Computer Engineering (with thesis) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code: | BIL504 | ||||||||
Course Name: | Analysis of Algorithms | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. BEKİR TEVFİK AKGÜN | ||||||||
Course Lecturer(s): |
Dr. BİLİNMİYOR BEKLER Assoc. Prof. YUSUF KAVURUCU |
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Course Assistants: |
Course Objectives: | The aim of this course is to gain algorithmic thinking skills and apply to basic programming problems, to analyze the complexity of the designed algorithm. |
Course Content: | The concept of algorithm, algorithmic complexity, recursion concept, divide-and-manage, sorting and search algorithms |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction to Algorithms | |
2) | Asymtotic Analysis | |
3) | Divide-and-Conquer | |
4) | Probabilistic Analysis and Random Algorithms | |
5) | Order and Order Statistics | |
6) | Review | |
7) | Midterm | |
8) | Data Structures | |
9) | Hash Table | |
10) | Binary Search Trees | |
11) | Red-Black Trees (Basic Definition, Insertion) | |
13) | Red-Black Trees (Deletion) | |
14) | Review |
Course Notes / Textbooks: | Introduction to Algorithms Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest ve Clifford Stein Third Edition |
References: | MIT Opencourse: Introduction to Algorithms. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/ |
Learning Outcomes | 1 |
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Program Outcomes | ||||||||||
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development. | ||||||||||
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | ||||||||||
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | ||||||||||
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | ||||||||||
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | ||||||||||
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems. | ||||||||||
7) The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge. | ||||||||||
8) Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | ||||||||||
9) Professional and ethical responsibility. | ||||||||||
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions. | ||||||||||
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development. | |
2) | Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | |
3) | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | |
4) | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | |
5) | Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | |
6) | Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems. | |
7) | The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge. | |
8) | Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | |
9) | Professional and ethical responsibility. | |
10) | Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions. | |
11) | The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. |
Expression |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 1 | % 10 |
Midterms | 1 | % 30 |
Final | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 15 | 3 | 45 |
Quizzes | 1 | 60 | 60 |
Midterms | 1 | 80 | 80 |
Final | 1 | 100 | 100 |
Total Workload | 285 |