The objective of the module is to qualify the student to work with Artificial Intelligence systems and to apply data science methods in a structured manner, extract inferential knowledge from a dataset, and make probabilistic forecasts using artificial intelligence and machine learning models. In addition, the student must be able to report on the findings and make use of visualization.

• various definitions of the fields of Artificial Intelligence, Machine Learning, and Data Science
• what artificial intelligence and machine learning really is
• what is possible and not possible using artificial intelligence and machine learning
• designing experiments for data collection
• using a framework for numerical computations
• using a framework for general data analysis
• using a framework for descriptive and inferential statistical analysis
• using a framework for probabilistic forecasting using machine learning models
• a variety of data analysis algorithms and their applications

• how to ask a relevant and interesting research question (framing the problem)
• collect and obtain data from a variety of sources
• organize data to prepare for analysis
• explore data to gain insights
• apply basic descriptive and inferential statistics
• make forecasts using probabilistic machine learning tools
• use methods to facilitate reproducibility and transparency
• communicate findings in a written report, using visualizations

The objective is that the student will have acquired proficiency in participating and contributing in projects using Artificial Intelligence, Machine Learning, and Data Science.