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: 2018./2019.

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

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.

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:

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
Pohađanje Predavanja (PR), Auditorne vježbe (AV), Laboratorijske vježbe (LV)3011,2,3,4,5,6,7Predavanja (PR), Auditorne vježbe (AV), Laboratorijske vježbe (LV)Predavanja (PR), Auditorne vježbe (AV), Laboratorijske vježbe (LV)14
Rješavanje zadataka401.33,5,6Kontrolne zadaće (pismeni ispit)Provjera riješenih zadataka1632
Pisanje priprema za LV, analiza rezultata, te pisanje izvještaja351.23,4,6Laboratorijske vježbe (LV)Provjera pripreme za LV, nadzor provođenja LV-a, provjera napisanih izvještaja1224
Priprema za usmeni ispit i usmeno odgovaranje na pitanja401.31,2,5,6,7Usmeni ispitProvjera danih odgovora1530
Seminarski rad200.75,6,7Izrada i prezentacija seminarskog radaOcjena seminara i prezentacije rezultata610