Teaching (@Uni Konstanz)

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Pro-seminar: Academic writing
(SS25; graduate course)

This course equips students to produce clear, well-structured, and critically engaged academic texts in the social sciences. Through writing exercises, peer feedback, and instructor guidance, students learn to formulate RQs, build arguments, use sources ethically, and write to disciplinary conventions. The course addresses common challenges such as integrating literature, avoiding plagiarism, and improving clarity and coherence.

Topics covered: systematic literature reviews, ethical and effective use of AI tools in writing, principles of argumentation and identification of logical fallacies, designing and delivering effective academic presentations, writing professional and persuasive academic emails, providing and integrating constructive feedback.

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Introduction to business economics (WS25/26; undergraduate course)

Responsible lecturer: Prof. Nick Zubanov

Performing lecturers (tutorials): Louisa Selivanovskikh, Valeria Galchenko

Topics covered in tutorials: Application of differential calculus in economics, multivariate optimisation and the Lagrangian technique, basics of regression analysis in application to estimating demand, origins of demand and supply, competition and firm behavior

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Personnel economics 1
(SS26; undergraduate course)

Responsible lecturer: Prof. Nick Zubanov

Performing lecturers (tutorials): Louisa Selivanovskikh, Valeria Galchenko

Topics covered in tutorials: TBA

Additional teaching experience (2023-ongoing): Introduction to Organizational Economics (tutorials), Preparatory Course: Econometrics, and Systematic Literature Reviews (KOMEX course 2026, teaching assistant).

Former teaching
(@HSE SEM)

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Talent analytics
(2022-2023; graduate course)

This course provides a practical foundation in talent analytics, with an emphasis on metrics, interpretation, and clear communication of talent management (TM) insights. By the end of the course, students can design and evaluate analytics-driven (including AI-supported) TM initiatives and complete an independent research project using qualitative comparative analysis (QCA) of hand-collected data.

Topics covered: core TM approaches, processes, and practices; barriers and challenges to effective talent identification, attraction, development, evaluation, and retention; global TM and human capital portfolios; design and execution of AI-powered TM initiatives; exploration of core metrics and analytical tools; stratefic ambiguity in TM communication; conducting research in strategic human resource management.

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Analytics communication*
(2021-2023; graduate course)

*The course was a collaborative effort with HSE staff members.

Topics covered: communication strategy and tools, techniques and best practices of data visualization, data analysis techniques, storytelling, academic presentation, public speaking.

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Research seminar*
(2021-2023)

*The course was a collaborative effort with HSE staff members.

Topics covered (undergraduate/graduate course): research design basics: RQs, empirical cycle (obsesrvation, induction, deduction, testing, and evaluation), analyzing and synthesizing the literature; research methods, procedures, and techniques; Contructs and variables, data types; basic data collection and analysis; reliability and vailidity; discussing research findings and contributions; research ethics.

Topics covered (doctoral course): main stages of the manuscript preparation, submission, and publication process in leading academic journals.
Responsible for: systematic literature review, research proposal preparation, providing constructive feedback and responding to reviewers’ comments.

Additional teaching experience (2021-2023): strategic management, people analytics, statistics (tutorials), and econometrics.