14. 10. 2019  15:46 Boris
Akademický informačný systém

Sylabus predmetu D-VP3-AI - Scientific work III (FEEIT - 2018/2019 - post-graduate studies)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: D-VP3-AI
Course unit title: Scientific work III
Mode of delivery, planned learning activities and teaching methods:
project/semestral paper2 hours weekly (on-site method)

Credits allocated: 15
Recommended semester/trimester: Applied Informatics - doctoral (compulsory), 2. year
Level of study: 3.
Prerequisites for registration: none
Assesment methods:
Obtaining at least 15 points (credits) for publication and other activities. Point awarding is done with respect to Criteria for assessment of research, development, artistic and other creative activities in scope of complex accreditation of universities in research.

Research result assessment:

category A output: 20 points
category B output: 10 points
category C output: 5 points
category D output: 3 points

Citation registered by international databases WoS or Scopus: 10 points
Citation registered by international databases Google Scholar: 5 points

Active presentation of research results at international conference in a world language: 5 points
Other activity in research team (assessed by supervisor): 0-5 points
Acquisition of student grant: 5 points
Learning outcomes of the course unit:
Acquisition of methodological experience and habits necessary for individual and team research work. Obtaining the ability to publish in scientific journals and international conferences. Obtaining novel research results which get accepted by the international research community.
Course contents:
1. Analysis of state of the art based on related work review, with relevance to PhD study goals.
2. Fulfillment of research tasks on individual basis or within a research team. Progress report preparation on obtained research results.
3. Activity related to preparation of project proposals.
4. Publishing on research journals and international research conferences, and active presentation of obtained results.
Recommended or required reading:
Učebnice a monografie, časopisy a iné zdroje, ktorých výber je konzultovaný so školiteľom.

Language of instruction: slovak or english
This class can lead any eligible supervisor, supervisor list is not provided.
Courses evaluation:
Assessed students in total: 14

100,0 %0 %
Name of lecturer(s):
Last modification: 30. 7. 2018
Supervisor: Dr. rer. nat. Martin Drozda and programme supervisor

Last modification made by RNDr. Marian Puškár on 07/30/2018.

Typ výstupu: