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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 C-129 [email protected] 7860 Thursday
14.00-16.00
Course Content
Modular programming and function architecture; Arrays, multidimensional arrays, and basic searching/sorting algorithms; String class, text processing, and character array operations; Pointers, memory addressing, and pointer relationships with functions and arrays; Dynamic memory allocation, memory management, Stack and Heap usage; Generic programming, Templates, and Standard Template Library (STL - vector, list, map, etc.); Recursion logic and recursive algorithm design; Introduction to Object-Oriented Programming (OOP), classes, and objects; Applied term project design and implementation.
Objectives of the Course
The objective of this course is to provide students with advanced programming concepts beyond the fundamentals, focusing on modular software development, memory management, and data structuring techniques. By covering functions, arrays, string manipulation, pointers, dynamic memory management (stack/heap), templates, Standard Template Library (STL), recursion, and an introduction to Object-Oriented Programming (OOP), the course aims to equip students with the skills to solve complex problems analytically, write memory-efficient code, and execute end-to-end software projects.
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
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. 3
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 how to develop algorithms and creates a data structure suitable for the algorithm. P.4.1 1,6
O2 Have knowledge about current programming languages. P.4.5 1,6
O3 Knows the basic elements of a computer. P.1.1 1,7
O4 Knows how to use the internet and do research. P.1.2 6,7
O5 Can perform basic mathematical analyses related to his/her profession. P.1.3 6,7
O6 Must know and use current software development platforms. P.3.2 6,7
O7 Analyzes complex problems and develops solution strategies P.3.4 6,7
O8 Tests software and fixes bugs. P.5.1 1,6,7
O9 Knows analytical, effective research and solution techniques to identify problems. P.5.2 1,6,7
O10 Evaluates alternative solutions and selects the most appropriate one. P.5.3 6,7
O11 Evaluate computer science topics and algorithms using critical thinking skills P.5.4 1,6
O12 Can develop solutions to mathematical problems P.5.6 1
O13 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. P.11.1 1,6,7
O14 Knows and uses current Information Technology platforms. P.11.2 6,7
O15 Has knowledge of current programming languages. P.11.3 1,6,7
O16 Knows and uses Object Oriented Programming Techniques. P.11.4 1,6,7
O17 Tests software and fixes bugs. P.14.1 1,6,7
** 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 Review of Programming Fundamentals and Modular Design
2 Functions: Parameter Passing, Return Values, and Overloading
3 Arrays and Basic Algorithms (Searching and Sorting)
4 String Class, Character Array Operations, and Text Manipulation
5 Pointers: Memory Addressing and Pointer Arithmetic, Pointers with Functions and Arrays
6 Dynamic Memory Management: Stack vs Heap and Memory Allocation
7 Pre-Exam Quiz and General Review
8 Mid-term Exam
9 Templates and Introduction to Generic Programming
10 Standard Template Library (STL) I: Vectors and Iterators
11 Standard Template Library (STL) II: Lists, Maps, and Algorithms
12 Recursion Logic and Recursive Algorithm Design
13 Introduction to OOP: Classes and Objects
14 Term Project Evaluations and Presentations
15 Pre-Exam Quiz and General Review
16 Final Exam
Textbook or Material
Resources Deitel, P., & Deitel, H. (2022). C++ How to Program (10th ed. or Late Objects Version). Pearson
Stroustrup, B. (2014). Programming: Principles and Practice Using C++ (2nd ed.) Addison-Wesley Professional
Prata, S. (2011). C++ Primer Plus (6th ed.). Developer's Library / Addison-Wesley
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Field Study - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects 1 20 (%)
Seminar - -
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 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 P4 P5 P11 P14
O1 Knows the basic elements of a computer. 5 - - - - -
O2 Knows how to use the internet and do research. 4 3 - - - -
O3 Can perform basic mathematical analyses related to his/her profession. 4 - - 3 - -
O4 Must know and use current software development platforms. - 5 5 - 3 -
O5 Analyzes complex problems and develops solution strategies - 4 - 5 4 -
O6 Knows how to develop algorithms and creates a data structure suitable for the algorithm. - - 5 - 5 -
O7 Have knowledge about current programming languages. - - 5 - 4 -
O8 Tests software and fixes bugs. - - - 3 - 5
O9 Knows analytical, effective research and solution techniques to identify problems. - - - 5 - 4
O10 Evaluates alternative solutions and selects the most appropriate one. - 3 - 5 - -
O11 Evaluate computer science topics and algorithms using critical thinking skills - - - 4 4 -
O12 Can develop solutions to mathematical problems - - - 4 4 -
O13 Knows how to develop algorithms and creates a data structure appropriate to the algorithm. - - 4 - 5 -
O14 Knows and uses current Information Technology platforms. - 3 4 - 5 -
O15 Has knowledge of current programming languages. - - 4 - 5 -
O16 Knows and uses Object Oriented Programming Techniques. - - 4 - 4 -
O17 Tests software and fixes bugs. - - - 3 - 5