• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MTH 2014 CALCULUS IV COMPULSORY 4 0 0 4

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÜLTER BUDAKÇI

Offered to

Textile Engineering

Course Objective

To teach basic mathematical concepts and the methods of numerical analysis for engineering education

Learning Outcomes of the Course Unit

1   To learn the numerical analysis, the error of calculations 2   To learn exact and approximate methods of solution of linear systems of equations 3   To calculate the largest and smallest eigenvalues 4   To find numerical solutions of nonlinear equations 5   To learn finite differences, interpolation calculations and curve fitting 6   To calculate the numerical differentiation and integration, 7   To learn approximate solutions of ordinary differential equations

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic informations related to numerical analysis, error in computations 2 Systems of Linear Equations: Exact and Approximate solution methods 3 Eigenvalues and eigenvectors. The computations of the largest and the smallest eigenvalues 4 Solutions of nonlinear equations: Bisection and Tangent (Newton-Raphson) Methods 5 Numerical solutions of nonlinear equations with the secant, fixed point and functional approach methods 6 Midterm Exam 7 Finite Differences: Difference Tables 8 Polinomial interpolation and inverse interpolation 9 Least Squares Method: Curve fitting 10 Numerical Differentiation 11 Numerical Integration 12 Midterm Exam 13 Approximate solutions of Ordinary Differential Equations 14 Approximate solutions of initial value and boundary value problems

Recomended or Required Reading

1. Bulut, S.A. 2000,Sayısal Çözümleme, DEU. Müh. Yay., Izmir 2. Johnson, L. W. and Riess, R. D., 1982, Numerical Analysis, 2nd Edition, Addison Wesley, New York. 3. Buchanan, J. L. And Turner, P. R., 1992,Numerical Methods and Analysis, McGraw-Hill, New York,.

Planned Learning Activities and Teaching Methods

Lectures and examples in the class

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE 1 MIDTERM EXAM 1 2 MTE 2 MIDTERM EXAM 2 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE 1 * 0.30 + MTE 2 * 0.30 + FIN * 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.30 + MTE 2 * 0.30 + RST * 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Course outcomes 1 , 2, 3 and 4 will be checked by the 1.th Mid-term exam, Course outcomes 5 and 6 will be checked by the 21.th Mid-term exam, Course outcomes 7 and 1-6 will be checked by the Final exam questions.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

suleyman.safak@deu.edu.tr Phone: 3017527

Office Hours

Thursday, Time: 09.00 to 16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 4 52 Preparations before/after weekly lectures 13 1 13 Preparation for midterm exam 2 10 20 Preparation for final exam 1 15 15 Midterm 2 2 4 Final 1 2 2 TOTAL WORKLOAD (hours) 106

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 LO.1 5 4 5 3 4 LO.2 5 4 5 3 4 LO.3 5 4 5 3 4 LO.4 5 4 5 3 4 LO.5 5 4 5 3 4 LO.6 5 4 5 3 4 LO.7 5 4 5 3 4