Course, NOVA IMS, 2026
A 14-hour course I designed for students from product, business and management backgrounds. It covers how LLMs work, prompting and context engineering, agentic coding tools, and GenAI evaluation, and ends with a capstone in which students build and evaluate an AI-assisted application without writing code.
Bootcamp, NOVA IMS, 2024
An intensive bootcamp that takes students from Python basics to the data manipulation skills used in machine learning courses.
Course, NOVA IMS, 2024
Students apply the CRISP-DM process to marketing problems, from data preparation to regression, classification and clustering models, through three group projects.
Masters course, Nova IMS, 2022
In this course, students were guided through six projects involving different topics in data science, such as language processing, recommendation systems, predictive analysis, and data visualization.
Postgraduate course, Nova IMS, 2021
This course familiarizes students with Data science concepts, applications, and projects’ lifecycles. It involves statistics, data visualization, database systems, and machine learning. Students learn data preparation before building analytical models, such as data description, RFM, or association rules (e.g., market basket analysis).
Undergraduate course, Nova IMS, 2021
This course addressed the topics and issues typically associated with “data mining” or “knowledge discovery”. Its primary goal is to allow students to gather skills for extracting information and knowledge from large databases. The skills developed include databases, data processing, prescriptive analysis, and data visualization.