| Module Code |
Title |
Lecturer |
Author/Title |
Number of Students |
Year |
Term |
| GI01 |
Supervised Learning |
John Shawe-Taylor |
Text Book 1: The Elements of Statistical Learning: Data Mining, Inference and Prediction, Hastie.T., Tibshirani.R., and Friedman.J., Springer [2001] |
20 |
MSc |
1 |
| GI01 |
Supervised Learning |
John Shawe-Taylor |
Reference Book 1: Pattern Classification, Duda.R.O., Hart.P.E., and Stork.D.G., John Wiley and Sons (2001) |
20 |
MSc |
1 |
| GI01 |
Supervised Learning |
John Shawe-Taylor |
Reference Book 2: Pattern Recognition and Machine Learning, Bishop, Christopher M., Springer (2006) |
20 |
MSc |
1 |
| GI01 |
Supervised Learning |
John Shawe-Taylor |
Reference Book 3: An Introduction to Support Vector Machines, Shawe-Taylor J. and Cristianini N., Cambridge University Press (2000) |
20 |
MSc |
1 |
| GI01 |
Supervised Learning |
John Shawe-Taylor |
Reference Book 4: Kernel Methods for Pattern Analysis, Shawe-Taylor.J, and Cristianini N., Cambridge University Press (2004) |
20 |
MSc |
1 |
| GI06 |
Evolutionary Systems |
Mark Herbster |
An Introduction to Genetic Algorithms Melanie Mitchell. Mit Press. 1998. ISBN 0262631857 |
10 |
MSc |
2 |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
Mastering MATLAB 6: A Comprehensive Tutorial and Reference by Duane Hanselman and Bruce R. Littlefield, Prentice Hall, The Mathematica Book, Stephen Wolfram, Cambridge University Press, ISBN 0-521-64314-7. |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
The Definitive Guide to Project Management, Sebastian Nokes et al, Financial Times Prentice Hall, 2003 ISBN 0 273 66397 6 |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
The Mythical Man-Month, Fredrick P Brooks, Addison-Wesley, 1995 Anniversary edition, Addison -Wesley ISBN 0 201 83595 9 |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
Leading Change, John P. Kotter, Harvard business School Press, 1996 ISBN 0 87584 747 1 |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
Agile Software Development Ecosystems, Jim Highsmith, Addison-Wesley, 2002 ISBN 0 201 76043 6 |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI07 |
Mathematical Programming and Research Methods |
Mark Herbster (Part A) TBC (Part B) |
In addition during the course you will be provided with both printed copies and references for research articles. |
30 |
MSc |
1 (Programming Issues) and 2 [Experimental Design) |
| GI08 |
Graphical Models |
David Barber |
D.J.C. MacKay: Information Theory, Inference and Learning Algorithms. Cambridge University Press |
15 |
MSc |
1 |
| GI08 |
Graphical Models |
David Barber |
Christopher M. Bishop: Pattern Recognition and Machine Learning. Springer (2006) |
15 |
MSc |
1 |
| GI08 |
Graphical Models |
David Barber |
D. Barber: Machine Learning: a probabilistic approach (click on 'lecture notes', below) |
15 |
MSc |
1 |
| GI09 |
Intelligent Systems in Business |
David Barber |
To be notified as the course progresses, according to the business themes covered |
20-30 |
MSc |
2 |
| GI10 |
IS in Bioinformatics |
David Jones Kevin Bryson |
Biochemistry - Lubert Stryer, WH Freeman and Co. |
10-20 |
MSc |
2 |
| GI10 |
IS in Bioinformatics |
David Jones Kevin Bryson |
Post-genome Informatics, M. Kanehisa, Oxford University Press. |
10-20 |
MSc |
2 |
| GI10 |
IS in Bioinformatics |
David Jones Kevin Bryson |
