Undergraduate study programme

Ak.g.2014./2015.2015./2016.2016./2017.2017./2018.

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Information Theory PRK401

ECTS 5.5 | P 45 | A 15 | L 15 | K 0 | ISVU 41080

Course groups

Prikaži sve grupe na predmetu

Course lecturers

KRIŽANOVIĆ VIŠNJA, Associate
LIŠNJIĆ ANĐELKO, Associate
ŽAGAR DRAGO, Lecturer
MANDRIĆ-RADIVOJEVIĆ VANJA, Associate
JOVIĆ FRANJO, 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 assessment

Test examples from problem solving, oral examination.

Obligatory literature

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

2. "Gray, Robert M. .Entropy and Information Theory, Information Systems Laboratory Electrical Engineering Department Stanford University.New York, Springer-Verlag, 2013. "

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

Pretraži literaturu

Recommended additional literature

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

2. F. Jović, Teorija informacije - skripta, moodle.etfos.unios.hr, 2011.

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

4. F. Jović, Teorija informacije - skripta, moodle.etfos.unios.hr, 2011.

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

ECTS credits

An ECTS credit value has been added according to calculation of time required for studying and successful course completion.

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. Opisati osnovne elemente komunikacijskog sustava

3. Apply theoretical basics in problem solving.

4. Use a software tool in designing and simulating the basic elements of the information system.

5. Explain the basic concepts and application methods on appropriate examples

6. Propose an information system design for a simple problem

7. Compare simple information systems



Learning outcomes available only as desktop version    Export to Excel

Prvo unesite postotak evidencije nazočnosti!

Student's activity Workload ECTS (Workload/30) Learning outcomes
Upon successful completion of the course, students will be able to:
Teaching
method
Assessment method Points
Attendance
Lectures, Auditory exercises, Laboratory exercises

ECTS
Lectures, Auditory exercises, Laboratory exercises Attendance register. Mandatory attendance percentage is:
%

This percentage defines the minimum workload for the activity. The maximum is defined by the study programme.
Min

Max

Oral exam Workload
ECTS

Oral exam Assessment of student's answers Min

Max

Project presentation. Workload
ECTS

Project presentation. Grading a seminar paper and results presentation Min

Max

Σ Activities Σ Workload
0
Σ ECTS
0
Nisu svi ishodi odabrani! Σ Max
0