Türkçe English Rapor to Course Content
COURSE SYLLABUS
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
1 Course Title: INTRODUCTION TO ARTIFICIAL INTELLIGENCE
2 Course Code: BLPS247
3 Type of Course: Optional
4 Level of Course: Short Cycle
5 Year of Study: 2
6 Semester: 3
7 ECTS Credits Allocated: 3
8 Theoretical (hour/week): 2
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: None
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Öğr. Gör. KORAY AKİ
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: korayaki@uludag.edu.tr, +90(224)2942674 – Dahili: 62141,
Bursa Uludağ Üniversitesi Orhangazi Y. Asil Çelik MYO Bilgisayar Programcılığı Programı-Orhangazi/Bursa
18 Website:
19 Objective of the Course: The aim of this course is to provide students the knowledge about the basic techniques and methodologies of artificial intelligence and abilities to apply artificial intelligence methods on practical problems.
20 Contribution of the Course to Professional Development
21 Learning Outcomes:
1 Introduces Artificial Intelligence concepts.;
2 Gains knowledge about the basic methodologies in artificial intelligence.;
3 It introduces the necessary tools to create the formulation of Artificial Intelligence problems.;
4 Study the tools and structures necessary to design intelligent agent systems.;
5 It introduces the necessary tools for solving problems depending on the nature of the problem and the search space.;
22 Course Content:
Week Theoretical Practical
1 Fundamentals of Artificial Intelligence
2 Intelligence Agents
3 Problem Solving and Blind Search
4 Heuristic Search
5 Local Search
6 Adversarial Search
7 Game Theory
8 Midterm
9 Application Problems
10 Knowledge Representation and Inference
11 Expert Systems
12 Machine Learning
13 Artificial Neural Network
14 Robot Science
23 Textbooks, References and/or Other Materials: Artificial Intelligence: A Modern Approach (3rd Edition), Stuart Russell, Peter Norvig, Prentice Hall, 2010
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 2 28
Practicals/Labs 0 0 0
Self Study and Preparation 14 2 28
Homeworks, Performances 0 2 28
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 3 3
Others 0 0 0
Final Exams 1 3 3
Total WorkLoad 90
Total workload/ 30 hr 3
ECTS Credit of the Course 3
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11
LO1 2 4 2 5 3 3 3 2 2 2 2
LO2 0 0 0 0 0 0 0 0 0 0 0
LO3 0 0 0 0 0 0 0 0 0 0 0
LO4 0 0 0 0 0 0 0 0 0 0 0
LO5 0 0 0 0 0 0 0 0 0 0 0
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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