| Course title |
Telecommunication Services Personalization |
| Acronym |
19M031PA |
| Study programme |
Electrical Engineering and Computing |
| Module |
Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and communication technologies, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering |
| Type of study |
master academic studies |
| Lecturer (for classes) |
|
| Lecturer/Associate (for practice) |
|
| Lecturer/Associate (for OTC) |
|
| ESPB |
6.0 |
Status |
elective |
| Condition |
None |
| The goal |
Introduce the students to the fundamentals and current state in personalized telecommunication services and applications. Introduce the students to the methods of content description, indexing and retrieval. Introduce them to machine learning techniques. |
| The outcome |
The students will master the skills required to plan, draft, and design personalized applications. In particular, they will be able to produce a working prototype of such application. |
- M. Bjelica: "Personalized Applications: Theory and Practice", ETF, 2016.
- Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze: Introduction to Information Retrieval, Cambridge University Press, 2008
- Ricci, F.; Rokach, L.; Shapira, B.; Kantor, P.B. (Eds.): Recommender Systems Handbook, Springer, 2011
- James Talbot, Justin McLean: Learning Android Application Programming: A Hands-On Guide to Building Android Applications, Addison-Wesley, 2014.
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