Instructor: Dr Di Cook
325 Snedecor Hall
MWF 2:10-3:00 Room TBA
Office hours: TBA
Most material is on Web CT
W.N. Venables and B.D. Ripley (2003) "Modern Applied Statistics with S (4th ed)" Springer
Chatfield, C. (1995) "Problem Solving: A Statistician's Guide" Chapman and Hall/CRC
Recommended Reading: Bishop, C. (2006) "Pattern Recognition and Machine Learning" Springer
Hastie, T., Tibshirani, R., and Friedman, J. (2001) "The Elements of Statistical Learning", Springer
Brian Ripley, "Pattern Recognition and Neural Networks"
Prerequisites: Statistics 401, 447 or 341, or permission of the
Description: Approaches to finding the unexpected in data: data mining, pattern recognition and gaining understanding. Emphasis is on data-centered, non-inferential statistics, for large or high-dimensional data, and topical problems. Simple graphical methods, as well as classical and computer-intensive methods applied in an exploratory manner, and presentation graphics.
Objectives: Information in our age is exploding in amount and complexity. New disciplines, such as data mining, are emerging to address the needs in this area. This course is designed to provide students with the essentials for approaching new, complex data, and arriving at preliminary descriptive statements.
Approach: This will be a data-centered course, with segments of the semester focusing on particular data sets, each getting more complex as the semester progresses.
|Jan 8, 10, 12||Introduction to R.||Intro to R||Data||.||.||.|
|Jan 17, 19||What is data mining?||Outline , Background||.||.||Hwk 1||Code|
|end of Jan||Case study 1: Tipping Data||Notes||Data||Assignment 1, Womens tennis statistics, Mens tennis statistics||.||Code|
|Feb||Case study 2: Olive Oils Data||Notes||Data||.||Hwk 2 , Hwk 3 Music data||Code|
|Mar||Case study 3: Clustering music clips||Notes||Data||.||.||Code||Classification of music clips||.||Notes||Data||.||.||.|
|Apr||Case study 4: Hurricanes||Notes||Data||.||.||Code|
|Mar 12 Exam 1 | 2005 Exam 1, Solution, Guide||Apr 30 Exam 2 | 2005 Exam 2, Solution, Guide||Apr 11 Project due||Apr 23, 25, 27 project presentations||.||.||.|
Copyright for the material on this page belongs to the course instructor.