Learning to computer programming and calculation principles with gaining ability to develop open source programming codes and contributing to develop of engineering problem solving ability.
Course Content
This course contains; Introduction to Scientific and Engineering Computations,Introduction to Matlab Computing Environment,Variables, Operations and Simple Plot,Algorithms and Logic Operators,Flow Control, Errors and Source of Errors,Functions,Arrays,Solving Simple Equations,Examples on Polynomials,Applications of Curve Fitting,Applications of Interpolation ,Application of Numerical Integration,Symbolic Mathematics,Ordinary Differential Equation (ODE) Solutions with Built-in Functions.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Analyze the contemporary issues of engineering problems.
Introduction to Scientific and Engineering Computations
Previewing book and lecture notes
2
Introduction to Matlab Computing Environment
Previewing book and lecture notes
3
Variables, Operations and Simple Plot
Previewing book and lecture notes
4
Algorithms and Logic Operators
Previewing book and lecture notes
5
Flow Control, Errors and Source of Errors
Previewing book and lecture notes
6
Functions
Previewing book and lecture notes
7
Arrays
Previewing book and lecture notes
8
Solving Simple Equations
Previewing book and lecture notes
9
Examples on Polynomials
Previewing book and lecture notes
10
Applications of Curve Fitting
Previewing book and lecture notes
11
Applications of Interpolation
Previewing book and lecture notes
12
Application of Numerical Integration
Previewing book and lecture notes
13
Symbolic Mathematics
Previewing book and lecture notes
14
Ordinary Differential Equation (ODE) Solutions with Built-in Functions
Previewing book and lecture notes
Resources
William J. Palm, 2005, Introduction to Matlab 7 for Engineers, Mc Graw Hill.
Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
12
Capability to apply and decide on engineering principals while understanding and rehabilitating the human body
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
30
Rate of Final Exam to Success
70
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
4
56
Guided Problem Solving
14
2
28
Resolution of Homework Problems and Submission as a Report
14
3
42
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
3
2
6
Midterm Exam
1
24
24
General Exam
1
24
24
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
180
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30)
6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
PROGRAMMING with MATLAB
BME3149090
Fall Semester
2+2
3
6
Course Program
Çarşamba 08:00-08:45
Çarşamba 09:00-09:45
Çarşamba 10:00-10:45
Çarşamba 11:00-11:45
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
First Cycle (Bachelor's Degree)
Course Type
Elective
Course Coordinator
Assoc.Prof. Atakan MANGIR
Name of Lecturer(s)
Abdullah Hulusi KÖKÇAM
Assistant(s)
Aim
Learning to computer programming and calculation principles with gaining ability to develop open source programming codes and contributing to develop of engineering problem solving ability.
Course Content
This course contains; Introduction to Scientific and Engineering Computations,Introduction to Matlab Computing Environment,Variables, Operations and Simple Plot,Algorithms and Logic Operators,Flow Control, Errors and Source of Errors,Functions,Arrays,Solving Simple Equations,Examples on Polynomials,Applications of Curve Fitting,Applications of Interpolation ,Application of Numerical Integration,Symbolic Mathematics,Ordinary Differential Equation (ODE) Solutions with Built-in Functions.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Analyze the contemporary issues of engineering problems.
Introduction to Scientific and Engineering Computations
Previewing book and lecture notes
2
Introduction to Matlab Computing Environment
Previewing book and lecture notes
3
Variables, Operations and Simple Plot
Previewing book and lecture notes
4
Algorithms and Logic Operators
Previewing book and lecture notes
5
Flow Control, Errors and Source of Errors
Previewing book and lecture notes
6
Functions
Previewing book and lecture notes
7
Arrays
Previewing book and lecture notes
8
Solving Simple Equations
Previewing book and lecture notes
9
Examples on Polynomials
Previewing book and lecture notes
10
Applications of Curve Fitting
Previewing book and lecture notes
11
Applications of Interpolation
Previewing book and lecture notes
12
Application of Numerical Integration
Previewing book and lecture notes
13
Symbolic Mathematics
Previewing book and lecture notes
14
Ordinary Differential Equation (ODE) Solutions with Built-in Functions
Previewing book and lecture notes
Resources
William J. Palm, 2005, Introduction to Matlab 7 for Engineers, Mc Graw Hill.
Brian H. Hahn, Daniel T. Valentine, 2017, Essential MATLAB for Engineers and Scientists, Academic Press
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
12
Capability to apply and decide on engineering principals while understanding and rehabilitating the human body
