Yazdır

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
APPLIED ENGINEERING SOFTWARES OTO 529 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Prof.Dr. DURMUŞ KARAYEL
Dersi Verenler
Dersin Yardımcıları
Dersin Amacı
By using MATLAB toolbox, to teach the students an ability to solve the problem encountered non-lineer problems in the fields of heat transfer, Thermodynamic,refrigrating sytems, vibration etc
Dersin İçeriği
1.Arrays and matris
2.functions
3. array operations and logical operations
4. plottings
5.Data Analysis,
6.Regression Analysis
7.Program expressions
8.Function files and their application to various engineering systems
9.Application of integrals, derivatives
10.Optimization and minimizations
11.simulations of non lineer problems and finding roots of non-lineer problems
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - To knows engineering softwares and can use it issues relevant to their area. 1 - 4 - 6 - 13 - 14 - A - C -
2 - Makes operations on numbers, arrays and vectors by using engineering softwares 1 - 4 - 6 - 13 - 14 - A - C -
3 - Makes operations about functions and matrix 1 - 4 - 6 - 13 - 14 - A - C -
4 - Can use the logical operators 1 - 4 - 6 - 13 - 14 - A - C -
5 - To know program branching statements 1 - 4 - 6 - 13 - 14 - A - C -
6 - Performs the operations on numerical differentiation and Integration 1 - 4 - 6 - 13 - 14 - A - C -
7 - Can solve linear algebraic equation systems 1 - 4 - 6 - 13 - 14 - A - C -
8 - Solves the initial and boundary value problems 1 - 4 - 6 - 13 - 14 - A - C -
9 - Can apply Gaussian Elimination and lower-upper triangles seperation Method 1 - 4 - 6 - 13 - 14 - A - C -
Öğretim Yöntemleri: 1:Lecture 4:Drilland Practice 6:Motivations to Show 13:Lab / Workshop 14:Self Study
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Arrays and matrices, linear algebra, other areas of mathematics. Matrix operations, Using matrices for linear algebra, work with arrays, multivariate data, scalar expansion, and logical subscripting, and use the find function
2 Mathematical functions and their usage in applications, to writing matlab codes with m-file
3 Arrays and array operations, logical operators and their usage in develeoped Matlap codes
4 Create plots, include multiple data sets, specify property values, and save figures. Edit plots interactively and using functions, and use the property editor. Print and export figures.
5 Data analysis. Data visualization, Handling missing values, Data smoothing, Computing finite differences, Summarizing data.
6 Regrassion analysis, Covariance and correlation coefficients, the least squares fitting, Functions for least squares fitting
7 Interpolation functions in the MATLAB® Environment, Regularly spaced interpolation, Irregularly spaced interpolation, counter plotting
8 Program expressions. Conditional Control ? if, switch
9 Function files and their applications to Mechanical systems
10 Midterm Exam
11 Function files and their application to heat transfer and refrigerators
12 Applications of Integrals, derivative and symbolic expressions
13 Optimization and minimizations, findin root of a non lineer equations
14 Solving non-lineer problems

Kaynaklar

Ders Notu 1. Matlab ile Mühendislik Sistemlerinin Analizi ve Çözümü, brahim Yüksel, Nobel Yayın Dağıtım, 2004
Ders Kaynakları 1. Matlab 7.14 Simulink- Mühendislik Uygulamalar, Uğur Arifoğlu, Alfa Yayınları, 2012
2. Matlab ile Programlama Çözümlü ve Açıklamalı Uygulamalarla, Dr. Deniz Dal, Ekin Kitapevi yayınları, 2012
3. Introduction to Matlab for Engineering, David Houcque, Northwestern University, 2005
4. MATLAB An Introduction with Applications, Rao V. Dukkipat, New Age International Ltd., 2010

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Ability to reach the knowledge expansion and depth by doing scientific research in the field of engineering, knowledge evaluation, interpretation and application skills X
2 To be able to develop strategies, policies and implementation plans in the field of automotive engineering and evaluate the results obtained within the framework of quality processes X
3 Ability to observe social, scientific and ethical values at the stages of collecting, interpreting and announcing the data and at all professional activities
4 Ability to manipulate and apply knowledge through scientific methods using existing data available, and the ability to integrate knowledge from different disciplines X
5 Ability to design engineering problems, to develop methods to solve and to apply innovative methods of solutions X
6 Ability to develop new and original ideas and methods; the ability to develop innovative solutions in system, component or process design X
7 Awareness of the new and developing practices of the profession; the ability to examine and learn when necessary X
8 Understanding the social and environmental dimensions of engineering practices and the ability to adapt to the social environment
9 Comprehensive information on modern techniques and methods applied in engineering and their boundaries X
10 The ability to transcribe the processes and outcomes of their work in a systematic and explicit way, either in writing or verbally, in the national and international contexts X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 10
Odev 1 20
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(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 3 3
Quiz 2 1 2
Assignment 3 10 30
Final examination 1 10 10
Toplam İş Yükü 141
Toplam İş Yükü /25(s) 5
Dersin AKTS Kredisi 5
; ;