All the fields of full-time and combined study modes are displayed for the faculty selected. The system processes the information collected over the last 4 terms. For each field of study, the System selects all the programmes of study in which the field was active on the day the teaching period started in the term. Only the programmes which started with proper enrolment are taken into account (those which started with a student migrating from another programme and the ones with more than two courses recognized, etc., are being ignored). The System takes into account the enrolment in the courses which are included in grade average calculations, offered within regular terms, and not recognized. For every enrolment instance, the System finds out how many fields were active in the programme of study on the day the teaching period started for the term. If it is only one, the enrolment instance is included in the calculation for the given field. If the programme has more than one active field, the System tries to find out whether there is any field associated with the enrolment instance. If this is the case, the field is used, and if not, the System searches for the fields the course is directly associated with. The course is included in the calculation only for those fields of the programme to which the course is directly associated with. If none of the fields the course is directly associated with are the active fields on the day the teaching period starts for the term, the enrolment instance is included in the calculation for all the active fields of the programme of study. The term used is the one the Office for Studies specifies for the active field as valid as of the start of teaching period in the term. The percentage gives the ratio of all the programmes of study having the field as active in the term on the day the teaching period starts to the same programmes of study with the course enrolled in. Only the first enrolment in the course within the programme is being taken into account; repeated enrolments are ignored (i.e. in the situations where the student failed to complete the course before and thus re-enrolled in it). The enrolment instances with the percentage lower than 10 are being ignored. The number of terms displayed corresponds to the standard length of studies.

Processing and analysis of large-scale data (master's full-time specialized)

