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2023-2024 Graduate Academic Catalog [ARCHIVED CATALOG]
Course Descriptions
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Perfusion |
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PER 6510 - Seminar on Clinical Medicine 1 lecture hours 0 lab hours 1 credits
Course Description
This graduate seminar on clinical medicine includes the following topics: assessment and management of risk factors for open heart surgery, blood conservation, hemodynamic monitoring, ventilator support, dialysis/hemofiltration, IABP/pacemakers/defibrillators, ventricular support devices, transplantation, and special topics in cardiopulmonary bypass. (prereq: PER 5020 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Explain the theory and operation of intra-aortic balloon pumps
- Describe the history of VAD development and the theory of VAD operation
- List the specific VADs used at SLMC and explain the conditions under which each might be used.
- List risk factors associated with heart disease
- Describe the use of dialysis and hemofiltration for fluid management in the cardiac surgical patients
- Describe the use of ventilator support, inhaled Flolan and nitric oxide for managing patients with pulmonary dysfunction.
- Explain the uses of blood products for the treatment of hemodynamic and coagulative disorders.
- Explain the factors that are included in the assessments for transplant candidates
- Describe the use of UNOS and pre- and post-operative care for transplant patients
- Explain the surgical management of transplant patients
- Describe the methods for control and monitoring of electrophysiological heart rhythms
- Clinical objectives
- Carry out the operation of IABPs
- Perform basic VAD management
- Perform patient training associated with home care and VADs
- Operate the Continuous Renal Replacement Therapy machine
Prerequisites by Topic
- Cardiovascular pathophysiology
Course Topics
- IABPs
- VAD history and theory
- VAD console operation
- Cardiac risk factors/pulmonary medicine
- Dialysis/hemofiltration
- Blood conservation/blood products
- Transplantation
- Pacers
Coordinator
Kathleen Princer
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PER 6999 - Perfusion Independent Study Variable credits
Course Description
Independent study allows a student with a particular interest in a topic to undertake additional work outside of the classroom format. The student works under the supervision of a faculty member and undertakes studies that typically lead to a report. (prereq: instructor and department chair consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
Prerequisites by Topic
Course Topics
Coordinator
Dr. Ron Gerrits
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PER 7901 - Master’s Capstone 4 lecture hours 0 lab hours 4 credits
Course Description
Students working toward the degree of Master of Science in Perfusion must design, perform, analyze, and communicate the results of a research or design project. Students can choose from a wide range of project types. These might include a meta-analysis of previous research, an original clinical or basic science investigation, or a design project. The project is considered complete after the student successfully completes an oral defense and their written document has been accepted for publication by the library. (prereq: program director consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Perform a detailed literature search using PubMed or similar research database
- Summarize background literature in a manner that culminates in a reasonable project statement
- Perform a study, experiment, or design to address the project statement
- Summarize, appropriately interpret, and present results
- Make reasonable conclusions as to the applicability of the findings or design
- Present background, study, and results in both written and oral format
Prerequisites by Topic
Course Topics
Coordinator
Dr. Ron Gerrits
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Philosophy |
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PHL 6001 - AI Ethics and Governance 4 lecture hours 0 lab hours 4 credits
Course Description
This course introduces students to some of the central ethical issues in existing and emerging digital technologies, with an emphasis on the ethics of artificial intelligence (AI), as well as how these issues arise in the context of organizational governance and compliance. Students will explore topics in digital and AI ethics with respect to relevant professional areas-such as data science, computer science, software engineering, user experience and design, among others-as well as topics concerning the broader social implications of digital technologies and the ethical challenges they raise. The goal of the course is to critically engage with these topics and cases interactively, studying both their theoretical, philosophical context and their practical implications, so that students can pursue continued, independent reflection on key issues in digital and AI ethics and apply the guiding ethical principles that emerge to their own professional and personal lives. In addition to addressing these ethical challenges, students will consider how organizations and institutions-for example, corporations and IRBs but also legislative bodies-can or should respond to such challenges through regulation, oversight, or other mechanisms. Students will be encouraged to draw on their own professional experience in assessing key questions and cases in digital and AI ethics. (prereq: none)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Demonstrate advanced knowledge of existing ethical issues in digital technologies and AI
- Anticipate ethical issues arising from emerging digital technologies and developments in AI
- Identify the philosophical bases for ethical concerns surrounding digital technologies and AI
- Exhibit familiarity with and understanding of established ethical frameworks, concepts, and principles within ethical theory
- Synthesize those theoretical frameworks, concepts, and principles and connect them to applied issues, using the theoretical resources to help understand and resolve the applied issues while at the same time scrutinizing the theoretical principles by evaluating their real-world implications
- Evaluate competing considerations about engineers’ and designers’ moral responsibility for the products they create and services they provide
- Engage in independent ethical reasoning on novel problems using theoretical and practical ethical resources learned
- Foster ethical behavior and integrity in their professional and personal lives using the theoretical and practical resources learned
- Develop concrete proposals for addressing ethical challenges in digital technologies and AI at the level of organizational governance
Prerequisites by Topic
Course Topics
- Ethical frameworks, concepts, and principles (consequentialism, deontology, rights, etc.)
- Ethics of information, part I: privacy and transparency
- Ethics of information, part II: intellectual property, individual liberties, and human rights
- Algorithmic bias, “weapons of math destruction,” and social justice
- The “black box” explainability problem in deep learning AI
- Ethics of human-AI interaction and impact on social relationships (e.g., anthropomorphic framing in AI and robotics)
- Digital technologies and human well-being: digital media and mental health
- Digital technologies and democracy: digital media, filtering, misinformation, and political polarization
- AI and human work: automation, worker displacement, and the meaning of work
- Ethics of design and user experience: “dark patterns” and user agency
- Ethics of data capture, digital advertising, and “surveillance capitalism”
- Ethics of biometric identification
- Data privacy and regulatory mechanisms: GDPR, HIPPA, IRB regulations, etc.
- The internet, social media, and the question of legal status (e.g., public utility status, technology or publishing company status, etc.)
- Artificial moral agency, part I: theory
- Artificial moral agency, part II: application (e.g., ethics settings in driverless cars, constraints on autonomous weapons systems, etc.)
Coordinator
Dr. Andrew McAninch
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Physics |
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PHY 5980 - Topics in Physics Variable credits
Course Description
This course allows for study of emerging topics in physics that are not present in the curriculum. (prereq: instructor consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
Prerequisites by Topic
Course Topics
Coordinator
Dr. Matey Kaltchev
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Software Engineering |
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SWE 5980 - Topics in Software Engineering Variable credits
Course Description
This course allows for study of emerging topics in software engineering that are not present in the curriculum. Topics of mutual interest to faculty and students will be explored. (prereq: instructor consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
Prerequisites by Topic
Course Topics
Coordinator
Dr. Sohum Sohoni
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SWE 5981 - Topics in Software Engineering with Laboratory Variable credits
Course Description
This course allows for study of emerging topics in software engineering that are not present in the curriculum. Topics of mutual interest to faculty and students will be explored. The course includes a laboratory. (prereq: instructor consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
Prerequisites by Topic
Course Topics
Laboratory Topics
Coordinator
Dr. Sohum Sohoni
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