The aim of this course is to explain fundamental math for programming contents, methods, techniques and show how to use these methods in solving certain types of problems which might possibly be encountered in many branches of science.
,Basic statistical information for Digital Image Processing ,Basic statistical information for Digital Image Processing.,The Operators that are using in Digital Image Processing ,The operators that are using in Digital Image Processing ,Algorithms,Graphs,Trees,Cryptography.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Calculate vectoral operations.
12, 16, 6, 9
A, D, E, G
2. Calculate matrix and determinants.
12, 16, 6, 9
A, D, E, G
3. Recognise and apply the operations that are using in Digital Image Processing.
A: Traditional Written Exam, D: Oral Exam, E: Homework, G: Quiz
Course Outline
Order
Subjects
Preliminary Work
1
Matrices
2
Rotation, transposition
3
Row Echelon Form, Determinant
4
Linear Equation Systems
5
Vectors, Dot product, Norm
6
Matrix Transition
7
Basic statistical information for Digital Image Processing
8
Basic statistical information for Digital Image Processing.
9
The Operators that are using in Digital Image Processing
10
The operators that are using in Digital Image Processing
11
Algorithms
12
Graphs
13
Trees
14
Cryptography
Resources
1. Linear Algebra, Schaums Outline.
2. tutorialspoint.com (Digital Image Processing)
3. Discrete Mathematics and Its Applications, Kenneth H. Rosen, McGraw-Hill, (Chapter 3,4,10,11)
4. Lecture notes.
Çözümlü Lineer Cebir Problemleri, Fethi Çallıalp, Birsen Yayınevi
Çözümlü Lineer Cebir Alıştırmaları, Arif Sabuncuoğlu, Nobel Yayınevi
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business.
X
2
Chooses and uses the proper solution methods and special techniques for programming purpose.
X
3
Uses modern techniques and tools for programming applications.
X
4
Works effectively individually and in teams.
X
5
Implements and follows test cases of developed software and applications.
6
Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices.
X
7
Reaches information, and surveys resources for this purpose.
X
8
Aware of the necessity of life-long learning; follows technological advances and renews him/herself.
X
9
Communicates, oral and written, effectively using modern tools.
X
10
Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance.
X
11
Keeps attention in clean and readable code design.
12
Considers and follows user centered design principles.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
14
2
28
Resolution of Homework Problems and Submission as a Report
2
5
10
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
10
5
50
Midterm Exam
6
1
6
General Exam
1
14
14
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
150
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30)
5
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
MATHEMATICS in PROGRAMMING
-
Spring Semester
3+0
3
5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Short Cycle (Associate's Degree)
Course Type
Required
Course Coordinator
Lect. Hatice ÇAY
Name of Lecturer(s)
Lect. Hatice ÇAY
Assistant(s)
Aim
The aim of this course is to explain fundamental math for programming contents, methods, techniques and show how to use these methods in solving certain types of problems which might possibly be encountered in many branches of science.
,Basic statistical information for Digital Image Processing ,Basic statistical information for Digital Image Processing.,The Operators that are using in Digital Image Processing ,The operators that are using in Digital Image Processing ,Algorithms,Graphs,Trees,Cryptography.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Calculate vectoral operations.
12, 16, 6, 9
A, D, E, G
2. Calculate matrix and determinants.
12, 16, 6, 9
A, D, E, G
3. Recognise and apply the operations that are using in Digital Image Processing.
A: Traditional Written Exam, D: Oral Exam, E: Homework, G: Quiz
Course Outline
Order
Subjects
Preliminary Work
1
Matrices
2
Rotation, transposition
3
Row Echelon Form, Determinant
4
Linear Equation Systems
5
Vectors, Dot product, Norm
6
Matrix Transition
7
Basic statistical information for Digital Image Processing
8
Basic statistical information for Digital Image Processing.
9
The Operators that are using in Digital Image Processing
10
The operators that are using in Digital Image Processing
11
Algorithms
12
Graphs
13
Trees
14
Cryptography
Resources
1. Linear Algebra, Schaums Outline.
2. tutorialspoint.com (Digital Image Processing)
3. Discrete Mathematics and Its Applications, Kenneth H. Rosen, McGraw-Hill, (Chapter 3,4,10,11)
4. Lecture notes.
Çözümlü Lineer Cebir Problemleri, Fethi Çallıalp, Birsen Yayınevi
Çözümlü Lineer Cebir Alıştırmaları, Arif Sabuncuoğlu, Nobel Yayınevi
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business.
X
2
Chooses and uses the proper solution methods and special techniques for programming purpose.
X
3
Uses modern techniques and tools for programming applications.
X
4
Works effectively individually and in teams.
X
5
Implements and follows test cases of developed software and applications.
6
Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices.
X
7
Reaches information, and surveys resources for this purpose.
X
8
Aware of the necessity of life-long learning; follows technological advances and renews him/herself.
X
9
Communicates, oral and written, effectively using modern tools.
X
10
Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance.
X
11
Keeps attention in clean and readable code design.
12
Considers and follows user centered design principles.
