MCB111: Mathematics in Biology (Spring 2018)
- week 01: Mon/Wed 22/24 Jan
- Introduction to Information Theory
- [Lecture notes]
- week 02: Mon/Wed 29/31 Jan
- Probability and Inference
- [Lecture notes]
- week 03: Mon/Wed 05/05 Feb
- Model comparison - Hypothesis testing
- [Lecture notes]
- week 04: Mon/Wed 12/14 Feb
- Significance: The Student’s t-test and p-values
- [Lecture notes]
- week 05: Wed 21 Feb
- Maximum likelihood and least-squares
- [Lecture notes]
- week 06: Mon/Wed 26/28 Feb
- Probabilistic models and Inference
- [Lecture notes]
- week 07: Mon/Wed 05/07 Mar
- Probabilistic Models and Expectation Maximization
- [Lecture notes]
- week 08: Mon/Wed 19/21 Mar
- Neural Networks - Learning as inference
- [Lecture notes]
- week 09: Mon/Wed 26/28 Mar
- Random Walks in Biology
- [Lecture notes]
- week 10: Mon/Wed 02/04 Apr
- Molecular Population Dynamics as a Markov Process
- [Lecture notes]
- week 11: Mon/Wed 09/11 Apr
- Negative Feedback Control
- [Lecture notes]
- week 12: Mon/Wed 16/18 Apr
- Gene switches
- [Lecture notes]
- week 13: Mon/Wed 23/25 Apr
- Pattern formation and Turing Instability
- [Lecture notes]