Lecturer (m/f/d) for AI Business Intelligence

vor 2 Wochen

Aachen, Nordrhein-Westfalen, Deutschland FOM University of Economics & Management Vollzeit


Do you have a university degree as well as specialist and industry knowledge and would you like to pass on your knowledge and experience in a practice-oriented manner to motivated specialists and managers as well as committed trainees? As a university for working people that stands for interactive and motivating teaching, the FOM offers you an ideal environment for this.

Become
a lecturer (m/f/d) for AI Business Intelligence at the Aachen University Center .

Expertise required:

Bring your specialist knowledge and experience to our internationally recognized university. As a lecturer at FOM, you have the opportunity to share your expertise with a motivated student body and prepare young talents for professional success.

Focus on practical orientation:

At FOM we attach great importance to practical relevance and realistic case studies. Bring in your professional experience and combine theory and practice in order to give students who are in employment or training valuable insights for professional practice.

Flexibility for your lifestyle:

We understand the importance of flexibility. As a lecturer at FOM, you will receive comprehensive orientation documents and administrative relief so that you can organize your everyday life more flexibly. Our dedicated team is always available to help you if you have any questions. In addition, you have access to a large network of professionals to make valuable contacts and exchange professional knowledge.

Class times

The lectures take place on weekdays (6:00 p.m. - 9:15 p.m.) and/or Saturdays (8:30 a.m. - 3:45 p.m.).

Extract of the module contents:

  • Theoretical foundations
    • Business intelligence
    • Artificial intelligence
    • Data & Big Data
  • Methodological basics
    • Python, Jupyter Notebooks
    • Docker, Kubernetes, GitHub
    • NumPy, Pandas, Scikir-Learn, MatPlotLib
  • Machine Learning (Jupyter Notebook Tutorials)
    • Supervised and unsupervised machine learning
    • Training and validation data
    • Metrics for evaluation
  • Statistical basics (Crash_kurs with Jupyter Notebook Tutorials)
    • Univariate statistics: position and dispersion measures
    • Bi- and multivariate statistics: correlation and regression

Sounds like a job that is as challenging as it is meaningful? Then we look forward to receiving your application via the FOM online application tool.

For reasons of easier readability, we use the male form of salutation throughout the text. However, the world of FOM is characterized by a great appreciation for diversity among students, teachers and employees and encourages all applications.

I am here for you:

Mr. Doryan Moshir Nia BA
Leimkugelstr. 6
45141 Essen
Tel.:



Benefits for our freelance teachers



Flexible application options

Teacher support

Coverage of travel costs

Good transport connection

Competence development

Teacher network

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