ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
POV4115	Contemporary Video Practices	Spring	2	2	3	5

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi TOLGA HEPDİNÇLER
Course Lecturer(s):	Dr. Öğr. Üyesi TOLGA HEPDİNÇLER
Recommended Optional Program Components:	None
Course Objectives:	This course aims at providing the students with an in depth review, study and practice in Video-Art production. Students will receive information about the historical evolution and contemporary practices of Video-Art movement.

Learning Outcomes

The students who have succeeded in this course;
1. Analyze Video Art practices, artists and methodologies.
2. Develop and expand an individualized approach to art making,
3. Show dexterity on technical issues of video making.
4. Categorize and compare the current topics on Video Art production
5. Distinguish narrative possiblities of Video-Art fron the other forms of visual narratives.
6. Produce Video-Art works within the concepts and contexts in former and current issues of the form.

Course Content

Early and new methods of video-production will be exemplified and discussed. Effect of digital media on Video-Art forms will be identified. Students will be expected create works on given topics and contexts.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Mainstream Issues in Video Production
2)	Effects of Technology and change in video media.	Weekly readings will be assigned.
3)	Issues of Video-Art I: Body (Femininity)	Weekly readings will be assigned.
4)	Issues of Video-Art II: Body (Masculinity, Homosexuality)	Weekly readings will be assigned.
5)	Issues of Video-Art III: Identity (Class. Ethnicity. Race)	Assignmet 1
6)	Review for midterm exam	Weekly readings will be assigned.
7)	Issues of Video Art IV: Self (Amateurism, Video Confession)	Assignmet 2
8)	Video Art on Television	Weekly readings will be assigned.
9)	Video Art on Digital Age and Interactivity	Weekly readings will be assigned.
10)	Issues of Video Art: Reconstruction of the past (Found Footages, Appropriation and their ethical issues)	Assignment 3
11)	Video out of Screen: Video Intallations and Video Sculpture	Weekly readings will be assigned.
12)	Ideas for Final Projects	Weekly readings will be assigned.
13)	Preparation for Final Projects	Working on the final project.
14)	Assessment for final projects	Working on the final project.

Sources

Course Notes / Textbooks:	1. Elwes, C. (2005). Video art a guided tour. London New York London New York: I.B. Tauris In Association with University of the Arts In the United States of America and in Canada distributed by Palgrave Macmillan. 2. Fifer, S. & Hall, D. (1990). Illuminating video : an essential guide to video art. New York, N.Y: Aperture in association with the Bay Area Video Coalition.
References:	1. Rees, A. (1999). A history of experimental film and video : from canonical avant-garde to contemporary British practice. London: BFI Publishing. 2. Renov, M. & Suderburg, E. (1996). Resolutions : contemporary video practices. Minneapolis, Minn: University of Minnesota Press.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	3	% 45
Midterms	1	% 15
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	4	56
Study Hours Out of Class	13	5	65
Presentations / Seminar	1	1	1
Homework Assignments	2	4	8
Midterms	1	1	1
Final	1	1	1
Total Workload			132

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.