Course Name Code Semester T+U Hours Credit ECTS
Artificial Intelligence YBS 413 7 2 + 0 2 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ÇAĞLA EDİZ
Course Lecturers Dr.Öğr.Üyesi ÇAĞLA EDİZ,
Course Assistants
Course Category
Course Objective It is aimed to help students have an idea about basic techniques and mechanisms of artifical intelligence. Those who have taken this course will be able to understand the conceptual and historical development of AI, the aims of AI and the methods to achieve them, and to analyse the problems using AI techniques and know exactly where to implement these techniques with a high-skill.
Course Content Intelligence, artificial intelligence concept, information, learning, inference, searching methods of AI, information based systems, engineering applications for AI.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To define the subject of AI
2 To give examples for AI applications
3 To express why AI used in engineering
4 To know search techniques and give samples
5
Week Course Topics Preliminary Preparation
1 Introduction to AI
2 Properties of the intelligent systems
3 Search algorithms
4 Representation of the information
5 Expert system
6 Inference
7 Expert system shell
8 MID TERM EXAM
9 Intelligent system applications
10 Learning
11 Artificial neural network and program representation
12 Artificial neural network applications
13 Fuzzy logic mathematic
14 Fuzzy logic applications
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Can follow new and current technologies and evaluate them X
2 Can understand the operation of Corporate Information Systems and use these systems at a basic level X
3 Constructs numerical models of basic business problems. X
4 Solves modeled business problems with the help of information technologies and interprets the solutions X
5 Contributes to informatics oriented projects as a member of the team X
6 Effectively uses information technology tools that support teamwork in project management. X
7 Master basic business functions and information technologies and establishes the link between them X
8 Contributes to the design, development and implementation processes of corporate information systems. X
9 Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects. X
10 Prepares informative, effective and interesting presentations and presents these presentations. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Ödev 10
2. Ödev 10
3. Ödev 10
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 20 20
Final examination 1 15 15
Total Workload 119
Total Workload / 25 (Hours) 4.76
dersAKTSKredisi 5