Iot Security (5 cr)
Code: TT00BO24-3004
General information
- Enrollment
-
01.06.2023 - 17.09.2023
Registration for the implementation has ended.
- Timing
-
04.09.2023 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Information and Communication Technology
- Teachers
- Jari-Pekka Paalassalo
- Teacher in charge
- Jari-Pekka Paalassalo
- Scheduling groups
- Labraryhmä A (Size: 35 . Open UAS : 0.)
- Labraryhmä B (Size: 35 . Open UAS : 0.)
- Groups
-
PTIVIS22SEmbedded Software and IoT
- Small groups
- Lab group A
- Lab group B
- Course
- TT00BO24
Evaluation scale
H-5
Content scheduling
Chapter 1: The IoT Under Attack
Chapter 2: IoT Systems and Architectures
Chapter 3: The IoT Device Layer Attack Surface
Chapter 4: IoT Communication Layer Attack Surface
Chapter 5: IoT Application Layer Attack Surface
Chapter 6: Vulnerability and Risk Assessment in an IoT System
Materials
published in git.dc.turkuamk.fi
Teaching methods
Self-study network material
Lectures
7 laboratory sessions
Exam schedules
On week 16
Pedagogic approaches and sustainable development
Lab works
Lectures
Self study
Completion alternatives
Assessment exam in a manner agreed upon with the teacher.
Student workload
Lab sessions 6x4h = 24h
Final exam 2h
Lectures 12h
Self study 85h
Exam preparation 12h
Evaluation methods and criteria
Must pass Final Exam:
50% -> 1
68% -> 2
76% -> 3
84% -> 4
92% -> 5
Mandatory lab works: +/- 2 grades from individual Lab performance
Mandatory lectures, must attend 70%
Failed (0)
Failed Final Exam <50%
or
Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)
Assessment criteria, excellent (5)
Excellent Final Exam >92%
and
expected lab performance (all labs done with average performance)
or
Good Final Exam >76%
and
superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)