Mar 28, 2024  
2017-2018 Undergraduate Academic Catalog 
    
2017-2018 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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BE 3300 - Biomedical Engineering Transfer Topics

3 lecture hours 0 lab hours 3 credits
Course Description
This course provides transfer students additional knowledge necessary for their integration into MSOE’s biomedical engineering program. Specifically, it introduces important design, record keeping and regulatory concepts, covers MATLAB as a second computer language, and adds biostatistics knowledge to existing statistics backgrounds. Other topics may be covered as needed. It provides select prerequisite knowledge from BE 1000 , BE 2000 , BE 2200 , and MA 3610 . (prereq: junior standing, transfer student, permission of instructor)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Apply to and be assigned a position on a design team
  • Work effectively as a member of a design team
  • Indentify customer needs and translate these into engineering specifications
  • Effectively conduct market research and competitive analysis
  • Plan, manage and budget
  • Describe career option available to BMEs
  • Describe the role of the FDA in medical device regulation in the United States
  • Maintain design documentation and an engineering logbook
  • Search and use the technical literature
  • Be able describe the various types of intellectual property
  • Use Matlab in the interactive, command mode to solve very simple engineering problems
  • Create Matlab scripts (.m files) to solve simple engineering problems
  • Analyze existing Matlab programs and understand their operation
  • Design, document, implement and test simple Matlab programs to solve biomedical engineering problems
  • Correctly use Matlab selection and repetition constructs in programs
  • Correctly use Matlab’s advanced data types (complex, strings and cell arrays) in programs
  • Read data from and write data to arbitrarily formatted text files in Matlab programs
  • Produce professional looking graphics (data plots) using Matlab (both interactively and programmatically)
  • Correctly apply z-tests and t-tests
  • Perform one- and two-sample inference hypothesis testing
  • Evaluate validity and reliability of measurements
  • Apply common concepts of experimental and statistical control of error
  • Perform analyses of variance
  • Develop and apply repeated-measures designs

Prerequisites by Topic
  • An introductory knowledge of biomedical engineering topics
  • Proficiency in at least one high level programming language
  • Proficiency in basic probability and statistics

Course Topics
  • The MSOE BME design process and being a member of a design team
  • Specifications and understanding customer needs
  • Market research and competitive analysis
  • Project planning, management & budgeting
  • CAD and Solid Modeling
  • Career options for BMEs
  • Introduction to FDA
  • Design documentation and maintaining an engineering logbook
  • Searching the technical literature
  • Intellectual property
  • Matlab in the interactive, command mode to solve very simple engineering problems
  • Matlab scripts (.m files) that solve simple engineering problems
  • Designing, documenting, implementing and testing simple Matlab programs
  • Matlab selection and repetition constructs
  • Matlab’s advanced data types (complex, strings and cell arrays)
  • Advanced (formatted) file I/O
  • Professional looking graphics (data plots) using Matlab (both interactively and programmatically)
  • Correctly applying z-tests and t-tests
  • Performing one- and two-sample inference hypothesis testing
  • Evaluating validity and reliability of measurements
  • Applying common concepts of experimental and statistical control of error
  • Performing analyses of variance
  • Developing and applying repeated-measures designs

Coordinator
Charles Tritt



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