Applied Mathematics - full-time, starting in winter sem., Applied Mathematics 2020

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 480
07 19 0105 30 Differential Equations 5 30 30 E
07 19 0103 30 Functional Analysis 5 30 30 E
07 19 0101 30 Graphs and their Applications 5 30 20 10 C
07 19 0104 30 Introduction to Numerical Methods 5 30 30 C
07 19 0106 30 Mathematical Statistics 5 30 30 C
07 19 0102 30 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 415
07 19 0202 30 Bayesian Methods in Statistics 6 30 30 E
07 19 4201 30 Databases and data warehouses 5 30 30 E
22 91 0630 10 Foreign Language - Scientific Skills 2 45 C
07 19 4202 30 Machine Learning 5 30 30 C
07 19 0201 30 Methods and Algorithms of Opimization 4 30 15 C
07 19 0203 30 Selected Methods of General Topology 4 30 15 E
set 2 of elective courses 2020/21 4

set 2 of elective courses - 2020/21

Course unit code Course unit title ECTS L T Lab P S O Exam
07 19 0211 30 Operational research in logistics 4 30 15 C
07 19 0212 30 Assessment of Consumer Credit Risk and Insurer's Insolvency Risk 4 15 30 C
07 19 0213 30 Elements of biomathematics 4 15 30 C
07 19 0214 30 Creating Business Intelligence Tools 4 15 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 360
07 19 4402 30 Advanced data exploration in Java 6 30 30 C
07 19 4403 30 BIG DATA analysis 4 30 C
07 19 4401 30 Game Theory in Supply Chain Management 7 30 30 E
07 19 0304 30 Professional Ethics and Protection of Intellectual Property 2 25 C
07 19 0301 30 Statistical Information Systems in Data Analysis 6 30 30 E
set 2 of elective courses 2020/21 5

set 2 of elective courses - 2020/21

Course unit code Course unit title ECTS L T Lab P S O Exam
07 19 0311 30 Functional applied analysis 5 30 30 C
07 19 0312 30 Basics of ergodic theory 5 30 30 C
07 19 0313 30 Reinforcement learning and deep learning 5 30 30 C
07 19 0314 30 Selected applications of differential equations in medicine, technology and finances 5 30 30 C
07 19 0315 30 Selected topics of mathematical econometrics 5 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 182
07 19 0401 30 Diploma Seminar 3 30 C
07 19 0405 30 Diploma thesis 20 15 C
07 19 0404 30 Mathematics Philosophy 1 15 C
07 19 4404 30 Optimization Problems in Logistics 4 30 30 E
07 19 0402 30 Principles of the Functioning of Companies and Basics of Entrepreneurship 2 20 C