Anton Angelgardt
- Assistant: Faculty of Social Sciences / School of Psychology
- Anton Angelgardt has been at HSE University since 2018.
Education
HSE University
HSE University, Faculty of Social Sciences
Continuing education / Professional retraining / Internships / Study abroad experience
Professional Retraining
”Information and data presenting. Making presentations”, Teach for HSE, HSE University (April 10–30, 2020)
“Digital Marketing”, HSE University (June 17 — July 20, 2020)
“Organization of group and team work of students in the context of online learning”, Teach for HSE, HSE University (September 27 — October 8, 2021)
Schools, Workshops, Webinars
“Applied Cognitive Science”, summer school, HSE University (June 15–18, 2019)
Multidisciplinary seminar school “Summer School”, Data Analysis workshop, Bayesian program (June 28 — August 5, 2019)
“Theoretical and Applied Issues of Cognitive Psychology”, summer school (August 27–3, 2019)
“Information and Data presentation. Presentations making”, HSE University (April 10–30, 2020)
Multidisciplinary seminar school “Summer School”, Test development workshop (Jule 17–26, 2020)
“Network analysis in human cognition and language processing”, workshop, Psychology Institute of Russian Academy of Sciences (October 24–25, 2020)
“Applied Cognitive Science”, summer school, HSE University (October 30 — November 5, 2020)
Webinar “Natural language for machines – how to learn a computer understand words?”, HSE University (November 10, 2020)
International CCCP-2020 Symposium “Cross-Language Interplay in a Bilingual Mind” (December 10–11, 2020) [Certificate]
“Applied Cognitive Science”, summer school, HSE University (July 1–5, 2021)
Multidisciplinary seminar school “Summer School”, Educational workshop, “Educational experience design” track (Jule 20–30, 2021)
“Applied Cognitive Science”, summer school, HSE University (July 5–9, 2022)
“Applied Cognitive Science”, summer school, HSE University (July 6–11, 2023)
Multidisciplinary seminar school “Summer School”, Educational workshop, “Educational environment” track (Jule 23 — August 2, 2023)
MOOC's
Introduction to LaTeX, Coursera (2018)
Basics of R programming, Stepik (2019)
Data Analysis with R, Stepik (2019)
Data Analysis with R. Part 2, Stepik (2019)
JavaScript for Beginners, Stepik (2019)
HTML/CSS, FructCode (2019)
Javascript/jQuery, FructCode (2020)
PHP/MySQL, FructCode (2020)
Git Basics, Stepik (2020)
Information Theory Basics, Stepik (2021)
Python Developer | Complete course 2021, Udemy (2022)
Machine Learning A-Z™: Python & R in Data Science [2022], Udemy (2022)
Awards and Accomplishments
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022)