Applied Mathematics - full-time, starting in winter sem., Applied Mathematics 2023
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 300 | |||||||||
07 19 0108 70 | Numerical Liniear Algebra | 5 | 20 | 30 | C | ||||
07 19 0102 70 | Probability Theory | 6 | 30 | 30 | E | ||||
07 19 0101 70 | Selected Applications of Mathematics I | 5 | 75 | C | |||||
07 19 0104 70 | Statistical data analysis | 6 | 20 | 20 | C | ||||
set 2 of elective courses | none | 8 |
set 2 of elective courses - none
Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
---|---|---|---|---|---|---|---|---|---|
07 19 0105 70 | Optimization methods in finance and insurance | 8 | 90 | C | |||||
07 19 0106 70 | Game Theory in Decision Making | 8 | 90 | C | |||||
07 19 0107 70 | Machine Learning | 8 | 90 | 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 365 | |||||||||
07 19 0201 70 | Discrete Optimization Algorithms | 5 | 30 | 20 | C | ||||
22 91 0630 10 | Foreign Language - Scientific Skills | 2 | 45 | C | |||||
07 19 0202 70 | Functional Analysis with Topology | 5 | 30 | 30 | E | ||||
07 19 0203 70 | Mathematical Statistics | 5 | 30 | 30 | C | ||||
07 19 0204 70 | Selected Applications of Mathematics II | 5 | 75 | C | |||||
set 2 of elective courses | none | 8 |
set 2 of elective courses - none
Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
---|---|---|---|---|---|---|---|---|---|
07 19 0205 70 | Abstract methods in phenomena modeling | 8 | 90 | C | |||||
07 19 0206 70 | Methods of Valuation of Financial Instruments | 8 | 90 | C | |||||
07 19 0207 70 | Artificial Neural Networks and Deeplearning | 8 | 90 | C |
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 345 | |||||||||
07 19 0301 70 | Data Visualisation and Business Intelligence | 5 | 20 | 30 | C | ||||
07 19 0303 70 | Differential Equations | 5 | 30 | 30 | E | ||||
07 19 0304 70 | Professional ethics and protection of intellectual property | 2 | 25 | C | |||||
07 19 0302 70 | Selected applications of Bayesian methods | 5 | 30 | 30 | C | ||||
07 19 0307 70 | Selected applications of mathematics III | 5 | 75 | C | |||||
set 2 of elective courses | none | 8 |
set 2 of elective courses - none
Course unit code | Course unit title | ECTS | L | T | Lab | P | S | O | Exam |
---|---|---|---|---|---|---|---|---|---|
07 19 0305 70 | Functional and Data Analysis Methods in Insurance | 8 | 90 | C | |||||
07 19 0306 70 | Databases, Data Warehouses and Elements of BIG DATA | 8 | 90 | C | |||||
07 19 0308 70 | Dynamical systems with applications in physical and life sciences | 8 | 90 | 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 155 | |||||||||
07 19 0404 70 | Diploma Thesis | 20 | 15 | C | |||||
07 19 0401 70 | Diploma seminar | 3 | 40 | E | |||||
07 19 0402 70 | Mathematics Philosophy | 1 | 15 | C | |||||
07 19 0403 70 | Practical Applications of Mathematics in Technology | 4 | 30 | C | |||||
07 19 0405 70 | Principles of the functioning of companies and | 2 | 20 | C |