GRADUATE SCHOOL

Ph.D. In Computer Engineering

CE 609 | Course Introduction and Application Information

Course Name
Advanced Numerical Analysis
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 609
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course is an augmented overview to the numerical analysis. The primary objective of the course is to develop the understanding of numerical algorithms and skills to implement algorithms to solve mathematical problems on the computer.
Learning Outcomes The students who succeeded in this course;
  • will be able to analyze and model complex mathematical problems.
  • will be able to create solutions for both linear and non-linear problems.
  • will be able to use iterative approaches to analysis problems.
  • will be able to produce proper algorithms to solve complex problems.
  • will be able to apply numerical methods to real world engineering applications.
Course Description Floating point arithmetic, computational linear algebra, iterative solution to nonlinear equations, iterpolation, numerical integration, numerical solution of ODEs, computer subroutine packages.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Chapter 1
2 Solving nonlinear equations Chapter 2
3 Solving nonlinear equations Chapter 2 – Lecture Notes - Applications
4 Solving a system linear equations Chapter 3
5 Solving a system linear equations Chapter 3– Lecture Notes – Applications
6 Curve Fitting and Interpolation Chapter 4
7 Curve Fitting and Interpolation Chapter 4– Lecture Notes – Applications
8 Numerical differentioation Chapter 5
9 Numerical differentioation Chapter 5– Lecture Notes – Applications
10 Numerical integration Chapter 6
11 Numerical integration Chapter 6– Lecture Notes – Applications
12 Ordinary differential equations’ problems Chapter 7– Lecture Notes – Applications
13 Ordinary differential equations’ problems Chapter 8– Lecture Notes – Applications
14 Review Lecture Notes - Applications
15 Review Lecture Notes - Applications
16 -

 

Course Notes/Textbooks Applied Numerical Methods for Engineers and Scientists, Singiresu Rao, Pearson, 2001, ISBN13: 9780130894809 Numeriacal Methods - An introduction with Applications Using MATLAB, Amos Gilat, Vish Subramaniam, Wiley, 2011, ISBN13: 978047087374-8
Suggested Readings/Materials Lecture Notes

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
4
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
2
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
8
128
Field Work
0
Quizzes / Studio Critiques
20
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
22
22
Final Exam
1
27
27
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Understands and applies the foundational theories of Computer Engineering in a high level. X
2 Possesses a great depth and breadth of knowledge about Computer Engineering including the latest developments. X
3 Can reach the latest information in Computer Engineering and possesses a high level of proficiency in the methods and abilities necessary to comprehend it and conduct research with it. X
4 Conducts a comprehensive study that introduces innovation to science and technology, develops a new scientific procedure or a technological product/process, or applies a known method in a new field. X
5 Independently understands, designs, implements and concludes a unique research process in addition to managing it. X
6 Contributes to science and technology literature by publishing the output of his/her academic studies in respectable academic outlets. X
7 Interprets scientific, technological, social and cultural developments and relates them to the general public with a commitment to scientific objectivity and ethical responsibility. X
8 Performs critical analysis, synthesis and evaluation of ideas and developments in Computer Engineering. X
9 Performs verbal and written communications with professionals as well as broader scientific and social communities in Computer Engineering, by using English at least at the European Language Portfolio C1 General level, performs written, oral and visual communications and discussions in a high level. X
10 Develops strategies, policies and plans about systems and topics that Computer Engineering uses, and interprets the outcomes. X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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