Course Name Code Semester T+U Hours Credit ECTS
Applied Engineering Softwares OTO 529 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level YUKSEK_LISANS
Course Type Optional
Course Coordinator Prof.Dr. DURMUŞ KARAYEL
Course Lecturers
Course Assistants
Course Category Basic Teaching Suitable For Field
Course Objective 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
Course Content 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
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To knows engineering softwares and can use it issues relevant to their area. Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
2 Makes operations on numbers, arrays and vectors by using engineering softwares Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
3 Makes operations about functions and matrix Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
4 Can use the logical operators Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
5 To know program branching statements Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
6 Performs the operations on numerical differentiation and Integration Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
7 Can solve linear algebraic equation systems Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
8 Solves the initial and boundary value problems Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
9 Can apply Gaussian Elimination and lower-upper triangles seperation Method Lecture, Drilland Practice, Motivations to Show, Lab / Workshop, Self Study, Testing, Homework,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes 1. Matlab ile Mühendislik Sistemlerinin Analizi ve Çözümü, brahim Yüksel, Nobel Yayın Dağıtım, 2004
Course Resources 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
Order Program Outcomes Level of Contribution
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
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
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
3 Ability to observe social, scientific and ethical values at the stages of collecting, interpreting and announcing the data and at all professional activities
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
4 Ability to manipulate and apply knowledge through scientific methods using existing data available, and the ability to integrate knowledge from different disciplines
5 Ability to design engineering problems, to develop methods to solve and to apply innovative methods of solutions
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
6 Ability to develop new and original ideas and methods; the ability to develop innovative solutions in system, component or process design
7 Awareness of the new and developing practices of the profession; the ability to examine and learn when necessary
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
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
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
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
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
1. Ödev 20
2. Kısa Sınav 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 3 3
Quiz 2 1 2
Assignment 3 10 30
Final examination 1 10 10
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6