Bachelor 2025/2026

Research Seminar "Modern Computer Calculation Tools"

Type: Compulsory course (Applied Mathematics)

Delivered by: School of Applied Mathematics

When: 2 year, 1-4 module

Open to: students of all HSE University campuses

Instructors: Yury Zontov

Language: English

Contact hours: 40

Course Syllabus

Abstract

The workshop is aimed at getting skills to work with the scientific stack of the Python language: Numpy, Matplotlib, Scipy, Pandas. As a result of mastering the workshop, the student will learn how to interact with the Jupiter Notebook interactive environment, apply numerical methods to solve problems (Scipy), analyse the results obtained (Pandas), build graphs (Matplotlib).The course introduces the theory and practice of machine learning algorithms. Students will learn data preprocessing methods, dimensionality reduction techniques, modeling techniques using machine learning algorithms, and parameter tuning.The algorithms studied include linear regression with regularization (ridge regression, elastic net, lasso), multivariate adaptive regression splines, support vector machines, k-nearest neighbors, classification and regression trees, random forest.Students explore the capabilities of the PyTorch library for solving problems of relevant machine learning task classes.