Biomedical Engineering

BME 510. Graduate Internship. 3-6 Credits.

A practical research experience with an employer or another research laboratory closely associated with the student's academic research area. A written report and an oral presentation are required. Prerequisite: Advisor approval is required; must be eligible to legally work at the site. Repeatable to 6.00 credits. S/U grading. F,S,SS.

BME 599. Doctoral Research. 1-15 Credits.

Doctoral research for Ph.D. students in BME. Repeatable to 15.00 credits. F,S,SS.

BME 630. Anatomy and Physiology for Biomedical Engineers. 6 Credits.

Biomedical engineering is a growing field of engineering that requires a fundamental understanding of human anatomy and physiology. This course is intended to provide a foundation for biomedical engineers with a focus on learning necessary terminologies, concepts, and functions essential to human anatomy and physiology. Prerequisite: Consent of instructor. F.

BME 631. Anatomy and Physiology for Biomedical Engineers I. 4 Credits.

This course is designed to develop the student in; 1) the practice of medical device and process innovation, 2) the engineering perspective of physiological concepts, 3) professionalism, and 4) ethical and regulatory issues. The course uses an established experiential learning model termed Innovation-Based learning. In innovation-based learning, students select an innovation project, form teams, and throughout the semester, learn to integrate physiological knowledge with ethical and regulatory constraints to produce an innovation in the biomedical engineering space while gaining professional skills. Student assessment of learning is accomplished through mastery of pillar concepts, generation of project tokens, and communicating the innovation to society. Prerequisite: Background knowledge in differential equations, physics of electric and magnetic fields, introductory chemistry, or by instructor approval. F.

BME 632. Anatomy and Physiology for Biomedical Engineers II. 4 Credits.

This course is designed to develop the student in; 1) the practice of medical device and process innovation, 2) the engineering perspective of physiological concepts, 3) professionalism, and 4) ethical and regulatory issues. The course uses an established experiential learning model termed Innovation-Based learning. In innovation-based learning, students select an innovation project, form teams, and throughout the semester, learn to integrate physiological knowledge with ethical and regulatory constraints to produce an innovation in the biomedical engineering space while gaining professional skills. Student assessment of learning is accomplished through mastery of pillar concepts, generation of project tokens, and communicating the innovation to society. Prerequisite: BME 631 with a "C" or better, or by instructor approval. S.

BME 670. Seminar for Biomedical Engineers. 1-3 Credits.

The purpose of the course is to practice communication skills in writing papers and preparing presentations. Prerequisite: Consent of instructor. Repeatable to 3.00 credits. F,S.

BME 690. Special Topics in Biomedical Engineering. 1-9 Credits.

Special topics for graduate students in BME. Repeatable to 9.00 credits. F,S,SS.

BME 996. Continuing Enrollment. 1-12 Credits.

Continuing enrollment for graduate students in BME. Repeatable to 12.00 credits. S/U grading. F,S,SS.

BME 997. MS Project. 1-3 Credits.

This is the course required for the students in non-thesis based MS program in BME. Prerequisite: Consent of advisor. Repeatable to 3.00 credits. F,S,SS.

BME 998. MS Thesis. 1-9 Credits.

Thesis for students in the thesis-based MS program in BME. Repeatable to 9.00 credits. F,S,SS.

BME 999. PhD Dissertation. 1-15 Credits.

Dissertation for Ph.D. students in BME. Repeatable to 15.00 credits. F,S,SS.

Undergraduate Courses for Graduate Credit

BME 432. Fundamentals of Biomedical Optics. 3 Credits.

Biomedical optics is an emerging interdisciplinary field where optical methods are utilized to reveal biological mechanisms, diagnose and treat diseases. This course will cover the fundamental principle of optical instruments and their applications in biology and medicine. Topics of the course include modern optical devices, optical system design, tissue optical properties, light-tissue interactions, and applications of optical instruments in biomedicine. This course is interdisciplinary and is suitable for graduate and advanced undergraduate students. There is a strong research component to the course expecting the students to produce a written report at the end and present their results to the class. This course is also designed to bring together students with various backgrounds in physics, math and programming. Prerequisite: PHYS 252 and EE 314. S.

BME 450. Biomedical Instrumentation (Medical IoT Innovation I). 3 Credits.

The goal of this course is to introduce students to engineering principles of biomedical devices. The particular emphasis is on electrical devices but an introduction to biomedical imaging modalities, biomechanics and biomaterials is also provided. The course focuses on both theoretical and practical aspects of biomedical instruments. The course includes a special emphasis on campus laboratory activities. There is also a strong research component to the course expecting the students to produce a written report at the end and present their results to the class. A student with a strong background in physics, math and also programming will be able to benefit from this course. Familiarity with electrical circuits is an asset. Prerequisite: EE 314 and EE 321. S.

BME 460. Computational Biology. 3 Credits.

Students will be introduced to the fundamentals of molecular biology and recent advance in genomics technology. The students will be shown how to use basic computational approaches in the field. This course also aims to provide students with a practical and hands-on experience with common bioinformatics tools and databases. Students will be trained in the basic theory and application of programs used for database searching, genomic/protein sequence analysis, and prediction of genomic/protein functions. Students will also discuss the social impact of this emerging technology and overwhelming information. Hence, bioinformatics can be considered as a field of data science for solving problems in biology and human health. This course is geared toward biologists who routinely work with data and need to analyze it in a novel way, above and beyond statistical analysis, using the "machine learning" paradigm. This course teaches students how to identify variables (that explain outcomes) in an experiment and use techniques to filter, manipulate and act upon the data. Prerequisite: EE 304 and BIMD 221. F.