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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS BIL 2003 NUMERICAL ANALYSIS COMPULSORY 4 0 0 6

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR MURAT ERŞEN BERBERLER

Offered to

Computer Science

Course Objective

To teach numerical analysis concepts to solve computer science problems.

Learning Outcomes of the Course Unit

1   Have a knowledge of basic concepts of numerical analysis. 2   Be able to solve problems of numerical analysis. 3   Be able to solve computer science problems by using numerical analysis concepts. 4   Be able to design efficient algorithms by using numerical analysis concepts. 5   Be able to solve problems of different type of disciplines by using concepts of numerical analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Approximations and errors 2 The solution of nonlinear equations 3 The solution of nonlinear systems 4 The solution of linear systems Quiz 1 5 Finite differences and difference equations 6 Interpolation and polynomial approximation 7 Curve fitting 8 Mid-term exam 9 Numerical differentiation 10 Numerical integration 11 Numerical optimization 12 Solution of differential equations Quiz 2 13 Solution of partial differential equations 14 Eigenvalues and eigenvectors Numerical analysis software

Recomended or Required Reading

Textbook(s): Numerical Methods, John H. Mathews, ISBN: 0136250475. Supplementary Book(s): Numerical Methods for Engineers, Steven C Chapra, Raymond P Canale, ISBN: 0073401064.

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 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 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)

murat.berberler@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 4 52 Preparations before/after weekly lectures 12 4 48 Preparation for midterm exam 1 10 10 Preparation for final exam 1 12 12 Preparation for quiz etc. 2 6 12 Final 1 2 2 Midterm 1 2 2 Quiz etc. 2 1 2 TOTAL WORKLOAD (hours) 140

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 4 LO.2 5 5 LO.3 4 5 5 LO.4 5 5 LO.5 5 5