2. Instructor Information
3. Course Objectives
This course introduces major data science methodologies, 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)
* Supplementary lecture videos for basic linear algebra are available in the Teaching section at https://sds.postech.ac.kr.
5. Grading
| Midterm Exam |
Final Exam |
Attendance |
Assignment |
Project |
Presentation/Discussion |
Laboratory/Practice |
Quiz |
Others |
Total |
| 20 |
20 |
10 |
20 |
30 |
|
|
|
|
100 |
| 비고 |
Assignments (20%), project (30%), exams (40%), class attitude and participation (10%)
|
6. Course Materials
| Title |
Author |
Publisher |
Publication
Year/Edition |
ISBN |
7. Course References
1. Hastie, T., Tibshirani, R. and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer
2. James, G., Witten, D., Hastie, T. and Tibshirani, R. (2013). An Introduction to Statistical Learning: with Application in R. Springer.
8. Course Plan
The course will cover the following topics:
- Elementary statistical decision theory
- Linear methods for regression and classification
- Basis expansion and kernel methods
- Tree-based methods
- Neural networks
- Fundamental unsupervised learning methods
- Introduction to generative models
10. How to Teach & Remark
References are freely available at
1. https://web.stanford.edu/~hastie/ElemStatLearn/
2. http://www-bcf.usc.edu/~gareth/ISL/
Also, old lecture videos (Statistical Data Mining) are available in the Teaching section at https://sds.postech.ac.kr.
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