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ARTIFICIAL INTELLIGENCE PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YEM407 ARTIFICIAL INTELLIGENCE 7 3 3 8

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : , TYY: + , EQF-LLL: , QF-EHEA:
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit
Instructor(s) of the Course Unit Assist.Prof. TAYLAN MARAL
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: This course aims to enable students to understand the basic logic of artificial intelligence and to help them to analyze artificial intelligence implementations for communication.
Contents of the Course Unit: Contents of the course include the subjects as in basic concepts of intelligence and artificial intelligence, new media algorithms, the role and usage of artificial intelligence in solving problems.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Memorize the types of Artificial Intelligence.
Argue the role of artificial intelligence in the vulnerabilities that may arise in the field of informatics.
Evaluate the algorithms of artificial intelligence and its effects on communication field with a critical perspective.
Foresee how Artificial Intelligence will affect the field of communication both sectorally and academically.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature Review Arise of Artificial Intelligence and basic concepts in Artificial Intelligence Lecture
2 Literature Review What is Artificial Intelligence? What is not Artificial Intelligence? Lecture & Discussion
3 Literature Review Introduction to Algorithms Lecture
4 Literature Review, Using Visual Sources New media Algorithms Lecture
5 Literature Review, Using Visual Sources Google and Facebook Algorithms Lecture & Discussion Demonstrating with sample templates
6 Using Written and Visual Sources Artificial Intelligence Usage in Media and New Media Field, Current Status and Future Predictions Lecture & Discussion
7 Literature Review Knowledge-based Tools and Logical Problem Solving Lecture & Discussion
8 - MID-TERM EXAM -
9 Literature Review Knowledge engineering: Construction of information centers and Information Production Systems as an example Lecture & Discussion
10 Literature Review, Using Written and Visual Sources Semantic Networks Lecture & Discussion
11 Literature Review, Using Written and Visual Sources Logical Framework Structure Lecture & Discussion Demonstrating with sample templates
12 Literature Review, Using Written and Visual Sources News production in Post-truth age and Artificial Intelligence Lecture & Discussion
13 Literature Review Natural language processing and Artificial Intelligence Production Form Lecture & Discussion
14 Literature Review, Using Written and Visual Sources The Usage of Artificial Intelligence in Content Production: Procedural Content Production and Regression Analysis Evaluation Lecture & Discussion & Demonstrating with samples
15 Literature Review, Using Written and Visual Sources General Revision Lecture & Discussion
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Tegmark M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. New York: Random House Audio Publishing Group
Elmas C. (2016). Yapay Zeka Uygulamalari. Ankara: Seckin Publications
Baudrillard J. (1981). Simulakrlar ve Simulasyon. Ankara: Dogu Bati Publications

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
List the history of communication, mass media, communication theories and leading theorists.
0
2
List the historical, social and cultural types of communication and explain the related concepts.
0
3
Define the important points of the history and theories of communication through daily life practices and social life.
1

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Compare the traditional media and new media economic policies.
2
2
Interpret digital culture with constantly updated and self-renewing topics.
3
3
Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.
4

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the basic concepts of communication history, communication theories, traditional and new media channels.
1

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Prepare web pages with CSS codes.
2
2
Produce creative content in new media environments, create an image and sound and practical studies about programming.
3
3
Analyze the sub-texts and their semantics of the studies presented to the society by mass media.
3
4
Use qualitative and quantitative elements to construct arguments on studies in the field of communication.
1

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Manage social media accounts of brands, corporate firms and public institutions thanks to its advanced knowledge in content production and user experience.
3

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Review local and foreign studies in the field of New Media. Creates innovative works in his/her field.
2
2
Criticize the effects of social media activities on socio-political field.
3

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Plan scientific studies in any area that can be encountered in different disciplines and transfer them to people from different disciplines.
3
2
Determine how much of the content produced by the media is right and wrong.
3

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Follows the developments that have begun to guide the present and the future such as "Software". Produce various software products for different sectors.
3
2
Design using new architectures of big data processing systems.
3
3
Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.
5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 6 78
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 1 42 42
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 40 40
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 31 0 204
Total Workload of the Course Unit 204
Workload (h) / 25.5 8
ECTS Credits allocated for the Course Unit 8,0