Data Analytics (study plan)

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PřF BDADE Data Analytics

Name in Czech: Data Analytics
Bachelor's combined single-subject, language of instruction: English English

Included in the programme: PřF B-DAE Data Analytics

Povinné předměty (P+PV více než 135kr.) / Compulsory courses

Code	Name	Guarantor	Type of Completion	Extent and Intensity	Credits	Term	Profile Cat.
PřF:MDA101	Mathematics I	J. Slovák	zk	0/0/0	12	1	Z
PřF:MDA102	Mathematics II	J. Slovák	zk	0/0	8	1	Z
PřF:MDA103	Script Languages	I. Chrysikos	z	0/0/0	6	1	Z
PřF:MDA104	Introduction to Databases	V. Dohnal	zk	0/0/0	6	1	Z
PřF:MDA201	Mathematics III	J. Slovák	zk	0/0/0	12	2	Z
PřF:MDA202	Mathematics IV	J. Slovák	zk	0/0/0	8	2	Z
PřF:MDA203	Academic and Business Integrity, Writing, and Communication	T. Foltýnek	z	0/0/0	5	2	Z
PřF:MDA204	Introduction to Python	T. Foltýnek	z	0/0/0	6	2	Z
PřF:MDA301	Mathematics V	J. Slovák	zk	0/0	8	3	Z
PřF:MDA302	Probability	J. Koláček	zk	0/0/0	8	3	Z
PřF:MDA303	Introduction to Object-Oriented Languages	Z. Nevěřilová	z	0/0/0	6	3	Z
PřF:MDA304	Data Curation and Security	S. Sobolevsky	zk	0/0/0	8	3	Z
PřF:MDA401	Statistics	D. Kraus	zk	0/0/0	12	4	Z
PřF:MDA402	Project Management	J. Spurný	z	0/0/0	5	4	Z
PřF:MDA403	Applied Data Analytics	S. Sobolevsky	z	0/0/0	10	4	P
PřF:MDA701	Bachelor's practice/capstone project	S. Sobolevsky	z	0/0/0	30	4	P
					150 credits

Povinně-volitelné předměty / Selective courses

There are four blocks to select from.

1. Mathematics Advanced Selective

2. Machine Learning and AI

3. Complexity

4. Big Data

At least one course has to be chosen from the first block (12 credits)

Either two complete blocks have to be chosen from 2-4 (2 x 24 credits), or one of those blocks and complete selection of block 1 (again 2 x 24 credits).

Block 1

At least one of the three courses

Code	Name	Guarantor	Type of Completion	Extent and Intensity	Credits	Term	Profile Cat.
PřF:MDA501	Optimization and Modelling	P. Zemánek	zk	0/0/0	12	5	P
PřF:MDA502	Numerical Analysis and Scientific Computing	L. Přibylová	zk	0/0/0	12	5	P
PřF:MDA503	Geometric Analysis	K. Neusser	zk	0/0/0	12	5	P
					36 credits

Block 2

The first two courses are obligatory, if the block is chosen. Choose one of the remaining two.

Code	Name	Guarantor	Type of Completion	Extent and Intensity	Credits	Term	Profile Cat.
PřF:MDA504	Machine Learning Methods	T. Brázdil	zk	0/0/0	8	5	P
PřF:MDA505	Artificial Neural Networks	T. Brázdil	zk	0/0/0	8	5	P
PřF:MDA601	Natural Language Processing	A. Horák	zk	0/0/0	8	5	P
PřF:MDA602	Image Processing and Recognition	P. Matula	zk	0/0/0	8	5	P
					32 credits

Block 3

All courses are obligatory if this block is chosen.

Code	Name	Guarantor	Type of Completion	Extent and Intensity	Credits	Term	Profile Cat.
PřF:MDA506	Network Science	J. Spurný	zk	0/0/0	8	5	P
PřF:MDA603	Machine Learning and Algorithms on Graphs	V. Nováček	zk	0/0/0	8	6	P
PřF:MDA604	Modeling Complex Systems	J. Spurný	zk	0/0/0	8	6	P
					24 credits

Block 4

All four courses are obligatory if this block is chosen.