Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
MATHEMATICS in PROGRAMMING | BPR1210944 | Spring Semester | 3+0 | 3 | 5 |
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. |
Course Content | This course contains; Matrices,Rotation, transposition
,Row Echelon Form, Determinant,Linear Equation Systems,Vectors, Dot product, Norm,Matrix Transition
,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. | 12, 16, 6, 9 | A, D, E, G |
4. Graph histogram. | 12, 16, 6, 9 | A, D, E, G |
5. Explain trees. | 12, 16, 6, 9 | A, D, E, G |
6. Solve division algoritms. | 12, 16, 6, 9 | A, D, E, G |
Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | 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 | BPR1210944 | Spring Semester | 3+0 | 3 | 5 |
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. |
Course Content | This course contains; Matrices,Rotation, transposition
,Row Echelon Form, Determinant,Linear Equation Systems,Vectors, Dot product, Norm,Matrix Transition
,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. | 12, 16, 6, 9 | A, D, E, G |
4. Graph histogram. | 12, 16, 6, 9 | A, D, E, G |
5. Explain trees. | 12, 16, 6, 9 | A, D, E, G |
6. Solve division algoritms. | 12, 16, 6, 9 | A, D, E, G |
Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | 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 |
Numerical Data
Ekleme Tarihi: 05/11/2023 - 20:23Son Güncelleme Tarihi: 05/11/2023 - 20:25
×- A-Z Programs
- Undergraduate
- Graduate
- Academic Calendar
- Double Major & Minor Programs
- Erasmus
- Prospective Students
- Registration
- Re-Enrolment
- Fees
- Directorate of Registrar’s Office
- FAQ
- Accommodation
- Scholarships
- Lateral and Vertical Transfer
- Summer School
- Preparation
- Transportation