1. Education Information System
  2. Industrial Engineering (Msc)
  3. Applied Engineering Mathematics (2023 - 2024)
Course Name Code Semester T+U Hours Credit ECTS
Applied Engineering Mathematics ENM 501 1 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level YUKSEK_LISANS
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM
Course Lecturers Dr.Öğr.Üyesi ABDULLAH HULUSİ KÖKÇAM,
Course Assistants
Course Category Teaching Suitable For Field
Course Objective

Bu ders, programlama ve sayısal analiz teknikleri de dahil olmak üzere mühendislik problemlerinin çözümünde MATLAB yazılım ortamının kullanımı hakkında bilgi edindirmeyi amaçlamaktadır.
Course Content

MATLAB’in teknik sayısal hesaplamalarda ve görselleştirmede etkin bir şekilde kullanılması için gerekli temel bilgiler ve pratik beceriler verilecektir. Öğrenciler, ders kapsamında gerçek bir mühendislik problemini çözecek ve bir makale hazırlayacaklardır.

Ders kapsamında MATLAB yazılımı üzerinden dosya yönetimi, veri yönetimi, diziler, döngü ve şart deyimleri, algoritma ve programlama, grafikler, polinomlar, eğri uydurma ve ara değer hesabı, temel istatistik ve veri analizi, sayısal analiz uygulamaları, sembolik işlemler ve grafik ara yüz hazırlama konularında durulacaktır.
Development Goals
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Able to use fundamental features of MATLAB as a programming tool and easily handle the software. Lecture,
2 Knows memory and file management in MATLAB. Discussion, Question-Answer, Sightseeing, Lecture,
3 Discussion, Question-Answer, Sightseeing, Lecture,
4 Discussion, Question-Answer, Sightseeing, Lecture,
5 Discussion, Question-Answer, Sightseeing, Lecture,
6 Discussion, Question-Answer, Sightseeing, Lecture,
7 Discussion, Brain Storming, Question-Answer, Sightseeing, Lecture,
8
Week Course Topics Preliminary Preparation
1 Course introduction, Introduction to MATLAB
2 MATLAB files and file management, Data management
3 Arrays: Vectors and matrices, Operations on arrays
4 Loop and condition statements
5 Algorithm and programming
6 Functions
7 Graphics
8 Polynomials, curve fitting and interpolation
9 Basic statistics and data analysis
10 Numerical analysis applications
11 Symbolic operations
12 Graphical interface
13 Paper Presentations
14 Paper Presentations
Resources
Course Notes

Uygulamalı Mühendislik Matematiği Ders Sunumları
Course Resources

1.    Çankaya İ., Akgün D., Kaçar S., “Mühendislik Uygulamaları için MATLAB”, 2016.
2.    Turk, I., "Practical MATLAB With Modeling, Simulation, and Processing Projects", 2019.
3.    Gilat, A., “MATLAB: An Introduction with Applications”, John Wiley and Sons Inc., 2014.
4.    Lent, C. S., "Learning to Program with MATLAB: Building GUI Tools", John Wiley and Sons Inc., 2013.
5.    MathWorks, “Global Optimization Toolbox User's Guide”, MathWorks Inc., 2018.
6.    Şen, Z., "Earth Systems Data Processing and Visualization Using MATLAB", Springer International Publishing, 2020.
7.    Bashier, E. B. M., "Practical Numerical and Scientific Computing with MATLAB® and Python", CRC Press, 2020.
8.    Eshkabilov, S. L., "Practical MATLAB Modeling with Simulink: Programming and Simulating Ordinary and Partial Differential Equations", Apress, 2020.
9.    Sizemore J., Mueller, J. P., "MATLAB for dummies", John Wiley & Sons, 2015.
10.  Kubat, C. “MATLAB: Yapay Zeka ve Mühendislik Uygulamaları”, 2014.
Week Documents Description size
0 0 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Introduces scientific, technological, social or cultural advances in his/her field in national and international scientific environments (meetings) in order to contribute to the society to become an information society and to provide solutions to social, scientific, cultural and ethical problems.
2 To be able to reach information in breadth and depth by conducting scientific research in the field, to have comprehensive knowledge about current techniques and methods in the field and their limitations, and to evaluate, interpret and apply the information obtained. X
3 Defines and formulates problems related to the field, develops new and / or original ideas and methods; designs complex systems or processes and uses innovative / alternative solutions and emerging innovative methods in their designs. X
4 Designs and implements theoretical, experimental and modelling based researches, completes uncertain, limited or incomplete data with scientific methods; observes social, scientific and ethical values in the stages of collecting, interpreting and announcing data and in all professional activities. X
5 To be able to work effectively together or independently in disciplinary and multidisciplinary teams and take responsibility. To be aware of the social, environmental, health, safety, security, legal aspects, and business life practices of the applications in the field and to be aware of the limitations imposed by these. To be able to work effectively together or independently in disciplinary and multidisciplinary teams and take responsibility. X
# Contribution of Course Learning Outcomes to Program Outcomes PÇ 1 PÇ 2 PÇ 3 PÇ 4 PÇ 5
1 Able to use fundamental features of MATLAB as a programming tool and easily handle the software. 5
2 Knows memory and file management in MATLAB. 5
3 5
4 5
5 5
6 5
7 5 5 5
8 5
Evaluation System
Semester Studies Contribution Rate
1. Ödev 15
2. Ödev 15
3. Ödev 15
4. Ödev 15
1. Performans Görevi (Seminer) 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
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 3 48
Assignment 4 5 20
Performance Task (Seminar) 1 24 24
Final examination 1 10 10
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6