2. 강의교수 정보
|
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 |
Tuesday 12:15-13:00 (Location: Mechanical Engineering Laboratory Building (기계실험동) Office #311)
|
3. 강의목표
The course aims to enhance the ability to analyze various physical phenomena in engineering. 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
| 중간고사 |
기말고사 |
출석 |
과제 |
프로젝트 |
발표/토론 |
실험/실습 |
퀴즈 |
기타 |
계 |
|
40 |
|
60 |
|
|
|
|
|
100 |
| 비고 |
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 to
Week 2 : Gauss Elimination Method & LU Decomposition
Week 3: Eigenvalues and Eigenvectors
Week 4 : Canonical Form of a Matrix, Similarity Transformation
Week 5 : Principal Axis Transformation, Hermitian Matrix
Week 6 : Invariants, Functions of Matrices
Week 7 : Ordinary Differential Equations, an Introduction of
Week 8 : Eigenfunction Expansion
Week 9 : Sturm-Liouville Problem
Week 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 : Similarity Method for Self-Similar Solutions of Partial Differential Equations
Week 15 : Various Topics
Week 16 : Final Examination
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