COURSE UNIT TITLE

: ADVANCED SCIENTIFIC COMPUTING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

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/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15555
LO.25555
LO.35555
LO.45555
LO.55555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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