2023년도 2학기 데이터마이닝 (CSED526-01) 강의계획서

1. 수업정보

학수번호 CSED526 분반 01 학점 3.00
이수구분 전공선택 강좌유형 강의실 강좌 선수과목
포스테키안 핵심역량
강의시간 월, 수 / 14:00 ~ 15:15 / 제2공학관 강의실 [102호] 성적취득 구분 G

2. 강의교수 정보

김원화 이름 김원화 학과(전공) 인공지능대학원
이메일 주소 wonhwa@postech.ac.kr Homepage http://mip.postech.ac.kr
연구실 RIST 4동 4412호 전화 054-279-2252
Office Hours Mon 3:15~4:00pm

3. 강의목표

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. 강의선수/수강필수사항

Calculus, Linear Algebra, (Some) Probability Theory

5. 성적평가

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

- The grading criteria above is subject to change.

6. 강의교재

도서명 저자명 출판사 출판년도 ISBN
Introduction to Data Mining Vipin Kumar Pearson 2005 978-0133128901

7. 참고문헌 및 자료

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

8. 강의진도계획

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. 수업운영

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

10. 학습법 소개 및 기타사항

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

11. 장애학생에 대한 학습지원 사항

- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등

- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등

- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청