Course Name Code Semester T+U Hours Credit ECTS
Numerical Analysis MAT 217 3 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Öğr.Gör.Dr. YÜKSEL YURTAY
Course Lecturers Öğr.Gör.Dr. YÜKSEL YURTAY,
Course Assistants
Course Category
Course Objective Aim of this course is to teach numeric solutions methods and algorithms to solve engineering problems by using computer.
Course Content Importance of the algorithm on the numerical calculations. Subunits of the algorithms. Matrix and matrix calculations. Solution methods of the linear equations systems. Solution methods of the nonlinear equations systems. Curve fitting methods, interpolation methods and extrapolation methods. Numerical methods of derivation. Numerical methods of integration. Numerical methods of differantation equations. Compleks numbers.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand the differences between solving a problem by hand and by using computer Lecture, Drilland Practice, Problem Solving, Testing, Homework,
2 Understand numeric solution methods absolutely have a structure of the algorithm. Lecture, Group Study, Problem Solving, Project Based Learning, Testing, Homework, Performance Task,
3 Comprehend the concept that, it is very important the computers languages on the engineering applications. Lecture, Problem Solving, Testing,
Week Course Topics Preliminary Preparation
1 Introduction to numerical analysis. Logical of the algorithm.
2 Forming of algorithm and introduce of subunits of algorithm.
3 Matrix and matrix calculations.
4 Matrix and matrix calculations (continue).
5 Solution methods of the linear equations systems.
6 Solution methods of the nonlinear equations systems.
7 Solution methods of the nonlinear equations systems (continue).
8 Curve fitting methods, interpolation methods and extrapolation methods.
9 Curve fitting methods, interpolation methods and extrapolation methods (continue).
10 Numerical methods of integration.
11 Numerical methods of derivation.
12 Numerical methods of differantation equations.
13 Numerical methods of differantation equations (continue).
14 Complex numbers.
Course Notes [1] adresinde yayınladığım indirilebilir ders malzemeleri
Course Resources [2] Bilgisayar uygulamalı sayısal analiz yöntemleri, E.Sabri Türker, Engin Can, Değişim yayınları.
[3] Practical numerical analysis, Gwyne Evans, John Wiley&Sons, 1995.
[4] Mühendisler için sayısal yöntemler, S.C.C,R.P.C (çeviri)-H.Heperkan, U.Keskin Literatür, 2003
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 10
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 4 4
Assignment 1 4 4
Final examination 1 10 10
Total Workload 114
Total Workload / 25 (Hours) 4.56
dersAKTSKredisi 5