Computer Science


Lectures: COMPSCI 369 Semester 1, 2017, City Campus


We have lectures at 10am Tuesday, 10am Thursday and 9am Friday all in 106-204 (BLT204, Old Biology Building)

LectureDateTopicLecturerNotes and slides
Full notes for course (2017 edition) DW Complete notes
1 Mar 7 Introduction, condition number DW Notes, stream and audio
- Recording Review of linear algebra DW Notes, recorded lecture (youtube)
2 Mar 9 Root finding DW Slides, Notes, audio and stream
3 Mar 10 Newtons method and linear alg review DW Notes, stream and audio
4 Mar 14 Systems of linear equations DW Notes, stream and audio
5 Recording Eigenvalue review and LU decomposition DW Notes, eigenvalues video, LU decomp video
6 Mar 17 Singular value decomposition DW Notes, SVD example, stream and audio
7 Mar 21 More on SVD, condition numbers DW Example, Notes and audio
8 Mar 23 PCA DW Notes, Simple PCA example, Population structure, audio, stream.
9 Mar 24 PCA and SVD. Least squares DW Notes, Eigenfaces, Least sq examples , stream and audio
10 Mar 28 QR and Pseudo-inverse DW Notes, audio, and stream
11 Mar 30 Probability and random variables DW Notes, slides, audio, and stream.
12 Mar 31 Common distributions DW Notes, slides, audio, and stream.
13 Apr 4 Inference DW Notes, slides, audio and stream.
14 Apr 6 Simulation DW Notes, slides, stream and audio
15 Apr 7 Stochastic processes including Poisson and Markov processes DW Notes, slides, stream and audio
16 Apr 11 Intro to genetics DW Notes, slides, stream and audio
17 Apr 13 Homology and scoring alignments DW Slides, notes, stream and audio
18 May 2 Mid-term test
19 May 4 Global, local alignment algorithms DW slides 1, slides 2, notes, stream and audio
20 May 5 Local alignment, Affine gaps, linear space and MSA DW Notes, slides, stream, and audio
21 May 9 Multiple sequence alignment and UPGMA DW Notes, slides, Feng Doolittle visualisation, stream and audio.
22 May 11 Hidden Markov models and Viterbi algorithm DW Notes, slides, stream, audio.
23 May 12 Viterbi and Forward algorithms DW Notes, slides, stream and audio
24 May 16 Backward algorithm and estimating parameters DW Notes, slides, stream and audio
25 May 18 Baum-Welch, sampling state paths, model structure DW Notes, slides, stream and audio.
26 May 19 HMM applications: alignment, Profile HMMs, gene finding. Tree building. DW Slides 1 and Slides 2, notes, stream, audio
27 May 23 Neighbour joining DW Notes, slides, stream and audio
28 May 25 Parsimony DW Notes, slides, stream and audio
29 May 26 More parsimony and likelihood on trees DW Notes, slides, stream and audio
30 May 30 Tree likelihood and Markov processes DW Notes, slides, stream and audio
31 June 1 Substitution models and Maximum Likelihood DW Notes, slides, stream and audio.
32 June 2 Creating Artificial Systems to Study Natural Systems ME Slides, stream and audio
33 June 6 Evolutionary Algorithms I ME Slides, notes, stream and audio
34 June 8 Evolutionary Algorithms II ME Slides, notes, optional exercise, stream and audio.
35 June 9 Review DW 2016 exam. Sorry, a technical failure means there is no recording.

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