Artificial Intelligence and The Internet of Things, Master's Programme
Artificial Intelligence, 5-year master programme
Language of instruction
On successful completion of the course, the students should
have the knowledge of Internet telephoning protocols and services
have knowledge of mobility in the Internet and the related protocols
understand the concept of QoS and QoE, and its supporting strategies
understand the static state analysis of Markov chain models
be able to analyze and evaluate basic queuing strategies in computer networks
understand the performance evaluation process of an Internet protocol by simulations or by mathematics modelling
understand the concept of SDN and NFV.
Review of TCP/IPv4 services, protocols and routing. IPv6 basics, IPv6 essential functions and services, and mobile IPv6. Internet telephony and protocols. Multiprotocol label switching. Network management and software defined network, Quality of Service, Quality of Experience. Queuing. Performance evaluations (via Markov chain analysis and network simulations).
Lectures, seminars, group assignments, supervised written assignments and self-study.
The workload for the average student is approximately 200 hours.
Compulsory assignments must be approved in order to take the examination. An overview of the compulsory assignments will be given at the start of the semester.
Assessment methods and criteria
Written examination, 4 hours. Graded assessment.
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Offered as Single Standing Module
Yes. Subject to availability or capacity.
Admission Requirement if given as Single Standing Module
Admission requirements for the course are the same as for the master’s programme in ICT, the Communication Technologies profile.