Mechatronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 15510002 | Algorithms and Programming | 2025 | Autumn | 1 | 2+1+0 | 2 | 3 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| 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) | Asst. Prof. Atakan DAŞDEMİR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Atakan DAŞDEMİR | A-127 | [email protected] | 7479 | Thursday 09:00-10:00 |
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 | |
| 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 |
|---|---|---|
| P2 | Ability to identify, formulate and solve complex Mechatronics Engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
| P6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Ability to know number systems | P.2.10 | 1 |
| O2 | Ability to understand the basic terminologies used in computer science | P.2.24 | 1 |
| O3 | Algorithm | P.2.60 | 1 |
| O4 | Algorithm development knowledge and creating the appropriate data structure for the algorithm | P.2.61 | 1 |
| O5 | Knowledge of algorithm design and analysis techniques. | P.3.17 | 1 |
| O6 | Knowledge of at least one structured programming language. | P.3.19 | 1 |
| O7 | Ability to know the classes of programming languages | P.5.10 | 1 |
| O8 | Ability to write, compile and debug in C programming language | P.6.7 | 1 |
| ** 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 | Basic Concepts |
| 2 | Algorithm Design and Flowcharts |
| 4 | Introduction to Programming Languages |
| 5 | Writing, Compiling, and Running a C Program |
| 6 | Relational and Logical Operators and Conditional Statements |
| 7 | Midterm Exam Preparation |
| 8 | Midterm Exam |
| 9 | Loops |
| 10 | Functions |
| 11 | Debugging |
| 12 | One-Dimensional / Two-Dimensional Arrays |
| 13 | String Class and String Operations |
| 14 | Final Exam Preparation |
| 16 | Final Exam |
Textbook or Material
| Resources | C How to Program, H. M. Deitel and P. J. Deitel, Prentice Hall, 5th (or above) edition. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 4 | 56 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 27 | 27 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| 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 | 27 | 27 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 152 | ||
| Total Work Load / 30 | 5,07 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P3 | P5 | P6 |
|---|---|---|---|---|---|
| O1 | Ability to know number systems | 5 | - | - | - |
| O2 | Ability to understand the basic terminologies used in computer science | 5 | - | - | - |
| O3 | Algorithm | 5 | - | - | - |
| O4 | Algorithm development knowledge and creating the appropriate data structure for the algorithm | 5 | - | - | - |
| O5 | Knowledge of algorithm design and analysis techniques. | - | 5 | - | - |
| O6 | Knowledge of at least one structured programming language. | - | 5 | - | - |
| O7 | Ability to know the classes of programming languages | - | - | - | 5 |
| O8 | Ability to write, compile and debug in C programming language | - | - | - | 5 |