client care

• None

• Advanced leadership models 
• Organizational culture and invisible architecture
• Organizational values (ethics)
• Contemporary leadership theories
• Change theories
• Team engagement for change
• Human motivation
• Organizational roles
• Organizational decisions
• Magnet recognition
• Shared governance
• Strategic planning and evaluation
• Organizational committees
• Team performance

NUR 6200 - Advanced Pathophysiology

• Apply principles related to normal anatomy and physiology of human body systems to pathophysiologic processes of common disease disorders
• Differentiate among normal and abnormal variants of pathophysiologic and physical findings based on lifespan changes and normal anatomy and physiology
• Synthesize pathophysiologic knowledge with current aspects of care relating to commonly occurring diseases
• Incorporate current and emerging genetic/genomic evidence in advanced nursing care management plans for individuals, families, and communities
• Discuss clinical manifestations of selected disease processes and health-related disorders across the life span
• Identify appropriate pharmacological and non-pharmacological treatment and management of specific health related disorders
• Develop differential medical diagnoses based on analysis of pathophysiological findings
• Identify the role of the advanced practice nurse in the development of an evidence-based treatment plan for specific pathophysiological processes

• None

• Variants in anatomy and physiology
• Pathophysiologic disease processes
• Genetics/genomics
• Differential diagnosis
• Pharmacological management of disease
• Non-pharmacological management of disease

NUR 6210 - Advanced Pharmacology I: For APRN Prescriptive Practice

• Analyze and synthesize the impact of pharmacokinetics and pharmacodynamics safety on the appropriate therapeutic drug choice for individual clients
• Evaluate the role of ethnopharmacology safety and the impact on selecting the appropriate medications and therapies in caring for specific client populations
• Analyze how molecular, cellular, and physiological mechanisms underlying pathophysiology can influence the appropriate choice of drug(s)
• Apply appropriate treatment algorithms for the management and treatment of common diseases and conditions while enhancing the quality of care and minimizing risk of harm to clients
• Describe the effective use of non-pharmacological therapeutic interventions in the treatment of specific diseases, conditions, and symptoms
• Interview a pharmacist and reflect on collaboration across the professions and importance of collaboration for pharmacological quality and safety in care for clients
• Compare organizational, state, and federal laws that regulate prescriptive practices
• Demonstrate the development of appropriate medication orders and prescriptions based on relevant legal, regulatory, and ethical principles

• None

• Role of advanced practice nurse prescriber (APNP)
• Ethical, legal, and professional issues, safety, basic principles and drug reactions, drug selection
• Foundation: pharmacogenomics, nutrition and nutraceuticals, herbal therapies, informational technology and pharmacology, pharmacoeconomics
• Drugs that affect and treat the integument system, dermatological conditions, bacterial infection, viral, fungal, protozoal Infections, drugs to treat eye, ear disorders, drugs affecting the cardiac and renal systems
• Drugs for pain management and inflammatory process
• Drugs affecting autonomic and central nervous system and conditions
• Drugs affecting the GI/GU system
• Drugs affecting the upper and lower respiratory track
• Drugs affecting the endocrine system
• Drugs of the reproductive system
• Special topics: population health focus: substance abuse, anxiety, attention deficit disorder, geriatrics, pediatrics, alternative lifestyle/transgender

NUR 6220 - Advanced Physical Assessment

• Apply evidenced based critical reasoning to the collection and communication of data gathered, both oral and written
• Synthesize comprehensive assessment data which includes problem focused history, physical examination, laboratory, and diagnostic studies into written documentation that informs the interdisciplinary team of the client’s plan
• Critically engage in use of appropriate technologies to effectively collect and disseminate accurate assessment data
• Apply evidenced based diagnostic reasoning of subjective and objective data to create individualized plans of care as a foundation for positive client outcomes
• Integrate socially responsible consciousness into assessment and care of client populations
• Through use of simulation and immersion team experiences, prioritize client-focused plans that are safe and effective

• None

• Health history techniques  
• Documentation 
• Neurological 
• Cardiac 
• Respiratory 
• GI 
• GU/reproductive 
• Other assessments pertinent to psychiatric mental health 
• Screening tools 
• Differential diagnosis 
• Treatment plans and expected outcomes 

NUR 6230 - Pharmacology II: Neurobiology and Psychopharmacology

• Demonstrate the evidence-based, person-centered, and ethical use of major pharmacologic drug classes in the treatment of persons with psychiatric disorders across the lifespan
• Differentiate between the use of medications in the care of persons with acute and chronic psychiatric mental health conditions
• Apply knowledge of neurobiological, genetic, and epigenetic factors and relational ethics in the selection of pharmacological options in the treatment of persons with psychiatric mental health conditions

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Pharmacology I

• Brain structures and specific function in the body
• Core circuits in the brain
• Dopamine pathways
• Psychiatric disorders across the lifespan
• CYP 450 enzyme system
• Psychotropic drug classes
• Major psychopharmacological classes
• Drug interactions 
• Safety in prescribing
• Prescribing for acute vs. chronic psychiatric conditions 
• Prescribing herbs and supplements  
• Genetics and epigenetics
• Memory
• Pharmacogenetic testing
• Endocannabinoid system and emerging science
• Ethics, prescriptive authority, and informed consent
• Shared decision-making

