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Project seminar "Applied research in Product management"

2023/2024
Учебный год
ENG
Обучение ведется на английском языке
9
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 1-3 модуль

Преподаватели


Басов Владимир Алексеевич


Новикова Алиса Андреевна


Папишвили Анастасия Зурабовна

Course Syllabus

Abstract

Project seminar "Applied research in Product management" provides students with research methods and tools in order to conduct their own research projects. Seminar includes discussions of the research topics, methodologies, sources of the data, logic and strycture of master thesis.
Learning Objectives

Learning Objectives

  • Build skills for applied research in product management
Expected Learning Outcomes

Expected Learning Outcomes

  • Gain an overview of marketing analytics frameworks, methods and tools
  • be able to justify the chosen research methodology
  • Develops customer experience research methodology
  • Interprets process models in BPMN notation
  • Be able to conduct business process analysis
Course Contents

Course Contents

  • How to write a Master thesis
  • Business processes analysis in order to develop new products
  • Product marketing
Assessment Elements

Assessment Elements

  • non-blocking Inclass activity
  • non-blocking Project
    Project preparation and defense
Interim Assessment

Interim Assessment

  • 2023/2024 3rd module
    0.2 * Inclass activity + 0.2 * Inclass activity + 0.2 * Inclass activity + 0.4 * Project
Bibliography

Bibliography

Recommended Core Bibliography

  • Discovering high-level BPMN process models from event data. (2019). Business Process Management Journal, 25(5), 995–1019. https://doi.org/10.1108/bpmj-02-2018-0051
  • Fritz, M., & Berger, P. D. (2015). Improving the User Experience Through Practical Data Analytics : Gain Meaningful Insight and Increase Your Bottom Line. Amsterdam: Morgan Kaufmann. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=961223
  • Grigsby, M. (2018). Marketing Analytics : A Practical Guide to Improving Consumer Insights Using Data Techniques (Vol. Second edition). London: Kogan Page. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1738744
  • Niedziółka, T. (2018). User Experience Research and development of knowledge in the field of Human-Computer Interaction.

Recommended Additional Bibliography

  • Bpmn Modeling for Hla Based Simulation and Visualization. (2018). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.ADF7CFDC