||Location: kokonaan verkossa / full digi |
||M.Sc. (Tech.) 1 |
|Teacher(s) in Charge
Pedro Nardelli, D.Sc. (Tech.), Assistant professor (tenure track)
After this course, the students will be able to analyze and design simple wireless communication networks. This includes queuing theory, models of wireless networks (regular grids, random), medium access control, error control, and performance analysis.
(1) Introduction to communication networks, (2) Review of probability theory and stochastic processes, (3) Fundamentals of queuing theory, (4) Models of wireless networks, (5) Medium access control, (6) Error control techniques, (7) Performance analysis of wireless networks.
Lectures 14 h (7 x 2h) and tutorials using Jupyter notebooks 14 h (7 x 2h) . Weekly homework 14 h. Final work 24 h. Independent studies 38 h. Total workload 104 h.
|Examination in Examination schedule (Yes/No)
|Examination in Moodle (Yes/No)
|Examination in Exam (Yes/No)
|Assessment scale and assessment methods
Grade = Weekly assignments 60% + Final work 40%.
 Bertsekas, D. P., and Gallager,R.G., 1987. Data networks (2ndEdition). Prentice-hall. Available at:
 Marsic, Ivan. Computer networks: Performance and qualityof service. Rutgers University. 2013. Available at:
Probability theory and basic programming skills. Introduction to IoT-based systems, wireless communication systems, and/or computer networks are desirable (but not mandatory).
|Limitation for students? (Yes, number, priorities/Leave empty)
||Target students: Electrical engineering |
|Places for exchange-students? (Yes, number/No)
||max 15 |
|Places for Open University Students?(Yes, number/No)
||max 15 |