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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
 
Optimization with MATLAB
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Erdal AYDEMİR
Course Instructors
3-Erdal AYDEMİR
Course Assistants
7-M. Emrah BURHAN
Course Aims
- Modeling and developing a software with MATLAB
- Solving the optimization problems
Course Goals
- Modeling and developing with MATLAB
- Using optimization and artificial intelligence methods
Learning Outcomes of The Course Unit
-
Course Contents
- Modeling and Developing with MATLAB
- Using optimization and AI methods
- Meta-Heuristics ve Mat-Heuristics algorithms
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
3
42
Homework
5
20
Homeworks
5
6
30
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
1
10
10
Lab
0
0
Lab Study
0
0
0
Project
1
30
Field Study
0
0
0
Workshop
0
0
Visas
0
0
0
Seminary
0
0
Finals
0
0
0
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
 
The ratio of the term to success
50
Course's ECTS Credit
 
The ratio of final to success
50
 
TOTAL
100
 
Recommended or Required Reading
Textbook
- Lecture Notes
- MATLAB Programming Fundamentals, Mathworks, 2016.
- MATLAB Yapay Zeka ve Mühendislik Uygulamaları, Kubat C., Abaküs Yayınları, 2016.
- MATLAB: A practical approach, Attaway S., Elsevier, 2009.
- Essential MATLAB® for Engineers and Scientists, Hahn, B.D, Valentine, D. T., Elsevier, 2007.
Additional Resources
-
Material Sharing
Documents
-
Assignments
-
Exams
-
Additional Material
-
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5