ACADEMICS
Course Details
ELE 122 Computers and Programming Laboratory
2019-2020 Spring term information
The course is open this term
| Supervisor(s): | Dr. S. Esen Yüksel Dr. İsmail Uyanık | |
| Assistant(s): | Sefa Küçük Emre Efendi Furkan Ülger Yeter Şekertekin | |
| Place | Day | Hours |
|---|---|---|
| - | ||
Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.
Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://akts.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 25/03/2020.
ELE122 - COMPUTERS and PROGRAMMING LABORATORY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| COMPUTERS and PROGRAMMING LABORATORY | ELE122 | 2nd Semester | 0 | 3 | 1 | 2 |
| Prerequisite(s) | None | |||||
| Course language | English | |||||
| Course type | Must | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Question and Answer Experiment Other: This course must be taken together with "ELE 120 Computers and Programming II" course. | |||||
| Instructor (s) | Faculty members | |||||
| Course objective | The main objectives of the course are solving various problems with the high level programming language they learn in the "ELE 120 Computers and Programming II" course, acquiring the capability to apply the necessary programming and algorithmic tools to the specific problems and being able to detect and fix potential bugs in the code. | |||||
| Learning outcomes |
| |||||
| Course Content | Program analysis. Problem solving. Algorithm development. Implementation of algorithms as programs. Debugging programs. | |||||
| References | Experiment Notes. Textbooks of the corresponding concurrent course. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to programming software. |
| Week 2 | Preliminary work (report etc.) for Experiment 1 |
| Week 3 | Experiment 1: Basic data types, input/output features. |
| Week 4 | Preliminary work (report etc.) for Experiment 2 |
| Week 5 | Experiment 2: Functions and file operations. |
| Week 6 | Preliminary work (report etc.) for Experiment 3 |
| Week 7 | Experiment 3: Comparison procedures. |
| Week 8 | Preliminary work (report etc.) for Experiment 4 |
| Week 9 | Experiment 4: Loops and nested loops. |
| Week 10 | Preliminary work (report etc.) for Experiment 5 |
| Week 11 | Experiment 5: Multidimensional arrays or lists. |
| Week 12 | Preliminary work (report etc.) for Experiment 6 |
| Week 13 | Experiment 6: Dynamic data structures. |
| Week 14 | Study week |
| Week 15 | Preparation for the final exam |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 6 | 60 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 6 | 60 |
| Percentage of final exam contributing grade succes | 1 | 40 |
| Total | 100 | |
Workload and ECTS calculation
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 0 | 0 | 0 |
| Laboratory | 6 | 3 | 18 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 6 | 4 | 24 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 12 | 12 |
| Total Workload | 13 | 19 | 54 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline. | X | ||||
| 2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions. | X | ||||
| 3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods. | X | ||||
| 4. PO4. Designs a system under realistic constraints using modern methods and tools. | X | ||||
| 5. PO5. Designs and performs an experiment, analyzes and interprets the results. | X | ||||
| 6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member. | X | ||||
| 7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. | X | ||||
| 8. PO8. Performs project planning and time management, plans his/her career development. | X | ||||
| 9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. | X | ||||
| 10. PO10. Is competent in oral or written communication; has advanced command of English. | X | ||||
| 11. PO11. Has an awareness of his/her professional, ethical and social responsibilities. | X | ||||
| 12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. | X | ||||
| 13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest