Učni načrt predmeta

Predmet:

Seminar III

Course:

Seminar III

Študijski program in stopnja / Study programme and level	Študijska smer / Study field	Letnik / Academic year	Semester / Semester
Informacijske in komunikacijske tehnologije, 3. stopnja	vsi	3	5
Information and Communication Technologies, 3rd cycle	all	3	5

Vrsta predmeta / Course type

Obvezni / Mandatory

Univerzitetna koda predmeta / University course code:

IKT3-785

Predavanja Lectures	Seminar Seminar	Vaje Tutorial	Klinične vaje work	Druge oblike študija	Samost. delo Individ. work	ECTS
	30			30	240	10

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:

prof. dr. Nada Lavrač

Sodelavci / Lecturers:

Jeziki / Languages:

Predavanja / Lectures:

Slovenski ali angleški / Slovene or English

Vaje / Tutorial:

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Vsebina:

Content (Syllabus outline):

Temeljna literatura in viri / Readings:

Cilji in kompetence:

Objectives and competences:

Predvideni študijski rezultati:

Intendeded learning outcomes:

Metode poučevanja in učenja:

Learning and teaching methods:

Načini ocenjevanja:

Delež v % / Weight in %

Assesment:

Seminarska naloga (članek s področja doktorske disertacije)

Seminar (scientific paper on the topic of the doctoral dissertation)

Ustna predstavitev in zagovor seminarske naloge

Oral presentation and defense of the seminar work

Seminar III študent opravi tako, da pred komisijo treh profesorjev predstavi svoje projektno delo na doktorskem študiju in dokaže celovito znanje z raziskovalnega področja študijskega programa. Z mentorjem uskladi datum in uro seminarja ter na info@mps.si najmanj en teden pred predstavitvijo sporoči datum, uro, prostor in naslov seminarja. Predsednik komisije je predstojnik študijskega programa ali njegov pooblaščeni predstavnik, člana komisije pa sta tudi mentor in praviloma vsaj en član komisije za oceno disertacije. Po opravljenem Seminarju III odda v tajništvo MPŠ izpolnjen in podpisan zapisnik Seminarja III, izpitno prijavnico za Seminar III, seminarsko nalogo (članek s področja doktorske disertacije) ter natisnjene prosojnice seminarja.

Seminar III assessment is based on the presentation of the student's doctoral project in front of a committee of three IPS professors, where the student also demonstrates comprehensive knowledge from the research field of the study programme. The student and the supervisor jointly set the date and time of the seminar. At least one week before the presentation, the student shall communicate the date, time, room and title of the seminar to info@mps.si. The Head of the study program or his authorised representative is the president of the commission, supervisor and in principle one of the members of the commission for the evaluation of the dissertation are also members. After presenting Seminar III, the student must submit to the IPS Secretariat the filled out and signed minutes of Seminar III, Seminar III exam application, printed seminar work (scientific paper on the topic of the doctoral dissertation), as well as printout of slides presented at the seminar.

Reference nosilca / Lecturer's references:

1.	J. Fürnkranz, D. Gamberger, and N. Lavrač, Foundations of Rule Learning. Springer, 2012.
2.	A. Vavpetič, V. Podpečan, and N. Lavrač, Semantic subgroup explanations. J. Intell. Inf. Syst. 42(2): 233-254, 2014.
3.	Petrič, B. Cestnik, N. Lavrač, and T. Urbančič, Outlier detection in cross-context link discovery for creative literature mining. The Computer Journal 55(1): 47-61, 2012.
4.	B. Sluban, D. Gamberger, and N. Lavrač, Ensemble-based noise detection: noise ranking and visual performance evaluation. Data Min. Knowl. Discov. 28(2): 265-303, 2014.
5.	M. Grčar, N. Trdin, and N. Lavrač. A methodology for mining document-enriched heterogeneous information networks. The Computer Journal, 56(3): 321-335, 2013.