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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
03810101 Programming Fundamentals I 1 Autumn 1 3+1+1 6 6
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 Work: Students work with various examples under the mentorship of the course instructor to apply the topics explained theoretically. Efforts are made 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 use what they have learned in practice. 5. Laboratory Worksheets and Quizzes: Weekly laboratory worksheets and pre-exam quizzes are used to evaluate students' progress and monitor their 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 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
P4 Effectively uses information technologies (software, programs, animations, etc.) related to her/his profession. 5
P1 He/she has basic, current and applied information about his/her profession. 5
P3 He/She follows current developments and practices in his profession and uses them effectively. 5
P5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions. 5
P6 Can present his/her thoughts effectively through written and verbal communication at the level of knowledge and skills and expresses them in an understandable manner. 3
P7 Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field 4
P11 Creates algorithms and data structures and performs mathematical calculations. 5
P14 Tests software and fixes bugs. 5
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Knows the basic elements of a computer. P.1.1 1,7
O2 Knows how to use the internet and do research. P.1.2 4
O3 Can perform basic mathematical analyses related to his/her profession. P.1.3 4,6,7
O4 Knows current techniques for data analysis. P.3.1 1,6,7
O5 Must know and use current software development platforms. P.3.2 1,6,7
O6 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. P.11.1 1,4,7
O7 Knows and uses current Information Technology platforms. P.11.2 4,6,7
O8 Has knowledge of current programming languages. P.11.3 1,7
O9 Tests software and fixes bugs. P.14.1 1,4,6,7
** 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 Exam
9 Loops
10 Functions
11 Debugging
12 Lecture Repetitions and Laboratory Practices
13 One Dimensional / Two Dimensional Arrays
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
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Field Study - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Seminar - -
Quiz 6 25 (%)
Listening - -
Midterms 1 30 (%)
Final Exam 1 45 (%)
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 2 2
Quiz 10 2 20
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: 174
Total Work Load / 30 5,80
Course ECTS Credits: 6
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P3 P11 P14
O1 Knows the basic elements of a computer. 5 - - -
O2 Knows how to use the internet and do research. 4 - - -
O3 Can perform basic mathematical analyses related to his/her profession. 4 - - -
O4 Knows current techniques for data analysis. - 5 - -
O5 Must know and use current software development platforms. - 5 - -
O6 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. - - 5 -
O7 Knows and uses current Information Technology platforms. - - 5 -
O8 Has knowledge of current programming languages. - - 5 -
O9 Tests software and fixes bugs. - - - 5