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
The aim is for students to define the graduation project they will do in teams in the next semester and complete the first stages (needs analysis, selection of technologies to be used, provision of data sets, tools, materials, etc. to be used, general system architecture, etc.). Students will also be informed by expert guest speakers on innovative artificial intelligence applications, success stories, entrepreneurship opportunities, and technological trends.
Textbook and / or References
To create the basic knowledge infrastructure required for students to carry out their graduation projects more effectively.
1. Gaining experience in developing and launching an AI application
2. Gaining experience in developing ideas and dividing work as a team
3. Gaining experience in resolving conflicts within the team
4. Learning and experiencing the tools and processes to work effectively as a team
Week 1: Agile Project Development Process
Week 2: Version Management, Feature and Instance Tracking
Week 3: Cloud Computing Technologies, Mobile Applications, Web Applications
Week 4: Cloud Computing Technologies, Mobile Applications, Web Applications
Week 5: Cloud Computing Technologies, Mobile Applications, Web Applications
Week 6: Defining User Stories
Week 7: Application Development Activities, Project Idea Development Activities
Week 8: Application Development Activities, Project Idea Development Activities
Week 9: Application Intermediate Demos, Project Idea Presentations
Week 10: Application Development Activities, Project Idea Development Activities
Week 11: Application Development Activities, Project Idea Development Activities
Week 12: Application Demos, Project Work Plan Presentations
Tentative Assesment Methods
• Midterm Exams 15 %
• Attendance 5 %
• Homework 40 %
• Project 30 %
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