Mathematical Methods in Data Analysis - full-time, starting in winter sem., Mathematical Methods in Data Analysis - starting from 2022/23 academic year
Specialisation
Assesment methods:
C - credits are awarded based on continous assessment
E - credits are awarded based on continous assessment and final exam
Semester 1
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 450 | |||||||||
| 22 91 1520 10 | Academic English for Engineers 1 | 3 | 60 | C | |||||
| 04 51 0047 04 | Engineering Drawing | 2 | 10 | 20 | C | ||||
| 07 18 0102 60 | Information Technologies I | 4 | 30 | 30 | C | ||||
| 07 18 0101 60 | Introduction to Logic and Discrete Mathematics | 4 | 30 | 30 | C | ||||
| 07 18 0105 60 | Linear Algebra in Data Analysis | 7 | 30 | 40 | 20 | E | |||
| 07 18 0106 60 | Mathematical Analysis I | 6 | 30 | 45 | E | ||||
| 07 18 0103 60 | Physics | 3 | 30 | 15 | C | ||||
| 22 91 1552 00 | Study Skills for University | 1 | 30 | C | |||||
Semester 2
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 460 | |||||||||
| 22 91 1520 20 | Academic English for Engineers 2 | 1 | 30 | C | |||||
| 22 91 1553 10 | Civic Knowledge and Engagement 1 | 1 | 30 | C | |||||
| 07 18 0201 60 | Computer Aided Design | 3 | 15 | 30 | C | ||||
| 22 92 0500 10 | Foreign Language Block 1 | 3 | 60 | C | |||||
| 07 18 0202 60 | Information Technologies II | 4 | 45 | 15 | C | ||||
| 07 18 0205 60 | Introduction to Numerical Analysis | 2 | 30 | C | |||||
| 22 91 1550 00 | Introduction to PBL | 1 | 15 | C | |||||
| 07 18 0204 60 | Mathematical Analysis II | 6 | 30 | 30 | E | ||||
| 07 18 0206 60 | Modern Physics | 3 | 20 | 20 | C | ||||
| 23 92 3111 10 | Physical Education | 0 | 30 | C | |||||
| 07 18 0203 60 | Probability Theory for Data Analysts | 6 | 30 | 30 | E | ||||
Semester 3
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 435 | |||||||||
| 22 91 1520 30 | Academic English for Engineers 3 | 2 | 30 | C | |||||
| 07 18 0305 60 | Algorithms and Data Models | 4 | 30 | 30 | C | ||||
| 07 18 0304 60 | Applied Statistics | 5 | 30 | 30 | E | ||||
| 22 91 1553 20 | Civic Knowledge and Engagement 2 | 1 | 30 | C | |||||
| 07 18 0302 60 | Databases and Data Warehouses | 4 | 30 | 45 | C | ||||
| 22 92 0500 20 | Foreign Language Block 2 | 3 | 60 | C | |||||
| 02 96 6177 00 | Interdisciplinary Problem-based Learning Project | 5 | 30 | C | |||||
| 07 18 0303 60 | Mathematics of Data | 6 | 30 | 30 | E | ||||
| 23 92 3111 20 | Physical Education | 0 | 30 | C | |||||
Semester 4
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 415 | |||||||||
| 07 18 0405 60 | Basics of Economics and Financial Mathematics | 2 | 15 | 15 | C | ||||
| 22 91 1553 30 | Civic Knowledge and Engagement 3 | 1 | 30 | C | |||||
| 07 18 0402 60 | Differential Equations in Modeling | 4 | 30 | 30 | E | ||||
| 22 92 0500 30 | Foreign Language Block 3 | 2 | 30 | C | |||||
| 07 18 0406 60 | Multivariate Data Analysis | 4 | 30 | 30 | C | ||||
| 07 18 0404 60 | Numerical Methods and Optimisation | 5 | 30 | 30 | C | ||||
| 23 92 3111 30 | Physical Education | 0 | 30 | C | |||||
| 07 18 0401 60 | Team Project - Applied Models of Data Analysis | 6 | 40 | C | |||||
| 07 18 0403 60 | Testing Statistical Hypotheses | 6 | 30 | 15 | 30 | E | |||
Semester 5
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 345 | |||||||||
| 07 18 0501 60 | Capstone Module | 9 | 90 | C | |||||
| 22 91 1553 40 | Civic Knowledge and Engagement 4 | 1 | 30 | C | |||||
| 07 18 0502 60 | Graph Theory & Social Networks | 4 | 30 | 30 | C | ||||
| 07 18 0504 60 | Machine Learning | 4 | 30 | 30 | C | ||||
| 07 18 0505 60 | Methods of Data Reporting and Visualisation | 2 | 30 | C | |||||
| 07 18 0503 60 | Time Series and Prediction | 4 | 30 | 45 | E | ||||
| set 3 of elective courses | Elective Courses | 6 | |||||||
set 3 of elective courses - Elective Courses
Students are obliged to choose any first cycle course from the university's offer.
Semester 6
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 30.0 Total of teaching hours 0 | |||||||||
| set 3 of elective courses | Mobility Semester | 30 | |||||||
set 3 of elective courses - Mobility Semester
Elective Courses from a partner university
Semester 7
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| Total of credits 26.0 Total of teaching hours 175 | |||||||||
| 07 18 0703 60 | Data Storytelling and Business Intelligence | 2 | 15 | 30 | C | ||||
| 07 18 0701 60 | Diploma Seminar | 4 | 45 | E | |||||
| 07 18 0702 60 | Final Project | 15 | 10 | C | |||||
| 07 18 0705 60 | Industrial Placement | 4 | C | ||||||
| 07 18 0704 60 | Towards Big Data | 3 | 30 | 30 | C | ||||
| set 1 of elective courses | Elective Courses | 2 | |||||||
set 1 of elective courses - Elective Courses
| Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
|---|---|---|---|---|---|---|---|---|---|
| 07 18 0706 60 | Selected Problems of Algebra | 2 | 15 | 30 | C | ||||
| 07 18 0707 60 | Selected Problems of Applied Statistics | 2 | 30 | 15 | C | ||||
| 07 18 0708 60 | Advanced Algorithms in Data Science | 2 | 15 | 30 | C |