Secure Enterprise Networks (5 cr)
Code: TX00EX92-3002
General information
- Enrollment
-
02.12.2024 - 14.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Marko Uusitalo
- Groups
-
tivivaihto_k25Tivi-vaihto, kevät 2025
-
ICT23-SI-NSmart IoT Systems: IoT and Networks
- Course
- TX00EX92
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 13.01.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 16.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMC565
Digitila
|
|
Mon 20.01.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 23.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMC565
Digitila
|
|
Mon 27.01.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 30.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMC565
Digitila
|
|
Mon 03.02.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 06.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMC565
Digitila
|
|
Mon 10.02.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 13.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD657
Oppimistila
|
|
Mon 24.02.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Tue 25.02.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 03.03.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Tue 04.03.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 10.03.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
|
Tue 11.03.2025 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3002 |
KMD658
Smart IoT -laboratorio
|
Objective
The course Secure Enterprise Networks describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasises network security concepts and introduces network virtualisation and automation. On completion of the course students know how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation.
Content
• OSPF routing protocol
• Security best practices
• Access control lists
• Network Address Translation (NAT)
• Remote access connections
• Scalable network architectures
• Quality of Service (QoS)
• Managing large networks
• Virtualisation, software-defined networking and automation
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the ICT field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in the ICT field and their own development towards expertise.
Assessment criteria, approved/failed
The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.