Master (scientific-pedagogical):

• - Pattern design of JavaScript (PDJ 5317)
• - Programming in Python (PP5307)

• - Statistical date processing (SDP 5305)

• - Programming in Pyton

• - Theoretical-numerical algorithms in cryptography (TNAS 5306)
• - Bayesian methods in applied problems
• - Mathematical and computer modeling of chemical and biological processes
• - Programming in Python (PP 5307.)

• - Modern methods of computational hydrodynamic
• - Machine learning technologies
• - Data Analysis in Python

• - Computer technology analysis of statistical data
• - Data Analysis in R
• - Machine Learning Techniques
• - Neural network modeling and forecasting in financial engineering

Bachelor:

• - Calculation methods analysis and algebra (CMAA 2210)

• - Programming in C ++

• - Mathematical models of financial markets (MMFM 3205)
• - Algorithms, Data Structures and Programming Languages (C ++) (ADSPL 2217)
• - Programming in Java
• - Algorithms, data structure and programming languages (ADSPL 2211)
• - StatisticalprogramminginR (SPR 4212)

• - Statistical modeling and data analysis (SMDA 3208)
• - Algorithms and Data Structures
• - Applied problems of statistical analysis
• - Web technologies (WT 3205)
• - The mathematics of money management
• - Programming Python
• - Database Management Systems (SMS 3225)
• - Artificial Intelligence (AI 4206)
• - Big data processing technologies

• - Algorithms and programming languages 1.
• - Algorithms and programming languages 2
• - Statistical R programming (SRP 3324)
• - Applied data processing methods in statistics (ADPMS 2215)

• - Number theory and encryption algorithm (NTEA 4305)
• - Object- oriented programming
• - The software package "Statistica"
• - Data Analysis in Python
• - Based Artificial Intelligence

Doctor PhD:

• - Artificial intelligence and neural Networks