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
POV3437	Storyboard	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 :	Prof. Dr. NAZLI EDA NOYAN CELAYİR
Recommended Optional Program Components:	POV 2525 Concept Dev. And Visualization POV 2344 Cinematography POV 3341 Visual Storytelling POV 4337 Picture Theory POV 4111Graduation Project I POV 4112 Graduation Project II
Course Objectives:	This course deals with the storyboard which is the last stage before the shooting of an actual film ( reel film, animation or advertisement). The students will be familiar with the basic concepts and terminology of the storyboard and will have the opportunity to do applications.

Learning Outcomes

The students who have succeeded in this course;
I. To visualize concepts.
II. To be able to understand the language of the visual design and have the ability to do applications.
III. To prepare drafts based on the script ( frame, camera, acting, connecting the frames, duration of frames, sound etc.), and to communicate these aspects visually.
IV. To be able to use different media and technologies successfully with respect to the expectations and necessities of the industry.

Course Content

Weekly Detailed Course Contents

Week

Subject

Related Preparation

Sources

Course Notes / Textbooks:	Handouts would be given weekly. Harold Whitaker and Hohn Halas, Timing for animation Focal Press Marcie Begleiter, From Word To Image Peter Ettedgui, Production Design And Art Directiob Screencraft Focal Press Treasures of Disney Animation Art Abbeville Press Publishers
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
Total		%

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.