Previous course code: LIFS 4580
An introduction to bioinformatic analysis in life science. Students will learn about the principles and approaches used in working with genetic, genomic and proteomic data. Applications to basic science and translational research will also be introduced. No experience in computer programing is required.
Chromosome biology and epigenetics is an important field highly relevant to human health. This course will cover recent advances in the fields of epigenetics and chromosome biology.
Determination of protein sequences and three-dimensional structures; relationship between structure and function; principles of protein design and engineering; molecular, biochemical and genetic approaches to study protein function and regulation.
[LIFS 4190 is offered every other year.]
Recent advances in the study of the molecular mechanisms of cell function, with an emphasis on the structure and function of signaling components that control cell growth, differentiation, and integrated responses in eukaryotic cells.
Fundamentals in the epidemiology, etiology and treatment of cancers; basic mechanisms of carcinogenesis. For LIFS/BIBU students in their fourth year of study.
Cellular, biochemical and genetic basis of immunity; cells in immune response, antigens and antigen recognition; antibodies and the generation of diversity; major histocompatibility complex; cell mediated immune response; regulation of immune response; autoimmunity, tissue transplantation and rejection.
The aim of the course is for students to acquire hands-on laboratory experience in conducting a short research project and producing a formal written report. Each student will conduct the bench work for the proposal developed in the prerequisite course LIFS 3510 and hence under the same faculty supervisor as LIFS 3510. Due to the short duration, emphasis is on appreciation of the research process rather than results obtained. Approval of a faculty supervisor is required for students to enroll in the course. Graded P or F.
[Previous course code: LIFS 3002A]
This course will impart essential skills for communicating science to a lay audience in the laboratory setting. Students will work in groups to devise a mini‐laboratory course for detecting human genetic variants. They will then serve as instructors of the course in outreach workshops for high school students. Approval of the course instructor is needed for students to enroll in this course. For LIFS students only.
[Co-listed: BIEN 3320]
This is a course for the application of data science in biology and medicine. The course will introduce the fundamental principles on data science, the technologies and implementations of data mining, as well as the modeling of several practical questions in biomedicine. The topics include introduction to biomedical data, data visualization, regression methods and classification methods.
Credit(s): 3
Prerequisite(s):
(COMP 1021 OR COMP 1022P OR COMP 1022Q (prior to 2020-21) OR COMP 2011) AND (ISOM 2500 OR LIFS 3150 OR MATH 2411) AND (LIFS 3140)
Principles of neuroscience with a focus on the systems/neural circuit level. Topics covered will include sensory and motor systems, genetic model organisms, optogenetics, and functional imaging.
