확률및통계 (2026-090, 01400415_01660701): Course syllabus

1.Course Information

Course No.	MATH230	Section	01	Credit	3.00
Category	Major required	Course Type		prerequisites
Postechian Core Competence	Interpersonal Relationship Global Citizenship Knowledge Research Digital Literacy Self Management Creative Convergence
Hours	MON, WED / 15:30 ~ 16:45 / MathBldg[402]Lecture Room \| WED / 20:00 ~ 20:50 / MathBldg[402]Lecture Room \| WED / 20:00 ~ 20:50 / MathBldg[206]Lecture Room \| WED / 20:00 ~ 20:50 / MathBldg[104]Lecture Room			Grading Scale	G

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 linear regression.

4. Prerequisites & require

Calculus I & II

5. Grading

Midterm Exam	Final Exam	Attendance	Assignment	Project	Presentation/Discussion	Laboratory/Practice	Quiz	Others	Total

비고	Homework (0%), Quiz (30%), Midterm (35%), Final (35%) 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

7. Course References

8. Course Plan

Week 1: Probability (Ch 2.1 - 2.7)
Week 2: Substitute holiday (Independence Movement Day) No class / Random variables and probability distributions (Ch 3.1 – 3.3)
Week 3: Random variables and probability distributions (Ch 3.4)
Week 4: Mathematical expectation (Ch 4.1 - 4.3)
Week 5: Mathematical expectation (Ch 4.2, 4.4) / Discrete probability distributions (Ch 5.2 - 5.4)
Week 6: Discrete probability distributions (Ch 5.4, 5.5) / Continuous probability distributions (Ch 6.1 – 6.5)
Week 7: Continuous probability distributions (Ch 6.5 - 6.9) / Moments and Moment-Generating Functions (Ch 7.3)
Week 8: Midterm exam: April 15, Wednesday, 2-5pm (Tentative)
Week 9: Moments and Moment-Generating Functions (Ch 7.3) / Sampling distributions (Ch 8.1 – 8.4)
Wekk 10: Sampling distributions (Ch 8.4 – 8.7) / One- and two-sample estimation (Ch 9.2 - 9.4)
Week 11 : One- and two-sample estimation (Ch 9.4 – 9.14)
Week 12 : One- and two-sample tests (Ch 10.1 – 10.5)
Week 13: One- and two-sample tests (Ch 10.6 – 10.13) / Simple linear regression (Ch 11.1, 11.3)
Week 14: Substitute holiday (Buddha's birthday) No class / Simple linear regression (Ch 11.2, 11.4, 11.5)
Week 15: Simple linear regression (Ch 11.5 – 11.9)
Week 16: Final exam: June 10, Wednesday, 2-5pm (Tentative)

9. Course Operation

10. How to Teach & Remark

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

2026-Spring Probability & Statistics (MATH230-01) The course syllabus