This page provides access to information about current course offerings in biomedical engineering. Both graduate and undergraduate courses can be found here.
Biomedical engineering course catalog Heading link
The course catalog page contains up-to-date course codes and descriptions for classes in both biomedical engineering and bioinformatics. Starting Fall 2021, it will include a mix of BIOE and BME courses while we transition to the biomedical engineering department. BIOE course catalog >>
Biomedical engineering course guides and resources Heading link
- Fall 2022 course schedule: Department-only summary of courses for fall 2022
- Summer 2022 course schedule: Department-only summary of courses for summer 2022
- Spring 2022 course schedule: Department-only summary of courses for spring 2022
- Teaching assignments: fall 2021: Faculty and TA listing for each course
- UIC schedule of classes (Banner link): Complete listing of UIC course schedules
Special Topics courses Heading link
BME 494 Human Movement and Neural Control
This is a lecture course providing an overview of the broad field of human movement biomechanics and neural control. This develops engineering skillsets for rigid body kinematics and dynamics, solves quantitative problems associated with the study of human movement, and a literature overview. This includes computer modeling of how the central nervous systems controls musculoskeletal movement, including muscle mechanics, gross body dynamics, control theory, and motor learning.
Prerequisites: BIOS 110, MATH 180, CS 109 (or equivalent)
BME 494 MRI in Practice
Magnetic Resonance Imaging (MRI) is one of the most widely used imaging modalities in hospitals and clinics for medical diagnosis due to its non-invasive, non-ionizing, and multi-planar capability to visualize human body. This course offers in-depth discussions covering all core areas, including: basic principles, image weighting and contrast, spin and gradient echo pulse sequences, spatial encoding, k-space, protocol optimization, artefacts, instrumentation, and MRI safety. We will use the leading MRI reference book MRI in practice as our textbook. This course will prepare students, in the future, for advanced researches on MR imaging and for MRI related occupation, for example, the advanced level examination for MRI offered by the American Registry for Radiologic Technologists (ARRT) in the USA.
BME 494 Biomedical Computer Vision
This course will teach introductory computer vision with a focus on biomedical applications. The course will go through image processing methods, feature extraction, machine learning, and introductory deep learning for computer vision (i.e. convolutional neural networks for classification). The class will focus on 3 to 4 problem sets that will be a mix of theory questions and programming assignments, all of which will be in Python. A major portion of the class grade will also be a group project, where students will work in groups of 3 to 4 and apply the learned methods to a novel research problem on real-world data.