ce.cs.ieu.edu.tr
Course Name | |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
Fall/Spring |
Prerequisites | None | |||||
Course Language | ||||||
Course Type | Elective | |||||
Course Level | - | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | Problem Solving | |||||
Course Coordinator | - | |||||
Course Lecturer(s) | - | |||||
Assistant(s) | - |
Course Objectives | |
Learning Outcomes | The students who succeeded in this course;
|
Course Description |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction and motivation. Mathematical foundations, summation, recurrences and growth of functions | Cormen Chapter 2, 3, and 4 |
2 | Asymptotic notation and Master theorem | Cormen Chapter 4 |
3 | Binary heaps and analysis of heapsort | Cormen Chapter 6 |
4 | Sorting theory and more comparison sorting algorithms: Analysis of merge sort andQuicksort. | Cormen Chapter 7 |
5 | Worst case analysis of Quicksort | Cormen Chapter 7 |
6 | Sorting in linear time, lower bounds for sorting, counting sort, radix sort, bucket sort | Cormen Chapter 8 |
7 | Medians and order statistics. Finding median and rank in linear time, selectionalgorithm. | Cormen Chapter 9 |
8 | Midterm | |
9 | Elementary data structures and runtime analysis of insertion, deletion and update | Cormen Chapter 10 |
10 | Hash tables and runtime analysis. | Cormen Chapter 11 |
11 | Binary search trees and Redblack trees | Cormen Chapter 12 and 13 |
12 | Btrees and Augmenting data structures | Cormen Chapter 18 |
13 | Amortized analysis | Cormen Chapter 17 |
14 | Binomial heaps and fibonacci heaps | Cormen Chapter 19 and 20 |
15 | Review | |
16 | Review of the Semester |
Course Notes/Textbooks | Introduction to Algorithms, 2/eThomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, ISBN: 9780262533058, MIT PressData Structures and Algorithm Analysis in C++, Mark Allen Weiss, Addision Wesley, Third Edition. |
Suggested Readings/Materials | Algorithm Design. Jon Kleinberg and Eva Tardos. 2006, Pearson Education, ISBN 0321372913 |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | 6 | 30 |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 60 | |
Weighting of End-of-Semester Activities on the Final Grade | 40 | |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 15 | 2 | |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | 6 | 2 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 10 | |
Final Exams | 1 | 20 | |
Total | 120 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems | X | ||||
2 | Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose | X | ||||
3 | Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose | X | ||||
4 | Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice | X | ||||
5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems | X | ||||
6 | Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually | |||||
7 | Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages | |||||
8 | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself | |||||
9 | Awareness of professional and ethical responsibility | |||||
10 | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development | X | ||||
11 | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest