School of Engineering \ Artificial Intelligence Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Artificial Intelligence Engineering Undergraduate Program
Students are expected to realize the idea and plan they developed in BIL 495 as a working system. They work in teams and leverage modern tools and processes.
Textbook and / or References
The aim of this course is to provide students with the opportunity of putting their knowledge and practical experiences in use in the design and implementation of a single complex software/hardware system with a team of people in a systematic way.
1. Gaining application development and release experience
2. Gaining experience in presenting project activities periodically
3. Experiencing working in teams
4. Experiencing resolving team conflicts
5. Learning and experiencing the tools and processes for working effectively in teams
Week 1: Project Development Activities
Week 2: Project Development Activities
Week 3: Demo 1
Week 4: Project Development Activities
Week 5: Project Development Activities
Week 6: Demo 2
Week 7: Project Development Activities
Week 8: Project Development Activities
Week 9: Demo 3
Week 10: Project Development Activities
Week 11: Project Development Activities
Week 12: Final Demo
| Tentative Assesment Methods |
| Activities |
Number |
Weight (%) |
| Course Attendance/Participation |
- |
- |
| Laboratory |
- |
- |
| Application |
- |
- |
| Homework |
- |
- |
| Project |
1 |
100% |
| Presentation |
- |
- |
| Field Work |
- |
- |
| Internship |
- |
- |
| Course Boards |
- |
- |
| Quiz |
- |
- |
| Midterm Exam |
- |
- |
| Final Exam |
- |
- |
|
Total |
100% |
| Tentative ECTS-Workload Table |
| Activities |
Number/Weeks |
Duration (Hours) |
Workload |
| Course Hours (first 6 weeks) |
6 |
1 |
6 |
| Course Hours (last 6 weeks) |
6 |
1 |
6 |
| Laboratory |
- |
- |
- |
| Application |
- |
- |
- |
| Homework |
- |
- |
- |
| Project |
1 |
200 |
200 |
| Presentation |
- |
- |
- |
| Field Work |
- |
- |
- |
| Internship |
- |
- |
- |
| Course Boards |
- |
- |
- |
| Preparation for Quiz |
- |
- |
- |
| Preparation for Midterm Exam |
- |
- |
- |
| Final Exam |
- |
- |
- |
| Preparation for Final Exam |
- |
- |
- |
| Study Hours Out of Class (preliminary work, reinforcement, etc.) |
- |
- |
- |
| Total Workload | | |
212 |
| Total Workload / 30 | | |
212 / 30 |
| | |
7.066667 |
| ECTS Credits of the Course | | |
7 |
|
Program Outcome
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