Applied Mathematics - full-time, starting in winter sem., Applied Mathematics 2019

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 420
07 19 0105 90 Differential Equations 5 45 45 E
07 19 0103 90 Functional Analysis 5 45 30 E
07 19 0101 90 Graphs and their Applications 5 30 30 15 C
07 19 0104 90 Introduction to Numerical Methods 5 30 30 C
07 19 0106 90 Mathematical Statistics 5 30 30 C
07 19 0102 90 Probability Theory 5 30 30 E

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 390
07 19 0202 90 Bayesian Methods in Statistics 6 45 45 E
07 19 4201 90 Databases and Data Warehouses 5 30 30 E
22 91 0530 00 Foreign Language for Academic and Professional Purposes 2 30 C
07 19 4202 90 Machine Learning 5 30 30 30 C
07 19 0201 90 Methods and Algorithms of Opimization 4 30 30 C
07 19 0203 90 Topology in Applications 4 30 30 E
set 2 of elective courses none 4

set 2 of elective courses - none

Course unit code Course unit title ECTS L T Lab P S O Exam
07 19 0211 90 Operational Research in Logistics 4 30 15 30 C
07 19 0212 90 Assessment of Consumer Credit Risk and Insurer's Insolvency Risk 4 15 30 30 C
07 19 0213 90 Elements of Biomathematics 4 15 30 30 C
07 19 0214 90 Creating Business Intelligence tools 4 15 30 30 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 4402 90 Advanced Data Exploration in Java 5 30 30 C
07 19 4403 90 Big Data Analysis 5 30 30 C
07 19 0303 90 Diploma proseminar 1 15 C
07 19 4401 90 Game Theory in Supply Chain Management 5 30 30 E
07 19 0304 90 Professional ethics and protection of intellectual property 2 30 C
07 19 0301 90 Statistical information systems in data analysis 4 30 30 E
07 19 0302 90 Techniques of reporting and data visualization 4 30 30 C
set 2 of elective courses none 4

set 2 of elective courses - none

Course unit code Course unit title ECTS L T Lab P S O Exam
07 19 0311 90 Functional Applied Analysis 4 30 30 C
07 19 0312 90 Basics of Ergodic Theory 4 30 30 C
07 19 0313 90 Reinforcement Learning and Deep Learning 4 30 30 C
07 19 0314 90 Selected Applications of Differential Equations in Medicine, Technology and Finances 4 30 30 C
07 19 0315 90 Selected Topics of Mathematical Econometrics 4 30 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 197
07 19 0407 90 Competence Exam 0 E
07 19 0401 90 Diploma Seminar 1 24 C
07 19 0405 90 Diploma Thesis 20 15 C
07 19 0404 90 Mathematics Philosophy 1 21 C
07 19 4404 90 Optimization Problems in Logistics 3 30 30 E
07 19 0402 90 Principles of the Functioning of Companies and the Basics of Entrepreneurship 2 30 C
07 19 0403 90 Selected Topics of Competence Exam 3 45 C