2. 강의교수 정보
|
이름 |
김형관 |
학과(전공) |
수학과 |
| 이메일 주소 |
hkwan@postech.ac.kr
|
Homepage |
|
| 연구실 |
수리과학관 103-B호 |
전화 |
054-279-5814 |
| Office Hours |
Friday, 11am (Please make a reservation in advance.)
|
3. 강의목표
This course covers basic probability theory and statistics, mainly estimation, hypothesis testing, and regression.
4. 강의선수/수강필수사항
Calculus I & II
5. 성적평가
Homework (0%), Quiz (30%), Midterm (35%), Final (35%)
More than 7 absences will result in an automatic F grade.
6. 강의교재
| 도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
|
"Probability & Statistics for Engineers & Scientists", 9th edition (*Global Edition*)
|
Walpole, Myers, Myers, and Ye
|
Pearson Prentice Hall.
|
2016
|
1292161361
|
8. 강의진도계획
Week 1: Probability (Ch 2.1 - 2.7)
Week 2: Random variables and probability distributions (Ch 3.1 – 3.4)
Week 3: Chuseok holiday (No class)
Week 4: Random variables and probability distributions (Ch 3.3 – 3.4) / Mathematical expectation (Ch 4.1 - 4.3)
Week 5: Mathematical expectation (Ch 4.1 - 4.3), Chebyshev's theorem (Ch 4.4)
Week 6: Discrete probability distributions (Ch 5.1 - 5.5) / Hangul holiday (No class)
Week 7: Continuous probability distributions (Ch 6.1 – 6.6)
Week 8: Midterm exam: October 23, Wednesday, 2-5pm (Tentative)
Week 9: Continuous probability distributions (Ch 6.7 – 6.9) / Moments and Moment-Generating Functions (Ch 7.3)
Wekk 10: Sampling distributions (Ch 8.1 – 8.7)
Week 11 : One- and two-sample estimation (Ch 9.1 – 9.10)
Week 12 : One- and two-sample estimation (Ch 9.11 – 9.14) / One- and two-sample tests (Ch 10.1 – 10.3)
Week 13: One- and two-sample tests (Ch 10.4 – 10.13)
Week 14: Simple linear regression (Ch 11.1 – 11.6)
Week 15: Simple linear regression (Ch 11.7 – 11.8) / Applications of probability and of statistics
Week 16: Final exam: December 18, Wednesday, 2-5pm (Tentative)
10. 학습법 소개 및 기타사항
Some homework problems require using a programming language. You can use any programming language you want (Python, Excel, Matlab, Mathematica, R, etc.)
The problems requiring a programming language will be very simple, so you are not expected to learn advanced coding skills.
If you need help with coding, TA can help you with Python.
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