Cyber intelligence is the collection and analysis of information about cyber adversaries’ (also known as hackers, cyber threat actors) motivations, capabilities, geopolitical aspirations and activities in the cyber and physical domains to support decision making about cyber security.  Students use analytical methodologies, risk assessment models, and cyber security frameworks to develop common vocabulary to support technical and managerial discussions about cyber threats. 

The goal of this course is to familiarize the student with the elements of automated production systems from both traditional and modern (cyber-physical) perspectives, reflecting the long (20-40 year) asset lifecycles commonly seen in large manufacturing plants in both discrete and process industries.

In this exercise, students use Situation Awareness (SA), Gestalt Principles, design affordances, and CIA-for-HMI to design the Human-Machine Interface (HMI) for a cyber-physical system (one that will brew and serve pots of coffee).

This lab exercise explores Fitts Law, which states that response time will be the smallest when the distance to a target is small, and the size of the target is large.