This study examines modelling with machine learning. In the context of a yearlong data science course, explores how upper secondary students apply learning Jupyter Notebooks and document process as computational essay incorporating different steps CRISP-DM cycle. The students’ work is based on teaching module about decision trees in worked example such process. outlines performance carrying out...

–Conflict-Driven Clause Learning: – are believed to be well-known: ∗ They embed dynamic heuristics [6, 3], learning [7], restarts [4, 1] and lazy data structures [6]. ∗ (efficient) SAT Solvers can be written from scratch in less than a thousand lines of code. – are not so well-known: ∗Who really understand the underlying mechanisms? ∗No real experimental studies: Progresses have been made with ...

Current state-of-the-art sports statistics compare players and teams to league average performance. For example, metrics such as “Wins-above-Replacement” (WAR) in baseball [1], “Expected Point Value” (EPV) in basketball [2] and “Expected Goal Value” (EGV) in soccer [3] and hockey [4] are now commonplace in performance analysis. Such measures allow us to answer the question “how does this player...

This paper introduces the idea of using data-driven vocabulary files as a teaching practice for the course “English for Tourism 3” taught at the Faculty of Economics, University of Split. First, the design of the vocabulary file is explained as well as the rationale behind the exercise. Then, the analysis of the students’ response to the assigned exercises is presented. Finally, given the compl...