INFORMATION SECURITY AND ASSURANCE
- Course
- MISY271 - INFORMATION SECURITY AND ASSURANCE
- Department
- Master of Management Information Systems - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Sara SALEHI
- Prerequisite
- -
- Keywords
Course Description
INFORMATION SECURITY AND ASSURANCE
INFORMATION SECURITY AND ASSURANCE
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm Exam | Midterm | 35 |
| Quiz | Quiz | 20 |
| Final Exam | Final | 45 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Information security |
| Week 2 | Security needs, threats and attacks |
| Week 3 | Risk Management |
| Week 4 | Trending attacks |
| Week 5 | Attack prevention and mitigation Techniques |
| Week 6 | Access control, Biometrics, Watermarking |
| Week 7 | Midterm exam |
| Week 8 | Cryptography |
| Week 9 | SSL, Firewalls, VPN, |
| Week 10 | Security models and frameworks |
| Week 11 | Digital Forensics |
| Week 12 | Project presentation |
| Week 13 | Project presentation |
| Week 14 | Revision |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Principles of Information Security, 7th Edition by Micheal Whitman and Herbert Mattord
- 02 Security in Computing, 3rd Edition by Charles P. Pfleeger and Shari Lawrence Pfleeger
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
- Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
- Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
- Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
- Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
- Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
- dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
- Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
- Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
- Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
- Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
- Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.