Week |
Subject |
Related Preparation |
1) |
Introduction into statistical learning |
|
2) |
Introduction into supervised learning |
|
3) |
Linear methods of regression and Applications in Matlab |
|
4) |
Linear Regression |
|
5) |
Linear Methods of Classification |
|
6) |
Linear methods in classification, and Model assessment and selection
|
|
7) |
Model assessment and selection
|
|
8) |
Model inference and averaging
|
|
9) |
Model infer. & aver., and Additive models and trees |
|
10) |
Additive models and trees |
|
11) |
Prototype methods and nearest neighbours
|
|
12) |
Prot. Meth. & n. neighb., and Cluster algor. & support vector machines |
|
13) |
Unsupervised Learning and term projects |
|
14) |
Presentations of Term Projects |
|
Course Notes / Textbooks: |
D.T. Hastie, R. Tibshirani and J. Friedman, “The Elemenents of Statistical Learning”, Springer Series in Statistics, 2001 |
References: |
N. Christianini and J. Shawe-Taylor, “An Introduction to Support Vector
Machines”, Cambridge University Press, 2000.
E. Alpaydin, Introduction to Machine Learning, 2e, The MIT Press, February 2010,
ISBN-10: 0-262-01243-X ISBN-13: 978-0-262-01243-0
E. Alpaydin, Yapay Öğrenme, Boğaziçi Üniversitesi Yayınevi, April 2011, ISBN: 978-6-054-23849-1 |
|
Program Outcomes |
Level of Contribution |
1) |
Ability to assimilate mathematic related concepts and associate these concepts with each other. |
|
2) |
Ability to gain qualifications based on basic mathematical skills, problem solving, reasoning, association and generalization. |
|
3) |
Be able to organize events, for the development of critical and creative thinking and problem solving skills, by using appropriate methods and techniques. |
|
4) |
Ability to make individual and team work on issues related to working and social life. |
|
5) |
Ability to transfer ideas and suggestions, related to topics about his/her field of interest, written and verball. |
|
6) |
Ability to use mathematical knowledge in technology. |
|
7) |
To apply mathematical principles to real world problems. |
|
8) |
Ability to use the approaches and knowledge of other disciplines in Mathematics. |
|
9) |
Be able to set up and develope a solution method for a problem in mathematics independently, be able to solve and evaluate the results and to apply them if necessary. |
|
10) |
To apply mathematical principles to real world problems. |
|
11) |
To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. |
|
12) |
To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself. |
|