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

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