Bioinformatics - Genes, Proteins and Computers, C.A. Orengo, D.T. Jones and J.M. Thornton, BIOS Scientific Publishers, 2003 |
10-20 |
MSc |
2 |
| GI10 |
IS in Bioinformatics |
David Jones Kevin Bryson |
Mathematical Biology, J.D. Murray, Springer, 1993. |
10-20 |
MSc |
2 |
| GI10 |
IS in Bioinformatics |
David Jones Kevin Bryson |
Other references (including research papers) to be confirmed. |
10-20 |
MSc |
2 |
| GI13 |
Advanced Topics in Machine Learning |
John Shawe-Taylor Massimiliano Pontil |
Brian Wandell, Foundations of Vision ( http://www.sinauer.com/detail.php?id=8532 ) |
20-30 |
MSc |
2 |
| GI13 |
Advanced Topics in Machine Learning |
John Shawe-Taylor Massimiliano Pontil |
C.M. Bishop: Pattern Recognition and Machine Learning. (Springer, 2006) |
20-30 |
MSc |
2 |
| GI13 |
Advanced Topics in Machine Learning |
John Shawe-Taylor Massimiliano Pontil |
Carl E. Rasmussen and C.K.I. Williams: Gaussian Processes for Machine Learning (MIT Press, 2006) |
20-30 |
MSc |
2 |
| GI13 |
Advanced Topics in Machine Learning |
John Shawe-Taylor Massimiliano Pontil |
You should thoroughly review the maths in the cribsheet provided at the link below before the start of the module. The Matrix Cookbook is also a very helpful resource. |
20-30 |
MSc |
2 |
| GI13 |
Advanced Topics in Machine Learning |
John Shawe-Taylor Massimiliano Pontil |
D.J.C. MacKay: Information Theory, Inference and Learning Algorithms. (Cambridge University Press, 2003) |
20-30 |
MSc |
2 |
| GI15 |
Information Retrieval |
Jun Wang |
Introduction to Information Retrieval, Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Cambridge University Press. 2008. |
15 |
MSc |
2 |
| GI15 |
Information Retrieval |
Jun Wang |
Modern Information Retrieval (MIR)(errata), Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Addison-Wesley, 2000. |
15 |
MSc |
2 |
| GI15 |
Information Retrieval |
Jun Wang |
Managing Gigabytes (2nd Ed.) Ian H. Witten, Alistair Moffat and Timothy C. Bell. (1999), Morgan Kaufmann, San Francisco, California. |
15 |
MSc |
2 |
| GI15 |
Information Retrieval |
Jun Wang |
Pattern Recognition and Machine Learning, Christopher M. Bishop, Springer (2006). |
15 |
MSc |
2 |
| GI16 |
Approximate Inference and Learning in Probabilistic Models |
Maneesh Sahani (Gatsby Computational Neuroscience Unit) YeeWhye Teh (Gatsby Computational Neuroscience Unit) |
There is no required textbook. However, the following in an excellent sources for many of the topics covered here. David J.C. MacKay (2003) Information Theory, Inference, and Learning Algorithms, Cambridge University Press. (also available online) |
5-10 |
MSc |
1 |
| GI17 |
Affective Computing and Human-Robot Interaction |
Nadia Berthouze |
TBC |
15 |
MSc |
2 |
| GI18 |
Probabilistic and Unsupervised Learning |
Maneesh Sahani (Gatsby Computational Neuroscience Unit) YeeWhye Teh (Gatsby Computational Neuroscience Unit) |
There is no required textbook. However, the following in an excellent sources for many of the topics covered here. David J.C. MacKay (2003) Information Theory, Inference, and Learning Algorithms, Cambridge University Press. (also available online) |
5-10 |
MSc |
1 |
| GI99 |
Individual Project |
Various academic staff supervisors. Co-ordinator = Mark Herbster |
Books, papers, manuals etc. relevant to the project. |
20-30 |
MSc |
2-3 and summer |
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