NUR 6500 - Leadership and Management Practicum I

• Synthesize theoretical knowledge into activities in the practice setting
• Designs, delivers, manages, and evaluates comprehensive person-centered care
• Participate in leadership and management activities at the designed agency
• Formulate a personal development plan related to professional competencies
• Approach practice and projects with a spirit of curiosity and inquiry and an awareness of best practices

• None

• AONL competency review
• QI models
• Change
• Site visits
• Organizational culture
• Emotional intelligence
• Data/information to meet outcomes

• Practicum experience

NUR 6510 - Leadership Management Practicum II

• Synthesize theoretical knowledge into activities in the practice setting
• Designs, delivers, manages, and evaluates comprehensive patient care
• Participate in leadership and management activities at the designed agency
• Formulate a personal development plan related to professional competencies
• Approach practice and projects with a spirit of curiosity and inquiry and an awareness of best practices

• None

• AONL competency review
• Diversity
• Communication/relationship management
• Site visits
• Knowledge of the health care environment
• Business skills and principles
• Professionalism
• Advanced design, management, and evaluation of patient care

• On-site practicum hours

NUR 6980 - Topics in Nursing

• Vary

• Vary

• Vary

NUR 6999 - MSN Independent Study

• Course learning outcomes will be determined by supervising faculty prior to registration.

• None

NUR 7200 - Psychiatric Mental Health Nurse Practitioner Theory 1: Care of Infants, Children, and Adolescents

• Demonstrate person-centered therapeutic relationship building, assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning APRN psychiatric mental health nurse practitioner in the care of infants, children, and adolescents
• Differentiate APRN psychiatric nursing roles and interventions from those of other disciplines with whom the PMHNP engages in collaborative practice
• Conceptualize the contexts that delineate assessment and evaluation of APRN psychiatric mental health services
• Identify and evaluate assessment tools and techniques for use in culturally informed assessment and evaluation of diverse needs of individuals, families, groups, and PMH programs
• Analyze the nature of therapeutic problems and approaches for defining person- and relationship-centered goals for problem solving and setting goals for alleviation of problems and promoting health from a nursing perspective
• Compare and contrast theoretical, ethical (relational), and research-based factors that facilitate effective therapeutic relationships
• Analyze key considerations in selecting interventions for specific client populations 
• Critique skills required for use of interventions with specific client populations
• Evaluate effectiveness of person-centered relationship building, assessment, intervention, and evaluation strategies

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Advanced pharmacology 
• Neurobiology and pharmacology

• Assessment of infant, child, and adolescent health patterns
• Mental and behavioral health issues of infants, children, and adolescents to include but not limited to:
  • Attachment
  • Feeding and eating
  • Growth and development
  • Toileting
  • Abuse and neglect
  • Disruptive behavior
  • Education
  • Absorbent mind and plasticity
  • Parenting
  • Socialization
• Mental health, cultural, and developmental diagnoses for infants, children, and adolescents
• Neurophysiological science, nursing theory, and psychotherapy microskills applied in the design, implementation, and evaluation of programs of care for infants, children, adolescents and their parents and caregivers
• PMH APRN therapeutic relationships Skills (verbal and non-verbal) with infants, children, and adolescents
• PMH APRN therapeutic modalities for non-pharmacological and pharmacological treatment of infants, children, and adolescents
• PMH APRN roles in modeling healthy communication, relationships, and boundaries

NUR 7201 - Practicum 1: Infants, Children, and Adolescents

• Demonstrate person-centered and culturally informed assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning APRN psychiatric mental health nurse practitioner in the care of select populations 
• Critique skills required for ethical (relational) use of interventions with specific client populations 
• Evaluate effectiveness of assessment, intervention, and evaluation strategies 
• Participate actively in clinical supervision experiences in the practicum
• Approach practice and projects with a spirit of curiosity and inquiry and an awareness of best practices in person-centered care

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Advanced pharmacology
• Neurobiology and pharmacology

• Assessment of infant, child, and adolescent health patterns
• Mental and behavioral health issues of infants, children, and adolescents
• Mental health, cultural, and developmental diagnoses for infants, children, and adolescents
• Neurophysiological science, nursing theory, and psychotherapy microskills applied in the design, implementation, and evaluation of programs of care for infants, children, adolescents and their parents and caregivers
• Therapeutic relationships skills (verbal and non-verbal) with infants, children, and adolescents
• Therapeutic modalities for non-pharmacological and pharmacological treatment of infants, children, and adolescents
• Modeling healthy communication, relationships, and boundaries
• Fetal Alcohol Syndrome
• Prevention (primary, secondary, tertiary) screening
• Impact of addiction on attachment
• Analyze weekly progress of PMHNP practice skills

NUR 7210 - Psychiatric Mental Health Nurse Practitioner Theory 2: Care of Adult and Geriatric Clients

