VT International Accounting & Taxation - Group Accounting SoSe 2023 IM

Course:

This course is part of the study focus International Accounting and takes place Monday 8:00 - 9:30 am (room will be announced).

Examination

Written exam (30 min), structure is published in the course documents


VT International Accounting & Taxation - IFRS SoSe 2023

Course:

The course is part o the study focus International Accounting and Taxation. It takes place Monday 9:50 - 11:20 am. 

 Exam: 

Written exam (30 min.) , details will be announced in the course.


VT International Accounting & Taxation - Taxation

Course:

This course is part of the study focus International Accounting & Taxation - part International taxation.

Start: March 28, 2023, 11:40 a.m. to 3:30 p.m. (lunch break tbd).

Further dates:

04/18/2023
05/02/2023
05/23/2023
06/13/2023
06/20/2023

Examination

Written exam (30 min), structure is published in the course documents


VT Managing Data-Driven Business (MD2B, SS2023) | Part Prof. Danzinger

This lecture is part of the new module "Managing Data-Driven Business Models (MD2B)". It contains the part "Understanding and Deploying Data-Driven Business Models" presented by Prof. Frank Danzinger. The corresponding other part of the module is given by Prof. Jianing Zhang.

We will deal in this lecture with:

  • Data and business understanding (e.g., IoT-Data-Chain, digital business models)
  • Implementation of digital and data-driven business models (e.g., digital maturity, SDL, CRISP-Cycle, industry 4.0)
The lecture takes place each Wednesday, from 9.50 to 13.00, commencing March, 17th 2021.
Due to Corona, the class will at least start via zoom. (Further details, Zoom-links, etc. will be annouced in the week before the term starts)

VT Managing Data-Driven Business (MD2B) | Part Prof. Zhang

This course covers the quantitative and Machine Learning (ML) driven part of the specialization module MD2B. It complements and extends the course offered by Prof. Dr. Frank Danzinger by hands-on techniques and hard-wired skills necessary for mastering and commanding digital eco-systems.

Topics encompass inter alia
  • Refresher/Intro to programming in Python
  • Refresher of Maths/Stats for Machine Learning (ML)
  • Web scraping
  • Sentiment analysis
  • Social media monitoring
  • Song lyrics analysis
  • Face recognition
  • Deep Learning/Neural Networks
  • ChatGPT for Data Science  
Lectures will be offered every Tuesday 8am - 11.20am starting on March 21st.