1st year
1st term
FI:PA017 Information Systems Management • 55 %
FI:PA220 Database systems for data analytics • 45 %
FI:IV126 Fundamentals of Artificial Intelligence • 36 %
FI:MA012 Statistics II • 36 %
FI:PA128 Similarity Searching in Multimedia Data • 36 %
FI:PA152 Efficient Use of Database Systems • 36 %
FI:PA212 Advanced Search Techniques for Large Scale Data Analytics • 36 %
FI:PV021 Neural Networks • 36 %
FI:PV251 Visualization • 36 %
FI:PA039 Supercomputer Architecture and Intensive Computations • 27 %
FF:KSCB090 Vietnam War • 18 %
FI:PA195 NoSQL Databases • 18 %
FI:PB016 Introduction to Artificial Intelligence • 18 %
FI:PB154 Database Systems • 18 %
FI:PV056 Machine Learning and Data Mining • 18 %
FI:PV253 Seminar of DISA Laboratory • 18 %
2nd term
FI:PV056 Machine Learning and Data Mining • 80 %
FI:PA039 Supercomputer Architecture and Intensive Computations • 60 %
FI:PA152 Efficient Use of Database Systems • 60 %
FI:PA212 Advanced Search Techniques for Large Scale Data Analytics • 60 %
FI:PA128 Similarity Searching in Multimedia Data • 40 %
FI:PA165 Enterprise Applications in Java • 40 %
FI:PA228 Machine Learning in Image Processing • 40 %
FI:PV211 Introduction to Information Retrieval • 40 %
FF:SUS_213 Libretto or Music: what is in opera more important? • 20 %
PřF:MF002 Stochastical analysis • 20 %
PřF:M7960 Dynamical Systems • 20 %
PřF:M8PNM2 Advanced numerical methods II • 20 %
FI:DUCIT Teaching Lab • 20 %
FI:IV126 Fundamentals of Artificial Intelligence • 20 %
FI:MA010 Graph Theory • 20 %
FI:MA012 Statistics II • 20 %
FI:MA017 Geometric Algorithms • 20 %
FI:PA017 Information Systems Management • 20 %
FI:PA036 Database System Project • 20 %
FI:PA179 Project Management • 20 %
FI:PA220 Database systems for data analytics • 20 %
FI:PB162 Java • 20 %
FI:PV188 Principles of Multimedia Processing and Transport • 20 %
FI:PV229 Multimedia Similarity Searching in Practice • 20 %
FI:PV251 Visualization • 20 %
PdF:TI9015 Elandio: a system of shared education • 20 %
2nd year
3rd term
FI:PA195 NoSQL Databases • 63 %
FI:PV021 Neural Networks • 50 %
FF:DSBCB46 The Role of the Dog and the Elephant in Antiquity • 25 %
FI:PA017 Information Systems Management • 25 %
FI:PV079 Applied Cryptography • 25 %
FI:PV179 System Development in C#/.NET • 25 %
FI:PV251 Visualization • 25 %
FI:PV253 Seminar of DISA Laboratory • 25 %
FF:CORE079 Logic for Everyone • 13 %
FF:CORE089 Philosophy in sci-fi • 13 %
FF:JPNB48 History of Japanese Comics • 13 %
FF:KSCB090 Vietnam War • 13 %
FF:KSCX01 Modern Chinese for non-major students I • 13 %
FF:SUS_222 Czech opera of the 19th century through the eyes of English and American musicology • 13 %
FI:DUCIT Teaching Lab • 13 %
FI:IV109 Modeling and Simulation • 13 %
FI:MA012 Statistics II • 13 %
FI:MV013 Statistics for Computer Science • 13 %
FI:PA165 Enterprise Applications in Java • 13 %
FI:PA200 Cloud Computing • 13 %
FI:PA220 Database systems for data analytics • 13 %
FI:PV097 Visual Creativity Informatics • 13 %
FI:PV173 Natural Language Processing Seminar • 13 %
FI:PV197 GPU Programming • 13 %
FI:PV217 Service Oriented Architecture • 13 %
FI:PV254 Recommender Systems • 13 %
FI:PV290 Chemoinformatics • 13 %
FI:PV292 Multiplatform Flutter Application Development • 13 %
PdF:SZ6072A E-COURSE: IT security and literacy in education • 13 %
PdF:TI9006A E-COURSE: Recycling – Everything You Can Make Out of Waste • 13 %
FSpS:CORE058 BIOHACKING - upgrade životního stylu • 13 %
CST:CORE042 Data – the Answer to the Ultimate Question of Life, the Universe, and Everything... • 13 %
4th term
FI:PA200 Cloud Computing • 100 %
FI:SDIPR Diploma Thesis • 50 %
FI:SOBHA Defence of Thesis • 50 %
FI:SZMGR State Exam (MSc degree) • 50 %
FI:PA228 Machine Learning in Image Processing • 38 %
FI:PV253 Seminar of DISA Laboratory • 38 %
FI:PA128 Similarity Searching in Multimedia Data • 25 %
FI:PA152 Efficient Use of Database Systems • 25 %
FI:PA212 Advanced Search Techniques for Large Scale Data Analytics • 25 %
FI:PV211 Introduction to Information Retrieval • 25 %
PdF:ONLINE_AG English Online - Grammar • 25 %
LF:AVLMS01 MUNI Mindful Minds • 13 %
FF:LJ402 Classical Mythology: Heroic myths • 13 %
FF:PLIN068 Applied Machine Learning • 13 %
FF:PLIN069 Applied Machine Learning Project • 13 %
FSS:PSYB1280 Psychology of an everyday life • 13 %
FSS:ZURN6404 Training of Communication and Management Skills • 13 %
PřF:XS450 Communication training • 13 %
FI:IV109 Modeling and Simulation • 13 %
FI:PA039 Supercomputer Architecture and Intensive Computations • 13 %
FI:PA165 Enterprise Applications in Java • 13 %
FI:PV056 Machine Learning and Data Mining • 13 %
FI:PV115 Laboratory of Knowledge Discovery • 13 %
PdF:FJ1028 French Course online • 13 %
PdF:SZ6072 E-COURSE: IT security and literacy in education • 13 %
PdF:TI9006 E-COURSE: We recycle - waste products • 13 %
PdF:TI9007 E-COURSE: Food preparation - tips and suggestions not only for school • 13 %

The information was preprocessed: 31/8/2024 11:29

All the fields of the faculty