Applied Computer Science and Artificial Intelligence

General goals: Acquiring the basics of data science and machine learning. Specific goals: To make students aware of the theoretical and practical tools of data science and machine learning, as well as of their intrinsical limitations; to make students able to tackle real problems through the most appropriate tools. Knowledge and understanding: The course provides the basic notions, techniques and methodologies employed in data science and machine learning. It gives also the fundamental programming abilities needed to apply the theory to real-world scenarios. Applying knowledge and understanding: At the end of the course, students will be able to deal with real-world data science problems, from casting them into a theoretical framework to manipulating the actual data with the right software tools. Critical and judgmental abilities: Students will be able to select the techniques to be applied to the case at hand and to evaluate their performance. Communication skills: Students will we able to represent and communicate the information extracted from data, through the rational use of graphics and indicators. Ability of learning: Students will be able to learn autonomously both the theory and the practice of the field.