CEN345 Algorithms

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Code CEN345
Name Algorithms
Term 2024-2025 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. FATİH ABUT
Course Instructor Doç. Dr. FATİH ABUT (A Group) (Ins. in Charge)


Course Goal / Objective

This course is intended to introduce the student to the main paradigms of algorithm analysis, methods and mathematical tools used for analyzing the correctness and performance of algorithms.

Course Content

Algorithmic Methods, Sorting and Searching Algorithms, Divide and Conquer Algorithms, Algorithm Correctness, Asymptotic notation and functions, Worst-Case Analysis, Average-Case Analysis, Best-Case Analysis, Nondeterministic Algorithms

Course Precondition

There are no prerequisites.

Resources

1. Anany Levitin, Introduction to the design and analysis of algorithms, 2nd ed., Pearson, 2007

Notes

2. Introduction to Algorithms, T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, 2009/3rd Ed, Mit Press and McGraw-Hill


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Know how to analyze worst-case, average-case and best-case of algorithms.
LO02 Know sorting, searching and divide and conquer algorithms.
LO03 Know Omega, Oh and Theta notations
LO04 Know explaining P-NP complexity classes with examples.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. 5
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Introduction Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
2 Analyse concept and Mathematical background Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
3 Searching Algorithms Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
4 Sorting Algorithms Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
5 Divide and Conquer Algorithms Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
6 Algorithm Correctness Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
7 Worst-Case Analysis, Average-Case (Part 1) Analysis, Best-Case Analysis Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading related chapter of the book Ölçme Yöntemleri:
Yazılı Sınav
9 Worst-Case Analysis, Average-Case Analysis, Best-Case Analysis (Part 2) Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
10 Omega Notation Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
11 Oh Notation Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
12 Theta Notation Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
13 Nondeterministic Algorithms (Part 1) Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
14 Nondeterministic Algorithms (Part 2) Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
15 FINAL Reading related chapter of the book Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 21.11.2024 09:40