GRADUATE SCHOOL

Mechanical Engineering Master's Program with Thesis (English)

ME 524 | Course Introduction and Application Information

Course Name
Analytical Methods in Engineering
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ME 524
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of this course is to ensure that the students will learn advanced mathematical methods for solving mechanical engineering problems. Ordinary differential equations and partial differential equations will be studied.
Learning Outcomes The students who succeeded in this course;
  • Analyse advance mathematics subjects
  • Apply mathematical methods to engineering problems.
  • Develop solution methods for different engineering systems problems.
  • Define ordinary differential equations and partial differential equations
  • Apply numerical methods for engineering problems
Course Description This course will cover ordinary differential equations, partial differential equations, and solution methods with engineering problems.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 First Order Ordinary Differential Equations Chapter 1 Advanced Engineering Mathematics, 10th Edition Erwin Kreyszig
2 Second Order Linear Ordinary Differential Equations E.Kreyszig-Chapter 2
3 Higher Order Linear Differential Equations E.Kreyszig-Chapter 3
4 Systems of Ordinary Differential Equations E.Kreyszig-Chapter 4
5 Series Solutions of Ordinary Differential Equations E.Kreyszig-Chapter 5
6 Laplace Transforms E.Kreyszig-Chapter 6
7 Laplace Transforms E.Kreyszig-Chapter 6
8 Midterm examination
9 Fourier Series E.Kreyszig-Chapter 11
10 Partial Differential Equations E.Kreyszig-Chapter 12
11 Partial Differential Equations E.Kreyszig-Chapter 12
12 Complex Numbers and Functions E.Kreyszig-Chapter 13
13 Power Series-Taylor Series E.Kreyszig-Chapter 15
14 Numerical Analysis E.Kreyszig-Chapter 19
15 Review of the term
16 Final examination

 

Course Notes/Textbooks

Advanced Engineering Mathematics, 10th Edition

Erwin Kreyszig, ISBN: 978-1-119-45592-9 July 2020 1280 Pages

Suggested Readings/Materials

W.E. Boyce and R.C. DiPrima, 'Elementary Differential Equations and Boundary Value Problems', Wiley,7th Ed.,2001.

Dennis G.Zill, Warren S.Wright, ”Advanced Engineering Mathematics”, Jones&Barlett learning 5th Ed. 2012

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
3
30
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
4
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
5
70
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
3
8
24
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
33
33
Final Exam
1
50
50
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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