Systems Modelling and Data Analysis + Engineering of Intelligent Systems
Lectures: Tuesdays, C-2, Room 429, 15:30-17:00
The following classes will focus on modelling of discrete optimization and constraint satisfaction problems. Student will learn how to represent correctly different problems using constraint programming techniques.
The following classes will cover automated planning problems. Student will learn how to represent planning problems using constraint programming and dedicated tools.
This part of the course will present probabilistic programming — a new programming paradigm meant to model domains uncertainty and imperfect knowledge.
There are three projects to choose from:
All the project are available via gitlab.
Instructions, how to do the projects are included in the README.md
files.
The deadline is simply last class in the semester. While grading I will check: