Read the information on this website frequently for important announcements.
You may address any questions regarding this lecture to the tutor.
The lecture will present advanced topics in supervised and unsupervised leaning, such as kernels, neural networks, clustering.
The theoretical models will be illustrated with interesting applications, out of which many are challenging problems in Bioinformatics.
Exam: The exam will take place on 14th November, starting 14:00. The room is rotunda, 5th floor, MPI building.
Lecturer: Thomas Lengauer
Tutor: Laura Tolosi
Course language: English
|Course:||Tuesdays 16:00-18:00 and Thursdays 9:00-11:00, MPI room 24 (Harald Ganziger Hall)|
|Tutorial:||Wednesdays 16:00-18:00, Room 023 or Thursdays 9:00-11:00, Room 024. See The schedule on the bottom of the page for details.|
|Office hours:||with appointment, send an email to the tutor at least a day before|
The lecture is targeted to students with solid background in Maths and Computer Science.
Prerequisites: Vordiplom in Mathematics or Computer Science or equivalent. Students should know linear algebra and have basic knowledge in statistics.
Hastie, Tibshirani, Friedman: The Elements of Statistical Learning, Springer 2001. Readers of the course are encouraged to acquire this book.
|Lecture 1||Thu April 19th||Neural Networks|
|Lecture 2||Thu April 26th||Kernel Methods|
|Lecture 3||Thu May 3rd||Support Vector Machines|
|Lecture 4||Tue May 8th||Prototype Methods and Nearest Neighbors|
|Lecture 5||Thu May 10th||Unsupervised Learning I|
|Lecture 6||Tue May 15th||Unsupervised Learning II|
|Lecture 7||Tue May 22th||Prediction of HIV Tropism|
|Lecture 8||Thu May 24th||Analysis of arrayCGH Data|
|Lecture 9||Tue June 5th||Analysis of Gene Expression Data|
|Lecture 10||Tue June 12th||Analysis of HIV Resistance|
|Lecture 11||Thu June 14th||Learning with Mixtures of Trees|
|Lecture 12||Tue June 19th||Statistical Analysis with Gene Ontology|
|Lecture 13||Thu June 21st||Covariate Bias|
|Tutorial||Date||Topic||HW Assigned||HW Due|
|Tutorial 1||Wed April 25th||Free discussion, R tips||none|
|Tutorial 2||Wed May 9th, Room 023, 16-18||Neural Networks||1||May 3rd|
|Tutorial 3||Wed May 23rd, Room 023, 16-18||Kernels and SVMs||2||May 17th|
|Tutorial 4||Thu May 31st, Room 024, 9-11||Nearest Neighbors and Prototype Methods||3||May 31st|
|Tutorial 5||Wed June 20th, Room 023, 16-18||4||June 14th|
|Tutorial 6||Wed June 27th, Room 023, 16-18||5||June 27th|