Магистратура
2025/2026





Семинар наставника
Статус:
Курс обязательный (Аналитика данных и прикладная статистика / Data Analytics and Social Statistics)
Где читается:
Международная лаборатория прикладного сетевого анализа
Когда читается:
1-й курс, 1-4 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Матвеева Наталия Николаевна
Язык:
английский
Контактные часы:
8
Course Syllabus
Abstract
The seminar is aimed at facilitating the planning by undergraduates of their own educational and scientific trajectories and their implementation, as well as correction, if necessary. This goal is achieved through individual meetings of undergraduates with an academic mentor, meetings within small teams and within the entire academic group. The agenda of meetings is formed in advance by both the mentor and undergraduates, after which the mentor chooses the format for the implementation of the agenda.
Learning Objectives
- The planning by undergraduates of their own educational and scientific trajectories and their implementation, as well as correction, if necessary.
Expected Learning Outcomes
- Understanding the possibilities of the educational program, choosing a priority training track
- Understanding your interest and choosing the project topic, problematization of the topic
- Mastering the skills of research and academic work
- The ability to build a research project in the context of an educational program
- Planning the development of analytical skills
- Reflection on possible problems and difficulties
Course Contents
- The structure of Master thesis’ and the topic selection
- Research Proposal Overview
- Mastering the skills of research and academic work.
- Master's Thesis: Discussion and Presentation
Assessment Elements
- Term paper presentationThe presentation assumes an oral presentation during the course or at an HSE open laboratory seminar or conference. Any additional place of presentation should be agreed upon separately.
- Term paper proposalThe research proposal should include a short description of the following parts: Topic of Research, Research Problem (incl. shortcomings in the Literature) , Goal of the Study, Research Tasks, Object and Subject, Hypotheses, Data and Methods, Expected Results ,
- Master thesis presentationThe presentation assumes an oral presentation during the course or at an HSE open laboratory seminar or conference. Any additional place of presentation should be agreed upon separately.
- Mater thesis proposalThe research proposal should include a short description of the following parts: Topic of Research, Research Problem (incl. shortcomings in the Literature) , Goal of the Study, Research Tasks, Object and Subject, Hypotheses, Data and Methods, Expected Results
Interim Assessment
- 2025/2026 4th module0.6 * Term paper presentation + 0.4 * Term paper proposal
- 2026/2027 3rd module0.6 * Master thesis presentation + 0.4 * Mater thesis proposal
Bibliography
Recommended Core Bibliography
- Attewell, P. A., & Monaghan, D. B. (2015). Data Mining for the Social Sciences : An Introduction (Vol. First edition). Oakland, California: University of California Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=967323
Recommended Additional Bibliography
- Chu, W. W. (2013). Data Mining and Knowledge Discovery for Big Data : Methodologies, Challenge and Opportunities. Heidelberg: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=643546