| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- gain preliminary experience on all the work required for system analysis and main design,
- gain the ability to identify, describe, model and solve complex real-life problems through examples by taking into account the "United Nations Sustainable Development Goals",
- gain the ability to use the knowledge and skills acquired in other courses together on the encountered problems,
- acquire written and verbal reporting and presentation skills,
- gain Project Management, Change and Risk Management experience through team work.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | It covers a series of preparatory studies that provide hands-on experience of every stage of the Graduation Project studies by working on sample project studies under the supervision of an instructor for independent research and practice, such as problem identification, definition, modeling and solution, literature research and establishing and developing a Decision Support System. The sample projects worked on are selected from real systems. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Research Projects: Systems Analysis Tools, |
|
2nd Week |
Applied Lab Training: Data analysis Minitab/Easyit/Excel, |
|
3rd Week |
Problem Approach Alternatives: Complex Problem Definition, |
|
4th Week |
Literature Review and Source Research, |
|
5th Week |
Model Development: Verification/Validation with artificial data, |
|
6th Week |
Applied Lab Training: Model Solution Cplex/ARENA, |
|
7th Week |
Solution Methodologies: Exact and Heuristic Methods, |
|
8th Week |
Midterm exam consists of Knowledge Test and Model Development Application, |
|
9th Week |
Development of Decision Support System, |
|
10th Week |
Applied Lab Training: Microsoft Power Platform I / VBA / Python, |
|
11th Week |
Applied Lab Training: Microsoft Power Platform II / VBA / Python, |
|
12th Week |
Academic Poster Preparation Techniques(Poster Application: Project Poster), |
|
13th Week |
Final Presentation Application: Preparation of Project Presentation Material and Project Presentation, |
|
14th Week |
Final Presentation Application: Preparation of Project Presentation Material and Project Presentation. |
|
| Recommended or Required Reading | |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Practice
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
10 |
| Practice |
1 |
20 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
15 |
15 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
15 |
15 |
| Laboratory (including preparation) |
14 |
1 |
14 |
| Final exam |
1 |
2 |
2 |
| Homework |
5 |
5 |
25 |
| Total Work Load | 142 |
| Total Work Load / 30 (h) | 4.73 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
