COMPUTER ENGINEERING (ENGLISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5012 Numerical Methods in Engineering Fall 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ZAFER İŞCAN
Course Lecturer(s): Dr. Öğr. Üyesi MUSTAFA EREN YILDIRIM
Course Objectives: Teaching numerical methods to engineering students

Learning Outputs

The students who have succeeded in this course;
1. Understanding the systems of linear algebraic equations.
2. Learning interpolation and curve fitting.
3. Learning roots of equations.
4. Learning numerical differentiation
5. Learning numerical integration
6. Solving numerical problems using software

Course Content

Systems of linear algebraic equations, interpolation and curve fitting, roots of equations, numerical differentiation, numerical integration, solving numerical problems using software

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Numerical Methods in Engineering
2) Introduction to programming
3) Systems of Linear Algebraic Equations: Gauss Elimination Method
4) Systems of Linear Algebraic Equations: LU decomposition
5) Systems of Linear Algebraic Equations: Matrix Inverse
6) Interpolation
7) Curve Fitting
8) Roots of Equations
9) Numerical differentiation
10) Numerical Integration
11) Initial Value Problems
12) Boundary Value Problems
13) Symmetric Matrix Eigenvalue Problems
14) Introduction to Optimization

Sources

Course Notes: Jaan Kiusalaas, Numerical Methods in Engineering with Python 3, 3rd Edition
References: 1. Steven C. Chapra, Applied Numerical Methods with MATLAB® for Engineers and Scientists, Fourth Edition.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 1 % 20
Presentation 1 % 20
Project 0 % 0
Seminar 0 % 0
Midterms 1 % 20
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 1 30 30
Project 0 0 0
Homework Assignments 1 30 30
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 1 1
Paper Submission 0 0 0
Jury 0 0 0
Final 1 1 1
Total Workload 202

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Define and manipulate advanced concepts of Computer Engineering
2) Use math, science, and modern engineering tools to formulate and solve advenced engineering problems
3) Notice, detect, formulate and solve new engineering problems.
4) Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results
5) Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study
6) Work effectively in multi-disciplinary research teams
7) Acquire scientific knowledge
8) Find out new methods to improve his/her knowledge.
9) Effectively express his/her research ideas and findings both orally and in writing
10) Defend research outcomes at seminars and conferences.
11) Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc.
12) Demonstrate professional and ethical responsibility.
13) Develop awareness for new professional applications and ability to interpret them.