2026년도 2학기 경영통계 (MSIP506-01) 강의계획서

1. 수업정보

학수번호 MSIP506 분반 01 학점 3.00
이수구분 전공필수 강좌유형 선수과목
포스테키안 핵심역량
강의시간 금 / 15:00 ~ 17:45 / 온라인 강의실 [004호] 성적취득 구분 G

2. 강의교수 정보

서지현 이름 서지현 학과(전공) 인문사회학부
이메일 주소 jihyunsuh@postech.ac.kr Homepage
연구실 전화 054-279-2028
Office Hours By appointment

3. 강의목표

This course introduces the fundamental concepts of statistics and their application in the business world. Students will learn to collect, analyze, interpret, and present data in a business context. The course emphasizes the use of statistical software to perform analyses and solve problems encountered in various business disciplines, including marketing, finance, operations, and human resources. Through lectures, hands-on exercises, and case studies, students will gain the skills needed to apply statistical reasoning to inform strategic decision-making.

Course Objectives:
Upon successful completion of this course, students will be able to:

1. Understand and apply basic statistical terminology and concepts in a business context.
2. Analyze and interpret data using descriptive and inferential statistics.
3. Make informed decisions based on statistical analysis.
4. Use statistical software to perform data analysis.
5. Present statistical findings effectively to a business audience.

4. 강의선수/수강필수사항

※ 본 교과목은 경영과학전공 학생만 대상으로 하며, 타 전공 및 타 학과 학생의 수강은 불가함 (This course is open only to students in the Management Science major. Enrollment by students from other majors or departments is not permitted.)

5. 성적평가

중간고사 기말고사 출석 과제 프로젝트 발표/토론 실험/실습 퀴즈 기타
30 35 5 20 10 100
비고
- Midterm examination
- Final examination
- Homework assignments
- In-class quizzes (you can drop your lowest quiz score)
*Note: The grading weights shown above are preliminary and have been entered as temporary placeholders. The final grading policy, including the grading weights, will be confirmed and announced by the instructor at a later date.

6. 강의교재

도서명 저자명 출판사 출판년도 ISBN
TBA 0000

7. 참고문헌 및 자료

8. 강의진도계획

Week1. Central tendency measures
Week2. Exploratory data analysis
Week3. Probability & sampling distributions
Week4. Hypothesis testing
Week5. Effect size, p-value, & power
Week6. T-test
Week7. ANOVA (analysis of variance)
Week8. Midterm exam
Week9. Chi-square test for independence
Week10. Correlation
Week11. Linear regression
Week12. Multiple regression
Week13. Non-parametric statistics
Week14. Time-series analysis
Week15. Wrap-up
Week16. Final Exam

9. 수업운영

This course will take place remotely; there will be no in-person meeting.

10. 학습법 소개 및 기타사항

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