2023-2 Data Mining (CSED526-01) The course syllabus

1.Course Information

Course No. CSED526 Section 01 Credit 3.00
Category Major elective Course Type Classroom Course prerequisites
Postechian Core Competence
Hours MON, WED / 14:00 ~ 15:15 / Science BldgⅡ[102]Lecture Room Grading Scale G

2. Instructor Information

Kim Won Hwa Name Kim Won Hwa Department Grad. School of AI
Email address wonhwa@postech.ac.kr Homepage
Office 공학2동 321호 Office Phone
Office Hours Mon 3:15~4:00pm

3. Course Objectives

This is an introductory course on data mining. Data Mining refers to the process of automatic discovery of patterns and knowledge from large data repositories, including databases, data warehouses, Web, document collections, and data streams. We will study the basic topics of data mining, including data pre-processing, frequent pattern mining, correlation analysis, machine learning methods for classification, prediction and clustering.

4. Prerequisites & require

Calculus, Linear Algebra, (Some) Probability Theory

5. Grading

Assignments: 30%
Mid-term Exam: 25%
Final Project: 40%
Class Participation: 5%

- The grading criteria above is subject to change.

6. Course Materials

Title Author Publisher Publication
Introduction to Data Mining Vipin Kumar Pearson 2005 978-0133128901

7. Course References

This is a stand-alone course and lecture notes with lectures will cover everything.
The textbook is recommended but not required.

8. Course Plan

Week 1. Course overview
Week 2. Data Processing
Week 3. Review of Statistics
Week 4. Similarity Measures
Week 5. Supervised vs. Unsupervised Models
Week 6. Dimension Reduction (PCA)
Week 7. Instance-based Learning
Week 8. Decision Tree
Week 9. Mid-term Exam
Week 10. Evaluation of Classifiers
Week 11. Support Vector Machine (SVM)
Week 12. Artificial Neural Network (ANN)
Week 13. Artificial Neural Network (ANN)
Week 14. Discriminative vs. Generative Models
Week 15. Text Mining
Week 16. Final Project Presentation

- The course schedule above is subject to change.

9. Course Operation

Time: Mon/Wed 2:00pm~3:15pm.
Classroom: Engineering Building II #102

10. How to Teach & Remark

Hyuna Cho (hyunacho@postech.ac.kr)
Yubin Han (yubin@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