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 |
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
|
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Advanced Calculus for Applications
|
F. Hildebrand
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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
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