ECTS - Algorithms and Optimization Methods
Algorithms and Optimization Methods (SE328) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Algorithms and Optimization Methods | SE328 | 6. Semester | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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CMPE226 |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | This course is designed to teach students how to analyze and design algorithms and measure their complexities. In addition, students will be able to implement optimization methods for optimization problems. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Design and analysis of algorithms; mathematical complexity of algorithms; master theorem; decrease-and-conquer; divide-and-conquer; transform-and-conquer; introduction to some optimization techniques; dynamic programming; greedy technique; iterative improvement; coping with limitations of algorithm power. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | The role of algorithms and Getting Started | CLRS Ch 1-2 |
2 | Growth of Functions, Asymptotic Notation | CLRS Ch. 3 |
3 | Solving Recurrences: Substitution Method | CLRS Ch. 4 |
4 | Solving Recurrences: Recursion-Tree Method, Master's Method | CLRS Ch. 4 |
5 | Brute Force and Exhaustive Search | LVTN Ch. 3 & CLRS Ch. 22 |
6 | Decrease-and-Conquer | LVTN Ch. 4 & CLRS Ch. 22 |
7 | Divide-and-Conquer | LVTN Ch. 5 & CLRS Ch. 7 |
8 | Transform-and-Conquer | LVTN Ch. 6 & CLRS Ch. 6 |
9 | Dynamic Programming | LVTN Ch. 8 & CLRS Ch. 15 |
10 | Dynamic Programming | LVTN Ch. 8 & CLRS Ch. 15 |
11 | Greedy Algorithms | LVTN Ch. 9 & CLRS Ch. 16 |
12 | Greedy Algorithms | LVTN Ch. 9 & CLRS Ch. 16 |
13 | Iterative Improvement: The Simplex Method | LVTN Ch. 10 |
14 | Limitations of Algorithm Power, Coping with the Limitations of Algorithm Power, P, NP, NP-Complete Problems | LVTN Ch. 11 |
15 | Final Exam | |
16 | Final Exam |
Sources
Course Book | 1. Anany Levitin, Introduction to the Design & Analysis of Algorithms, 3rd edi-tion, Pearson, 2012. |
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Other Sources | 2. T.H.Cormen, C.E.Leiserson, R.L.Rivest and C.Stein: Introduction to Algorithms, MIT Press 2001. |
3. E.Horowitz, S.Sahni: Fundamentals of Computer Algorithms, Computer Sci-ence Press, 1989. | |
4. E.Horowitz, S.Sahni, S.Rajasekeran, Computer Algorithms, ISBN: 978-0-929306-41-4, Silicon Press, 2008. | |
5. J.Kleinberg, E.Tardos, Algorithm Design, Addison – Wesley, ISBN: 0-321-29535-8, 2006. | |
6. A.V.Aho, J.E.Hopcroft, J.D.Ullman, The Design and Analysis of Computer Algo-rithms, Addison-Wesley Series in Computer Science and Information Pro-cessing, 1979. | |
7. S.S. Skiena, The Algorithm Design Manual, Springer – Verlag, New York, 1998. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 3 | 15 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 50 |
Final Exam/Final Jury | 1 | 35 |
Toplam | 6 | 100 |
Percentage of Semester Work | 65 |
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Percentage of Final Work | 35 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | X |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Gains adequate knowledge in mathematics, science, and subjects specific to the software engineering discipline; acquires the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | X | ||||
2 | Gains the ability to identify, define, formulate, and solve complex engineering problems; selects and applies proper analysis and modeling techniques for this purpose. | X | ||||
3 | Develops the ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. | X | ||||
4 | Demonstrates the ability to select, and utilize modern techniques and tools essential for the analysis and determination of complex problems in software engineering applications; uses information technologies effectively. | X | ||||
5 | Develops the ability to design experiments, gather data, analyze, and interpret results for the investigation of complex engineering problems or research topics specific to the software engineering discipline. | X | ||||
6 | Demonstrates the ability to work effectively both individually and in disciplinary and interdisciplinary teams in fields related to software engineering. | X | ||||
7 | Demonstrates the ability to communicate effectively in Turkish, both orally and in writing; to write effective reports and understand written reports, to prepare design and production reports, to deliver effective presentations, and to give and receive clear and understandable instructions. | |||||
8 | Gains knowledge of at least one foreign language; acquires the ability to write effective reports and understand written reports, prepare design and production reports, deliver effective presentations, and give and receive clear and understandable instructions. | |||||
9 | Acquires an awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and continuously improve oneself. | |||||
10 | Acts in accordance with ethical principles and possesses knowledge of professional and ethical responsibilities. | |||||
11 | Knows the standards used in software engineering practices. | |||||
12 | Knows about business practices such as project management, risk management and change management. | |||||
13 | Gains awareness about entrepreneurship and innovation. | |||||
14 | Gains knowledge on sustainable development. | |||||
15 | Has knowledge about the universal and societal impacts of software engineering practices on health, environment, and safety, as well as the contemporary issues reflected in the field of engineering. | X | ||||
16 | Acquires awareness of the legal consequences of engineering solutions. | |||||
17 | Applies knowledge and skills in identifying user needs, developing user-focused solutions and improving user experience. | X | ||||
18 | Gains the ability to apply engineering approaches in the development of software systems by carrying out analysis, design, implementation, verification, validation, and maintenance processes. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 3 | 4 | 12 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | |||
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 59 |