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
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

ASSOCIATE PROFESSOR ÇAĞIN KANDEMIR ÇAVAŞ

Offered to

Computer Science
Ph.D. in Computer Science

Course Objective

The aim of the lecture is to teach how to design and test the scientific computing using Octave 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 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, 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 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
15 Final Examination

Recomended or Required Reading

TEXTBOOK :Quarteroni, A., Saleri, F., Gervasio, P., Scientific Computing with Octave, Springer, 3rd edition.
REFERENCE BOOKS : 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 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Mid Term: 30%
Assignment/Presentation: 20%
Final Exam: 50%

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 12 1 12
Preparation for midterm exam 1 48 48
Preparation for final exam 1 48 48
Preparing assignments 4 9 36
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15554
LO.2555
LO.35555
LO.4555
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

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS