3. 강의목표
Basic concept of probability will be introduced, with a focus on probabaility distribution and applications to statistical inference.
4. 강의선수/수강필수사항
Calculus 1 and 2.
5. 성적평가
Attendance+Participation (5%), Quiz (20%), Midterm (35%), Final (40%) .
We will have weekly quizzes. No make-up quizzes and exams! Instead, I will drop two of your lowest quiz scores at the end.
If you don't take the mid-term exam or the final exam, you will get an F grade.
More than 6 absences will result in an automatic F grade.
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), 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 – 6.9), Functions of random variables (Ch 7.1 – 7.3)
Week 8: Midterm
Week 9: Application of probability theory
Week 10: Sampling distributions (Ch 8.1 – 8.5)
Week 11 : Sampling distributions, One and two sample estimation (Ch 8.6--8.7, Ch 9.1 – 9.5)
Week 12 : One and two sample tests (Ch 9.6--9.15, 10.1 – 10.4)
Week 13: One and two sample tests (Ch 10.4 – 10.17), Simple linear regression (Ch 11.1 – 11.3)
Week 14: Simple linear regression (Ch 11.4 – 11.13)
Week 15: Application of statistics
Week 16: Final
9. 수업운영
- No make-up exams.
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