• Demonstrate person-centered therapeutic relationship building, assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning advanced practice registered nurses (APRN) psychiatric mental health nurse practitioner in the care of adults and geriatric clients 
• Differentiate APRN psychiatric nursing roles and interventions from those of other disciplines with whom the PMHNP engages in collaborative practice 
• Conceptualize the contexts that delineate assessment and evaluation of APRN psychiatric mental health services. 
• Identify and evaluate assessment tools and techniques for use in culturally-informed assessment and evaluation of diverse needs of individuals 
• Analyze the nature of therapeutic problems and approaches for defining person- and relationship-centered goals for problem solving and setting goals for alleviation of problems and promoting health from a nursing perspective 
• Compare and contrast theoretical, ethical (relational), and research-based factors that facilitate effective therapeutic relationships
• Analyze key considerations in selecting interventions for specific client populations 
• Critique skills required for use of interventions with specific client populations 
• Evaluate effectiveness of person-centered relationship building, assessment, intervention, and evaluation strategies 

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Pharmacology I
• Pharmacology II
• PMHNP theory and practice I

• Mental health, cultural, and developmental assessment of health patterns in adults and geriatric clients,
• Mental and behavioral health issues of adult and geriatric clients such as and not limited to:
  • Anxiety, mood, and personality disorders
  • Schizophrenia and other psychosis
  • Sleep disorders
  • Memory
  • Psychiatric emergencies
  • Suicide
  • Trauma and PTSD
  • Violence
  • Family support and caregiver roles
  • End of life
• Mental health diagnosis and adult and geriatric clients
• Neurophysiological science, nursing theory, and psychotherapy microskills applied in the design, implementation, and evaluation of programs of care for adult and geriatric clients
  • Existentialism
  • Solution-focused brief therapy
  • Family therapy (Satir)
  • Structural family therapy (Minuchin)
  • Genograms
  • Interpersonal relationships and alliances
  • Cognitive behavioral therapy
  • Attachment theory (Bowlby)
• Dreams
• Spirituality and self-actualization
• Therapeutic relationships skills (verbal and non-verbal) with adult and geriatric clients
• Integrative holistic health care
• Therapeutic modalities for non-pharmacological and pharmacological care and treatment of adults and geriatric clients: acute, chronic, and “complex”

NUR 7211 - PMHNP Practicum 2 - Care of Adults and Geriatric Clients

• Demonstrate person-centered and culturally informed assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning advanced practice registered nurse (APRN) psychiatric mental health nurse practitioner in the care of select populations 
• Critique skills required for use of interventions with specific client populations
• Evaluate effectiveness of assessment, intervention, and evaluation strategies 
• Participate actively in clinical supervision 
• Approach practice and projects with a spirit of curiosity and inquiry and an awareness of best practices in person-centered care 

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Pharmacology I
• Pharmacology II
• PMHNP theory and practice I

• Assessment of health patterns of adults and geriatric clients
• Mental and behavioral health concerns of adults and geriatric clients
• Mental health, cultural, and developmental diagnoses for adults and geriatric clients
• Neurophysiological science, nursing theory, and psychotherapy microskills applied in the design, implementation, and evaluation of programs of care for adults and geriatric clients and their families
• Therapeutic relationships skills (verbal and non-verbal) with adults and geriatric clients
• Therapeutic modalities for non-pharmacological and pharmacological treatment of adults and geriatric clients (solution-focused therapy, existential therapy, motivational interviewing)
• Modeling healthy communication, relationships, and boundaries
• DSM 5 substance related and addictive disorders (to include alcohol, tobacco, cannabis, opioids, caffeine, inhalants, hallucinogens, CNS depressants, CNS stimulants and other unknown substances)
• Addiction as a chronic brain disorder
• Social stigma
• History of addictions
• Root causes of substance use
• Addictions among healthcare providers
• Analyze weekly progress of PMHNP practice skills

NUR 7220 - Psychiatric Mental Health Nurse Practitioner Theory 3: Care of Systems: Couples, Families, Groups, and Organizations

• Demonstrate assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning advanced practice registered nurse (APRN) psychiatric mental health nurse practitioner in the care of persons within systems: couples, families, groups, and organizations
• Differentiate APRN psychiatric nursing interventions from those of other disciplines with whom the PMH APRN collaborates in the care of persons within systems: couples, families, groups, and organizations 
• Conceptualize the contexts that delineate assessment and evaluation of APRN psychiatric mental health services
• Identify and evaluate assessment tools and techniques for use in culturally informed assessment and evaluation of systems: couples, families, groups, and organizations
• Analyze the nature of therapeutic problems and approaches for defining person- and relationship-centered goals for problem solving and setting goals for alleviation of problems and promoting health in family and organizational systems from a nursing perspective
• Compare and contrast theoretical, ethical (relational), and research-based factors that facilitate effective therapeutic relationships in family and organizational systems 
• Analyze key considerations in selecting interventions for specific client populations
• Critique skills required for use of interventions with specific client populations
• Evaluate effectiveness of assessment, intervention, and evaluation strategies
• Synthesize knowledge of psychiatric mental health (PMH) - advanced practice registered nurse (APRN) scope of practice and roles, collaborative strategies, relational ethics, cultural diplomacy skill in the design, implementation, and evaluation of a final project in planned development and system change within an organization

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Pharmacology I
• Pharmacology II
• PMHNP theory and practice I
• PMHNP theory and practice II

