Course Name Code Semester T+U Hours Credit ECTS
Advenced Programmimg For Engineering Applications MEK 533 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. SEZGİN KAÇAR
Course Lecturers
Course Assistants
Course Category Field Proper Education
Course Objective

Sakarya University have been proposed to meet Mechatronics Engineering EABD especially mathematical methods used by those who graduate training in engineering and techniques to be implemented as a computer program and the visual programming needs within the Graduate School of Science and Technology.

Course Content

Introduction of Matlab Program, Basic matrix and vector operations in Matlab program, Basic mathematical and logical operations in Matlab program, Basic loop and comparing operations in Matlab, Functions creation in Matlab, Numerical analysis operations in Matlab, Basic file and data transfer operations in Matlab, Matlab GUI usage, Database usage in Matlab, Application projects.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 To perform basic MATLAB operations Lecture, Question-Answer, Motivations to Show, Testing, Project / Design,
2 To create basic MATLAB graphics Lecture, Question-Answer, Motivations to Show, Testing, Project / Design,
3 To make GUI design with MATLAB. Lecture, Question-Answer, Demonstration, Testing, Project / Design,
4 To make database application with MATLAB. Lecture, Question-Answer, Motivations to Show, Testing, Project / Design,
5 To perform various file operations with MATLAB. Lecture, Question-Answer, Motivations to Show, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to Matlab
2 Basic matrix and vector operations in Matlab
3 Basic mathematical and logical operations in Matlab
4 Basic loops and comparison operations in Matlab
5 Creating functions in Matlab
6 Numerical analysis in Matlab
7 Numerical analysis in Matlab
8 Using database in Matlab
9 Basic files operations in Matlab
10 Midterm exam
11 GUI in Matlab
12 GUI in Matlab
13 Applications
14 Applicaitons
Resources
Course Notes
Course Resources

1. İ. Çankaya, D. Akgün, S. Kaçar, “Mühendislik Uygulamaları için MATLAB”, Seçkin Yayıncılık, 2014.

3. Matlab User’s Guides.

4. Matlab Help.

5. www.mathworks.com

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise X
5 Ability to complete and implement "limited or incomplete data" by using the scientific methods. X
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
9 Gain high level ability to define the required information and data
10 Aware of new and developing application of profession and ability to analyze and study on those applications X
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment
12 At least be capable of oral and written communication in a foreign language
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Proje / Tasarım 50
Total 100
1. Final 30
1. Yıl İçinin Başarıya 70
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 3 3
Project / Design 1 20 20
Final examination 1 3 3
Total Workload 138
Total Workload / 25 (Hours) 5.52
dersAKTSKredisi 6