Seminar for Computer Science and Mathematics students

There are no prerequisites.

At meetings with the seminar organizer, the students present their work towards the Master's theses. By presenting his or her Master's thesis, the student gains a deeper understanding of the subject and improves his or her presentation skills. At the same time the students get prepared for the presentation of their final Master’s thesis. The listeners learn more about the work of other students. The seminar organizer also prepares some lectures about making the Master’s thesis or invites other specialists.
The seminar naturally complements the Master’s thesis. Within the course students can attend professional meetings.

Justin Zobel, Writing for Computer Science, second edition, Springer, 2004.
D. Evans and P. Gruba, How to Write a Better Thesis, Second edition, Melbourne University Press, Melbourne, 2002.
Herman T. : Ethics and Technology: Controversies, Questions, and Strategies for Ethical Computing, Wiley, 3 edition, 2010.
Članki v raziskovalnih revijah in znanstvene monografije, ki jih študentje potrebujejo pri pisanju svojega magistrskega dela.

The student learns more about work done by other students and improves his or her presentation skills.

Knowledge and understanding:
Oral presentation of one's work and understanding the work of other students.
Application:
Preparation of efficient presentations of technical content.
Reflection:
Exposure to the work of other students in other. Methods of effective communication.
Transferable skills:
Efficient presentation of technical content.

Student’s presentations of Master's theses, lectures of the seminar organizer or other specialists.

active participation and short presentation of master thesis in the first semester
presentatation of main results of master thesis in the second semester

Grading: pass/fail

Matej Kristan:
– KRISTAN, Matej, PERŠ, Janez, PERŠE, Matej, KOVAČIČ, Stanislav. Closed-world tracking of
multiple interacting targets for indoor-sports applications. Computer vision and image
understanding, ISSN 1077-3142. [Print ed.], May 2009, vol. 113, no. 5, str. 598-611. [COBISS-SI-ID
6401620]
– KRISTAN, Matej, KOVAČIČ, Stanislav, LEONARDIS, Aleš, PERŠ, Janez. A two-stage dynamic model
for visual tracking. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, ISSN
1083-4419. [Print ed.], Dec. 2010, vol. 40, no. 6, str. 1505-1520, ilustr. [COBISS-SI-ID 7709524]
– KRISTAN, Matej, LEONARDIS, Aleš, SKOČAJ, Danijel. Multivariate online kernel density estimation
with Gaussian kernels. Pattern recognition, ISSN 0031-3203. [Print ed.], 2011, vol. 44, no. 10/11,
str. 2630-2642, ilustr. [COBISS-SI-ID 8289876]
– ČEHOVIN, Luka, KRISTAN, Matej, LEONARDIS, Aleš. Robust visual tracking using an adaptive
coupled-layer visual model. IEEE transactions on pattern analysis and machine intelligence, ISSN
0162-8828. [Print ed.], Apr. 2012, vol. 35, no. 4, str. 941-953, ilustr. [COBISS-SI-ID 9431124]
– SULIĆ KENK, Vildana, MANDELJC, Rok, KOVAČIČ, Stanislav, KRISTAN, Matej, HAJDINJAK, Melita,
PERŠ, Janez. Visual re-identification across large, distributed camera networks. Image and vision
computing, ISSN 0262-8856. [Print ed.], Feb. 2015, vol. 34, str. 11-26. [COBISS-SI-ID 10896980]

Matija Pretnar:
– PLOTKIN, Gordon, PRETNAR, Matija. Handling algebraic effects. Logical methods in computer science, ISSN 1860-5974, 2013, vol. 9, iss. 4, paper 23 (str. 1-36) [COBISS-SI-ID 16816729]
– PRETNAR, Matija. Inferring algebraic effects. Logical methods in computer science, ISSN 1860-5974, 2014, vol. 10, iss. 3, paper 21 (str. 1-43) [COBISS-SI-ID 17190745]
– BAUER, Andrej, PRETNAR, Matija. An effect system for algebraic effects and handlers. Logical methods in computer science, ISSN 1860-5974, 2014, vol. 10, iss. 4, paper 9 (str. 1-29). http://arxiv.org/pdf/1306.6316 [COBISS-SI-ID 17191001]