• Assessment of organizational health patterns, family systems, and group behavior
• Mental and behavioral health issues addressed in and by organizations
• Mental health, cultural, and developmental diagnoses for family systems, groups, and organizations
• Neurophysiological science, nursing and change theory, leadership, and communication microskills applied in the design, implementation, and evaluation of system, group, and organizational change such as:
  • Designing a healing environment and milieu management
  • Group theory and therapy (Yalom)
  • Multicultural counseling (Ivey)
  • Conflict resolution
  • Self-in-relation (Hall & Allen)
  • Care delivery models (eHealth, medical home, PHP-IOP, inpatient)
  • Managing transitions
  • Change agency, capacity, and resistance
  • Stakeholders and forces of change
  • Cultivating interprofessional relationships
  • Promoting relationship-centered care and education
  • Leading trauma-informed practice in health care organizations
  • Crisis
  • Psychiatric emergency: suicide and suicide prevention
  • Seclusion/restraint
  • Providing solution-focused clinical supervision and debriefing
  • Motivation
  • Self-care for quality work-life balance
  • Emotional intelligence
  • Power relations and non-judgment
  • Policy shaping
  • Health culture diplomacy and peace making (Libster)
  • Navigating ethical dilemmas
• Power and rules
• Diversity, inclusion, unity, and peacemaking 
• Couple and family dynamics (enmeshment and triangulation)
• Sexual orientation and behavior
• Criticism and conflict resolution
• Housing, economics, and poverty
• Domestic violence
• Maltreatment, abuse, and neglect
• Parenting, foster care, and adoption
• Transference and transparency
• Demonstrating respect
• Designing a group: inclusion and exclusion criteria
• Group membership and cohesiveness
• Structures for specialized therapy groups
• Therapeutic modalities for creating and sustaining healthy organizations
• Self-reflection, loneliness, belonging, and community building
• Leading interdisciplinary teams
• Modeling healthy communication, relationships, and boundaries
• Organization communication and support systems

NUR 7221 - PMHNP Practicum 3 - Care of Systems: Couples, Families, Groups, and Organizations

• Demonstrate person-centered and culturally informed assessment, intervention, and evaluation skills (use of tools, modalities, and techniques) of the beginning APRN psychiatric mental health nurse practitioner within systems: couples, families, groups, and organizations
• Critique skills required for use of interventions with specific client populations 
• Evaluate effectiveness of assessment, intervention, and evaluation strategies 
• Participate actively in clinical supervision
• Approach practice and projects with a spirit of curiosity and inquiry and an awareness of safe and best practices in person-centered care 
• Consult and collaborate with an organization in the assessment, design, implementation, and evaluation of a project for meaningful and planned system change

• Advanced physical assessment
• Advanced pathophysiology
• Theory and role
• Evidence-based practice
• Pharmacology I
• Pharmacology II
• PMHNP theory and practice I
• PMHNP theory and practice II

• Assessing family systems, groups, and organizational health patterns
• Mental and behavioral health issues of couples, families, and groups
• Synthesizing cultural and developmental diagnoses for families, groups, and organizations
• Therapeutic relationships skills (verbal and non-verbal) with couples, families, and groups
• Therapeutic modalities for treatment of couples, families, and groups
• Applying nursing and change theory to design, implement, and evaluate programs for organizational change
• Analyzing mental and behavioral health issues addressed in and by organizations
• Interventions with organizations
• Belonging and community building
• Leading solution-focused supervision, debriefing, coaching, negotiation, and diplomacy
• Modeling healthy communication, relationships, and boundaries
• Organization communication and support systems
• Leading addictions nursing policy and practice standards, certifications, and organizations
• Managing milieu and conflict resolution
• Psychiatric emergencies
• Suicide prevention
• Medicated assisted treatment (MAT)
• Addressing addiction and co-morbidity with couples, families, and groups

NUR 7901 - MSN Capstone: Synthesis and Presentation

• Analyze current data for leadership/practice issue within student’s area of professional interest
• Create well designed and comprehensive capstone project based on analyzed information
• Implement capstone project according to academic and organizational needs and guidance
• Evaluate outcomes after implementation of capstone project
• Write a capstone manuscript that can be presented for publication or scholarship dissemination
• Disseminate findings of capstone via poster and presentation to community audience

• Theory and role
• Evidence-based practice
• Project management
• Quality and safety
• PMHNP theory and practice II

• Development and presentation of scholarly work within the student’s area of investigation

PER 5010 - Advanced Physiology

• Apply the concept of homeostasis to the control select regulated variables  
• Identify the structures common to eukaryotic cells and explain how each contributes to functions of various cell types. Predict how cell structures would vary between cell types
• Contrast the pathways by which charged and uncharged molecules can traverse the plasma membrane and identify the factors that would impact the rate of molecular movement in these pathways  
• Explain how membrane potentials are generated and predict the changes that will occur in membrane potentials when ion concentration or permeabilities change 
• Identify the structures of the heart 
• Name and identify the locations of the major blood vessels 
• Explain the physical principles and physiological processes that regulate function of the cardiovascular system 
• Describe the steps of hemostasis, including the specific roles of platelets and clotting factors 
• Describe the components of the immune system and how they interact to functionally provide immune function 
• Discuss the roles of the autonomic nervous system and endocrine system in homeostatic feedback loops 
• Describe the body compartments, their relative sizes and identify how water moves between the compartments 
• Describe the anatomy and physiology of the urinary system, including the regulation of GFR, functional aspects of the nephron and control of secretion and reabsorption that occurs along the nephron 
• Discuss the mechanisms of acid/base balance and apply them to physiological situations 
• Describe the anatomy and physiology of the respiratory system, including mechanisms for gas exchange and transport 
• Describe the major functions of the liver 

