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Information Theory RZ214

ECTS 5.5 | P 45 | A 15 | L 15 | K 0 | ISVU 133690 150781 | Academic year: 2019./2020.

Course groups

Prikaži sve grupe na predmetu

Course lecturers

JOB JOSIP, Associate

Course description

Nature of information. Information sources and users. Events and information. Information layers: stochastic, syntax, semantic, pragmatic, apobetic. Information redundancy. Entropy. Entropy on the information channel. Codes. Markov chains. Syntactic aspect of information: rules and syntax forms. Semantic parameters: actuality, existence, reachability, relevance and importance. Measurement of a semantic information aspect: SIT. Natural languages. Bioinformatics. Signal and information: BT. Analytic and asymptotic signals. Noise and information channel coding: Shannon’s theorem. Bayes’ postulate and theorem. Optimum code. Coding time. Complex data processing: selection, filtering, classification and presentation. Qualitative and quantitative information aspects. Železnikar’s theses. Information agents: independent, team and social. Information agent construction. Web agents.

Knowledge and skills acquired

Determining the information source, coding and information transmission, information source evaluation, information processing, construction of information agents.

Teaching methods

Mandatory lectures and laboratory exercises.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Student assessment

Problem solving test examples, oral exam.

Obligatory literature

1. 1 Sinković, V. Informacija, simbolika i semantika Zagreb: Školska knjiga,1997.

2. 2 Gray, Robert M. Entropy and Information Theory Information Systems Laboratory Electrical Engineering Department Stanford University. New York, Spri

3. 3 Ž. Pauše Uvod u teoriju informacije Školska knjiga, Zagreb, 1989.

4. 4 V. Matković i V. Sinković Teorija informacije Školska knjiga Zagreb, 1984.

Pretraži literaturu na:

Recommended additional literature

1. 1 I. S. Pandžić i dr. Uvod u teoriju informacije i kodiranje Element, Zagreb, 2007.

Examination methods

Written and oral exam.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. define basic concepts in the field of information theory

2. describe the basic elements of a communication system

3. assess the correctness of applying theoretical basics in solving tasks

4. create a simulation of basic elements of the information system using a software tool

5. choose an appropriate coding method for the defined problem

6. propose an information system design for a simple problem

7. compare simple information systems

Aktivnosti studenta: Vidi tablicu aktivnosti