3. 강의목표
확률의 기본개념과 확률분포에 대해 학습하고 이를 통계적 추론에 응용한다.
Learn basic probability and statistics theorems and apply them to practical problems.
4. 강의선수/수강필수사항
Calculus I & II
5. 성적평가
출석 및 과제물 25%, 퀴즈 10%, 중간고사 30%, 기말고사 35%를 합산하여 절대평가합니다.
총 100점 만점에서 85 이상 A, 70 이상 B, 55이상 C. (+/0/- 의 세부학점은 시험난이도에 따라 추후 결정)
과제 제출시한 엄수; 추가 시험 없음!
25% for attendance and assignments; 10% for Quiz, 30% for the midterm exam; 35% for the final exam
Out of 100, A for 85 and up, B for 70 and up, C for 55 and up. (Sub grades of +/0/- will be determined later depending on the problem level of the exams.)
No late assignment submission 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 – 6.11)
Week 7: Functions of random variables (Ch 7.1 – 7.3, 8.1 – 8.2)
Week 8: Midterm (April 7, Mon, 15:30~18:30), Sampling distributions (Ch 8.1 – 8.4)
Week 9: Sampling distributions (Ch 8.5 – 8.9)
Week 10 : One and two sample estimation (Ch 9.1 – 9.5)
Week 11 : One and two sample tests (Ch 9.6--9.14)
Week 12: One and two sample tests (Ch 10.1 – 10.4)
Week 13: One and two sample tests (Ch 10.5 – 10.9)
Week 14: Simple linear regression (Ch 11.1 – 11.11)
Week 15: Some Applications
Week 16: Final (June 2, Mon, 15:30~18:30)
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