Maksim Karpov
- Senior Lecturer: Faculty of Computer Science / Big Data and Information Retrieval School
- Maksim Karpov has been at HSE University since 2017.
Responsibilities
- Teaching Data Culture courses in Bachelor's degree programs;
- Teaching courses at the professional retraining programs of the Center for Continuing Education.
Education
2022
Doctoral programmeHSE University
2020
Master's in Applied Mathematics and InformaticsHSE University, Faculty of Computer Science
2014
Degree in International RelationsLomonosov Moscow State University, Faculty of Global Studies
Continuing education / Professional retraining / Internships / Study abroad experience
Advanced training program "Artificial Intelligence for Teaching Various Courses", certificate issue date September 18, 2024 Certificate;
Advanced training program "Pedagogical Skills in Teaching Computer Science", certificate issue date June 3, 2024 Certificate;
Advanced training program "Digital Humanities: Level A1", certificate issue date October 27, 2023 Certificate;
Postgraduate diploma in the field of training 09.06.01 Computer Science and Computer Engineering (October 28, 2022) Diploma;
International Seminar «Distance-Based Education in The New Decade of XXI century» (November 27, 2020) Certificate;
Process Mining: Data Science in Action, Eindhoven University of Technology (Coursera, with honors) Certificate;
Data Culture Workshop on Mastering Teaching Skills (April 2019, Faculty of Computer Science, HSE University) Certificate;
Workshop «Modern machine learning and methods of teaching data analysis» (January 2018, HSE Study Center Voronovo, Moscow region) Certificate;
Third Machine Learning Summer School (July 17 - 23, 2017, Reading University, UK) Certificate of Attendance.
Awards and Accomplishments
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2019)
Courses (2024/2025)
- Basics of Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 2 module)Rus
- Data Analysis (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1 module)Rus
- Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) field of study Business Informatics, field of study Mathematics, field of study Software Engineering, field of study Applied Mathematics and Information Science; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Creative Industries field of study Management, field of study Advertising and Public Relations, field of study Advertising and Public Relations, field of study Media Communications, field of study Design, field of study Fine Art, field of study Design, field of study Media Communications, field of study Journalism; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Economics, field of study International Relations, field of study Asian and African Studies, field of study Foreign Regional Studies, field of study International Relations; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Humanities field of study Cultural Studies, field of study Asian and African Studies, field of study Philology, field of study Philology, field of study Philosophy, field of study History, field of study History of Art, field of study Asian and African Studies, field of study Fundamental and Applied Linguistics, field of study Asian and African Studies; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; School of Arts and Humanities field of study Philology, field of study History, field of study Media Communications; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering, field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Social Sciences field of study Political Science, field of study Applied Mathematics and Information Science, field of study Public Administration, field of study Sociology, field of study Psychology; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Physics; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Chemistry; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Management field of study Software Engineering, field of study History, field of study Linguistics, field of study Law, field of study Design; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; School of Foreign Languages field of study Linguistics, field of study Linguistics; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Mathematics field of study Mathematics, field of study Mathematics; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics, field of study Information Science and Computation Technology, field of study Infocommunication Technologies and Systems, field of study Information Security; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Management (Nizhny Novgorod); 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Graduate School of Business field of study Business Informatics, field of study Management, field of study Management, field of study Management, field of study Management, field of study Business Informatics; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology, field of study Biology; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Saint-Petersburg School of Social Sciences field of study Sociology, field of study Political Science, field of study Public Administration; 3 year, 2 module)Eng
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Geography and Geoinformation Technology; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod) field of study Fundamental and Applied Linguistics, field of study Linguistics, field of study Philology, field of study Design; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Economic Sciences field of study Economics, field of study Applied Mathematics and Information Science, field of study Economics, field of study Economics, field of study Economics; 2 year, 4 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Management; 2 year, 4 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; School of Law; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Law field of study Law, field of study Law, field of study Law; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; St.Petersburg School of Economics and Management; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Management (Nizhny Novgorod); 2 year, 4 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Information Science, field of study Physics, field of study Applied Mathematics and Information Science; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor’s programme; Faculty of Urban and Regional Development; 3 year, 2 module)Rus
- External Examinations on Digital Skills. Final Level (Bachelor; 3 year, 2 module)Rus
- Introduction into Python (Bachelor’s programme; School of Foreign Languages; 2 year, 2, 3 module)Rus
- Introduction into Python (Bachelor’s programme; School of Foreign Languages; 2 year, 1-4 module)Eng
- Introduction to Python for Data Science (Mago-Lego; 2 module)Rus
- Introduction to Python for Data Science (Master; 1 year, 2 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Python Basic (Mago-Lego; 1 module)Eng
- Python Basic (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Eng
- Python Programming (Mago-Lego; 1 module)Rus
- Python Programming (Master’s programme; Faculty of Computer Science; 1 year, 1 module)Rus
- Statistics for Social Science (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1, 2 module)Eng
- Past Courses
Courses (2023/2024)
- Basics of Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 4 module)Rus
- Data Analysis (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Public Policy and Social Sciences, field of study International Relations; 3 year, 3, 4 module)Eng
- Data Analysis in Python (Bachelor’s programme; Faculty of Law field of study Law, field of study Law; 3 year, 3 module)Rus
- Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Fundamentals of Statistical Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Introduction into Python (Bachelor’s programme; School of Foreign Languages; 2 year, 3 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 4 module)Eng
- Introduction to Data Analysis (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 4 module)Rus
- Machine Learning (Bachelor’s programme; International College of Economics and Finance field of study Economics, field of study Economics, field of study Economics; 4 year, 1-4 module)Eng
- Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 3, 4 module)Eng
- Research Seminar "Introduction to Specialty" (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
- Statistics for Social Science (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1, 2 module)Eng
Courses (2022/2023)
- Basics of Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 4 module)Rus
- Data Analysis in EXCEL (Bachelor’s programme; Faculty of Law field of study Law, field of study Law; 3 year, 1, 2 module)Rus
- Data Analysis in Politics and Journalism (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Public Policy and Social Sciences, field of study International Relations; 3 year, 1, 2 module)Eng
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 3, 4 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of World Economy and International Affairs field of study Public Policy and Social Sciences, field of study International Relations; 2 year, 3, 4 module)Eng
- Introduction into Python (Bachelor’s programme; Faculty of Law field of study Law, field of study Law; 2 year, 1, 2 module)Rus
- Introduction to Data Analysis (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 4 module)Rus
- Introduction to Deep Learning (Minor; Faculty of Computer Science; 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; International College of Economics and Finance field of study Economics, field of study Economics, field of study Economics; 4 year, 1-4 module)Eng
- Machine Learning 1 (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-4 module)Eng
- Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 3, 4 module)Eng
- Statistics for Social Science (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 1, 2 module)Eng
Courses (2021/2022)
- Basics of Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 4 module)Rus
- Introduction to data: collecting, analyzing, and visualizing (Bachelor’s programme; Faculty of Creative Industries; 3 year, 1, 2 module)Rus
- Programming in Python (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 3, 4 module)Eng
Courses (2020/2021)
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 1, 2 module)Rus
- Data Analysis in Python (Bachelor’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
- Introduction to Python for Data Science (Bachelor’s programme; Faculty of World Economy and International Affairs; 2 year, 4 module)Rus
- Mathematical Methods for Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Project Seminar (Bachelor’s programme; Faculty of Creative Industries; 3 year, 1-4 module)Rus
Scientific and Practical Workshop on Reproduction of State-of-the-art Scientific Results (4-18 April 2021)
Mentoring a group of students at the third project workshop from Yandex and Sirius. The theme of the project: «Clustering of CERN Logs».
Project Workshop for Developers, Educational Center «Sirius» (1-14 February 2019)
Mentoring a group of students at the first project workshop from Yandex, HSE and Sirius. The theme of the project: «Segmentation of images of city scenes for controlling self-driving vehicles».
Summer Workshop «Island 10-21», the Far Eastern Federal University (11-13 July 2018)
Crowd-science for solving big data processing problems. Increasingly, in business and science, we are faced with tasks that require data science expertise to solve them. Is it necessary to develop our own expertise in this area? Is it possible to attract external experts? Can I use the expertise of the data science community through platforms such as kaggle, coda lab or Yandex contest? How to formulate a problem in terms of clear and adequate solutions on these platforms. We will tell you about the ways to prepare tasks, features of the platforms and will go from the idea to the publication of the contest on one of them.
Conferences
Grants
Performer of the RFBR grant «Basic research projects carried out by young scientists studying in doctoral school», application no. 20-37-90136, project topic: «Development of natural language processing methods for detecting anomalies in the event logs of big data storage systems» (2020-2022) under the supervision of Andrey Ustyuzhanin, Head of the laboratory.
14
Aug
2017
Third Machine Learning Summer School Held in UK
On July 17-23 the Third Machine Learning summer school organized by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics and Imperial College London was held in Reading, UK. 60 students, doctoral students and researchers from 18 countries and 47 universities took part in the event.