Cycle of education: 2020/2021
Course: Engineering and data analysis
Education area: sciences
Level of education: second degree study
Profile of education: practical
Form of study: full time
Speciality: Data analysis
Semester | Org.Unit | Module | L | C | Lab | P | Sum of hours | ECTS | Exam | Mand. |
---|---|---|---|---|---|---|---|---|---|---|
1 | FD | 15 | 0 | 0 | 0 | 15 | 2 | N | ||
1 | FF | Quantum information science | 15 | 15 | 0 | 0 | 30 | 2 | N | |
1 | FA | 30 | 45 | 0 | 0 | 75 | 4 | Y | ||
1 | FD | 15 | 15 | 15 | 0 | 45 | 3 | N | ||
1 | FB | 30 | 30 | 15 | 0 | 75 | 4 | Y | ||
1 | ES | Data cybersecurity policy | 15 | 0 | 0 | 30 | 45 | 3 | N | |
1 | FB | 0 | 0 | 0 | 15 | 15 | 3 | N | ||
1 | ES | Chosen subject I | 15 | 0 | 15 | 15 | 45 | 3 | N | |
1 | FD | 0 | 15 | 0 | 15 | 30 | 2 | N | ||
1 | ES | Advanced methods of data exploration | 20 | 0 | 25 | 15 | 60 | 4 | Y | Sum for semester: 1 | 155 | 120 | 70 | 90 | 435 | 30 | 3 | 0 |
2 | MT | 15 | 0 | 15 | 0 | 30 | 2 | N | ||
2 | FD | 30 | 0 | 30 | 0 | 60 | 3 | N | ||
2 | FB | 15 | 0 | 15 | 0 | 30 | 2 | N | ||
2 | ES | Python langauge in data analysis | 20 | 0 | 15 | 15 | 50 | 4 | Y | |
2 | ES | 0 | 0 | 0 | 15 | 15 | 2 | N | ||
2 | FA | Chosen subject II | 15 | 0 | 0 | 15 | 30 | 3 | N | |
2 | FD | 0 | 45 | 0 | 0 | 45 | 2 | N | ||
2 | FM | Multivariate statistics | 30 | 15 | 15 | 0 | 60 | 4 | Y | |
2 | ES | Selected issues of computer science and engineering in English | 0 | 15 | 0 | 15 | 30 | 2 | N | |
2 | ES | 15 | 0 | 15 | 15 | 45 | 3 | N | ||
2 | ES | 20 | 15 | 0 | 15 | 50 | 3 | Y | ||
Sum for semester: 2 | 160 | 90 | 105 | 90 | 445 | 30 | 3 | 0 | ||
3 | ZF | 15 | 30 | 0 | 0 | 45 | 2 | N | ||
3 | FX | Praca dyplomowa | 0 | 0 | 0 | 0 | 0 | 8 | N | |
3 | FB | 0 | 0 | 0 | 360 | 360 | 15 | N | ||
3 | FD | 0 | 45 | 0 | 0 | 45 | 2 | N | ||
3 | FF | Applications of machine learning in medicine | 30 | 0 | 30 | 15 | 75 | 3 | Y | |
Sum for semester: 3 | 45 | 75 | 30 | 375 | 525 | 30 | 1 | 0 | ||
TOTAL FOR ALL SEMESTER: | 360 | 285 | 205 | 555 | 1405 | 90 | 7 | 0 |