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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Mechatronics
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
03710103 Algorithms and Programming 1 Autumn 1 2+0+2 5 5
Course Type Compulsory
Course Cycle Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language Turkish
Methods and Techniques 1. Theoretical Lecture: Topics are explained theoretically within the scope of the course. Students listen to lectures to understand the basic concepts of programming and the logic of algorithms. 2. Practical Exercises: Students work with various examples under the mentorship of the course instructor to apply the theoretically explained topics. The aim is to achieve learning outcomes. 3. Step-by-Step Solution: Problems are solved step-by-step, and how each step works is explained. This method helps students gain a better understanding of the topics. 4. Real-Life Examples: Real-life examples and problem scenarios are presented to help students better understand the topics. This allows students to see how to apply what they have learned in practice. 5. Laboratory Worksheets and Quizzes: Weekly laboratory worksheets and pre-exam quizzes are used to evaluate student progress and monitor understanding of the topics.
Mode of Delivery Face to Face
Prerequisites There are no prerequisites for the course. All students receive instruction 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 C-129 [email protected] 7860 Thursday
14:00-16:00
Course Content
1. Fundamentals of Computers
-Software and Hardware
-Number Systems
2. Algorithms and Flowcharts
-Pseudo Codes
3. Writing, Compiling and Running a C Program
4. Relational&Logical Operators and Conditional Statements
5. Loops
6. Functions
7. Debugging
8. One-Dimensional/Two-Dimensional Arrays
9. String Class and String Operations
Objectives of the Course
Main goal of the course; To teach students the fundamentals of programming and the principles of algorithm design. Students will gain the algorithmic thinking structure and develop various problem solving techniques using this structure. Additionally, they will learn the basic building blocks of the software development process by practicing coding in C, a low-level and powerful programming language.

Within the scope of the course, students learn basic programming topics such as variables, data types, operators, control structures, loops, functions and data structures; They will gain the skills of establishing algorithms, analyzing problems, producing solutions and coding these solutions effectively. This course aims to reinforce algorithmic thinking skills for introductory C programming language students, creating a solid foundation for transitioning to more complex software development topics in the future.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses
Support Courses
Transferable Skills Courses
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 Has Fundamental, Current, And Practical Knowledge Related to Their Profession. 2
P3 Follows and Effectively Uses Current Developments and Applications in Their Profession 2
P4 Effectively Uses Information Technologies (Software, Programs, Animations, Etc.) Related to Their Profession 5
P5 Possesses the Ability to Evaluate and Propose Solutions to Professional Problems and Issues Independently, With an Analytical and Critical Approach 2
P6 Can Effectively Present Thoughts at The Level Of Knowledge and Skills Through Written and Verbal Communication And Expresses Them Clearly 1
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Acquires hands-on experience in the setup, programming, and maintenance of industrial automation systems. P.1.7 1,7
O2 Effectively uses programming languages and software tools in mechatronic applications P.4.2 1,7
O3 Knows basic programming languages used in the programming of mechatronic systems P.4.5 1,7
O4 Can write control algorithms on microprocessors P.4.7 1,7
O5 Knows algorithm design and analysis techniques P.4.8 1,7
O6 Knows algorithm development and can create a data structure suitable for the algorithm P.4.9 1,7
O7 Conveys complex engineering concepts simply and clearly P.6.3 1,7
** 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 Fundamentals of Computers | Software and Hardware - Number Systems
2 Algorithms and Flowcharts | Pseudocodes
3 Writing, Compiling and Running a C Program on IDE Dev-C++ | Escape Characters-Memory Concepts-Arithmetic Operations
4 Relational and Logical Operators and Conditional Expressions
5 Relational and Logical Operators and Conditional Expressions
6 Lecture Repetitions and Laboratory Practices
7 Pre-Exam Quiz and General Review
8 Mid Term
9 Loops
10 Functions
11 Debugging
12 Lecture Repetitions and Laboratory Practices
13 1-D and 2-D Arrays and Applications
14 String Class and Character Array Operations
15 Pre-Exam Quiz and General Review
16 Final Exam
Textbook or Material
Resources C How To Program Ninth Edition -Paul Deitel-Pearson
Coding in C with the Help of Numerous Solved Examples | Nobel Publishing
Algoritma Geliştirme ve Programlamaya Giriş, Prof. Dr. Fahri Vatansever, Seçkin Yayıncılık, 2020
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Homework - -
Presentation - -
Projects - -
Quiz 9 25 (%)
Midterms 1 30 (%)
Final Exam 1 45 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 2 28
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 20 20
Quiz 0 0 0
Homework 0 0 0
Practice 1 14 14
Laboratory 14 2 28
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 152
Total Work Load / 30 5,07
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P4 P6
O1 Acquires hands-on experience in the setup, programming, and maintenance of industrial automation systems. 2 - -
O2 Effectively uses programming languages and software tools in mechatronic applications - 5 -
O3 Knows basic programming languages used in the programming of mechatronic systems - 5 -
O4 Can write control algorithms on microprocessors - 2 -
O5 Knows algorithm design and analysis techniques - 5 -
O6 Knows algorithm development and can create a data structure suitable for the algorithm - 5 -
O7 Conveys complex engineering concepts simply and clearly - - 2