Workshops/BCH2024 2017

BCH2024 - Biological Data Analysis with R

 

This is a new course module and all information on this page is tentative and likely to change. If you have questions please contact me.

boris.steipe@utoronto.ca

The Course

BCH2024 - Biological Data Analysis with R is a module in the Focussed Topics offerings of the Department of Biochemistry. It is an intensive, short-course with a focus on practical data analysis. We will meet on six sessions:

Thursday, January 12 2017 – Data

(reading, subsetting, filtering; designing data models)

Friday, January 13 2017 – Feature extraction

(descriptive statistics; dimension reduction; information theory)

Monday, January 16 2017 - Modeling

(linear and non-linear regression; Bayesian belief networks)

Thursday, January 19 2017 – Graphs and Networks

(graph representations; graph metrics)

Friday, January 20 2017 – Clustering and Classification

(hierarchical and partition clustering; cluster quality metrics)

Monday, January 23 2017 – Machine Learning

(common approaches; cross-validation)

 

General

This amount of material requires a very significant time comment. Do not take this course if you can't essentially devote the full two weeks to this material.

Coordinator

Boris Steipe

 

 

Dates & Times

Winter term 2017, M R F 17:00 to 19:00.

First class meeting: Thursday, January 12.

 

Location

TBD

 

Prerequisites

Suitable for students without prior programming experience, however you must be willing to put in the time to learn the R programming language within the course.

You must have access to the Internet via your own computer, preferably set up to work through a wireless connection. If at all possible, get a Linux or Mac OSX computer.

 

Grading and Activities

 

Activity	Weight
5 in-class quizzes	50 marks (5 x 10)
Mini-project	40 marks
Participation	10 marks
Total	100 marks

 

Notes