HOME INSTITUTIONAL INFORMATIONINFORMATION ON DEGREE PROGRAMMES Communication and DesignCERTIFICATE PROGRAMMESUSEFUL INFORMATION, RESOURCES & SERVICES FOR STUDENTSUSEFUL LINKS AND DOCUMENTSADITIONAL & SUPPORTING INFORMATION

SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
60612METOS-ILT0125 Artificial Intelligence and AR Applications in Design 3 Fall 2 1 3 4
Course Type : Departmental Elective
Cycle: Bachelor      TQF-HE:6. Master`s Degree      QF-EHEA:First Cycle      EQF-LLL:6. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: Face to face
Name of Coordinator: Profesör Dr. PINAR SEDEN MERAL
Dersin Öğretim Eleman(lar)ı:
Dersin Kategorisi: Programme Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The aim of the artificial intelligence and current approaches course is to discuss the changes created by artificial intelligence in human life and in the world of communication.
Course Content: Within the scope of the course, artificial intelligence, AR applications, new approaches, applications in this field will be discussed.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Define the basic concepts of artificial intelligence
  2) Explain the basic principles of artificial intelligence
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Be able to associate artificial intelligence with advertising applications
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) lesson orientation
2) Artificial intelligence concept
3) Artificial intelligence concept
4) artificial intelligence applications
5) artificial intelligence applications
6) artificial intelligence application areas
7) artificial intelligence application areas
8) Midterm
9) Introduction to AR concept
10) AR Applications
11) AR Applications
12) project presentations
13) project presentations
14) general evaluation
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Russell, S. and Norvig, P. 2010. Artificial Intelligence: A Modern Approach. 3rd edition. Pearson.
References: Jones, M.T. 2008. Artificial Intelligence: A Systems Approach. 1st edition. Jones and Barlett Publishers.
Makine Öğrenmesi: Teorisi ve Algoritmaları, Metin Bilgin.
Yapay Zeka, Atın Yılmaz, Kodlab Yayınları.
Ford, M. (2018). Robotların Yükselişi: Yapay Zekâ ve İşsiz Bir Gelecek Tehlikesi,(çev. Cem Duran). Kronik Kitap, İstanbul.
Artificial Intelligence, Patrick H. Winston, Addison-Wesley,

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4 KPLO 5
1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 5 6 7 8 9 10 11 12
CLO1
CLO2
CLO3

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Uses theoretical and applied knowledge in communication sciences and communication design related areas in coordination. 5
2) Determine the structure and direction of the relationship between communication, design, art, society and the individual. 5
3) Designs the project cycle in the field of communication design. 5
4) Apply the theoretical knowledge learned in business life for a semester. 5
5) Gains advanced competencies that develop in line with the expectations of the business world and society and define as the institutional outputs of our university. 5

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1 CLO2 CLO3
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Homework Assignments 2 % 20.00
Midterms 1 % 30.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 0 0 0
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 2 40 80
Total Workload of Teaching & Learning Activities - - 80
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 0 0 0
Midterms 1 5 5
Semester Final Exam 1 10 10
Total Workload of Assesment & Evaluation Activities - - 15
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 95
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 4