COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1410121004 | ||||||||
Ders İsmi: | Discrete Mathematics | ||||||||
Ders Yarıyılı: | Spring | ||||||||
Ders Kredileri: |
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Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Necessary | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Recep DURANAY | ||||||||
Course Lecturer(s): |
Assoc. Prof. Ali ÇİVRİL |
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Course Assistants: |
Course Objectives: | To learn the details of mathematical facts, to know how to use them and to show how to provide mathematical thinking. |
Course Content: | Discrete mathematics; It includes different concepts such as sets, relations (relations), functions, foundations of propositional logic and Boolean algebra, numbers and matrices, mathematical induction, recursion relations, basic and advanced counting techniques, graphs, trees and graphs. The course covers how to use some proof techniques. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Terminology of Mathematics | Textbook and Lecturer Notes |
2) | Logic and Sets | Textbook and Lecturer Notes |
3) | Functions | Textbook and Lecturer Notes |
4) | Algorithms + Quiz | Textbook and Lecturer Notes |
5) | Calculation Techniques | Textbook and Lecturer Notes |
6) | Relations | Textbook and Lecturer Notes |
7) | Chromatic Polynomials | Textbook and Lecturer Notes |
8) | Midterm Exam 1 | Textbook and Lecturer Notes |
9) | Graphs and Trees I | Textbook and Lecturer Notes |
10) | Graphs and Trees II | Textbook and Lecturer Notes |
11) | Graph Theory I | Textbook and Lecturer Notes |
12) | Graph Theory II | Textbook and Lecturer Notes |
13) | Graph Theory III+Quiz | Textbook and Lecturer Notes |
14) | Boolean Algebra | Textbook and Lecturer Notes |
15) | Finite State Machines with and Without Output | Textbook and Lecturer Notes |
16) | Final | Textbook and Lecturer Notes |
Course Notes / Textbooks: | Discrete Mathematics and Its Applications, Kenneth H. Rosen, McGraw-Hill |
References: | Discrete Mathematics and Its Applications, Kenneth H. Rosen, McGraw-Hill |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
4 |
5 |
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Program Outcomes | ||||||||||||||||
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | ||||||||||||||||
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | ||||||||||||||||
3) PO 2.1) Identifying complex engineering problems | ||||||||||||||||
4) PO 2.2) Defining complex engineering problems | ||||||||||||||||
5) PO 2.3) Formulating complex engineering problems | ||||||||||||||||
6) PO 2.4) Ability to solve complex engineering problems | ||||||||||||||||
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | ||||||||||||||||
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | ||||||||||||||||
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | ||||||||||||||||
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
12) PO 4.3) Ability to use information technologies effectively. | ||||||||||||||||
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | ||||||||||||||||
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | ||||||||||||||||
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | ||||||||||||||||
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | ||||||||||||||||
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | |
2) | PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | 5 |
3) | PO 2.1) Identifying complex engineering problems | |
4) | PO 2.2) Defining complex engineering problems | |
5) | PO 2.3) Formulating complex engineering problems | |
6) | PO 2.4) Ability to solve complex engineering problems | |
7) | PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | |
8) | PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | |
9) | PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | |
10) | PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
11) | PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
12) | PO 4.3) Ability to use information technologies effectively. | |
13) | PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | |
14) | PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | |
15) | PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | |
16) | PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | |
17) | PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
Course | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 10 | % 10 |
Midterms | 3 | % 45 |
Semester Final Exam | 1 | % 45 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 24 | 4 | 96 |
Midterms | 3 | 3 | 9 |
Final | 1 | 3 | 3 |
Total Workload | 150 |