Introduction to Programming and Machine Learning course at SNS
Daniele Licari and Andrea Vandin offered an intensive Programming and Machine Learning course for Ph.D. Students of Scuola Normale Superiore of Pisa.
The course attracted over 60 attendees from several domains ranging from the Faculty of Humanities to that of Sciences.
The course used "gamified" quizzes for self-assessment and monitoring of the learning process, automatically-tested coding exercises to gain "hands-on" experience from the very first lesson, modern teaching materials that integrate slides and executable code into a single document, various applications/examples to practice and fix the notions learned.
The course attracted over 60 attendees from several domains ranging from the Faculty of Humanities to that of Sciences.
The course used "gamified" quizzes for self-assessment and monitoring of the learning process, automatically-tested coding exercises to gain "hands-on" experience from the very first lesson, modern teaching materials that integrate slides and executable code into a single document, various applications/examples to practice and fix the notions learned.
Students gained skills in writing Python programs, with emphasis on complex data analysis and predictive tasks. The course concluded by presenting KNIME, a popular python-integrated workflow-based graphical language for computing complex data analysis.
