ECTS - Introduction to Crytopgraphy

Introduction to Crytopgraphy (MATH427) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Crytopgraphy MATH427 Elective Courses 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to introduce the fundamental concepts of cryptography and some classical private-key and public key cryptographic systems within a mathematical framework.
Course Learning Outcomes The students who succeeded in this course;
  • gain knowledge about mathematical basics of cryptography.
  • understand and use some simple cryptosystems.
  • know basics of private-key and public-key infrastructures.
  • learn how basic cryptographic protocols work.
Course Content Basics of cryptography, classical cryptosystems, substitution, review of number theory and algebra, public-key and private-key cryptosystems, RSA cryptosystem, Diffie-Hellman key exchange, El-Gamal cryptosystem, digital signatures, basic cryptographic protocols.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basic Definitions and Theorems in Number Theory pp.12-30
2 Basic Definitions and Theorems in Number Theory (continued) pp.12-30
3 Basic Definitions of Cryptosystems
4 Shift Cipher pp. 54-65
5 Substitution Cipher pp. 54-65
6 Hill Cipher pp.65-82
7 Vigenere Cipher pp.65-82
8 Playfair Cipher
9 Finite Fields, Review of Quadratic Residues pp. 31-40, pp. 42-49
10 The Idea of Public Key Cryptography pp. 83-90
11 RSA Cryptosystem pp. 92-95
12 Discrete Logarithm Problem, Diffie-Hellman Key Exchange pp. 97-99
13 El Gamal Cryptosystem, The Massey-Omura Cryptosystem pp. 100-101
14 Some Basic Cryptographic Protocols
15 Review
16 Final Exam

Sources

Course Book 1. A Course in Number Theory and Cryptography, Neal Koblitz , 2nd Edition, Springer, 1994
Other Sources 2. Algebraic Aspects of Cryptograhy, Neal Koblitz , Springer ,1998.
3. Cryptography: Theory and Practice, Douglas Stinson, CRC Press Inc, 1996.
4. Introduction to Cryptography, J. A. Buchmann, Springer-Verlag, 2000.
5. Handbook of Applied Cryptography, Alfred J. Menezes, Paul C. van Oorschot and Scott A. Vanstone, CRC Press, 1996.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
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
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 8 40
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 132