Secure Enterprise Networks (5 cr)
Code: TX00EX92-3001
General information
- Enrollment
-
27.11.2023 - 14.01.2024
Registration for the implementation has ended.
- Timing
-
15.01.2024 - 17.03.2024
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
Implementation has 16 reservations. Total duration of reservations is 47 h 10 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 15.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 17.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 22.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 24.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 29.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 31.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 05.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 07.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 12.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 14.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
|
|
Mon 26.02.2024 time 09:20 - 12:00 (2 h 40 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD652
Oppimistila
|
|
Wed 28.02.2024 time 09:30 - 12:00 (2 h 30 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 04.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 06.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Mon 11.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
KMD658
Smart IoT -laboratorio
|
|
Wed 13.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Secure Enterprise Networks TX00EX92-3001 |
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.