• Macromolecules and their functions 
• Cell structures and functions 

• Homeostasis and cell function  
• Cell membrane and transport mechanisms 
• Genetics 
• Electrophysiology 
• Skeletal and smooth muscle structure and function  
• Cardiovascular anatomy and physiology 
• Hemostasis 
• Immunity  
• Autonomic nervous system  
• Endocrine system  
• Body fluid compartments  
• Urinary system  
• Acid/base balance  
• Respiratory system  
• Liver 

PER 5020 - Pathophysiology

• Explain the cellular basis of disease and the causes of cellular injury 
• Describe the vascular changes that occur with acute and chronic inflammation and list the mediators of the vascular changes 
• Describe the processes involved in tissue repair and regeneration 
• Describe the cells and mediators involved in immunity, their roles and how they are regulated 
• Describe the types of hypersensitivity reactions of the immune system and how they might develop 
• Describe the alterations that can occur in hemostasis and in delivery of blood flow, their manifestations and treatments 
• Describe the types, manifestations, and treatments of circulatory shock and coronary artery disease 
• Describe the types, manifestations, and treatments of valvular disorders, heart failure and cardiac arrhythmias 
• Describe the types, manifestations, and treatments of pericardial diseases and anemias 
• Describe the types, manifestations, and treatments of fluid and electrolyte disorders and acid/base disorders 
• Describe the types, manifestations, and treatments of intrarenal disorders and renal failure 
• Describe the types, manifestations, and treatments of respiratory disorders 
• Describe the types, manifestations, and treatments of endocrine disorders 

• Physiology of immune, cardiovascular, respiratory and renal systems

• Cell injury, aging, and death 
• Acute and chronic inflammation 
• Immune system and immune system dysfunction 
• Alterations in hemostasis and hemodynamic disorders 
• Circulatory shock  
• Coronary artery disease and coronary catheterization  
• Valvular heart disease and heart failure 
• Hypertension and cardiac arrythmias 
• Pericardial disease, anemias and transfusions 
• Fluid and electrolyte disorders and acid/base disorders 
• Intrarenal disorders 
• Renal failure 
• Respiratory disorders 
• Endocrine disorders 

PER 5030 - Pharmacology

• Apply the concepts of pharmacokinetics and pharmacodynamics to specific drug groups 
• Describe the basic principles of function of compounds that act on the peripheral nervous system, provide examples of drugs from each class, and identify their mechanisms of action 
• Describe the basic principles of cardiovascular and renal pharmacology, provide examples of drugs from each class, and identify their mechanisms of actions and uses 
• Describe the basic principles of anticoagulants, provide examples of drugs from each class, and identify their mechanisms of action and uses 
• Describe the basic principles of anesthetic agents, provide examples of drugs from each class, and identify their mechanisms of action and uses
• Describe the basic principles of chemotherapy of infectious agents, provide examples of drugs from each class, and identify their mechanisms of action and uses
• Describe the basic principles of the pharmacological agents affecting the immune system, provide examples of drugs from each class, and identify their mechanisms of action and uses
• Describe the basic principles of cancer chemotherapy, provide examples of drugs from each class, and identify their mechanisms of action and uses

• Autonomic nervous system function
• Cardiovascular function
• Immune system function

• Basic principles of pharmacology 
• Autonomic nervous system drugs 
• Cardiovascular drugs 
• Anticoagulants 
• Drugs for hyperlipidemia 
• Anesthetics and skeletal muscle relaxants 
• Antimicrobial agents 
• Cancer chemotherapy and immunosuppressive agents 
• Drugs for diabetes and seizures 

PER 5510 - Design of Experiments

• Define and calculate mean, median, mode, standard deviation, range, coefficient of variation and percentiles of data sets 
• Assess normality of data sets 
• Identify measurement scales (ratio, interval, ordinal, nominal) and their significance in statistical designs 
• Identify and distinguish between independent and dependent variables within research studies 
• Explain the concepts, calculations, and use associated with measures of sensitivity, specificity, positive and negative predictive values as they relate to diagnostic screening tests 
• Formulate statistically testable hypotheses in both mathematical and English terms 
• Explain the potential causes of Type I and Type II error and the interdependent influences of alpha, sample size, and effect size on statistical power 
• Appropriately use the three variations of the t-test and apply appropriate tests for compliance with their underlying assumptions 
• Appropriately use fixed and repeated-measures ANOVA within research designs and test for their underlying assumptions 
• Explain the structure, value, and interpretation of the ANOVA source table 
• Conduct appropriate multiple comparison tests in conjunction with ANOVA analysis 
• Explain the advantages and disadvantages associated with repeated-measures designs 
• Explain the concepts and use of correlation, single, multiple, polynomial, and logistic regression models - including knowing how to assess the fit and quality of these models 
• Explain the value and use of basic nonparametric statistical tests 
• Statistically, graphically, and completely evaluate and interpret raw experimental data sets 
• Critically evaluate and properly assess the statistical designs and their underlying assumptions used within research studies 

