ECE 472

Design, Modeling, and Simulation for High Technology Systems in Medicine

Usually offered: Fall

Required course: No

Course Level

Undergraduate

Units

3

Instructor(s)

Jerzy Rozenblit, Professor

Prerequisite(s)

Recommendations and additional information: Mastery of material in the areas of electrical and computer engineering, or mechanical engineering, or biomedical engineering at the level commensurate with senior/junior level standing.

Course Texts

No required textbook. A list of reading materials will be assigned in class. In preparation for the discussion and reflection component of the course, students will be assigned weekly readings to consist of a mixture of academic works and actual application studies. Team projects will be designed to implement conceptual ideas. They will be carried out in the joint engineering and medical laboratory in the Arizona Surgical and Educational Technologies Center.

Schedule

Two 75-minute lecture per week, 01:00 PM - 03:30 PM.

Course Description

Specific Course Information:
2021-2022 Catalog Data:  Healthcare is changing at a very rapid pace. So does its attendant complexity and ever-increasing reliance on high technology support. Technical medicine, where sophisticated, technology-based methods are used in the education of healthcare professionals and in the treatment of patients, is becoming a recognized discipline. Such methods require a new generation of engineers, scientists, and systems designers to integrate medical and technical domains. With this in mind, this concept proposes a new honors engineering technical elective, to train innovators in this emerging domain. The course will be open to honors engineering students from all departments. In this course, students will investigate current medical and health care practices using high technology. The class will focus on systems design, modeling, and simulation technologies as applied to medicine.

Learning Outcomes

Specific Goals for the Course:
Outcomes of Instruction: By the end of this course the student will be able to:

  1. Study basic healthcare terminology;
  2. Study and analyze existing healthcare simulation systems;
  3. Participate in cross-disciplinary team projects;
  4. Specify, operate, and debug models that are used in simulation-based medical training; and
  5. Participate in in-class design reviews and team-based oral presentations.

Course Topics

Brief list of topics to be covered:

  • Key course modules:
  • Healthcare and technology
  • Design and modeling principles for complex systems development (foundational material for the design project)
  • Life-critical systems
  • Simulation solutions for training and assistive support in healthcare (deploying technology in clinical and educational settings)
  • Selected topical areas (with a focus on the background preparation of students). The representative area will include:
    Surgical training for minimally invasive and robotic procedures
    Medical devices and cybersecurity
    Telemedicine in the era of pandemic

Relationship to Student Outcomes

ECE 472 contributes directly to the following specific electrical and computer engineering student outcomes of the ECE department:

1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
3. An ability to communicate effectively with a range of audiences.
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Syllabus Prepared By

Syllabus updated on 3/29/2022

Contact Undergraduate Advisor: undergradadvisor@ece.arizona.edu

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