IX. Graduate Programs
Bioinformatics
Courses
Biological Sciences
Computer Science
Mathematics and Statistics
Note
Some courses may not be offered in every semester. Students planning to take a course from the above list should consult with the department offering the course to check for availability and scheduling.
Bioinformatics
| BINF*6110 Genomic Methods for Bioinformatics F [0.50] | |
|---|---|
| This course provides an introduction to current and emerging methods used to generate genomic data analyzed in bioinformatics. This may include techniques for DNA sequencing as well as transcriptome, proteome and metabolome analysis. The objective is to develop an appreciation for the challenges of producing data. | |
| Restriction(s): | Instructor's Consent |
| BINF*6210 Software Tools for Biological Data Analysis and Organization F [0.50] | |
|---|---|
| The objective of this course is to familiarize students with the tools for the computational acquisition and analysis of molecular biological data. Lectures will focus on key software for gene expression analyses, biological sequence analysis, and data acquisition and management. Laboratory exercises will guide students through application of tools relevant to topics discussed in lecture. | |
| Prerequisite(s): | Introductory molecular biology or genetics course, undergraduate statistics course |
| Restriction(s): | Instuctor's Consent |
| BINF*6410 Algorithms and Programming in Bioinformatics W [0.50] | |
|---|---|
| This course will teach students to develop and use programming tools for bioinformatics. The topics covered present a recourse for bioinformaticians who find that existing software does not satisfy their needs. | |
| Prerequisite(s): | BINF*6210 |
| BINF*6420 Biosequence Pattern Analysis W [0.50] | |
|---|---|
| This course is an overview course on different approaches to analyze biological sequences. Basic concepts are introduced, as well as related algorithms. | |
| Prerequisite(s): | BINF*6210 |
| BINF*6970 Statistical Bioinformatics W [0.50] | |
|---|---|
| This course presents a selection of advanced approaches for the statistical analysis of data that arise in bioinformatics, especially genomic data. A central theme to this course is the modelling of complex, often high-dimensional, data structures. | |
| Prerequisite(s): | Introductory courses in statistics, mathematics and programming |
| Restriction(s): | Instructor's Consent |
| BINF*6998 Bioinformatics Diploma Project F,W,S [0.50] | |
|---|---|
| A research paper is completed by students taking the Graduate Diploma in Bioinformatics program. | |
| Prerequisite(s): | BINF*6110, BINF*6210 |
| Restriction(s): | Instructor's Consent |
| BINF*6999 Bioinformatics Master's Project F,W,S [1.00] | |
|---|---|
| A major research paper is completed by students in the Master of Bioinformatics program. | |
| Prerequisite(s): | BINF*6110, BINF*6210 |
| Restriction(s): | Instructor's Consent |
Note
Some courses may not be offered every year. Students planning to take a course from the above list should consult with the Graduate Secretary for availability and scheduling.