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Course Plan

Date Mode Content
2022-04-07 in classroom history of innovation
starting with R
2022-04-08 in classroom Business plans and MCDA
2022-05-11 online building models
2022-05-13 online building models (same materials as previous)
2022-05-19 online AI in Banking
2022-06-01 in classroom Quantum Computing and Blockchain
2022-06-02 in classroom Exam (your presentations)

Course Modules

[1] Introduction

  • introduction to innovation
  • the role of innovation in the history of capitalism
  • setting expectations and agreements
  • installing R and RStudio

[2] Regressions and Machine Learning

  • linear regressions
  • generalised linear models
  • non-linear regressions
  • decision trees
  • random forests
  • SVN
  • neural networks

[3] case studies and models

  • recap of theory (and continuation)
  • case studies and practice

[4] Business Plans and MCDA

  • Elements of a Business plan
  • MCDA (Multi Criteria Decision Analytics)
  • case studies MCDA

[5] from Accounting to Creating Value

A selection from:

  • financial accounting
  • management accounting
  • valuation of cash, bonds, equities
  • other financial instruments

[6] selected innovation axis

A selection from:

  • automated reporting
  • preparation for the end-project
  • crypto ledgers
  • quantum computing
  • Big Data

Guest lectures:

  • the use of data in warehousing (Frigo Logistics)
  • the value of data (Colgate)
  • calculating the value of a company (bank)

[7] Exam: presentations of projects by students

  • presentations of the projects (counts as exam)

Further Case Studies


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