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Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05130304 Algorithm and Programming II 2 Autumn 3 2+2+0 3 6
Course Type Compulsory
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language English
Methods and Techniques 1. Theoretical Explanation: The topics are explained theoretically within the scope of the course. Students listen to topic explanations in order to understand the basic concepts of programming and the logic of algorithms. 2. Applied Studies: Students carry out studies with various examples under the mentorship of the course instructor in order to apply the topics explained theoretically. Gains are tried to be achieved. 3. Step-by-Step Solution: The encountered problems are solved step by step and how each step works is explained. With this method, students are provided with a better command of the topics. 4. Real Life Examples: Real life examples and problem scenarios are presented for a better understanding of the topics. In this way, students see how to use what they have learned in practice. 5. Laboratory Sheets and Quizzes: Students' progress is evaluated with weekly laboratory handouts and pre-exam quizzes, and whether the topics are understood is monitored.
Mode of Delivery Face to Face
Prerequisites There are no prerequisites for the course. All students are provided with education starting from the basic level.
Coordinator -
Instructor(s) Lect. Uğur POLAT
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Lect. Uğur POLAT -A122 TSMYO T213 [email protected] 7860 Monday
15:00-16:00
Course Content
1. Introduction to MATLAB
2. Arrays in MATLAB
3. Loops in MATLAB
4. Operations on Matrices
5. Sorting Algorithms, Functions
6. M-file and Applications
7. File Management
8. 2D Graphics
9. Array Function and Polynomials
10. Symbolic Variables and Operations
11. Basic Simulink functions and Components
Objectives of the Course
The aim of this course is to provide students with the knowledge and skills necessary to use the MATLAB programming language effectively. Throughout the course, students will learn the basic programming structure of MATLAB, data analysis, visualization, mathematical modeling, and tools for solving engineering problems.

Students will discover the potential of MATLAB in scientific and engineering applications by developing algorithms, performing data processing and analysis. In addition, it is aimed that at the end of the course, they will be able to perform various applications using MATLAB, produce original solutions to problems, and reach a level where they can express these solutions visually.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses X
Support Courses
Transferable Skills Courses X
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. 5
P2 Ability to identify, describe, mathematically express, and solve challenging engineering problems; the capability to select and utilize appropriate analysis and modeling techniques for this purpose. 5
P3 Ability to design a complex system, process, device, or product to meet specific requirements within real-world constraints and conditions; using current design techniques to achieve this goal. 4
P4 Ability to develop, prefer, and utilize current techniques and tools for analyzing and solving complex problems in engineering applications; proficiency in effectively utilizing information technologies. 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Have the skills to develop approximate solution methods to engineering problems. P.1.2 1,3,7
O2 Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. P.1.5 3,7
O3 Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. P.1.8 1,3,7
O4 Knows the basic components of computers and microprocessors and operating systems and can select component X P.3.11 1,3,7
O5 Must know the basic elements and operating systems of computers and microprocessors and be able to select components P.3.14 1,3,7
O6 Must know basic programming languages ​​(Visual basic, Assembly, C) used in programming electronic systems P.1.69 1,3,7
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Introduction to MATLAB
2 Arrays in MATLAB
3 Loops in MATLAB
4 Operations on Matrices
5 Sorting Algorithms, Functions
6 M-file and Applications
7 Pre-Exam Quiz and General Review
8 Mid-term Exam
9 File Management
10 2D Graphics
11 Array Function and Polynomials
12 Symbolic Variables and Operations
13 Basic Simulink functions and Components
14 Basic Simulink functions and Components
15 Pre-Exam Quiz and General Review
16 Final Exam
Textbook or Material
Resources Programming with MATLAB , Dr. Deniz Dal, 2015
Holly Moore, "MATLAB for Engineers" , 4th Edition
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice 14 20 (%)
Homework - -
Presentation - -
Projects - -
Quiz 2 10 (%)
Listening - -
Midterms 1 30 (%)
Final Exam 1 40 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 16 4 64
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 2 28
Midterms 1 14 14
Quiz 2 7 14
Homework 0 0 0
Practice 14 2 28
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 32 32
Other 0 0 0
Total Work Load: 180
Total Work Load / 30 6
Course ECTS Credits: 6
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P3
O1 Have the skills to develop approximate solution methods to engineering problems. 5 5
O2 Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. 5 5
O3 Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. 5 5
O4 Must know basic programming languages ​​(Visual basic, Assembly, C) used in programming electronic systems 5 5
O5 Knows the basic components of computers and microprocessors and operating systems and can select component X 5 5
O6 Must know the basic elements and operating systems of computers and microprocessors and be able to select components 5 5