CIS 4930.007/6930.002: Data Mining in Bioinformatics
Objectives: This course will introduce basic machine learning and data mining techniques and their applications in many fields, including signal processing, computer vision, and especially in bioinformatics. The major topics include linear and non-linear models in supervised learning, unsupervised learning, structured learning, ensemble learning, and feature selection.
Recommended readings: Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman (ISBN 0387952845)
Data Mining (Second Edition) by Ian Witten and Eibe Frank (ISBN 0120884070)
Check Blackboard for updates!!
· Course flyer [flyer] is posted on Oct. 22nd, 2010.
· Course syllabus [syllabus] is posted on Oct. 28th, 2010.
· First week classes (01/03/2011): I have posted an announcement on Blackboard about the classes for the first week. I am sorry that I have to be out of town for a conference for the first week. Prof. Yu Sun has kindly offered to cover the first class on 01/11. The class on 01/13 will be cancelled. Please send your emails to either me or Meng Lu if you have any questions.
· Handout #3 –[Slides from Lecture 1] has been posted as well as on Blackboard on Jan. 19th, 2011.
Check Blackboard for updates
· Homework #1, Check Blackboard for updates