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
VCD4147	Computational Design	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 İPEK TORUN
Course Lecturer(s):	Instructor SERKAN ŞİMŞEK
Recommended Optional Program Components:	VCD3115 - Introduction to Multimedia VCD3114 – Interactive Arts & Design
Course Objectives:	On this course, the students recognize the basics of Computational Design and design scopes of interactive media such as procedural design, algorithmic design, data visualization and code art. They develop applications of conceptual works for interactive media and study software skills to realize this projects. In addition, researches for interactive media fields is identified by the students.

Learning Outcomes

The students who have succeeded in this course;
1. Being able to solve design problems with algorithmic and computational thoughts
2. Advancing the theory and practice on computer arts
3. Advancing the theory and practice on computer programming
4. Developing the interactive design solutions
5. Preparing conceptual, entertainment, game projects.

Course Content

1. Computational Design
2. Algorithmic Design
3. CodeArt
4. Interactive Media Design
5. Experience Design
6. Procedural Sound Design
7. Aesthetics & Computation
8. Computer Art History
9. Code Basics

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to the Course. Everybody will introduce her/himself. The course will be introduced.
2)	Introduction to the Computational Design. Scopes of Computational Design.
3)	Computer Art History. Examples of Art & Design Works Announcement: HW1
4)	Code Artists. Examples of Art & Design Works. Announcement: HW2.
5)	Programming Environment & Code Basics. Introduction to the Processing Environment. Announcement: HW3.
6)	Using “Class” Structures for Design. Programming Skills for Design. Announcement: HW4.
7)	Using “Array” Structures for Design. Programming Skills for Design. Announcement: HW5.
8)	Using “Transform” Structures for Design. Programming Skills for Design. Announcement: HW6.
9)	Using “3D” Structures for Design. Programming Skills for Design. Announcement: HW7.
10)	Using “External Libraries” Structures for Design. Programming Skills for Design. Announcement: HW8.
11)	Final: Criticise Project Proposal. Developing A Design Project.
12)	Final: Project Evaluation. Developing A Design Project.
13)	Final: Project Evaluation. Developing A Design Project.
14)	Final: Project Evaluation. Developing A Design Project.

Sources

Course Notes / Textbooks:
References:	1 Algorithms for Visual Design - Kostas Terzidiz 2 Programming Interactivity - Joshua Noble 3 Making Things Talk - Tom Igoe 4 Learning Processing - Daniel Shiffman 5 Processing Creative Coding and Computational Art - Ira Greenberg 6 A Programming Handbook for Visual Designers and Artists - Casey Reas, Ben Fry

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	4	% 40
Project	1	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	56
Study Hours Out of Class	14	49
Final	2	20
Total Workload		125

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.