ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
AIN1003 | Freshman Seminar | Fall | 1 | 0 | 1 | 1 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Must Course |
Course Level: | Bachelor |
Mode of Delivery: | E-Learning |
Course Coordinator : | Instructor MUSTAFA ÜMİT ÖNER |
Course Objectives: | The objective is to give students the main concepts of Artificial Intelligence and to introduce faculty members. |
The students who have succeeded in this course; It offers an opportunity for students to understand how to use Artificial Intelligence effectively in real world problems and what the limitations of AI are. It also allows them to work closely with a faculty member from the Department of Artificial Intelligence Engineering on a topic of interest. In this way, it is designed to intensify the intellectual experience of first year students in the field of Artificial Intelligence. |
The Freshman Seminar is a discussion-based course which helps the first-year students to adopt AI Engineering program. |
Week | Subject | Related Preparation | |
1) | Definition of Natural Intelligence and Artificial Intelligence | ||
2) | Mathematical Definition of and Brief History of Artificial Intelligence | ||
3) | Intelligent Agents and Problem Solving By Searching | ||
4) | Intelligent Agents and Problem Solving By Searching | ||
5) | Game Playing and Adversarial Search | ||
6) | Computer Vision and Artificial Neural Networks | ||
7) | Computer Vision and Artificial Neural Networks | ||
8) | Introduction to Machine Learning | ||
9) | Introduction to Deep Learning; MIDTERM EXAM | ||
10) | Applications of Deep Learning | ||
11) | AI Projects in Turkey | ||
12) | AI Projects in the world | ||
13) | Intelligence vs. Extelligence | ||
14) | Cyber Society and Ethics |
Course Notes: | Stuart Russell, Peter Norvig, "Artificial Intelligence: A Modern Approach" (3rd Edition), Prentice Hall, ISBN-10: 0-13-604259-7, 2010. |
References: | Stuart Russell, Peter Norvig, "Artificial Intelligence: A Modern Approach" (3rd Edition), Prentice Hall, ISBN-10: 0-13-604259-7, 2010. |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | % 0 | |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | % 0 | |
Presentation | % 0 | |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 1 | % 30 |
Preliminary Jury | % 0 | |
Final | 1 | % 70 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 1 | 14 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 0 | 0 | 0 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 6 | 6 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 14 | 14 |
Total Workload | 34 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | 5 |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | 5 |
5) | Select and use modern techniques and tools necessary for engineering applications. | 5 |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | 5 |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | 5 |
8) | Access information via conducting literature research, using databases and other resources | 5 |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | 5 |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | 5 |
13) | Have a sense of professional and ethical responsibility. | 5 |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. | 5 |