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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
05110102 Algorithm and Programming I 1 Autumn 1 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. Teorik Anlatım: Konular ders kapsamında teorik olarak anlatılır. Öğrenciler programlamanın temel kavramlarını ve algoritmaların mantığını kavrayabilmeleri için konu anlatımları dinler. 2. Uygulamalı Çalışmalar: Öğrenciler, teorik olarak anlatılan konuların uygulamasını yapmak için ders eğitmeni mentorlüğünde çeşitli örneklerle çalışmalar gerçekleştirir. Kazanımlar elde edilmeye çalışılır. 3. Adım Adım Çözümleme: Karşılaşılan problemler adım adım çözülerek her adımın nasıl işlediği açıklanır. Bu yöntemle öğrencilerin konulara daha hakim olması sağlanır. 4.Gerçek Hayat Örnekleri: Konuların daha iyi anlaşılması için gerçek hayattan örnekler ve problem senaryoları sunulur. Böylece öğrenciler öğrendiklerini pratikte nasıl kullanacağını görür. 5. Laboratuvar Föyleri ve Quizler: Haftalık laboratuvar föyleri ve sınav öncesi quizler ile öğrencilerin ilerlemesi değerlendirilir, konuların anlaşılıp anlaşılmadığı takip edilir.
Mode of Delivery Face to Face
Prerequisites Dersin herhangi bir ön koşulu bulunmamaktadır. Tüm öğrencilere temel seviyeden başlanarak eğitim verilmektedir.
Coordinator -
Instructor(s) Asst. Prof. Şekip Engin MENDİ
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. 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
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
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 1,6,7
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 Must know basic programming languages ​​(Visual basic, Assembly, C) used in programming electronic systems P.1.69 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 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 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 - -
Homework 7 20 (%)
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 1 2
Homework 7 2 14
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 28 28
Other 0 0 0
Total Work Load: 178
Total Work Load / 30 5,93
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 -
O2 Solve an engineering problem, design and develop products using Electrical and Electronics knowledge and skills. 4 -
O3 Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. 4 -
O4 Must know basic programming languages ​​(Visual basic, Assembly, C) used in programming electronic systems 5 -
O5 Must know the basic elements and operating systems of computers and microprocessors and be able to select components - 5