Enterprise Networking, Security and Automation (5 cr)
Code: TX00EI87-3006
General information
- Enrollment
-
01.01.2020
Registration for the implementation has ended.
- Timing
-
03.02.2024 - 12.05.2024
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 - 30
- Teachers
- Marko Uusitalo
- Teacher in charge
- Ville Jääskeläinen
- Groups
-
LT6424KProfessional Development Program in Information Technology
- Course
- TX00EI87
Implementation has 12 reservations. Total duration of reservations is 35 h 30 min.
Time | Topic | Location |
---|---|---|
Tue 06.02.2024 time 13:00 - 16:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Tue 13.02.2024 time 13:00 - 16:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Tue 27.02.2024 time 13:00 - 16:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Tue 05.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Tue 12.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 21.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 28.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 04.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 18.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 25.04.2024 time 09:30 - 12:00 (2 h 30 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Thu 02.05.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KMD658
Smart IoT -laboratorio
|
Tue 14.05.2024 time 09:00 - 12:00 (3 h 0 min) |
Enterprise Networking, Security and Automation TX00EI87-3006 |
KME759
Oppimistila
|
Objective
Enterprise Networking, Security, and Automation describes the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization 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
Virtualization, Software-defined networking and automation
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.
Assessment criteria, approved/failed
Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.