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1 - 6 of 6 search results for `1 3 Neuroscience` |u:www.maths.cam.ac.uk

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  2. MPhil in Computational Biology Lecture List

    https://www.maths.cam.ac.uk/undergrad/files/lecturelist/2017-18/mphilcompbio.pdf
    16 Sep 2019: HILFINGER (TBC). Genome Informatics DR G. MICKLEM TU. 1-2 MR15, 2-4 MR16. ... Computational Neuroscience DR S. EGLEN TU. 1-3 MR15. Genome Sequence Analysis (half module) DR.

  3. MPhil in Computational Biology Lecture List

    https://www.maths.cam.ac.uk/undergrad/files/lecturelist/2016-17/mphilcompbio.pdf
    16 Sep 2019: Computational Neuroscience. DR S. EGLEN. TU. 1-3 MR15. Genome Sequence Analysis (half module). ... DR. A. SCALLY. W. 12-1, MR15. Population Genetic Analyses of Genomic Data.

  4. Last update 19 Aug. 19 M.PHIL. IN COMPUTATIONAL BIOLOGY ...

    https://www.maths.cam.ac.uk/undergrad/files/lecturelist/2018-19/mphilcompbio.pdf
    16 Sep 2019: EGLEN. M. 11-1 MR15. TH. 12-1, MR15, 1-2 MR16. Computational Neuroscience. ... DR S. EGLEN. TU. 1-3 MR15. Genome Sequence Analysis (half module).

  5. Last update 15 Oct. 14 M.PHIL. IN COMPUTATIONAL BIOLOGY ...

    https://www.maths.cam.ac.uk/undergrad/files/lecturelist/2014-15/mphilcompbio.pdf
    16 Sep 2019: 12-1 MR15 (commencing F. 10th October). Computational Neuroscience DR. S. EGLEN TH. ... 10-11 MR15. W. 11-12 MR15, F. 11-12. MR15. Computational Neuroscience. Scientific Programming.

  6. MPhil in Computational Biology Lecture List

    https://www.maths.cam.ac.uk/undergrad/files/lecturelist/2015-16/mphilcompbio.pdf
    16 Sep 2019: Computational Neuroscience DR. S. EGLEN & DR. R. PYMA TU. 1-3 MR15. ... Computational Neuroscience. Structural Biology. M. 2-5, MR15 (1st, 15th, 29th Feb in MR16).

  7. MATHEMATICAL TRIPOS Part III Tuesday 13 June, 2006 1.30 ...

    https://www.maths.cam.ac.uk/postgrad/part-iii/files/pastpapers/2006/Paper84.pdf
    30 Aug 2019: PAPER 84. COMPUTATIONAL NEUROSCIENCE. Attempt FOUR questions. There are FIVE questions in total. ... What happens when |Γ|1/3 =1/ cos(π/3)? Paper 84. 3. 2 The back propagation algorithm can be used to learn the association between inputszi and desired

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