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Communication Technology II

This is the study programme for 2020/2021.

This course builds and expands on the contents of DAT230 Communication Technology 1. Key topics include LAN/WAN switching and routing protocols, quality of service, and recent advancements in computer networking - e.g., IoT, cloud-based and software-defined networking. The completion of this course together with DAT230 and additional independent studies provides the student with the necessary skills to obtain the Cisco CCNA certification.

Learning outcome

After completing this course the student will be able to have a detailed understanding of the communication networks design, operation and protocols with emphasis on network scalability and programmability for state-of-the-art network technologies and topologies.
Skill set: the student will be able to:
  • Implement IP addressing and services in a communication network.
  • Configure (and troubleshoot) VLAN switches
  • Deploy various routing protocols and strategies on network components.
  • Construct (and troubleshoot) larger networks.

The acquired skillset will be mainly based on but not limited to Cisco’s networking hardware and software solutions.
General qualifications: After taking this course the student will be able to:
  • Analyze computer networks.
  • Gain sufficient expertise in design and managing of communications networks
  • Make assessments that are necessary in order to identify the key performance metrics and requirements.
  • Implement solutions to improve the network performance.


The course builds and expands on DAT230 Communication Technology 1.
It provides a detailed overview of how Local Area Networks (LANs) are configured and scaled by utilizing modern switching and routing technologies. In doing so, it discusses multiple dynamic routing protocols (e.g., OSPF and EIGRP). Further, it provides an overview of Wide Area Networks (WAN) technologies and protocols with a focus on encapsulation, tunnelling and routing protocols for branch and P2P connections over WANs (e.g., VPN, BGP, GRE, IPSec and MPLS) and will also briefly overview general aspects of network security and monitoring in such environments. Further, Quality of Service (QoS) in the network will be discussed. This will include discussion of QoS strategies at different network stack layers e.g., AQM and queueing strategies, Diffserv and Intserv.
In the latter part of the course, the state-of-the-art networking trends and evolution of communication networks (and Internet technologies) at multiple layers of the networking stack will be discussed. Among other things, this will include the latest trends on network softwarization and virtualization concepts using SDN and NFV in the cloud and network edge environments particularly in the context of upcoming 5G mobile networks. The course will also highlight certain advancing areas in network evolution particularly at transport and application layers such as QUIC, HTTP2|3 and their recent IETF-related activities.
It is worth noting that the course curriculum comprises of both lecture and lab sessions. The completion of this course together with DAT230 and additional independent studies provides the student with the necessary skills to obtain the Cisco CCNA certification.

Required prerequisite knowledge

DAT230 Communication Technology I
10 ECTS in Computer Networking or Data Communication


Written and oral exam
Weight Duration Marks Aid
Written exam45/1004 hoursA - F
Oral exam55/10030 minutesA - F
Written exam counts 60% of the final grade. Oral exam counts 40% of the final grade.
The written exam is a digital multiple choice exam.
Allowed aids for oral and written exams: Definite, basic calculator allowed.
The candidate must have passed both oral and written exams to get a final grade.

Coursework requirements

Compulsory assignments
The student must fulfill all of the following criteria in order to be granted access to the oral and written final exams:
  • approval of the 90% of chapter assignments
  • approval of all lab assignments which are held throughout the semester

Course teacher(s)

Course coordinator
Gianfranco Nencioni
Course teacher
Tuan Williams
Head of Department
Tom Ryen

Method of work

In total 8 hours per week including lectures, and lab sessions that include group work, exercises,and assignments.

Open to

Computer Science- Bachelor's degree programme in computer science
Industrial Automation and Signal Processing - Master's Degree Programme - 5 year

Course assessment

Form and /or discussion with current guidelines.


Link to reading list

This is the study programme for 2020/2021.

Sist oppdatert: 25.09.2020