This module explores the safety and cybersecurity aspects of AI systems, focusing on evaluating their security, privacy, and autonomous concerns. It also covers the applicability and functionality of large language models (LLMs), including how algorithms and learning patterns enhance their performance.

This module explores the legal accountability of AI systems, examining how they are regulated and governed. It covers human factors in computing systems and the policies that AI systems fall under. Students will assess how ChatGPT contributes to or detracts from value and analyze the impact of chatbots on large language models (LLMs).

This course explores the Purdue Enterprise Reference Architecture Model and Unified Facilities Criteria, providing a framework for industrial control systems (ICS). It covers basic control systems like PLC, SCADA, and DCS, and examines the operational differences between IT and OT environments. Students will learn about key cybersecurity control elements to enhance ICS security, identify top vulnerabilities from a cyber perspective, and understand the usage and implementation of PLC application firewalls and software whitelisting.

In this module, we will continue our discussion of Industrial Control System (ICS) networks. Specifically discussing what encompasses supply chain risks, Original Equipment Manufacturers/Vendors, and techniques for mitigating these risks. We will also discuss and examine several different types of ICS/OT protocols regarding their characteristics, purposes/implementations, the cybersecurity concerns with various OT proprietary and open protocols, and the differences between OT and IT environments.