Undergraduate study programme

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Information Theory PRK401

ECTS 5.5 | P 45 | A 15 | L 15 | K 0 | ISVU 41080 | Academic year: 2017./2018.

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 requirements

Definirano Okvirima kriterija ocjenjivanja studenata FERIT-a i stavkom 1.9

Monitoring of students

Definirano Okvirima kriterija ocjenjivanja studenata FERIT-a i stavkom 1.9

Student assessment

Problem solving test examples, oral exam.

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 na:

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.

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

Provođenje sveučilišnih anketa o nastavnicima (pristup prema studentima, transparentnost kriterija, motivacija na
izvršavanje aktivnosti, jasnoća izlaganja, i sl.). Provođenje fakultetskih anketa o predmetima (nakon položenog predmeta
samoevaluacija studenata o usvojenim ishodima učenja, te o opterećenosti u usporedbi s ECTS-ima aktivnosti i predmeta
u cjelini).

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



Learning outcomes available only as desktop version    Export to Excel
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

30
ECTS
1
- define basic concepts in the field of information theory- describe the basic elements of a communication system- assess the correctness of applying theoretical basics in solving tasks- create a simulation of basic elements of the information system using a software tool- choose an appropriate coding method for the defined problem- propose an information system design for a simple problem- compare simple information systemsLectures, Auditory exercises, Laboratory exercises Attendance register. Mandatory attendance percentage is:
70%

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

1
Max

4
Practice – problem solving Workload
40
ECTS

1.3
- assess the correctness of applying theoretical basics in solving tasks- choose an appropriate coding method for the defined problem- propose an information system design for a simple problemMidterm exam Evaluation of (written) exercises Min

16
Max

32
Writing pre-lab write-ups, results analysis and writing laboratory reports Workload
35
ECTS

1.2
- assess the correctness of applying theoretical basics in solving tasks- create a simulation of basic elements of the information system using a software tool- propose an information system design for a simple problemLaboratory practice Assessment of pre-lab write-ups, supervision of laboratory exercises, evaluation of written reports Min

12
Max

24
Oral exam Workload
40
ECTS

1.3
- define basic concepts in the field of information theory- describe the basic elements of a communication system- choose an appropriate coding method for the defined problem- propose an information system design for a simple problem- compare simple information systemsOral exam Assessment of student's answers Min

15
Max

30
Seminar paper Workload
20
ECTS

0.7
- choose an appropriate coding method for the defined problem- propose an information system design for a simple problem- compare simple information systemscreation and presentation of seminar work Grading a seminar paper and results presentation Min

6
Max

10
Σ Activities Σ Workload
165
Σ ECTS
5.5
Σ Max
100