Sample Courses

BME350 – Biomedical Systems Engineering I: Organ Systems

An introduction to human anatomy and physiology with selected focus on the nervous, cardiovascular, respiratory, renal, and endocrine systems. The structures and mechanisms responsible for proper function of these complex systems will be examined in the healthy and diseased human body. The integration of different organ systems will be stressed, with a specific focus on the structure-function relationship. Application of biomedical engineering technologies in maintaining homeostasis will also be discussed.

BME395 – Biomedical Systems Engineering II: Cells and Tissues

This course focuses on the molecular biology of cells, building on BME205, and their integration into tissues and organs. It covers integrating cells into tissues; molecular genetic techniques; signalling at the cell surface and signalling pathways that control gene activity; integration of signals and gene controls, the eukaryotic cell cycle, cell birth, lineage and death; inflammation, wound healing and immunology. The course will be centered around the problems of tissue engineering and of other medical devices or therapeutic options. There will be considerable emphasis on learning to read the research literature.

MSE442 – Surgical and Dental Implant Design

Case studies will be used to illustrate approaches for selection of biomaterials for fabrication of implants for specific applications in medicine and dentistry. Computational modeling for optimizing device design and the necessary post-design validation procedures for ensuring acceptable device performance will be discussed. Methods of manufacture to produce devices of desired form and with required in vivo characteristics will be reviewed. Design and fabrication of devices designed to be either biodegradable or non-biodegradable will be reviewed. The intent of the course is to illustrate the important considerations in material selection and fabrication methods used for producing implants.

ECE445 – Neural BioelectricityDigital Signal Processing

Generation, transmission and the significance of bioelectricity in neural networks of the brain. Topics covered include: (i) Basic features of neural systems. (ii) Ionic transport mechanisms in cellular membranes. (iii) Propagation of electricity in neural cables. (iv) Extracellular electric fields. (v) Neural networks, neuroplasticity and biological clocks. (vi) Learning and memory in artificial neural networks. Laboratory experiences include: (a) Biological measurements of body surface potentials (EEG and EMG). (b) Experiments on computer models of generation and propagation of neuronal electrical activities. (c) Investigation of learning in artificial neural networks.

BME595 – Medical Imaging

This is a first course in medical imaging. It is designed as a final year course for engineers. It has a physical and mathematical approach emphasizing engineering concepts and design. It describes magnetic resonance and ultrasound and X ray imaging in detail. These topics allow engineers to apply principles learned in the first two years in: computer fundamentals, dynamics, calculus, basic EM theory, algebra and differential equations, signals systems. It is a depth course complementing the kernels: communication systems (modulation), fields and waves (wave propagation) and on probability and random processes (Poisson and Gaussian noise). It will introduce students to the concept of measurement as an “inverse problem”. The laboratory will involve hands on NMR and Ultrasound measurements as well as image analysis of MRI data.