Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Numerıcal Analysıs MAT 217 3 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Öğr.Gör.Dr. YÜKSEL YURTAY
Dersi Verenler Öğr.Gör.Dr. YÜKSEL YURTAY,
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı Aim of this course is to teach numeric solutions methods and algorithms to solve engineering problems by using computer.
Dersin İçeriği 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.
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
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,
Hafta Ders Konuları Ön Hazırlık
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.
Kaynaklar
Ders Notu [1]http://cs.sakarya.edu.tr/yyurtay adresinde yayınladığım indirilebilir ders malzemeleri
Ders Kaynakları [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
Sıra Program Çıktıları Katkı Düzeyi
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
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 10
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
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
Toplam İş Yükü 114
Toplam İş Yükü / 25 (Saat) 4,56
Dersin AKTS Kredisi 5