3. 강의목표
확률의 기본개념과 확률분포에 대해 학습하고 이를 통계적 추론에 응용한다.
확률과 통계적 추론을 이용한 실제 연구 예시를 탐구한다.
4. 강의선수/수강필수사항
Calculus 1 and 2.
5. 성적평가
- Homework (25%), Midterm (30%), Final (40%) + Attendance (5%)
- There will be a total of 10-12 homework assignments during this semester.
- Homework will be assigned on Monday, and it is supposed to be submitted within 7 days (11:55 pm on the following Monday).
- The first homework will be assigned on 13th September.
- No late homework will be accepted!
- No make-up exams!
6. 강의교재
도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
"Probability & Statistics for Engineers & Scientists", 9th ed.
|
Walpole, Myers, Myers, and Ye
|
Pearson Prentice Hall.
|
2012
|
|
7. 참고문헌 및 자료
Probability and Statistics with Examples using R by Siva Athreya, Deepayan Sarkar, and Steve Tanner. Here is the website that you can download the book: https://www.isibang.ac.in/~athreya/psweur/
8. 강의진도계획
Week 1: Introduction, Probability (Ch 1.1 – 1.9, 2.1 – 2.8)
Week 2: Random variables (Ch 3.1 – 3.3)
Week 3: 추석 (Chuseok)
Week 4: Joint Prob Dist (Chap 3.4), Mathematical expectation (Ch 4.1 – 4.5)
Week 5: Discrete probability distributions (Ch 5.1 – 5.3)
Week 6: Discrete probability distributions (Ch 5.4 – 5.7)
Week 7: Continuous probability distributions (Ch 6.1 – 6.5)
Week 8: Midterm (10/25 Monday 20:00~23:00), Continuous probability distributions (Ch 6.6 – 6.11)
Week 9: Functions of random variables (Ch 7.1 – 7.3, 8.1 – 8.2)
Week 10: Sampling distributions (Ch 8.1 – 8.5)
Week 11 (11/15. 11/17): Sampling distributions, One and two sample estimation (Ch 8.6--8.7, Ch 9.1 – 9.5)
Week 12 (11/22. 11/24): One and two sample estimation (Ch 9.1 – 9.6)
Week 13 (11/29, 12/1): One and two sample tests (Ch 9.6--9.15, 10.1 – 10.4)
Week 14: One and two sample tests (Ch 10.4 – 10.17)
Week 15: Simple linear regression (Ch 11.1 – 11.13)
Week 16: Final (12/20 Monday 20:00~23:00)
9. 수업운영
Live online lecture
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