English


COMPUTER ENGINEERING (MS) (ENGLISH) PROGRAMME
COURSE DESCRIPTION
Name of the Course Unit Code Year Semester In-Class Hours (T+P) Credit ECTS Credit
ADVANCED CRYPTOGRAPHY CMP519 1 2 3+0 3.0 8.0


General Information
Language of Instruction English
Level of the Course Unit Master's Degree, TYYÇ: Level 7, EQF-LLL: Level 7, QF-EHEA: Second Cycle
Type of the Course Programme Elective
Mode of Delivery of the Course Unit Face-to-face
Work Placement(s) Requirement for the Course Unit No
Coordinator of the Course Unit Dr. RUHSAN ÖNDER
Instructor(s) of the Course Unit Assoc. Prof. (Ph.D.) MEHTAP KÖSE ULUKÖK
Assistant(s) of the Course Unit

Prerequisites and/or co-requisities of the course unit
CATEGORY OF THE COURSE UNIT
Category of the Course Unit Degree of Contribution (%)
Fundamental Course in the field % 50
Course providing specialised skills to the main field % 50
Course providing supportive skills to the main field -
Course providing humanistic, communication and management skills -
Course providing transferable skills -

Objectives and Contents
Objectives of the Course Unit  Advanced encryption principles and protocols, which are advanced applications of the topics covered in the introductory cryptography course, will be covered. Examples of these are zero-knowledge proof-of-knowledge techniques, secure multi-party computation, alternative ways of constructing standard foundations and protocols based on elliptic curves, lattice problems, solving syndromes, computational group theory problems, or solving polynomial system problems.  Also, advanced cryptanalysis techniques such as function domain sieve will be applied to problems such as side channel attacks or quantum attacks.
Contents of the Course Unit A broad familiarity with the inner workings of many of today's most widely used cryptographic algorithms. A more detailed understanding of some of the most important algorithms
Contribution of the Course Intending to Provide the Professional Education Mathematics and science knowledge and understanding in engineering problems Ability to analyze and interpret data on complex engineering systems in a multidisciplinary context. The ability to identify, formulate and solve complex engineering problems that you are unfamiliar with Ability to apply systems thinking to complex problem solving Ability to learn independently for life, undertake further work autonomously Ability to perform literature searches, follow complex technical issues, and be able to use a variety of methods to clearly articulate their conclusions as a member of the team

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
1 Gaining broad familiarity with the inner workings of many of today's most widely used cryptographic algorithms.
2 Developing a more detailed understanding of some of the most important algorithms

Learning Activities & Teaching Methods of the Course Unit
Learning Activities & Teaching Methods of the Course Unit

Weekly Course Contents and Study Materials for Preliminary & Further Study
Week Topics (Subjects) Preparatory & Further Activities
1 Fundamentals of cryptography No file found
2 Introduction to Block Ciphers
DES and DES Variant
DES to AES
Block Cipher Cryptanalysis
Stream Passwords
No file found
3 Mixed Functions and MACs
Asymmetric Techniques and RSA
No file found
4 Discrete Logarithm Encryption Systems
Elliptic Curve Encryption Systems
No file found
5 Identity Based Encryption, Identification Schemes and Lattice Encryption Systems No file found
6 Approach Algorithms No file found
7 Nearest Vector Problem No file found
8 midterm No file found
9 Shortest Vector Problem No file found
10 Globe Packaging No file found
11 Low Order Hypergraphs No file found
12 Fundamental Mitigation Problems No file found
13 Encryption Functions No file found
14 Interactive Proof Systems No file found

SOURCE MATERIALS & RECOMMENDED READING
Text Book: Daniele Micciancio and Shafi Goldwasser. Complexity of Lattice Problems: A Cryptographic Perspective.
“Cryptography and Network Security: Principles and Practices”, William Stallings, Pearson
Auxilary books: Antoine Joux. Algorithmic Cryptanalysis

MATERIAL SHARING
Course Notes No file found
Presentations No file found
Homework No file found
Exam Questions & Solutions No file found
Useful Links No file found
Video and Visual Materials No file found
Other No file found
Announcements No file found

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE
Theoretical
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Learning the theory of the constructs such as Advanced Neural Networks, Evolutionary Optimization, Advanced Machine Learning, Advanced Digital Image Processing, Advanced Cryptography, Data Analytics, Advanced Data Mining, Advanced mathematics for engineering studies X
Factual
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 GAining knowledge on recent research through literature search and project or report submission assignment on the newly published papers on the theoretical knowledge covered X
SKILLS
Cognitive
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Being able to prepare reports based on research X
2 Being able to present personally implemented work X
Practical
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Implementing programming assignments X
PERSONAL & OCCUPATIONAL COMPETENCES IN TERMS OF EACH OF THE FOLLOWING GROUPS
Autonomy & Responsibility
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Self contained reserach X
2 Being able to present personally conducted research and implementation results X
Learning to Learn
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 research X
2 practical programming implementation X
Communication & Social
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Being able to express results of conducted research X
2 Being able to express results of programming implementation X
Occupational and/or Vocational
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Learning methods for data analysis, advanced statistics X
2 Learning programming with new programming languages such as Python X
*Level of Contribution (0-5): Empty-Null (0), 1- Very Low, 2- Low, 3- Medium, 4- High, 5- Very High

