Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
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| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
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1) Understand the fundamental concepts and principles of cryptology, including cryptography and cryptanalysis.
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2) Gain knowledge of various encryption algorithms, cryptographic protocols, and techniques for breaking them.
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3) Acquire an understanding of the historical development of cryptology and its role in securing information.
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| Skills
(Describe as Cognitive and/or Practical Skills.)
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1) Analyze and apply cryptographic algorithms to secure communication and data.
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2) Develop skills to break cryptographic systems using various cryptanalytic techniques.
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3) Utilize mathematical tools and concepts, such as modular arithmetic, for cryptographic operations.
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| Competences
(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
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1) Ability to independently study and explore advanced topics in cryptology.
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2) Develop a continuous learning mindset to stay updated with the evolving field of cryptology.
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3) Effectively communicate cryptographic concepts and security measures to both technical and non-technical audiences.
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| Week |
Subject |
Materials Sharing * |
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Related Preparation |
Further Study |
| 1) |
Introduction to Cryptology - History, Basic Concepts, and Mathematical Review (Modular Arithmetic) |
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| 2) |
Classical Ciphers - Caesar, Vigenere, and Substitution Ciphers |
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| 3) |
Symmetric Encryption - Block Ciphers and DES |
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| 4) |
Symmetric Encryption - AES and Stream Ciphers |
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| 5) |
Symmetric Encryption - Affine, Hill, Playfair and Polybius Ciphers |
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| 6) |
Symmetric Encryption - Vernam Cipher and One-Time Pad |
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| 7) |
Midterm |
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| 8) |
Asymmetric Encryption - RSA Algorithm |
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| 9) |
Asymmetric Encryption - ElGamal Encryption |
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| 10) |
Cryptographic Protocols |
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| 11) |
Advanced Encryption Techniques - Optimal Asymmetric Encryption Padding (OAEP) |
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| 12) |
Project Presentations - Literature Review on Cryptology Topics |
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| 13) |
Discussion on Current Research and Advances in Cryptology |
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| 14) |
Review |
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Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
| 1) |
Knowledge in mathematics, natural sciences, basic engineering, computer-based computation, and computer engineering–specific subjects; and the ability to use this knowledge in solving complex engineering problems. |
4 |
| 2) |
Ability to identify, formulate, and analyze complex engineering problems by applying knowledge of basic sciences, mathematics, and engineering, while taking into account the relevant UN Sustainable Development Goals. |
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| 3) |
Ability to design creative solutions to complex engineering problems; ability to design complex systems, processes, devices, or products in a way that meets present and future needs, while considering realistic constraints and conditions. |
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| 4) |
Ability to select and use appropriate techniques, resources, and modern engineering and informatics tools—including prediction and modeling—for the analysis and solution of complex engineering problems, with an awareness of their limitations. |
4 |
| 5) |
Ability to use research methods—including literature review, experimental design, experimentation, data collection, analysis, and interpretation of results—for the investigation of complex engineering problems. |
3 |
| 6) |
Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. |
3 |
| 7) |
Knowledge of ethical responsibility and conduct in accordance with the principles of the engineering profession; awareness of acting impartially, without discrimination, and embracing diversity. |
3 |
| 8) |
Ability to work effectively, individually and as a member or leader of intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or hybrid). |
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| 9) |
Ability to communicate effectively on technical subjects, orally and in writing, by taking into account the diverse characteristics of the target audience (such as education, language, and profession). |
2 |
| 10) |
Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
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| 11) |
An ability to engage in lifelong learning, including independent and continuous learning, to adapt to new and emerging technologies, and to critically evaluate technological changes. |
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| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
2 |
28 |
| Laboratory |
0 |
0 |
0 |
| Application |
14 |
2 |
28 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
14 |
2 |
28 |
| Presentations / Seminar |
0 |
0 |
0 |
| Project |
1 |
12 |
12 |
| Homework Assignments |
4 |
2 |
8 |
| Total Workload of Teaching & Learning Activities |
- |
- |
104 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
2 |
3 |
6 |
| Midterms |
1 |
6 |
6 |
| Semester Final Exam |
1 |
12 |
12 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
24 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
128 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
5 |