Bachelor 2022/2023

Economic Applications of Machine Learning

Type: Elective course (Economics)

Area of studies: Economics

Delivered by: Department of Theoretical Economics

Where: Faculty of Economic Sciences

When: 4 year, 1 module

Mode of studies: offline

Open to: students of one campus

Instructors: Pasha Andreyanov

Language: English

ECTS credits: 3

Contact hours: 40

Course Syllabus

Abstract

The course describes main recent machine learning and data analysis methods as well as their application in economic research. Special attention in the course is paid to the implementation of these algorithms and models in Python. All lectures will be held online in zoom, and seminars will be mixed online-offline. There will we 3 individual written assessments and 1 group oral assessment. Problem sets submitted before the deadline weight 1:1. Problem sets submitted after the deadline weight 2:1. If a student does not get a passing grade by the end of the course, there will be 2 makeups.