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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
03820106 Programming Fundamentals II 2025 Spring 2 3+2+0 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 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 TSMYO-T213 [email protected] 7860 Monday
15.00-16.00
Course Content
1. Introduction to C++ Programming (Hello World!)
2. Operators and Control Structures
3. Functions
4. One-Dimensional / Two-Dimensional Arrays
5. String Class and String Operations
6. Pointers
7. Templates and Standard Template Library
8. File Operations and Debugging
9. Introduction to Object-Oriented Programming
Objectives of the Course
The aim of this course is to advance students who have basic programming knowledge in algorithmic thinking skills and C programming language competence. Students will gain in-depth knowledge on topics such as more complex data structures, memory management and pointer manipulation, and will be able to develop applications using advanced C features such as dynamic memory management and file operations. In addition, students will learn to develop, analyze and optimize effective algorithms for solving complex problems.

At the end of the course, students will experience software development processes with comprehensive project-based studies, expand their knowledge in C language and gain proficiency in data structures and algorithms. This course aims to provide a solid foundation in C programming language to support professional level software development skills.
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. 4
P5 Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions. 4
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. 4
P7 Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field 5
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 Must know and use current software development platforms. P.3.2 1,6,7
O5 Analyzes complex problems and develops solution strategies P.3.4 6,7
O6 Knows analytical, effective research and solution techniques to identify problems. P.5.2 1,4,6,7
O7 Evaluates alternative solutions and selects the most appropriate one. P.5.3 7
O8 Evaluate computer science topics and algorithms using critical thinking skills P.5.4 1,4
O9 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. P.11.1 1,4,7
O10 Knows and uses current Information Technology platforms. P.11.2 4,6,7
O11 Has knowledge of current programming languages. P.11.3 1,7
O12 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 Introduction to C++ Programming (Hello World!)
2 Operators and Control Structures
3 Operators and Control Structures
4 Functions
5 One-Dimensional / Two-Dimensional Arrays
6 One-Dimensional / Two-Dimensional Arrays
7 Pre-Exam Quiz and General Review
8 Mid-term Exam
9 String Class and String Operations
10 String Class and String Operations
11 Pointers
12 Templates and Standard Template Library
13 File Handling and Error Handling
14 Introduction to Object-Oriented Programming
15 Pre-Exam Quiz, General Review and Term-projects
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 1 15 (%)
Seminar - -
Quiz 2 15 (%)
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 10 10
Quiz 2 2 4
Homework 0 0 0
Practice 14 4 56
Laboratory 0 0 0
Project 7 1 7
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 10 10
Other 0 0 0
Total Work Load: 179
Total Work Load / 30 5,97
Course ECTS Credits: 6
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P3 P5 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 Must know and use current software development platforms. - 5 - - -
O5 Analyzes complex problems and develops solution strategies - 4 - - -
O6 Knows analytical, effective research and solution techniques to identify problems. - - 5 - -
O7 Evaluates alternative solutions and selects the most appropriate one. - - 5 - -
O8 Evaluate computer science topics and algorithms using critical thinking skills - - 4 - -
O9 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. - - - 5 -
O10 Knows and uses current Information Technology platforms. - - - 5 -
O11 Has knowledge of current programming languages. - - - 5 -
O12 Tests software and fixes bugs. - - - - 5