TR EN

ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

ADVANCED NUMERICAL ANALYSIS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EEE544 ADVANCED NUMERICAL ANALYSIS 1 3 3 6

GENERAL INFORMATION
Language of Instruction : English
Level of the Course Unit : MASTER'S DEGREE, TYY: + 7.Level, EQF-LLL: 7.Level, QF-EHEA: Second Cycle
Type of the Course : Elective
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. PERİ GÜNEŞ
Instructor(s) of the Course Unit
Course Prerequisite No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit: The aim of this course is to review the basic numerical methods in engineering and to teach advanced computational methodologies which is to be beneficial in engineering research. The course is expected to make the graduate students able to solve the complex problems such as numerical solution of differential equation, optimization and statistical analysis which are frequently encountered in graduate level research in electrical and electronics engineering
Contents of the Course Unit: To teach advanced numerical methods for engineering problems and computerized solutions.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
1. Using numerical methods in engineering 2. Applications in energy engineering 3. Computer coding of numerical methods 4. Explain different methods in order to analyze engineering problems. 5. Give approximations to understand different problems. 6. Analyze engineering problems associated with used methods.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 - Mathematical preliminaries and error analysis -
2 - Numerical solution of algebraic equations -
3 - Numerical integration methods (trapezoidal, Simpson) -
4 - Solutions of linear algebraic equation systems (direct methods) -
5 - Solutions of linear algebraic equation systems (iterative methods) -
6 - Eigenvalues evaluation -
7 - Curve fitting and interpolation polynomials -
8 - MID-TERM EXAM -
9 - Curve fitting and interpolation polynomials -
10 - Numerical method for Ordinary Differential Equations -
11 - Numerical method for Ordinary Differential Equations -
12 - Numerical approaches to optimization -
13 - Numerical approaches to optimization -
14 - Numerical Fourier approximation -
15 - Project Presentations -
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING
Steven Chapra, Raymond Canale, “Numerical Methods for Engineers”, McGraw-Hill, 7th Edition, 2015

ASSESSMENT
Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description Examination Method
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Electrical and Electronics Engineering Master's Program is a department that provides 4-year engineering graduates with advanced expertise in the field of electrical and electronics engineering. The aim of the program, which enables students to access information in the most accurate and fastest way by conducting scientific, technological and academic research; The aim is to provide students with the ability to evaluate and interpret the professional knowledge they have acquired and to produce original scientific knowledge. In this direction, our aim is to provide Electrical and Electronics Engineering Graduate Program students with knowledge and skills in areas such as scientific research techniques, wireless communication, adaptive signal processing, energy systems, renewable energy sources, remote sensing, system analysis and design.

KNOWLEDGE

Factual
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Uses theoretical and practical knowledge coming from electrical and electronics sciences, to find solutions to engineering problems.

SKILLS

Cognitive
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Designs a model related to electrical and electronics with modern techniques.

SKILLS

Practical
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Determines, detects and analyzes the areas of electrical and electronics engineering science applications and develops appropriate solutions.

OCCUPATIONAL

Autonomy & Responsibility
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.

OCCUPATIONAL

Learning to Learn
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Monitors the developments in the field of electrical and electronics engineering technologies by means of books, internet and related journals and possess the required knowledge for the management, control, development and security of information technologies.

OCCUPATIONAL

Communication & Social
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Communicates effectively by oral and/or written form and uses at least one foreign language.

OCCUPATIONAL

Occupational and/or Vocational
Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess professional and ethical responsibility and willingness to share it.
2
Possess sufficient consciousness about the universality of electrical and electronics engineering solutions and applications and be well aware of the importance of innovation.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities
Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 5 70
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 1 10 10
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 1 20 20
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 1 10 10
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 33 0 154
Total Workload of the Course Unit 154
Workload (h) / 25.5 6
ECTS Credits allocated for the Course Unit 6,0