• None

• Research concepts, descriptive statistics, hypothesis testing, diagnostic tests 
• Use and interpretation of the single-sample, paired, and unpaired t-test 
• Use and interpretation of the fixed-effect and repeated-measures ANOVA  
• Correlation and regression analysis 
• Nonparametric statistical tests (chi-square, Mann-Whitney U, Kruskal-Wallis) 

PER 5980 - Topics in Perfusion

• Vary

• Vary

• Vary

PER 6210 - Clinical Extracorporeal Perfusion I

• Describe the clinical instruction process of the MSP program 
• Articulate student expectations of the MSP program 
• Explain the scope of practice of a perfusionist 
• Explain the history and developmental milestones of cardiopulmonary bypass 
• Identify and employ aseptic techniques in the operating room 
• Describe how the typical cardiovascular surgical patient presents 
• Explain the standard monitoring of surgical cardiac patients 
• Identify the components of various priming solutions and explain the situations in which common priming solutions are used 
• Explain the benefits and disadvantages of hemodilution during CPB 
• Describe the conduct of perfusion, from initiation through termination of cardiopulmonary bypass 
• Identify and use the equipment necessary to perform cardiopulmonary bypass 
• Describe the physiological theory of cardiopulmonary bypass 
• Demonstrate literature review skills 

• None

• Processes, assessments, and student expectations of the MSP program 
• Scope of practice of perfusionists 
• History and developmental milestones of cardiopulmonary bypass 
• Operating room aseptic technique 
• Common diagnoses and comorbidities of cardiac surgical patients 
• Monitoring of surgical cardiac patients 
• Priming solutions and their uses 
• Use of hemodilution during CPB  
• Role of perfusionists during cardiopulmonary bypass 
• Equipment used to perform cardiopulmonary bypass 
• Physiological theory of cardiopulmonary bypass

PER 6220 - Clinical Extracorporeal Perfusion II

• Explain the theoretical underpinnings and practical applications of myocardial protection 
• Describe the various solutions and arrest methods utilized for cardioplegia 
• Describe the various delivery routes for cardioplegia administration and the benefits and drawbacks for each. 
• Diagram the coagulation cascade and complement system 
• Describe the role of platelets in normal physiology and how they are impacted during CPB 
• Discuss challenges resulting from blood surface interface and ways to minimize its detrimental effects 
• Exhibit knowledge of the pharmacology of anticoagulants and procoagulants 
• Diagnose heparin resistance and differentiate it from antithrombin III deficiency 
• Discuss the mechanism of heparin induced thrombocytopenia (HIT) and explain how to manage this type of patient during CPB 
• Explain the process and possible deleterious effects of heparin neutralization via protamine sulfate (e.g. protamine reactions and treatment options) 
• Discuss the impact of CPB on the following systems: pulmonary, renal, splanchnic, hepatic, viscera, and neurologic 
• Describe the endocrine, metabolic, and electrolyte responses to CPB 
• Describe the immune and inflammatory responses associated with CPB 

• Basic principles of clinical perfusion practice

• Myocardial protection and arrest methods  
• Impact of CPB on clotting processes and the complement system 
• Impact of circuit components on blood constituents  
• Use of anticoagulants and procoagulants in cardiovascular patients 
• Impact of CPB on various body systems and processes 

PER 6230 - Clinical Extracorporeal Perfusion III

• Describe the effect CPB has on various electrolytes and identify the corresponding tests to monitor the value of each  
• Compare and contrast the various tests used to assess the coagulation system and interpret test results in the context of patient clinical history  
• Discuss the monitoring techniques utilized during the perioperative period  
• Recognize and treat physiological differences between various patients, their disease states, and the type of surgical procedure they may undergo  
• Explain the physiology of myocardial protection, the determinants of appropriate myocardial preservation, and the technical details of cardioplegia administration  
• Discuss the characteristics and components of various cardioplegia solutions and subsequent delivery techniques  
• Describe the implications of blood product administration, as well as explain techniques to avoid utilizing blood products  
• Describe the theory behind pulsatile perfusion and the clinical implications of its application  
• Explain the clinical uses of hypothermia, including its beneficial and adverse effects  
• Describe the perfusion techniques utilized for thoracic aortic surgery  
• Explain the use of ECMO and its application to the adult population  

• Clinical perfusion practice basics

• Clinical monitoring of electrolytes   
• Use of coagulation assessment in patient treatment  
• Perioperative patient monitoring  
• Myocardial protection and preservation  
• Cardioplegia delivery techniques  
• Use of blood products and techniques to avoid blood product administration during CPB  
• Pulsatile perfusion and the clinical implications of its application  
• The clinical uses of hypothermia  
• Perfusion techniques utilized for thoracic aortic surgery  
• ECMO and its application to the adult population  

