Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
-1YBS423Structure Intelligence3+0+03622.11.2025

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Management Information Systems
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course aims to introduce students to the fundamental concepts, methods and applications of modern Artificial Intelligence. It also aims to enable students to interpret basic AI techniques and critically evaluate their social and ethical impacts.
Course Content The course covers the definition and history of AI, followed by machine learning, deep learning, NLP, large language models, the AI ecosystem, AI agents, MLOps and responsible AI. It concludes with the geometric foundations and future directions of modern AI.
Course Methods and Techniques Lectures with visual presentations, question–answer sessions and in-class discussions, practical sessions
Prerequisites and co-requisities None
Course Coordinator Asist Prof. ÜMİT BOZOKLU
Name of Lecturers Asist Prof.Dr. Seyfettin ANMAÇ
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Artificial Intelligence: A Modern Approach (4th Edition) by Pearson. You should have automatic access to the book via Canvas’s VS Materials tab.
Yapay Zeka Kitabı, Anooshirvan Miandji, Bilgi Yayınevi, Mayıs 2024
Artificial Intelligence and Business Transformation, María Teresa Del Val Núñez et.al, Springer, 2024
Course Notes Course notes will consist of instructor-provided slides, supplementary reading lists, selected book chapters, and up-to-date academic articles and reports.
Documents Ders slaytları, ek okuma listeleri, makaleler, ödev ve proje yönergeleri dönem boyunca dijital dokümanlar olarak paylaşılacaktır.
Assignments Lecture slides, reading lists, articles, and assignment/project guidelines will be provided as digital documents throughout the semester.

Course Category
Mathematics and Basic Sciences %10
Engineering %25
Engineering Design %55
Social Sciences %20

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 30
Final examination 1 % 60
Total
2
% 90

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Assignments 1 2 2
Mid-terms 1 15 15
Practice 1 10 10
Final examination 1 25 25
Total Work Load   Number of ECTS Credits 6 164

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Bilgi 
1 Understands the principles and approaches of artificial intelligence
2 Understands the basic logic and functioning of machine learning and deep learning.
Beceri 
3 Analyzes the applications of artificial intelligence used in daily life and examines case studies at a basic level.
4 Understands the basic ideas in natural language processing, computer vision, and robotics.
Yetkinlik 
5 Identifies and explains the basic issues related to the ethical use of artificial intelligence.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction: Definition and History of Artificial Intelligence
2 Machine Learning
3 Deep Learning and Neural Networks
4 Natural Language Processing (NLP)
5 LLMs and Generative AI
6 Artificial Intelligence Ecosystem
7 Prompt Engineering
8 Midterm
9 Geometric Foundations of Modern AI
10 AI Agents
11 MLOps and Model Evaluation
12 Responsible AI: AI and Ethics
13 The Future of AI
14 Final Exam

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8
All 5 5 4 3 5 2 4 4
In1 5 5 4 3 5 2 4 4
In2 5 5 4 3 5 2 4 4
Sk3 5 5 4 3 5 2 4 4
Sk4 5 5 4 3 5 2 4 4
Co5 5 5 4 3 5 2 4 4

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  https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=265131&curProgID=5702&lang=en