AI and accounting and finance 26-27 S1 & S2

Are you familiar with the basics of Python programming? In this online showroom course, you get to use your skills and learn

•  deploy machine learning models that extract actionable insights from structured datasets.
• utilise explainable AI that make models transparent, interpretable, and trustworthy, critical
  for ethical and compliant AI adoption.
• implement deep learning to unlock the power of unstructured data. Gain actionable insight
  from Big Data.
• generative AI enhanced programming and problem-solving. Leverage tools like Github
  Copilot and Google Colab Gemini for code-generation and task automation to enhance creativity and streamline workflows.

This is an online, self-study course.

Units:

1. Introduction to Python and environment setting up
2. Connecting with Accounting and Finance databases
3. Statistics and time series analysis with Python
4. Machine learning for structured data classification and regression
5. Deep learning example from Accounting and Finance

Timetable:

• This is a self-study, self-paced and pre-recorded course. There is a twelve week completion time after the date of entering the course in the EUNICE Moodle.

• EUNICE student: enrolled as a Bachelor student in one of the universities of EUNICE European University consortium (check universities here).
• B2 level in English.
• Very basics of Python programming.

Study Level: Master

Specific instructions in some universities:

• BTU applicants: A Learning Agreement must be completed in advance in coordination with your departmental advisor. Please contact your examination office and study programme coordinator in good time once you are accepted for the courses you would like to attend. For any other questions you can contact: eunice@b-tu.de
• UPHF applicants: make sure to ask the approval of your director of studies (responsable pédagogique) before applying. For any question, you can contact the EUNICE office: eunice@uphf.fr
• UoP applicants: questions about enrolment and recognition can be answered by your Director of Studies or ECTS Coordinator, or you can contact eunice@go.uop.gr

Any questions about enrolment or credit recognition? Contact your EUNICE courses coordinator.