Recommended study pathway Master specialization Computer Science, in Czech, 2018-2019
Study plan: Master specialization Computer Science, in Czech, 2018-2019
1st semester
Code | Course name tutor |
Completion | Credits | Range | Semester | Role |
MI-MPI | Mathematics for Informatics |
Z,ZK | 7 | 3P+2C | Z | compulsory course in the program |
MI-EVY.16 | Efficient Text Pattern Matching |
Z,ZK | 5 | 2P+1C | Z | PS |
MI-NON.16 | Nonlinear Continuous Optimization and Numerical Methods |
Z,ZK | 5 | 2P+1C | Z | PS |
MI-SYP.16 | Parsing and Compilers |
Z,ZK | 5 | 2P+1C | Z | elective course |
2nd semester
Code | Course name tutor |
Completion | Credits | Range | Semester | Role |
MI-PDP.16 | Parallel and Distributed Programming |
Z,ZK | 5 | 2P+2C | L | compulsory course in the program |
MI-VSM | Selected statistical methods |
Z,ZK | 8 | 4P+2C | L | compulsory course in the program |
NI-ADM | Data Mining Algorithms | Z,ZK | 5 | 2P+1C | L | PS |
MI-GAK | Graph theory and combinatorics |
Z,ZK | 5 | 2P+2C | L | PS |
MI-KOD.16 | Data Compression |
Z,ZK | 5 | 2P+1C | L | PS |
3rd semester
Code | Course name tutor |
Completion | Credits | Range | Semester | Role |
MI-KOP | Combinatorial optimization |
Z,ZK | 5 | 2P+2C | Z | compulsory course in the program |
MI-MPR | Master Project |
Z | 7 | Z,L | ||
NI-MVI | Computational Intelligence Methods | Z,ZK | 5 | 2P+1C | Z | PSelective course |
4th semester
Code | Course name tutor |
Completion | Credits | Range | Semester | Role |
NI-DIP | Diploma Project |
Z | 30 | L,Z | compulsory course in the program |