2025년도 1학기 공학해석방법 (MECH501-01) 강의계획서

1. 수업정보

학수번호 MECH501 분반 01 학점 3.00
이수구분 전공선택 강좌유형 강의실 강좌 선수과목
포스테키안 핵심역량
강의시간 화, 목 / 09:30 ~ 10:45 / 제5공학관 강의실 [108/110호] 성적취득 구분 G

2. 강의교수 정보

박형규 이름 박형규 학과(전공) 기계공학과
이메일 주소 parkhg@postech.ac.kr Homepage https://nets.postech.ac.kr
연구실 에너지 및 지속가능성 지향 나노과학 연구실 전화 054-279-2175
Office Hours Wednesday 13:30-14:15 (Location: Mechanical Engineering Laboratory Building (기계실험동) Office #311)

3. 강의목표

The course aims to enhance the ability of handling various physical phenomena in engineering analytically. The course focuses on solution methods and offers physical interpretations of the results.

4. 강의선수/수강필수사항

MATH110 (Calculus), MATH113 (Calculus Lab), MATH120 (Applied Linear Algebra) or any course that covers Calculus and Linear Algebra at an undergraduate level

5. 성적평가

Homework: 60%; Final Examination: 40%

6. 강의교재

도서명 저자명 출판사 출판년도 ISBN
.H. Kwon, Lecture Note “Analytical Methods in Engineering” (modified & selected from M. J. Lee’s lecture note) T.H. Kwon, 1992
Advanced Engineering Mathematics Erwin Kreyszig 2011
Advanced Calculus for Applications F. Hildebrand Prentice-Hall 1976
Methods of Applied Mathematics F. Hildebrand Dover Publications 1992
Introduction to Linear Algebra G. Strang, 2016
길잡이 공업수학 (개정4판) 김찬중 범한서적 2020

7. 참고문헌 및 자료

1. Foundations of Applied Mathematics by M. D. Greenburg, Prentice-Hall, 2013
2. Applied Linear Algebra by P. Oliver, Prentice Hall, 2005
3. Greens Functions and Boundary Value Problems by I. Stakgold, M. Hoist, Wiley, 2011

8. 강의진도계획

Week 1 : Linear Algebra, an Introduction of
Week 2 : Eigenvalues and Eigenvectors
Week 3 : Canonical Form of a Matrix, Similarity Transformation
Week 4 : Principal Axis Transformation, Hermitian Matrix
Week 5 : Invariants, Functions of Matrices
Week 6 : Ordinary Differential Equations, an Introduction of
Week 7 : Eigenfunction Expansion
Week 8 : Sturm-Liouville Problem
Week 9-10 : Method of Green’s Functions
Week 11 : Partial Differential Equations: Eigenvalue Problems by Separation of Variables
Week 12 : Solution of Partial Differential Equations by Eigenfunction Expansions
Week 13 : Removal of Inhomogeneity from Partial Differential Equations
Week 14 : Simiilarity Method for Self-Similar Solutions of Partial Differential Equations
Week 15 : Various Topics
Week 16 : Final Examination

9. 수업운영

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