Course Name Code Semester T+U Hours Credit ECTS
Automotive Computer Applications OTE 424 8 2 + 0 2 2
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Doç.Dr. VEZİR AYHAN
Course Lecturers
Course Assistants Res.Asst. Idris CESUR
Course Category
Course Objective The course aims at teaching students the mathametical problem solving methods for engineering applications by using MATLAB toolboxs.
Course Content Solving the mathematical problems with application related to the technical fields encountered
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Arrays and matrices, linear algebra, other areas of mathematics. Enter matrices, perform matrix operations, and access matrix elements. Use matrices for linear algebra, work with arrays, multivariate data, scalar expansion, and logical subscripting, and Lecture, Problem Solving, Question-Answer, Discussion, Drilland Practice, Testing, Oral Exam, Homework,
2 Evaluate a m-file for the purpose of problem soving Drilland Practice, Question-Answer, Lecture, Homework, Oral Exam, Testing,
3 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. Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam, Homework,
4 Using Matlab functions for solving technical problems in their fields Drilland Practice, Question-Answer, Problem Solving, Lecture, Homework, Oral Exam, Testing,
5 Solving differential equations and derivatives Lecture, Problem Solving, Question-Answer, Drilland Practice, Testing, Oral Exam, Homework,
6 Solving Symbolic expressions Drilland Practice, Question-Answer, Problem Solving, Lecture, Homework, Oral Exam, Testing,
Week Course Topics Preliminary Preparation
1 See how MATLAB® software can provide solutions for you in technical computing, some of the common applications of MATLAB®, and the types of add-on, application-specific solutions that are available in MATLAB® toolboxes.
2 Introduction to MATLAB. Use matrices for linear algebra, work with arrays, multivariate data, scalar expansion, and logical subscripting, and use the find function. Size of parameters, studying with m-files. Change output format, suppress output, enter l
3 Basic introduction to solving the problem related to trigonometry, geometry and heat transfer
4 Enter matrices, perform matrix operations, and access matrix elements. Work with variables, numbers, operators, functions, and expressions. Generate matrices, load matrices, create matrices from M-files and concatenation, and delete matrix rows and colum
5 Enter matrices, perform matrix operations, and access matrix elements. Work with variables, numbers, operators, functions, and expressions. Generate matrices, load matrices, create matrices from M-files and concatenation, and delete matrix rows and colum
6 Describes techniques for importing data to and exporting data from the MATLAB® workspace using MAT-files. İmporting data from Excel and Word to MATLAB environment
7 Describes the overall process of developing programs in MATLAB®. This chapter shows you how to work with M-files to create scripts and functions. It describes the various types of functions you can create, how to make calls to functions, handle argument
8 Function files and aplication
9 Plotting data and provides examples showing how to plot, annotate, and print graphs. How to enhance data plots with labels, text, and shapes. Plotting vector and matrix data in 2-D representations. Creating bar graphs, histograms, contour plots, and othe
10 Exam 1
11 Introduction to program expressions. Conditional Control — if, switch Loop Control — for, while, continue, break,Error Control — try, catch Program Termination — return
12 Regression Analysis, Model data using a spline interpolant, a shape-preserving interpolant, or a polynomial up to the tenth degree, Plot one or more fits together with data, Compute model coefficients
13 Interpolation functions in the MATLAB® Environment, Data gridding and surface fitting, Data gridding and hypersurface fitting for three-dimensional data, One-dimensional interpolation (table lookup), Two-dimensional interpolation (table lookup), Three-di
14 Symbolic derivative and integrals
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Having necessary knowledge and skills for performing his/her proficiency in the subject of motor Technologies and basic manufacturing processes
2 Having the latest knowledge and skills for theoretical and practical applications of motor systems and principals X
3 Having the latest knowledge and skills for theoretical and practical applications of vehicle systems X
4 Having the latest knowledge and skills for performing tests, control and maintenance of motor/vehicle systems and hardware
5 Having the latest knowledge and skills for diagnostics and renovation processes of vehicle/motor systems
6 Having the latest knowledge in Science and Engineering X
7 Having the latest knowledge and skills in the area of electric-electronic-computer for performing tasks related to his/her proficiency X
8 Having foreign language skills and knowledge for making tasks related to his/her proficiency X
9 Having the latest knowledge and skills for making design and research projects in his/her area X
10 Having the latest knowledge and skills in the area of servicing/management/job security related to his/her proficiency
11 Having the latest knowledge and skills for performing tasks in teaching and education in his/her area X
12 Having necessary knowledge for performing tasks in the automobile industry
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
1. Ödev 2
1. Performans Görevi (Uygulama) 2
2. Kısa Sınav 10
2. Ödev 2
2. Performans Görevi (Uygulama) 2
3. Ödev 2
3. Performans Görevi (Uygulama) 2
4. Ödev 2
4. Performans Görevi (Uygulama) 2
5. Performans Görevi (Uygulama) 2
6. Performans Görevi (Uygulama) 2
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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 1 1
Assignment 4 1 4
Performance Task (Application) 6 1 6
Total Workload 59
Total Workload / 25 (Hours) 2.36
dersAKTSKredisi 2