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| Semester | fall semester 2018 |
| Course frequency | Irregular |
| Lecturers | Volker Roth (volker.roth@unibas.ch, Assessor) |
| Content | - probabilities, random variables - measuring uncertainty: entropy, relative entropy and mutual information - data compression - channel coding - communication over channels |
| Learning objectives | After completion of this course you should understand - why and how to measure the amount of uncertainty - the meaning of probabilities, entropies, mutual informations etc. - the principles of coding, compression, communication and information retrieval. |
| Bibliography | David J.C. MacKay: Information Theory, Inference, and Learning Algorithms Thomas M. Cover and Joy A. Thomas: Elements of Information Theory |
| Admission requirements | Introductory courses in mathematics and statistics |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science) Modul: Wahlbereich Informatik (Bachelor's degree subject: Computer Science (Start of studies before 01.08.2016)) Module Specialisation: Computational Intelligence (Bachelor's Studies: Computer Science (Start of studies before 01.08.2016)) Module: Applications and Related Topics (Bachelor's Studies: Computer Science) |
| Assessment format | continuous assessment |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Informatik |