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Courses HSE/Skoltech


1st year

Basic Courses

Modern Methods of Data Analysis: Stochastic Calculus 

Credits: 9;     University: HSE;     Module: 1-2.
 
 


Elective from the HSE Catalog "MAGO-LEGO"

Credits: 3;     University: HSE;             Module: 3,4. 

 

Numerical Linear Algebra

Credits: 6;     University: Skoltech;     Module: 2.

Modern Methods of Decision Making: Advanced Statistical Methods

Credits: 3;     University: HSE/Scoltech;     Module: 4.
 
Machine Learning

Credits: 6;     University: Scoltech;     Module: 3. 
High-dimensional Statistical Methods

Credits: 6;     University: HSE;    Module: 3.
 
Elective Courses

Introduction to Data Science 

Credits: 3;     University: Skoltech;    Module: 1.
 

Introduction to Artificial Intelligence

 

Credits: 3;     University: Skoltech;    Module: 1.

 

 

 

Efficient Algorithms and Data Structures

Credits: 6;     University: Skoltech;    Module: 2.
 

 

Computational Imaging

Credits: 3;      University: Skoltech;   Module: 1.

 

Theoretical Methods of Deep Learning

Credits: 3;      University Skoltech;     Module: 2.

 

 

Introduction to Computer Vision

Credits: 3;      University Skoltech;     Module: 2.

 
Statistical Learning Theory

Credits: 6;      University: Skoltech;    Module: 4.
 
Deep Learning

Credits: 6;      University: Skoltech;    Module: 4.
 
2nd year  

 
Basic Courses

 
Modern Algorithmical Optimization

Credits: 6;     University: HSE;    Module: 1-2.
 
  
Research Seminar

Credits: 6;     University: HSE;    Module: 1-2.
 
Elective Courses

 
Bayesian Methods for Machine Learning

Credits: 6;     University: Skoltech;    Module: 1.
 
Random Matrix Theory

Credits: 6;     University: HSE;    Module: 1.
 
  
Mathematical Foundations of Reinforcement learning (HSE)

 

 

 



Statistical Learning Theory