2. Instructor Information
|
Name |
Kim Hyeongkwan |
Department |
Dept. of Mathematics |
| Email address |
hkwan@postech.ac.kr
|
Homepage |
|
| Office |
수리과학관 103-B호 |
Office Phone |
054-279-5814 |
| Office Hours |
Friday, 11am (Please make an appointment in advance.)
|
3. Course Objectives
This course covers basic probability theory and its applications to statistics; mainly sample estimation, hypothesis testing, and regression.
4. Prerequisites & require
Calculus I & II
5. Grading
Homework (0%), Quiz (20%), Midterm (40%), Final (40%)
More than 7 absences will result in an automatic F grade.
6. Course Materials
| Title |
Author |
Publisher |
Publication
Year/Edition |
ISBN |
|
"Probability & Statistics for Engineers & Scientists", 9th edition (*Global Edition*)
|
Walpole, Myers, Myers, and Ye
|
Pearson Education Limited
|
2016
|
1292161361
|
8. Course Plan
Week 1: Probability (Ch 2.1 - 2.7)
Week 2: Random variables and probability distributions (Ch 3.1 – 3.4)
Week 3: Random variables and probability distributions (Ch 3.4) / Mathematical expectation (Ch 4.1, 4.3)
Week 4: Mathematical expectation (Ch 4.1 - 4.4)
Week 5: Discrete probability distributions (Ch 5.2 - 5.5)
Week 6: Chuseok holiday (No class) / Hangul holiday (No class)
Week 7: Continuous probability distributions (Ch 6.1 – 6.6)
Week 8: Midterm exam: October 21, Tuesday, 12:30 - 3:30pm (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) / One- and two-sample estimation (Ch 9.2, 9.3)
Week 11 : One- and two-sample estimation (Ch 9.3 – 9.11)
Week 12 : One- and two-sample estimation (Ch 9.12 – 9.14) / One- and two-sample tests (Ch 10.1 – 10.3)
Week 13: One- and two-sample tests (Ch 10.4 – 10.10)
Week 14: One- and two-sample tests (Ch 10.11 - 10.14) / Simple linear regression (Ch 11.1 – 11.5)
Week 15: Simple linear regression (Ch 11.5 – 11.9)
Week 16: Final exam: December 16, Tuesday, 12:30 - 3:30pm (Tentative)
10. How to Teach & Remark
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. Supports for Students with a Disability
- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.
- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.
- Please contact Center for Students with Disabilities (279-2434) for additional assistance