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
CSC 5014	ADVANCED SCIENTIFIC COMPUTING	ELECTIVE	3	0	0	8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ÇAĞIN KANDEMIR ÇAVAŞ

Offered to

Ph.D. in Computer Science (English)
Computer Science

Course Objective

The aim of the lecture is to teach how to design and test the scientific computing using MATLAB and to solve scientific computing problems from a variety of disciplines including physics, chemistry, biology, computer science, and math.

Learning Outcomes of the Course Unit

1	Identifying the scientific problems that can be solved using MATLAB.
2	Have a basic knowledge of scientific computing as an analysis tool.
3	Have ability to use scientific computing structures.
4	Have ability to design of the scientific computing problems.
5	Have ability to test of the scientific computing problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Overview, expression syntax, Matrix and Vector syntax
2	Plotting Scatterplots, 2D and 3D graphics, image handling
3	Function files and Script files
4	Loops, loop-invariants, control flow, vector-operations as loops
5	Curve fitting
6	Modeling and simulation by difference equations
7	Modelling
8	General Review
9	Ordinary Differential Equations (initial-value ODE problems)
10	Optimization (Linear programming, non-linear)
11	SVD and Principal Component Analysis
12	Partial Differential Equations
13	Image processing
14	Scientific Computing Applications

Recomended or Required Reading

TEXTBOOK :Quarteroni, A., Saleri, F., Gervasio, P., Scientific Computing with Octave, Springer, 3rd edition.
REFERENCE BOOKS : Gilat, Amos, Matlab: An Introduction with Applications, Wiley; 3rd edition, 2008. ISBN 978-0-470-10877-2.
Octave tutorial, http://www.gnu.org/ software/octave/doc/ interpreter/

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	PRS	PRESENTATION
2	FIN	FINAL EXAM
3	FCG	FINAL COURSE GRADE	PRS * 0.40 + FIN * 0.60
4	RST	RESIT
5	FCGR	FINAL COURSE GRADE (RESIT)	PRS * 0.40 + RST * 0.60

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)

cagin.kandemir@deu.edu.tr

Office Hours

will be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	3	42
Preparations before/after weekly lectures	14	3	42
Preparation for final exam	1	50	50
Project Preparation	1	40	40
Final	1	12	12
Project Assignment	1	12	12
TOTAL WORKLOAD (hours)			198

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.4	PO.5	PO.6
LO.1	5	5	5	5
LO.2	5	5	5	5
LO.3	5	5	5	5
LO.4	5	5	5	5
LO.5	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