Enterprise Networking, Security and Automation (5 cr)
Code: TX00EI87-3005
General information
- Enrollment
-
01.01.2020
Registration for the implementation has ended.
- Timing
-
01.08.2023 - 31.12.2023
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
-
LT6423SProfessional Development Program in Information Technology
- Course
- TX00EI87
Implementation has 11 reservations. Total duration of reservations is 34 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 26.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Tue 03.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Tue 10.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 26.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 02.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 09.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 16.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 23.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 30.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Thu 07.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
Tue 12.12.2023 time 16:00 - 20:00 (4 h 0 min) |
EXAMS: Yritysverkkojen konfigurointi, tietoturva ja automaatio TX00EI87-3005 |
KMD658
Smart IoT -laboratorio
|
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.