CYBER SECURITY (ENGLISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP6138 Analysis of Algorithms Spring 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TEVFİK AYTEKİN
Course Lecturer(s): Prof. Dr. NAFİZ ARICA
Course Objectives: Rigorous analysis of the time and space requirements of important algorithms, including worst case, average case, and amortized analysis will be done. Techniques include order-notation, recurrence relations, etc. Analysis of the key data structures: trees, hash tables, balanced tree schemes, priority queues, Fibonacci and binomial heaps will be presented. Algorithmic paradigms such as divide and conquer, dynamic programming will be introduced. Selected advanced algorithms will be explored.

Learning Outputs

The students who have succeeded in this course;
I. Apply basic algorithm analysis methodology
II. Implement and analyze sorting algorithms
III. Implement and analyze recurrent algorithms and tree structures
IV. Model problems with heaps and queues and analyze runtime characteristics
V. Model problems with graphs
VI. Optimize problems with dynamic programming
VII. Independently choose and investigate new algorithms when needed.

Course Content

Complexity of functions, sorting algorithms, recurrences, trees, heaps and priority queues, graph algorithms, dynamic programming, special techniques.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Growth of functions
3) Basic Sorting Algorithms
4) Advanced Sorting Algorithms
5) Recurrences
6) Trees 1
7) Trees 2
8) Midterm
9) Heaps and Priority Queues
10) Graph Algorithms 1
11) Graph Algorithms 2
12) Dynamic Programming
13) Special Techniques
14) Project presentations

Sources

Course Notes: "Introduction to Algorithms" Thomas H. Cormen, The MIT Press
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 35
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 25
PERCENTAGE OF FINAL WORK % 75
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 0 0 0
Presentations / Seminar 0 0 0
Project 1 72 72
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 40 40
Paper Submission 0
Jury 0
Final 1 40 40
Total Workload 194

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications.
1) To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.
1) Being able to independently carry out a work that requires expertise in the field.
1) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning.
1) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data.
2) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines,
2) To be able to develop strategy, policy and implementation plans in the fields related to the field and to evaluate the obtained results within the framework of quality processes.
2) To be able to critically examine social relations and the norms that guide these relations, to develop them and take action to change them when necessary.
2) To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field.
2) To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility.
2) To be able to comprehend the interdisciplinary interaction with which the field is related.
3) To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies.
3) Being able to lead in environments that require the resolution of problems related to the field.
3) To be able to solve the problems encountered in the field by using research methods.