COURSE UNIT TITLE

: SCIENTIFIC COMPUTING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3110 SCIENTIFIC COMPUTING ELECTIVE 3 0 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR EMEL KURUOĞLU KANDEMIR

Offered to

Computer Science

Course Objective

The aim of the lecture is to teach how to design and test the scientific computing using Matlab/Octave and to solve scientific computing problems from a variety of disciplines including physics, chemistry, biology, computer science, and math. Topics to be covered include plotting, curve fitting, image processing, optimization, integration, differentiation, statistical analysis, Ordinary Differential Equations (ODE) solving, and simulation.

Learning Outcomes of the Course Unit

1   Identifying the scientific problems that can be solved using Matlab/Octave.
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, Matlab and Octave 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 Statistics in Matlab/Octave
8 Mid-term exam
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(s): Quarteroni, A., Saleri, F., Gervasio, P., Scientific Computing with MATLAB and Octave, Springer, 3rd edition, Sep. 10, 2010, ISBN-10: 3642124291, ISBN-13: 978-3642124297.

Supplementary Book(s): 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 and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

emel.kuruoglu@deu.edu.tr
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 13 3 39
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 20 20
Preparation for final exam 1 22 22
Preparing assignments 2 15 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.142335
LO.242335
LO.3423423335
LO.4423423335
LO.5423423335

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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