| No. | Week | Lecturer | Topic | Reading |
| 1 | 1 | Osborne | Introduction [1up] [4up] | - |
| 2 | 1 | Osborne | Vectors, vector operations [1up] [4up] | Anton ch. 1.1 |
| 3 | 1 | Osborne | Distances, norm, dot product [1up] [4up] | Anton ch. 1.2 |
| 4 | 2 | Osborne | Matlab overview [1up] [4up] | McMahon ch. 1 |
| 5 | 2 | Osborne | Matlab programming [1up] [4up] | McMahon ch. 4 |
| 6 | 2 | Osborne | Matlab vectors [1up] [4up] | McMahon ch. 2 |
| 7 | 3 | Keller | Models of learning [1up] [4up] | - |
| 8 | 3 | Keller | Models of semantic processing [1up] [4up] | - |
| 9 | 3 | Keller | Basic operations on matrices; matrix product [1up] [4up] | Anton ch. 3.1 |
| 10 | 4 | Keller | Algebraic properties of matrices; transpose; inner and outer product [1up] [4up] | Anton ch. 3.2 |
| 11 | 4 | Keller | Matlab matrices [1up] [4up] | McMahon ch. 2 |
| 12 | 4 | Keller | Inverses; matrices with special forms [1up] [4up] | Anton ch. 3.2, 3.6 |
| 13 | 5 | Keller | Determinants and eigenvectors [1up] [4up] | Anton ch. 4.1, 4.4 |
| 14 | 5 | Keller | Matlab inverses, eigenvectors, plotting and graphics [1up] [4up] | McMahon ch. 3 |
| 15 | 5 | Keller | Convolutions and kernels [1up] [4up] | - |
| 16 | 6 | Keller | Models of object recognition [1up] [4up] | - |
| 17 | 6 | Keller | Introduction to probability theory, combinatorial methods [1up] [4up] | Freund ch. 1.1-1.3 |
| 18 | 6 | Keller | Sample spaces, events, probabilities [1up] [4up] | Freund ch. 2.1-2.4 |
| 19 | 7 | Keller | Conditional probability, Bayes' theorem; models of reasoning [1up] [4up] | Freund ch. 2.5-2.8 |
| 20 | 7 | Keller | Discrete and continuous random variables; distributions and densities [1up] [4up] | Freund ch. 3.1-3.4 |
| 21 | 7 | Osborne | Special distributions and densities [1up] [4up] Expecation and varance [1up] [4up] | Freund ch. 4.1, 4.2, 5.1, 5.2, 5.4, 6.1-6.3, 6.5 |
| 22 | 8 | Keller | Models of eyetracking data [1up] [4up] | - |
| 23 | 8 | Feng | To be confirmed. | - |
| -- | 8 | - | No lecture | - |
| 24 | 9 | Osborne | Joint, marginal, and conditional distributions [1up] [4up] | Freund ch. 3.5-3.7 |
| 25 | 9 | Osborne | Probabilistic language models [1up] [4up] | - |
| 26 | 9 | Osborne | Entropy, Kullback-Leibler divergence [1up] [4up] | Cover ch. 2.1-2.4 |
| 27 | 10 | Osborne | Codes [1up] [4up] | Cover ch. 5.1-5.4 |
| 28 | 10 | Osborne | Minimum description length [1up] [4up] | Cover ch. 7.1-7.4 |
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