3. 강의목표
확률의 기본개념과 확률분포에 대해 학습하고 이를 통계적 추론에 응용한다.
Learn basic probability and statistics theorems and apply them to practical problems.
At the last two weeks, we will focus on applying probability theory and statistics to practical problems such as engineering-related problems, machine learning, data science, etc.
4. 강의선수/수강필수사항
Calculus 1 and 2.
5. 성적평가
- Homework + Attendance (30%), Midterm (30%), Final (40%)
- There will be a total of 10-12 homework assignments during this semester.
- 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
|
|
8. 강의진도계획
Week 1: Introduction, Probability (Ch 1.1 – 1.9, 2.1 – 2.8), Random variables (Ch 3.1 – 3.3)
Week 2: Random variables (Ch 3.1 – 3.3)
Week 3: Joint Prob Dist (Chap 3.4), Mathematical expectation (Ch 4.1 – 4.5)
Week 4: Discrete probability distributions (Ch 5.1 – 5.3)
Week 5: Discrete probability distributions (Ch 5.4 – 5.7)
Week 6: Continuous probability distributions (Ch 6.1 – 6.5)
Week 7: Continuous probability distributions (Ch 6.6 – 6.11)
Week 8: Midterm (10/24 Monday 20:00~23:00), Functions of random variables (Ch 7.1 – 7.3, 8.1 – 8.2)
Week 9: Sampling distributions (Ch 8.1 – 8.5)
Week 10 : Sampling distributions, One and two sample estimation (Ch 8.6--8.7, Ch 9.1 – 9.5)
Week 11 : One and two sample tests (Ch 9.6--9.15, 10.1 – 10.4)
Week 12: One and two sample tests (Ch 10.4 – 10.17)
Week 13: Simple linear regression (Ch 11.1 – 11.13)
Week 14: Application of probability theory and statistics for engineering and AI.
Week 15: Application of probability theory and statistics for biochemistry and physics.
Week 16: Final (12/19 Monday 20:00~23:00)
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