CS498 Special Topics in Computer Science I
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Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
T | P | |||||||||
CS498 | Special Topics in Computer Science I | 3 | 2 | 6 | ||||||
Prerequisite | None | It is a prerequisite to | None |
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Lecturer | Ali Almisreb | Office Hours / Room / Phone | Monday: 9:00-10:00 Thursday: 13:00-17:00 Friday: 9:00-11:00 Saturday: 8:00-18:00 Via Teams Sunday: 8:00-18:00 Via Teams |
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aalmisreb@ius.edu.ba | ||||||||||
Assistant | Assistant E-mail | |||||||||
Course Objectives | This course aims to: 1. Describe the field of digital forensics. 2. Describe certification requirements for digital forensics labs. 3. Learn the data acquisition over multiple storage media. 4. Learn how to process digital crime and incident scenes. 5. Provide the ability to work with different digital forensics tools and operating systems. |
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Textbook | Basic Literature: [1] Bill Nelson, Amelia Phillips, Christopher Steuart. Guide to Computer Forensics and Investigations: Processing Digital Evidence / Cengage Learning, Inc., 6th edition, 2019. (Required). | |||||||||
Additional Literature |
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Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
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Teaching Methods | The course will be divided, logically, into 3 sections, the first section will introduce the theory of the topic, then be followed with practical in-class examples with digital forensics tools | |||||||||
Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
WEEK | TOPIC | REFERENCE | ||||||||
Week 1 | Understanding the Digital Forensics Profession and Investigations | Chapter 1 | ||||||||
Week 2 | The Investigator’s Office and Laboratory | Chapter 2 | ||||||||
Week 3 | Data Acquisition | Chapter 3 | ||||||||
Week 4 | Processing Crime and Incident Scenes | Chapter 4 | ||||||||
Week 5 | Working with Windows and CLI Systems | Chapter 5 | ||||||||
Week 6 | Current Digital Forensics Tools | Chapter 6 | ||||||||
Week 7 | Mid-Term Exam | |||||||||
Week 8 | Recovering Graphics Files | Chapter 7 | ||||||||
Week 9 | Digital Forensics Analysis and Validation | Chapter 8 | ||||||||
Week 10 | Virtual Machine Forensics, Live Acquisitions, and Network Forensics | Chapter 9 | ||||||||
Week 11 | E-mail and Social Media Investigations | Chapter 10 | ||||||||
Week 12 | Mobile Device Forensics and the Internet of Anything | Chapter 11 | ||||||||
Week 13 | Cloud Forensics | Chapter 12 | ||||||||
Week 14 | Report Writing for High-Tech Investigations | Chapter 13 | ||||||||
Week 15 | Expert Testimony in Digital Investigations & Ethics for the Expert Witness | Chapter 14 |
Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs |
Final Exam / Final Project | 1 | 35 | 3 | |
Semester Evaluation Components | ||||
Midterm | 1 | 25 | 1,5 | |
Labs | 15 | 30 | 2,4 | |
Quizzes | 2 | 10 | ||
*** ECTS Credit Calculation *** |
Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
Lecture Hours | 3 | 15 | 45 | Active Tutorials | 2 | 14 | 28 | |||
Home Study | 4 | 14 | 56 | In-term Exam Study | 8 | 1 | 8 | |||
Final Exam Study | 13 | 1 | 13 | |||||||
Total Workload Hours = | 150 | |||||||||
*T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 23/10/2023 |