Digital Finance

Type of CourseLecture and exercise course
TermSummer term 2020
Credits6


Dates/Times/Locations
Thursday, 12:15-13:45, weekly: 16.04.2020 to 16.07.2020
Thursday, 14:15-15:45, weekly: 16.04.2020 to 16.07.2020
Wednesday, 14:15-15:45, weekly: 15.04.2020 to 15.07.2020
Room: MZG/Blauer - WiSoRZ MZG 5.111
Wednesday, 16:15-17:45, weekly: 15.04.2020 to 15.07.2020
Room: MZG/Blauer - WiSoRZ MZG 5.111


Instructors
Muntermann, Jan, Prof. Dr.
Metzler, Dennis, M.Sc.


Learning outcome / core skills:

After a successful completion of the course, students are able to:

  • Understand the basic concepts and components of digital technology in the finance sector today.
  • Understand the characteristics of different financial instruments and relate them to asset-specific data structures.
  • Understand and apply concepts and methods to process market data, esp. pricing data.
  • Understand and evaluate business requirements of IT infrastructures and related solution components in finance.

  

Courses:

1. Financial Information Systems (lecture)

Contents:

  1. Introduction to Digital Finance
  2. Data and Data Structures in Finance
  3. IT Infrastructures in the Financial Industry
  4. Financial Technology Applications (FinTech, Crypto Currencies, Digital Platforms)

2. Financial Information Systems (tutorial)

Contents:

  • Case studies that provide insights into building and digital technology in finance.
  • Tutorial sessions in which students deepen and broaden their theoretical and methodological knowledge from the lectures.
  • Computer tutorial sessions with a professional financial terminal (FIS MarketMap) in which students will apply their knowledge.

Examination

Examination: Written examination (90 minutes)

  

Examination requirements:

  • Demonstrate profound knowledge of information systems concepts and IT architectures in finance
  • Document an understanding of the characteristics of financial information systems and relate them to market data structures.
  • Show a profound understanding of how to organize structured market data and semi- or unstructured data in finance.