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
PROGRAMME LEARNING OUTCOMES
1 Gaining broad familiarity with the inner workings of many of today's most widely used cryptographic algorithms. 1 (5), 2 (1), 3 (1), 4 (2), 5 (5), 6 (5), 7 (5), 8 (4), 9 (5), 10 (5), 11 (5), 13 (3)
2 Developing a more detailed understanding of some of the most important algorithms1 (5), 2 (1), 3 (1), 4 (2), 5 (5), 6 (5), 7 (5), 8 (4), 9 (5), 10 (5), 11 (5), 13 (3)

Assessment
Assessment & Grading of In-Term Activities Number of
Activities
Degree of Contribution (%)
Mid-Term Exam 0 -
Computer Based Presentation 0 -
Short Exam 0 -
Presentation of Report 0 -
Homework Assessment 0 -
Oral Exam 0 -
Presentation of Thesis 0 -
Presentation of Document 0 -
Expert Assessment 0 -
Board Exam 0 -
Practice Exam 0 -
Year-End Final Exam 0 -
Internship Exam 0 -
TOTAL 0 %100
Contribution of In-Term Assessments to Overall Grade 0 %50
Contribution of Final Exam to Overall Grade 1 %50
TOTAL 1 %100


WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites Learning Activities
(# of week)
Duration
(hours, h)
Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 3 42
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 3 5 15
Assignment (Homework) 3 10 30
Project Work 1 20 20
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 3 10 30
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 3 5 15
Total Workload for Learning & Teaching Activities - - 194
Workload for Assessment Activities
Type of the Assessment Activites # of Assessment Activities
Duration
(hours, h)
Workload (h)
Final Exam 1 3 3
Preparation for the Final Exam 1 10 10
Mid-Term Exam 0 0 0
Preparation for the Mid-Term Exam 0 0 0
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
Total Workload for Assessment Activities - - 13
Total Workload of the Course Unit - - 207
Workload (h) / 25.5 8.1
ECTS Credits allocated for the Course Unit 8.0

EBS : Kıbrıs İlim Üniversitesi Eğitim Öğretim Bilgi Sistemi Kıbrıs İlim Üniversitesi AKTS Bilgi Paketi AKTS Bilgi Paketi ECTS Information Package Avrupa Kredi Transfer Sistemi (AKTS/ECTS), Avrupa Yükseköğretim Alanı (Bologna Süreci) hedeflerini destekleyen iş yükü ve öğrenme çıktılarına dayalı öğrenci/öğrenme merkezli öğretme ve öğrenme yaklaşımı çerçevesinde yükseköğretimde uluslarası saydamlığı arttırmak ve öğrenci hareketliliği ile öğrencilerin yurtdışında gördükleri öğrenimleri kendi ülkelerinde tanınmasını kolaylaştırmak amacıyla Avrupa Komisyonu tarafından 1989 yılında Erasmus Programı (günümüzde Yaşam Boyu Öğrenme Programı) kapsamında geliştirilmiş ve Avrupa ülkeleri tarafından yaygın olarak kabul görmüş bir kredi sistemidir. AKTS, aynı zamanda, yükseköğretim kurumlarına, öğretim programları ve ders içeriklerinin iş yüküne bağlı olarak kolay anlaşılabilir bir yapıda tasarlanması, uygulanması, gözden geçirilmesi, iyileştirilmesi ve bu sayede yükseköğretim programlarının kalitesinin geliştirilmesine ve kalite güvencesine önemli katkı sağlayan bir sistematik yaklaşım sunmaktadır. ETIS : İstanbul Aydın University Education & Training System Cyprus Science University ECTS Information Package ECTS Information Package European Credit Transfer and Accumulation System (ECTS) which was introduced by the European Council in 1989, within the framework of Erasmus, now part of the Life Long Learning Programme, is a student-centered credit system based on the student workload required to achieve the objectives of a programme specified in terms of learning outcomes and competences to be acquired. The implementation of ECTS has, since its introduction, has been found wide acceptance in the higher education systems across the European Countries and become a credit system and an indispensable tool supporting major aims of the Bologna Process and, thus, of European Higher Education Area as it makes teaching and learning in higher education more transparent across Europe and facilitates the recognition of all studies. The system allows for the transfer of learning experiences between different institutions, greater student mobility and more flexible routes to gain degrees. It also offers a systematic approach to curriculum design as well as quality assessment and improvement and, thus, quality assurance.