BBZ309 MATLAB Programming

5 ECTS - 2-2 Duration (T+A)- 5. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
COMPUTER SCIENCES PR.
Code BBZ309
Name MATLAB Programming
Term 2025-2026 Academic Year
Semester 5. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. Ayşe Gül KAPLAN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to provide the skills to analyze data, develop algorithms and solve complex problems by effectively using the MATLAB programming language and environment.

Course Content

In this course, basic information about Matlab, simple operations with Matlab, variables, general commands, file operations, loops and queries, mathematical operations, and graph drawing topics are explained.

Course Precondition

None

Resources

Assoc. Prof. Dr. D. İbrahim, Working with Matlab from A to Z, Composition Publications, 2004.

Notes

Brian H. Hahn, Daniel T. Valentine, Translation editor Assoc. Prof. Dr. İ. Karatay, Essential Matlab, Nobel Academic Publishing, 2016.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the Matlab package program, a mathematics-based package program, at a basic level.
LO02 Solves basic mathematical problems using the Matlab package program.
LO03 Gains basic knowledge about programming fundamentals and capabilities with the Matlab program.
LO04 Solves complex problems using the Matlab program.
LO05 Obtains visual results with the drawing tools of the Matlab program.
LO06 Solves engineering problems using the Matlab package program.
LO07 Solves engineering problems involving differential equations with the Matlab program.
LO08 Writes Matlab programs to solve engineering problems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gain comprehensive knowledge of fundamental concepts, algorithms, and data structures in Computer Science. 4
PLO02 Bilgi - Kuramsal, Olgusal Learn essential computer topics such as software development, programming languages, and database management 4
PLO03 Bilgi - Kuramsal, Olgusal Understand advanced computer fields like data science, artificial intelligence, and machine learning. 3
PLO04 Bilgi - Kuramsal, Olgusal Acquire knowledge of topics like computer networks, cybersecurity, and database design.
PLO05 Beceriler - Bilişsel, Uygulamalı Develop skills in designing, implementing, and analyzing algorithms 4
PLO06 Beceriler - Bilişsel, Uygulamalı Gain proficiency in using various programming languages effectively 4
PLO07 Beceriler - Bilişsel, Uygulamalı Learn skills in data analysis, database management, and processing large datasets.
PLO08 Beceriler - Bilişsel, Uygulamalı Acquire practical experience through working on software development projects.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Strengthen teamwork and communication skills.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Foster a mindset open to technological innovations. 4
PLO11 Yetkinlikler - Öğrenme Yetkinliği Encourage the capacity for continuous learning and self-improvement. 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Enhance the ability to solve complex problems


Week Plan

Week Topic Preparation Methods
1 Use of Matlab programming language, simple operations with Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Mathematical functions and commands in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
3 Arrays in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Matrices and solving linear equation systems with matrices in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Polynomials in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
6 M-files and user functions in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Decision structures in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Loop structures in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Drawing graphs in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
11 Interpolation in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Curve fitting in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
13 Integral calculation in Matlab Reading sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Symbolic mathematics in Matlab Reading sources Öğretim Yöntemleri:
Soru-Cevap, Alıştırma ve Uygulama
15 Applications in Matlab Reading sources Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 20 20
Total Workload (Hour) 128
Total Workload / 25 (h) 5,12
ECTS 5 ECTS

Update Time: 07.05.2025 03:39