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Investor Evaluation and AI

Silvia Cortesia

Syllabus

Course description

The course explores how artificial intelligence can support the construction and evaluation of investor decks, a fundamental tool in startup financing processes. Through short introductory sessions and practical exercises, students will work together on the development of a collective deck and its evaluation, comparing human and algorithmic perspectives.

Learning objectives

Understand the role and structure of investor decks.
Experiment with AI tools to develop specific sections of a deck.
Analyze investor expectations and compare them with algorithmic evaluations.

By the end of the course, students will be able to:

Develop the main sections of an investor deck.
Use AI tools to support the analysis and presentation of a project.
Critically evaluate a deck based on criteria commonly adopted by investors.
Compare human and algorithmic assessments.

Course outline

Session 1 (2h): definition of a problem and proposal of a solution → start of the deck development.
Session 2 (2h): collective development of deck sections with AI support.
Session 3 (2h): evaluation of the deck by students and AI → final discussion.

Expected output

A co-created investor deck accompanied by a comparative human and algorithmic evaluation.

You can contact the instructor at this email address: Silvia.Cortesia@student.unibz.it


Dates

  • Thu, 5th Nov, h. 17.30-20.30
  • Tue, 10th Nov, h. 17.30-20.30