PER 6240 - Special Situations in Perfusion Practice

• Prepare for procedures such as off pump coronary artery bypass grafting, minimally invasive direct coronary artery bypass grafting, transmyocardial laser revascularization, lead extractions, pump standbys, etc.  
• Apply the various techniques associated with on-pump minimally invasive procedures such as robotic-assisted and port access  
• Employ the techniques and considerations associated with left and right-heart bypass procedures  
• Explain the circuits, techniques, and considerations associated with cardiopulmonary support in the urgent setting  
• Safely utilize vacuum and kinetic-assisted venous drainage during CPB  
• Employ interventions to minimize air introduction into the CPB circuit  
• Explain the negative effects of air emboli in patients  
• Describe the role of perfusionists in emergency preparedness  
• Discuss the specifications and operating parameters of various pieces of perfusion equipment and components  
• Prepare for procedures involving patients with malignant hyperthermia, sickle cell, various beliefs and medical directives, pregnant patients
• Understand the process of transplantation and apply perfusion techniques to heart, lung, and liver transplant procedures
• Manage patients requiring non-cardiovascular support such as isolated limb perfusion, plasmapheresis, and hyperthermic intraperitoneal chemotherapy (HIPEC)
• Perform autologous platelet gel, bone marrow aspirate therapies and angiovac procedures for patients
• Apply a “best practices” approach to perfusion based on database and outcomes management techniques
• Employ teamwork in the workplace to promote good patient outcomes
• Describe how CQI, HIPAA, and business and legal aspects work in perfusion health care
• Explain the perfusion board exam process and requirements necessary to participate in each part of the exam
• Demonstrate the skills needed to prepare a cover letter and resume for each job application
• Explain the differences between ethics and medical ethics
• Apply ethics in research situations
• Apply medical ethics in situations a perfusionist will encounter (life support and end-of-life situations)

• Basics of clinical perfusion practice

• Procedures such as off pump coronary artery bypass grafting, minimally invasive direct coronary artery bypass grafting, transmyocardial laser revascularization, lead extractions, pump standbys, etc.  
• Techniques associated with on-pump minimally invasive procedures such as robotic-assisted and port access  
• Techniques and considerations associated with left and right-heart bypass procedures  
• Circuits, techniques, and considerations associated with cardiopulmonary support in the urgent setting  
• Use of vacuum and kinetic-assisted venous drainage during CPB  
• Interventions to minimize air introduction into the CPB circuit  
• Impacts of air emboli in patients  
• Role of perfusionists in emergency preparedness
• Specifications and operating parameters of various pieces of perfusion equipment and components  
• Role of perfusionists in extraordinary situations (malignant hyperthermia, pregnant patients, sickle cell patients, etc.)
• Techniques to manage patients with heparin-induced thrombocytopenia and other hemoglobinopathies
• Role of perfusionists in transplantation procedures of the heart, lungs, and liver
• Use of non-cardiovascular support (isolated limb perfusion, plasmapheresis, HIPEC, etc.) for specific patient populations
• Employ new technologies (platelet gel, bone marrow aspirate, and angiovac procedure)
• Manage database and outcomes to promote “best practice” perfusion management
• Promote teamwork to enhance patient outcomes
• Employ quality assurance/control for lab regulatory compliance
• Impacts of business and legal aspects of perfusion
• Prepare for the American Board of Cardiovascular Perfusion (ABCP) Certification Exams
• Prepare for job acquisition with resume/cover letter writing and job-interviewing skills

• Implementation of course topics in the simulation setting.

PER 6250 - Pediatric Extracorporeal Perfusion

• Diagram fetal, neonatal, and pediatric anatomy and relate it to the physiology at these developmental stages. 
• Identify the physiological consequences associated with the various congenital heart defects 
• Explain the basics of the procedures used to treat select congenital heart defects 
• Explain the preoperative course of the pediatric patient 
• Compare the anesthetic strategies employed during pediatric surgery 
• Apply perfusion principles of circuits, myocardial protection, hypothermia and circulatory arrest to pediatric surgeries.  
• Explain the potential neurological effects of CPB and neuro-protective strategies that are used in the pediatric setting 
• Explain the uses of ECMO in the pediatric setting 
• Contrast the various circulatory assist devices used in pediatrics

• Basics of adult cardiopulmonary perfusion

• Stages of circulatory system development and the physiological changes that occur during these stages
• Congenital heart defects
• Practice of cardiopulmonary bypass in pediatric patients
• Practice of ancillary perfusion procedures, such as ECMO in pediatric patients

PER 6310 - Perfusion Simulation I

• Set up a CPB circuit 
• Prime the CPB circuit 
• Go on and come off bypass 
• Run the middle of a “standard” CPB case

• None

• CPB circuit setup
• CPB circuit priming methods
• Initiating cardiopulmonary bypass
• Weaning from cardiopulmonary bypass
• Practices while the patient is on cardiopulmonary bypass

PER 6320 - Perfusion Simulation II

• Simulate a complete cardiopulmonary bypass run without the need to seek to consult outside resources
• Demonstrate an ability to effectively respond to patient physiological changes while on bypass.
• Interpret anticoagulation and blood gas analysis testing and troubleshoot abnormal values.

