[Previous Course Code(s) LIFS 6000C] Students are expected (i) to know calculus and basic probability and (ii) to have some experience of programming (in any language). Requirement (ii) can be satisfied by self-learning an R tutorial before the course.
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.
This course will cover the biogenesis and function of non-coding RNAs, drawn from molecular, biochemical and cell biological studies. Dysfunction of non-coding RNA in disease and the application of non-coding RNA as research tools will be discussed.
[Co-List with BIEN 5001]
This course will present some of the most common ethical issues encountered in biomedical research and biotechnology. Students will engage in active discussion to provide deeper understanding of each issue. The objective of this course is to raise awareness of the ethical issues around biomedical/bioengineering research, and encourage critical and responsible consideration of research conduct. Topics covered will fall into three categories: 1) Research integrity, 2) Applied ethics in biological research and biotechnology, and 3) Contemporary ethical issues arisen from emerging biotechnologies. Graded P or F.
Credit(s): 3
Lecture: 3 hours per week
Tutorial, Seminar or Recitation: 0 hours per week
Laboratory or Field Study: 0 hours per week
Exclusion(s):
BIEN 5001
Prerequisite(s):
Some knowledge of general biology concepts, equivalent to introductory biology at the undergraduate level
[Previous Course Code(s): BISC 526]
Advanced topics on the biochemical basis of human diseases, molecular medicine and structure based drug design; an oral presentation and a written essay on a specific topic are required.
This course includes selected topics of current interest in Life Science which are not covered by existing courses. Credit to be determined on case by case basis based on workload. May be repeated for credit, if different topics are covered. Enrollment may require approval of the course instructor.
Spring 2020
LIFS6000C Biostatistics: theory and application in life science research (3 credits)
Course description
Statistical analysis has become an essential component in life science research for analyzing experimental data, experimental design, and exploratory analysis. This course is tailored to an audience of graduate students and researchers working in biological sciences and more broadly disciplines working with experimental or simulated data. We will introduce some widely used methodologies in contemporary research, such as hypothesis testing, nonparametric approaches, cross-validation and bootstrapping. To ensure the correct use of these statistical tools and to be able to generalize to new scenarios, we will also discuss some of the fundamental theories behind these methods. The students will gain practical experience from homework problems including programing and use of packages.
[Previous Course Code(s): LIFS 6110, BICH 601, BIOL 611]
Advanced seminar series presented by postgraduate students on their research topics in biological sciences offered in Fall/Spring Terms. This course may be repeated for credit. Graded PP, P or F.
This course will expose postgraduate students to selected current topics in Development and Systems Biology. This course may be repeated for credits. Graded P or F.
This course will expose postgraduate students to selected current topics in Development and Systems Biology. This course may be repeated for credits. Graded P or F.
This course will expose postgraduate students to selected current topics in Development and Systems Biology. This course may be repeated for credits. Graded P or F.
