Learn to problem-solve through a subset of computational thinking concepts (algorithm design, automation, and abstraction)  

Understand agent-based techniques to computational thinking (formalization and simulation). 

Basic introduction to concepts of computational thinking (decomposition, pattern recognition, and data representation) 

Ability to read, understand, evaluate and potentially modify existing computational structures and data representations. 

Ability to formulate and decompose a problem into a series of ordered steps (algorithmic thinking) 

Ability to read, understand, evaluate and potentially modify computational models/agent-based models (Netlogo) 

Ability to use abstractions and pattern recognition to represent a problem in new and different ways 

Exercise CT-based problem-orientation by formulating problems in students’ bachelor domains with focus on problems, which can be addressed through CT 

Design computational models to address identified problems using computational thinking techniques