• Initiation and weaning from bypass

• Clinical CPB procedures
• Blood gas analysis during CPB
• Basic and advanced troubleshooting during CPB

PER 6410 - Clinical Perfusion Practicum I

• Navigate ASLMC and the operating room environment and articulate the roles of the operating room personnel, the locations of equipment and supplies, stay compliant with OSHA policies, and function within a sterile environment  
• Demonstrate an understanding of the surgical patient with respect to the normal course to surgery, surgical preparation, monitoring, procedure(s), ICU transition, and postoperative course  
• Acquire a general familiarity with the basic CPB pump components, supplies, and ancillary equipment  
• Communicate details about the CPB circuit, including operational characteristics, inspection and evaluation of equipment and supplies, assembling a CPB back-up circuit, and priming  
• Demonstrate advanced understanding of the patient with respect to history, physical, and cardiac catheterization lab and blood gas data  
• Implement a pre-bypass checklist and surgical/CPB plan and routine  
• Exhibit an ability to participate in patient charting and some basic perfusion tasks during surgery  
• Exhibit mastery of circuit set-ups, priming, and preparation for bypass  
• Exhibit familiarity during surgery with the specific details of patient monitoring, cannulation, and blood gas/anticoagulation monitoring  
• Perform additional basic perfusion tasks as allowed by the instructor  

• None

• Clinical practice of perfusion in the surgical setting

PER 6420 - Clinical Perfusion Practicum II

• Exhibit mastery of circuit set-ups, priming, and preparation for bypass 
• Exhibit familiarity during surgery with the specific details of patient monitoring, cannulation, and blood gas/anticoagulation monitoring 
• Perform additional basic perfusion tasks as allowed by the instructor 
• Postoperatively monitor the patient status, participate in blood salvage procedures, disassemble/dispose of the used circuit, disinfect the pump console, and set up the circuit for the next procedure 
• Prepare the CPB circuit, specifically for each patient, based upon the surgical and CPB plan 
• Assume the responsibilities as the “primary perfusionist”-initiate CPB, operate ancillary pump components, manage the patient’s hemodynamics, volume status, blood gases, anticoagulation, and temperature, all while maintaining circuit and procedural awareness 
• Wean the patient from bypass and monitor them and the pump until the end of the procedure 
• Act as the “primary perfusionist,” as demonstrated by proficiency in the practice of perfusion technology and a progressively more independent manner 
• Function in cases with increasing difficulty with regard to technical complexity 
• Apply advanced pharmacology concepts as learned in the didactic portion of this term 

• Basic clinical perfusion techniques

• Clinical practice of perfusion in the surgical setting

PER 6430 - Clinical Perfusion Practicum III

• Act as the “primary perfusionist” as demonstrated by proficiency in the practice of perfusion technology in a progressively more independent manner 
• Demonstrate more advanced perfusion techniques  
• Take part in ancillary tasks such as platelet gel preparation and non-cardiac support  
• Apply advanced pharmacology concepts as learned in previous quarters  
• Function on-call on pre-appointed weekends (Friday 1600 - Monday 0600).  
• Navigate Children’s Hospital of Wisconsin and the operating room environment including the roles of the operating room personnel, locations of equipment and supplies, OSHA policies, and concepts of the sterile environment 
• Demonstrate understanding of the pediatric surgical patient with respect to the normal course to surgery, surgery preparation, monitoring, procedures, ICU transition, and postoperative course 
• Take part in basic pediatric CPB pump component, supplies, and ancillary equipment selection 
• Assist in CPB circuit set-up and priming as allowed by the instructor 
• Demonstrate advanced understanding of the patient with respect to history, physical, and cardiac catheterization lab and blood gas data   
• Implement a pre-bypass checklist and surgical/CPB plan and routine   
• Exhibit familiarity during surgery with the specific details of patient monitoring, cannulation, and blood gas/anticoagulation monitoring with respect to the pediatric patient 
• Participate in patient charting, assessment of perfusion adequacy, and some basic perfusion tasks as allowed by the instructor 
• For those patients given the opportunity for an extended rotation, function on-call during the rotation to participate in all types of on-call activities including pediatric ECMO

• Successfully pass the level 2 clinical perfusion exam

• Clinical perfusion practice

PER 6440 - Clinical Perfusion Practicum IV

• Manage cases in a progressively more independent manner  
• Demonstrate a complete understanding of the monitoring and techniques associated with adequacy of perfusion  
• Demonstrate more advanced perfusion techniques  
• Function in cases with increasing difficulty with regard to technical complexity  
• Take part in ancillary tasks such as platelet gel preparation and non-cardiac support, blood gas analysis/monitoring, coagulation assessment/monitoring 
• Support patients with intra-aortic balloon pumps and ventricular assist devices  
• Demonstrate proficiency of autotransfusion devices 
• Function on-call on pre-appointed weekends (Friday 1600 - Monday 0600)

• Suitable progression through clinical level 3.

• Clinical practice of perfusion in the surgical setting

PER 6450 - Clinical Perfusion Practicum V

• Manage cases with minimal (or no) instructor intervention  
• Demonstrate a complete understanding of the monitoring and techniques associated with adequacy of perfusion  
• Demonstrate advanced perfusion techniques/practices and troubleshooting  
• Exhibit an understanding of special perfusion situations and the specifics regarding catastrophic event management  
• Function on-call on pre-appointed weekends (Friday 1600 - Monday 0600)  

• Suitable progression through clinical level 3

• Clinical practice of perfusion in the surgical setting