COURSE UNIT TITLE

: FIELD ELC. 1 (NUMERICAL ANALYSIS)

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
LMÖ 2009 FIELD ELC. 1 (NUMERICAL ANALYSIS) ELECTIVE 2 0 0 4

Offered By

Mathematics Teacher Education

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYTEN ERDURAN

Offered to

Mathematics Teacher Education

Course Objective

The aim of this course is to present theoretical knowledge about instructional metarial design and to develop the competency and skill of students' to design materials.

Learning Outcomes of the Course Unit

1   Aware of need for approximate solutions, its importance, the place in mathematics and reasons of its emerging.
2   Make sense of error types and the relationship between approximate solution and exact solution.
3   To be closely acquainted with computer's numeric system.
4   Solve the problems that have not exact solution approxiametly.
5   Gain skill of selecting and applying the best method for the confronted problem.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Emerging reason of numerical methods. Associating numerical methods with mathematical modelling
2 Errors in numerical methods
3 Numerical solution of linear and nonlinear equations, Fixed Point Iteration, Method of Bisection
4 Newton Raphson Method, Regula Falsi Method, Computer Applications
5 Müller Method, Square Root Graeffe Method
6 Numerical solution of linear equations systems, Simple Iteration Method, Gauss Seidell Iteration
7 General review, course evaluation, midterm exam
8 Numerical solution of nonlinear equations systems, Simple Iteration Method, Newton Raphson Method
9 Finite Differences, Operators
10 Interpolation
11 Lagrange Method, Aitken's Method
12 Curve Fitting, Least Squares Method, Computer applications
13 Numerical derivative, Numerical integration
14 Numerical solutions of ordinary differential equations
15 Final exam

Recomended or Required Reading

Hildebrand, F.B. (1974). Introduction to Numerical Analysis, New York: McGraw-Hill Inc.
Steven, C. C. Ve Raymond P.C. (2006). Mühendisler Için Sayısal Yöntemler, Istanbul: Literatür Yayınevi.
Tütek, H.H., Gümüşoğlu, Ş., Özdemir, A. ve Özdemir A. (2011). Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar, Istanbul: Beta Basım Yayım A.Ş.

Planned Learning Activities and Teaching Methods

Discussion, Question-Answer, Group work.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Midterm
2 FN Semester final exam
3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60
4 BUT Make-up note
5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60


Further Notes About Assessment Methods

Evaluation of students can be given in line with the learning outcomes, with 50% of the final exam including students preparing presentations.

Assessment Criteria

Assessment of students is measured by midterm and final exams in line with the learning outcomes.

Language of Instruction

Turkish

Course Policies and Rules

Seventy percent of the course is obligatory to attend.

Contact Details for the Lecturer(s)

ayten.erduran@deu.edu.tr
Cahit Arf Number 326

Office Hours

It will be announced at the beginning of the semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 2 26
Preparation for final exam 1 25 25
Preparation for midterm exam 1 20 20
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 101

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18
LO.1333
LO.244433
LO.34533
LO.445533
LO.555533

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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