2. Instructor Information
3. Course Objectives
This course will cover theories and applications of basic (statistical) data mining techniques including regression, classification and unsupervised learning.
4. Prerequisites & require
- Probability and Statistics for Engineers (IMEN 272) or Probability and Statistics (MATH 230)
- Applied Linear Algebra (MATH 203)
- R programming for data analytics (IMEN 491, online course): Highly recommended to take simultaneously!
* Important supplements for this class in linear algebra, probability and statistics.
http://sds.postech.ac.kr/statistical-data-mining-imen-472/
Students should study these supplements before joining first class to follow up class progress.
5. Grading
Assignments (50%) Final project (40%) Attitude (10%)
6. Course Materials
Title |
Author |
Publisher |
Publication Year/Edition |
ISBN |
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
|
Hastie, T., Tibshirani, R. and Friedman, J.
|
Springer
|
2009
|
|
7. Course References
1. James, G., Witten, D., Hastie, T. and Tibshirani, R. (2013). An Introduction to Statistical Learning: with Application in R. Springer.
2. 전치혁. (2012). 데이터마이닝 기법과 응용, 한나래아카데미
9. Course Operation
First class will be held through Zoom.
Every student who wants to participate in our class should install a zoom and create a free account before participating in the class. After that, enter the meeting ID and password below to participate in the class.
*zoom meeting ID : 772-041-1879
*password : 123456
For more information about installing a zoom and creating a free account, please refer to the 'Information Guide - for ZOOM students' post in Online Course Support(Q/A)
10. How to Teach & Remark
Textbooks are freely available at
1. https://web.stanford.edu/~hastie/ElemStatLearn/
2. http://www-bcf.usc.edu/~gareth/ISL/
11. Supports for Students with a Disability
- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.
- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.
- Please contact Center for Students with Disabilities (279-2434) for additional assistance