COURSE INFORMATION Course Title: COMPLEX SYSTEMS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 802	C	99	3	2	0	4	7.5

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	This course will introduce the tools from mathematics, physics and computer science that have been used in understanding complex systems.

COURSE OUTLINE

Week	Topics
1	Introduction
2	Numerical methods and software for simulations
3	Individual vs state-based simulations
4	Random systems and processes
5	Mean-field approximations
6	Random walks and diffusion approximations
7	Chaotic motion of dynamical systems
8	Measuring Chaos
9	Self-organised critical phenomena
10	Cellular Automata
11	Sandpile and Forest fire models
12	Models of flocking
13	Many particle models
14	Self-propelled particles

Prerequisite(s):
Textbook:
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Implement simulation methods, including state-based, individual-based and cellular automata models;
2	Use mean-field and other approximations in order to increase analytic understanding of simulation results;
3	Explain methods for measuring and quantifying complex systems;
4	Explain the importance of complex systems in modern science;
5	Explain the role of computer simulations in providing understanding of such systems, while also developing an appreciation for the difficulties and limitations involved.

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Doctorate (PhD) in Computer Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	5
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	3
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	4
10	Engineering graduates with well-structured responsibilities in profession and ethics.	4
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	3
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	4	10
Project	1	60
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	16	3	48
Mid-terms			0
Assignments	4	12	48
Final examination			0
Other	1	43.5	43.5
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5