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Regular version of the site
Bachelor 2021/2022

Product Management Digital Products

Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type: Elective course (Business Administration)
Area of studies: Management
Delivered by: Department of Marketing (Nizhny Novgorod)
When: 4 year, 1, 2 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Denis A. Fomenkov
Language: English
ECTS credits: 5
Contact hours: 56

Course Syllabus

Abstract

Product management is one of the most complicated processes in organizations because it encompasses almost all functions such as: finance, marketing, R&D, manufacturing, sales etc. At the same time strategies of companies in real corporate world more and more often rely on innovations, new products, new technologies which are directly dependent on proficiency in product management. The course is for students who strive to improve their knowledge and skills in main domains of digital product management. Its structure follows body of knowledge developed by Product Development and Management Association (PDMA). Students are highly encouraged to continue their education for successful professional certification of PDMA. Throughout the course students work in project teams on assignments which reflect main stages and approaches to product development and management. Instructor acquaints students with frameworks, concepts, and models used within each phase. Afterwards students consciously choose concepts and tools, which seem relevant for particular stage. Students will learn all contemporary frameworks, approaches, and tools currently applied by generalist and business-oriented product managers. Course will not address more specific technical issues, which are usually dealt by engineering-oriented product managers. Students will go through all main activities performed by real product managers.
Learning Objectives

Learning Objectives

  • To learn all contemporary frameworks, approaches, and tools currently applied by generalist and business-oriented product managers.
  • To master basic skills which are necessary for successful development and management of digital products.
Expected Learning Outcomes

Expected Learning Outcomes

  • Can apply Scrum, Lean startup, Kanban in product management
  • Can develop value proposition canvas
  • Can integrate voice-of-customer into product management
  • Can use different techniques to generate ideas for new products
  • Can use MVP to test main assumptions about value
  • Can work with data science team to refine product
  • Know how to adjust marketing research techniques for different types of products
  • Know how to evaluate and screen ideas
  • Know main responsibilities of product managers
Course Contents

Course Contents

  • Product manager as a position in a company: responsibilities and qualifications.
  • Ideation and hypothesis development for products
  • Market analytics and voice-of-customer for product manager
  • Agile approaches to product development
  • Data science fundamentals for product managers
Assessment Elements

Assessment Elements

  • non-blocking Contributions to class discussions
    At the end of the each class instructor makes notes about how active were students in discussions and how insightful and professional were their answers or comments. Fruitful participation is barely possible without supplementary reading which must be published by instructor one week before each class session. Class attendance alone will not earn a student class participation/contribution credits.
  • non-blocking Assignments
    All topics are accompanied by assignments. Some assignments combined shape one big project about developing and launching new digital product. Other assignments are focused on particular topic and not related to main project. Assignments are evaluated by instructor and peers.
  • non-blocking Exam
    Exam is conducted in a form of answering predefined questions and cases. Instructor randomly picks up 3 questions or cases from the list. Students are expected to answer almost immediately so instructor can observe their way of thinking. Even if they need to use particular tool or calculate figures, students do it in front of instructor.
  • non-blocking Test
    Test covers all topics of the course. Most questions are multiple-choice and open-ended. It’s open book test so students can use all readings, presentations, and Internet sources.
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.2 * Test
Bibliography

Bibliography

Recommended Core Bibliography

  • Bruce T. Barkley, Project Management in New Product Development, McGraw-Hill © 2008 https://library.books24x7.com/toc.aspx?bookid=23646

Recommended Additional Bibliography

  • A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017. Режим доступа: http://library.books24x7.com/bookshelf.asp
  • Cadogan, John, et al. Cross-cultural and cross-national consumer research, Emerald Publishing Limited, 2015. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=2070198.
  • Fundamentals of Qualitative Research
  • Moran, A. (2015). Managing Agile : Strategy, Implementation, Organisation and People. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=969008
  • Vanderplas, J.T. (2016). Python data science handbook: Essential tools for working with data. Sebastopol, CA: O’Reilly Media, Inc. https://proxylibrary.hse.ru:2119/login.aspx?direct=true&db=nlebk&AN=1425081.