Electrical and Electronics Engineering
Course Details

KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
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
-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.
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 |
