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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CME 2208 NUMERICAL ANALYSIS COMPULSORY 3 0 0 4

Offered By

Computer Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR IBRAHIM ATAKAN KUBILAY

Offered to

Computer Engineering

Course Objective

This course is concerned with the mathematical derivation, description and analysis of obtaining numerical solutions of mathematical problems.

Learning Outcomes of the Course Unit

1   Describe the basic concepts of numerical analysis 2   Compose numerical solution of a given mathematical problem 3   Increase abiliy of reasoning and problem solving 4   Advice numerical approaches for solving problems using mathematical knowledge 5   Use methods in the field of numerical analysis for complex problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Taylor Polynomilas 2 Error 3 Root Finding 4 Fixed Point Iteration 5 Solution of System 6 LU-Factorization 7 Midterm Exam 8 Gauss Seidel and Jacobi Method 9 The Eigenvalue Problem 10 Interpolation and Approximation, Polynomial Interpolation 11 Least Square Approximation 12 Midterm Exam 13 Numerical Differentiation, Errors in Numerical Differentiation 14 Numerical Integration, Applications

Recomended or Required Reading

1. Elementary Numerical Analysis by Kendall Atkinson, Weimin Han. John Wiley & Sons Inc.Third Ed. 2. Numerical analysis , R. L. Burden, J.D. Faires,PWS-KENT Publishing Company

Planned Learning Activities and Teaching Methods

Lectures Presentation Guided problem solving Homeworks

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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. Midterm (%20) + 2. Midterm (%20) + Homework (%10) + Final exam (%50)

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

DEÜ Eng. Fac. Computer Engineering Tınaztepe campus Buca-Izmir

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 1 12 Preparing assignments 4 10 40 Preparation for final exam 1 6 6 Preparation for midterm exam 2 6 12 Final 1 2 2 Midterm 2 2 4 TOTAL WORKLOAD (hours) 112

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 LO.1 4 2 LO.2 4 5 3 LO.3 2 4 LO.4 5 3 3 2 LO.5 4 4 1 2 2 2