ACADEMICS
Course Details
ELE124 - Computer Programming
2024-2025 Fall term information
The course is not open this term
ELE124 - Computer Programming
| Program | Theoretıcal hours | Practical hours | Local credit | ECTS credit |
| Undergraduate | 3 | 0 | 3 | 5 |
| Obligation | : | Must |
| Prerequisite courses | : | - |
| Concurrent courses | : | ELE122 |
| Delivery modes | : | Face-to-Face |
| Learning and teaching strategies | : | Lecture, Question and Answer, Problem Solving. Other: This course must be taken together with "ELE 122 Computers and Programming Laboratory" course. |
| Course objective | : | First and foremost aim of the course is to teach the student an introduction to programming using C as a programming language. To do this, program analysis, different ways of writing a program and access to a conclusion, efficient program writing, written documentation of the program, the ability to write clear and uniform rules, the acquisition of the appropriate program error debugging is explained. In addition, the ability to create a modular software is aimed. Furthermore, the data structures are explained. Examples from structured programming is taught with C programming as a sample programming language. |
| Learning outcomes | : | A student who completes the course successfully, 1. Learns a high level language, 2. Models a solution to an encountered problem using a high level language, 3. Learns to solve problems in the most efficient way by knowing and understanding the techniques and algorithms of a high level language. |
| Course content | : | Programming structures and introduction to high level languages. Program analysis. Description of the problem solution. Implementation of algorithms as programs. Debugging a program. Reading and storing data. Data types. Introduction to control structures. Decision structures. Expressions, strings. Built-in functions and user defined functions. Loops and nested loop structures. Subroutines. Arrays and subscripts. Formatted output and files. Pointers. Characters, strings. Recursion. File processing. Structures, enumerations. Dynamic memory allocation. |
| References | : | Deitel P, Deitel H., C How to Program, Pearson Hanley J, Koffman E., Problem Solving and Program Design in C, Pearson. |
| Weeks | Topics |
|---|---|
| 1 | Programming structures and introduction to high level languages. First C program, memory concepts, arithmetic in C. |
| 2 | Program analysis. Description of the problem solution. Pseudocode, If-elseselection statements, whileiteration statements. |
| 3 | for, switch, do...while, breakand continuestatements. |
| 4 | Functions. Modular programming and header files. |
| 5 | Arrays |
| 6 | Pointers |
| 7 | Pointers |
| 8 | Midterm |
| 9 | Recursion |
| 10 | C characters and strings |
| 11 | C formatted input and output |
| 12 | File processing |
| 13 | Structures, enumerations |
| 14 | Dynamic memory allocations, redirecting input/output |
| 15 | Preparation for the final exam |
| 16 | Final exam |
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Quiz | 0 | 0 |
| Midterms | 1 | 40 |
| Final exam | 1 | 60 |
| Total | 100 | |
| Percentage of semester activities contributing grade success | 40 | |
| Percentage of final exam contributing grade success | 60 | |
| Total | 100 | |
| Course activities | Number | Duration (hours) | Total workload |
|---|---|---|---|
| Course Duration | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, etc.) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Midterms (Study Duration) | 1 | 18 | 18 |
| Final Exam (Study duration) | 1 | 20 | 20 |
| Total workload | 30 | 46 | 150 |
| Key learning outcomes | Contribution level | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1. | Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | |||||
| 2. | Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | |||||
| 3. | Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | |||||
| 4. | Designs a system under realistic constraints using modern methods and tools. | |||||
| 5. | Designs and performs an experiment, analyzes and interprets the results. | |||||
| 6. | Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | |||||
| 7. | Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | |||||
| 8. | Performs project planning and time management, plans his/her career development. | |||||
| 9. | Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | |||||
| 10. | Is competent in oral or written communication; has advanced command of English. | |||||
| 11. | Has an awareness of his/her professional, ethical and social responsibilities. | |||||
| 12. | Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | |||||
| 13. | Is innovative and inquisitive; has a high level of professional self-esteem. | |||||
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest