Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
CSE 5002	EVOLUTIONARY COMPUTATION	ELECTIVE	3	0	0	9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ZERRIN IŞIK

Offered to

Computer Engineering Non-Thesis
COMPUTER ENGINEERING
Biomedical Tehnologies (English)
Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Computer Engineering
Computer Engineering
Computer Engineering (Non-Thesis-Evening)

Course Objective

This course provides an introduction to how biological systems may be used for processing and storing information. Evolution and its products will be examined as bases for computing. Our primary aim is to identify candidate biological processes from which engineering lessons and perhaps even some products may be derived.

Learning Outcomes of the Course Unit

1	Identify evolution as a model for computing and design.
2	Define how information flows in biological systems.
3	Identify biological units and processes of computing.
4	Explain mathematical concepts and computing concepts which can be applied to model biological computing.
5	Develop algorithms and systems based on biological computing concepts.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Biological concepts; Evolution, Cell, DNA, RNA, Protein, Neurons
2	Introduction to bioelectricity
3	Bioelectric potentials and currents
4	Cell networks and biological information flow
5	Neural Networks and biological computational models
6	Cochlear implant, processing of audio & visual information
7	Midterm1
8	DNA and genetics
9	DNA-Based Computing
10	Theoretical aspects of computing
11	Models of Molecular Computation
12	Machine Learning and biological learning
13	Human Brain
14	Review (Midterm2)

Recomended or Required Reading

Supplementary Book(s):
Lamm Ehud, Unger Ron., Biological Computation, Chapman and Hall, 2011.
Plonsey, Robert., Barr Roger C. Bioelectricity A Quantitative Approach, Kluwer Publications, 2000.
Pevsner, Jonathan. Bioinformatics and Functional Genetics, Wiley-Liss, 2003.
Amos, Martyn. Theoretical and Experimental DNA Computation, Springer-Verlag, 2005.
Koza, John R. Genetic Programming: On the Programming of Computers by Means of Natural Selection, The MIT Press, 1992.
Goldberg, David. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.

Materials: Lecture Notes,problem sets.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	PRJ	PROJECT
2	FCG	FINAL COURSE GRADE	PRJ * 1

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr. Suleyman Sevinc
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35160 BUCA/IZMIR
Tel: +90 (232) 301 74 01
e-mail: suleyman.sevinc@cs.deu.edu.tr

Office Hours

TBA

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	39	1	39
Preparations before/after weekly lectures	13	7	91
Preparation for final exam	1	15	15
Preparation for midterm exam	2	10	20
Preparation for quiz etc.	3	3	9
Preparing assignments	4	4	16
Reading	3	7	21
Final	1	2	2
Midterm	2	2	4
Quiz etc.	3	3	9
TOTAL WORKLOAD (hours)			226

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.4	PO.5	PO.10	PO.11
LO.1	3	4	5		5	5
LO.2	3	3	5		5	5
LO.3		4	5	5	5	5
LO.4		4	5	5	5	5
LO.5		4	5	5	5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION