Ilya Musabirov
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Teaching

Note

See Learning Design for examples of teaching materials and instructional redesigns.

Course Instructor

University of Toronto

Winter 2024: Introduction to Computation and Data Science, a cross-disciplinary course taught together by Depts. of Computer Science, Statistics, Geography and Biology.

Currently I work on designing deliberate practice activities for the course.

Mentor, Educational Data Science track

LearnLab Summer School, Carnegie-Mellon University

Senior Lecturer in Computer Science

HSE University St. Petersburg

November 2013 — August 2021

  • Best Instructor 2021 (MSc in Information Systems & HCI)
  • Best Instructor 2020 (MSc in Information Systems & HCI, Research Supervision)
  • Dream Mentor 2018

Highlights

ML Systems Architecture I Course Mindmap

ML Systems Architecture I Course Mindmap

Simulator for AB testing cases

Simulator for AB testing cases

Principles

Teaching Principles Mindmap

Data to Causality Scaffolded

Scaffolding Research Skills with Simulators

Co-Alignment with Authentic Tasks

Specification Grading for Personalization and Equity

Student projects

Learning Analytics

Learning Analytics

Learning From Errors: Designing Feedback for DS0 Students

Learning From Errors: Designing Feedback for DS0 Students

Theory Construction and Model Building

Theory Construction and Model Building

Segmentation of Expertise in Russian StackOverflow

Segmentation of Expertise in Russian StackOverflow

Players Transfers in Esports

Players Transfers in Esports

Women Data Leaders in Russia

Women Data Leaders in Russia

Migration

Migration

Toxic Communication on twitch.tv

Toxic Communication on twitch.tv

🧙 (Some of) Graduates

HSE University St. Petersburg (2014-2020)

During my work as a Senior Lecturer at HSE University, I supervised or co-advised a bunch of great students. Here are just some of them.

  • Alina Bakhitova
    • BA: Sociology and Data Science
    • Data Analyst, Metacore, Finland
  • Anastasia Kuznetsova
    • BA: Sociology and Data Science
    • MS: Information Systems and Human-Computer Interaction
    • BI Manager, Semrush, UAE
  • Anastasia Menshikova
    • BA: Sociology and Data Science
    • MSc: Sociology and Social Research, Utrecht University, Netherlands
    • PhD student in Analytical Sociology, Linköping University, Sweden
  • Denis Bulygin
    • BA: Sociology
    • MSc: Human-computer Interaction, Uppsala University, Sweden
    • PhD Candidate, Conversational AI, TU Delft, Netherlands
  • Ekaterina Marchenko
    • BA: Sociology and Social Informatics, Data Science
    • MSc (Tech): Computer, Communication and Information Sciences, Aalto University, Finland
    • Software Developer, Posti OY, Finland
  • Ivan Sokolov
    • BA: Logistics & Supply Chain Management
    • MSc: Information Systems and Human-Computer Interaction
    • Data Engineer, Mixort, Poland
  • Ksenia Konstantinova
    • BA: Sociology and Data Science
    • MSc: Information Systems and Human-Computer Interaction
    • Analyst in GameDev (MYTONA, Russia)
  • Olga Iarygina
    • BA: Sociology and Social Informatics, Data Science
    • MSc: IT and Cognition
    • PhD student, Human-Centered Data Science, IT University of Copenhagen, Denmark
    • Research Assistant, Human-Centred Computing, University of Copenhagen, Denmark
  • Stanislav Pozdniakov
    • BA: Sociology
    • PhD candidate in Information Technology, Department of Data Science, Monash University, Australia
    • Postdoctoral Research Fellow in Centre for Information Resilience, University of Queensland. Australia
  • Viktor Karepin
    • BA: Sociology
    • MA: Modern Social Analysis
    • Data Analyst, Playkot, Serbia
  • Vsevolod Suschevskiy
    • BA: Sociology and Social Informatics, Data Science
    • MSc: Information Systems and Human-Computer Interaction
    • PhD student, Technology & Social Behavior, Northwestern University, USA
  • Irina Busurkina
    • MA: Modern Social Analysis
    • Data Analyst, Booking.com, Netherlands
  • Daria Chuprina
    • BA: Area Studies and Data Science
    • MA: Modern Social Analysis
    • M.Ed. student, Learning Design, Innovation, and Technology, Harvard University, USA
  • Dmitry Mandrik
    • BA: Political Science
    • MA: Comparative Politics of Eurasia
    • Data Analyst Lead, Ventatel Limited, Cyprus
  • Alexander Popov
    • BA: Economics and Data Science
    • MSc: Information Systems and and Human-Computer Interaction
    • PhD Research Fellow, Computer Science, University of Bergen, Norway
  • Stanislav Kozlov
    • BA: Logistics & Supply Chain Management
    • MSc: Big Data Analysis for Business, Economy and Society
    • Sr. Data Analyst, HelloFresh, Berlin, Germany
  • Olga Silyutina
    • BA: Sociology and Data Science
    • MSc: Information Systems and Human-Computer Interaction
    • Product Analytics Lead, Sumsub, Berlin, Germany
  • Anastasiia Generalova
    • MS: Information Systems and Human-Computer Interaction
    • Senior Software Engineer, Azul Systems, Armenia/Bulgaria
  • Anastasiia Vlasenko
    • BA: Sociology and Social Informatics, Data Science
    • MSc: Informatics with specialization in Machine Learning, University of Bergen, Norway
  • Vsevolod Korshunov
    • BA: Economics
    • Operational/Business/Partnership Analyst at SberSeller
  • Vadim Voskresenskii
    • BA: Sociology
    • MA: Modern Social Analysis
    • Analytics Engineer at Polyteia, Germany
    • Core team member, Data Science for Social Good Berlin NGO, Germany
  • Sofia Tormasheva
    • BA: Logistics & Supply Chain Management, Data Science minor
    • MSc: Information Systems and Human-Computer Interaction
    • Data Analytics Lead (BI, DE), BIOCAD
  • Victor Zaika
    • MSc: Information Systems and Human-Computer Interaction
    • PhD student in Universität Bern, University Clinic für Visceral Surgery and Medicine and Gastroenterology
  • Sofia Tukhvatulina
    • BA: Sociology and Social Informatics
    • Program Facilitator, createMPLS, Minneapolis, MN, USA

Together with SESL we studied educational choice and its’ motivations, academic performance, evolution of friendship and code-sharing networks.

We analysed typical errors of non-STEM students taking their first course in Data Science.

We designed decision & agent-based modelling module introducing computational ways of constructing theories and building models in sociology

We looked at cross-cultural Links and Segmentation of Expertise in Communities of Practice on The Case of Stack Overflow in Russian

We analysed the structure of local and regional market of player transfers in popular eSports discipline Dota 2.

This project is supported by ACM KDD impact program and aimed to encourage girls to learn Data Science and STEM subjects both as their majors and an additional part of education.

Together with SESL, we studied educational migration all over ex-USSR with the help of internet data.

We analyzed how toxic communication is organized in chats during Dota 2 streams on Twitch.tv and what affects it

2023–2024 Ilya Musabirov. Based on a template by Mike Mahoney.

 

Template and code are licensed CC-BY-NC 4.0.