Data Networks and Information Security (5 cr)
Code: R0280-3001
General information
Enrollment
25.11.2019 - 01.12.2019
Timing
15.01.2020 - 15.03.2020
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
Mode of delivery
Distance learning
Unit
Laurea Leppävaara, tiko
Campus
Laurea Leppävaara
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Business Information Technology (NIA), Laurea Leppävaara
Teachers
- Seppo Koponen
- Riku Salmenkylä
Teacher in charge
Seppo Koponen
Groups
-
NIA219SA
Learning outcomes
The student is able to
- describe the structure and operation of data networks in relation to the following terms: Local area networks, wireless networks, internet
- describe the functionality of IP-networks and key internet protocols
- implement and maintain basic services in a local area network
- justify the importance of information security according to the CIA model (Confidentiality, Integrity and Availability)
- identify common information security threats faced by organizations
- implement basic level information security safeguards for local area network
Teaching methods
The study unit is based on working in Optima environment. There are on-line meetings during the implementation.
Learning materials and recommended literature
In addition to material presented in Optima workspace students are encouraged to use
CCENT/CCNA ICND1 Official Exam Certification Guide 2nd Ed. ciscopress.com
CCNA ICND2 Official Exam Certification Guide 2nd Ed. ciscopress.com (or 3rd Ed.)
and other material presented at the beginning of study unit.
Content and scheduling
The study unit introduces students to networking basics (mostly IP related networks and protocols) with emphasis to their impact on networks security. The contents are split into four themes that are scheduled to last for two weeks each. The themes begin with an on-line meeting/lecture, and continue with working on-line - either individually or in groups. The study unit implementation is designed to take the 1st half of the spring semester.
Grading scale
H-5
Evaluation methods and criteria
The evaluation is based on student's work in the assignments in Optima and his/her activity and participation during the on-line meetings.
Evaluation criteria, fail (0)
The student did not participate in the study unit implemetation, or did not demonstrate learning at an acceptable level.
Evaluation criteria, satisfactory (1-2)
The student demonstrated learning at adequate level and took part to some on-line meetings.
Evaluation criteria, good (3-4)
The student demonstrated good learning outcomes and participated actively during the study unit imlplementation.
Evaluation criteria, excellent (5)
The student demonstrated excellent learning outcomes and participated actively in the discussions during the study unit imlplementation and on-line meetings.