FACULTY OF ENGINEERING
Department of Industrial Engineering
SOCIAL MEDIA
CE 390 | Course Introduction and Application Information
| Course Name |
Analysis of Algorithms
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 390
|
Fall/Spring
|
3
|
0
|
3
|
5
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Elective
|
|||||||
| Course Level |
First Cycle
|
|||||||
| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | Problem SolvingLecture / Presentation | |||||||
| Course Coordinator | ||||||||
| Course Lecturer(s) | ||||||||
| Assistant(s) | - | |||||||
| Course Objectives | The objective of this course is to introduce algorithms by looking at the realworld problems motivating them. Students will be taught a range of design and analysis techniques for problems that arise in computing applications. Greedy algorithms, divideandconquer type of algorithms, and dynamic programming will be discussed within the context of different example applications. Approximation algorithms with an emphasis on load balancing and set cover problems will also be covered. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Greedy algorithms, divideandconquer type of algorithms, dynamic programming and approximation algorithms. |
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 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 | Semester Review | |
| 16 | Final Exam |
| 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 | Data Structures and Algorithm Analysis in C++, Mark Allen Weiss, Addision Wesley, Third Edition, 978-0132847377 Algorithm Design. Jon Kleinberg and Eva Tardos. 2006, Pearson Education, ISBN 0321372913 |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
30
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| 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 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
4
|
60
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
4
|
3
|
12
|
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
10
|
10
|
| Final Exam |
1
|
20
|
20
|
| Total |
150
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. |
X | ||||
| 2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. |
X | ||||
| 3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. |
X | ||||
| 4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. |
X | ||||
| 5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. |
X | ||||
| 6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
X | ||||
| 7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions |
|||||
| 8 | To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. |
X | ||||
| 9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. |
X | ||||
| 10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. |
|||||
| 11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. |
X | ||||
| 12 | To be able to speak a second foreign at a medium level of fluency efficiently. |
|||||
| 13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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