Insegnamento a.a. 2025-2026

30422 - TECHNOLOGICAL INNOVATION SEMINARS II

Department of Decision Sciences


Student consultation hours
Class timetable
Exam timetable

Course taught in English
Go to class group/s: 25
BEMACS (1 credits - II sem. - OB)
Course Director:
OMIROS PAPASPILIOPOULOS

Classes: 25 (II sem.)
Instructors:
Class 25: CARLOS GASTON BESANSON TUMA


Suggested background knowledge

Machine Learning Computer Programing

Mission & Content Summary

MISSION

This seminar introduces agentic AI systems for enterprise automation, emphasizing autonomous agent architectures, compliance, and responsible governance frameworks. Students examine academic literature and prototype agent use-cases with no-code tools.

CONTENT SUMMARY

  • Understand agentic AI conceptual foundations and taxonomy

  • Apply leading responsible AI governance models in regulated contexts

  • Prototype an agentic AI workflow using a no-code framework


Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...

  • Understand agentic AI conceptual foundations and taxonomy

  • Prototype an agentic AI workflow using a no-code framework

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...

 

  • Apply leading responsible AI governance models in regulated contexts


Teaching methods

  • Lectures
  • Practical Exercises
  • Collaborative Works / Assignments
  • Interaction/Gamification

DETAILS

Lectures will develop the fundamental conceps. The practical exercises, the collaborative work and the interaction build towards  an agent use-case presentation and responsible audit


Assessment methods

  Continuous assessment Partial exams General exam
  • Oral individual exam
     x
  • Active class participation (virtual, attendance)
 x    

ATTENDING STUDENTS

Full credit is assigned automatically to all students who meet the active class participation condition (3 or 4 classes with registered attandance out the 4 total classes). These students do not need to take the oral exam.


NOT ATTENDING STUDENTS

For students who do not meet the active class participation condition, the full credit is assigned after a successful oral individual exam on the topics presented during the course. 

 

I


Teaching materials


ATTENDING AND NOT ATTENDING STUDENTS

The course is entirely based on slides and research articles. All slides and research articles are made available to both attending and non-attending students.

Last change 07/11/2025 14:12