EMS205 Airway Management and Ventilation
College of Health Science Emergency Medical Services Department
Course Description: This course presents advanced airway assessment, airway management and ventilation skills for the paramedic, building on the basic foundation from EMT.Topics include airway anatomy, physiology of ventilation, advanced airway management, ventilation techniques, pulse oximetry, capnography, and pharmaceutical agents used in airway management.
Credit Hours: 2.00
Prerequisites: EMS203
Corequisites: None
SDC385 AI/ML and Data Analytics Tools
College of Technology Software Development and Coding Department
Course Description: This course will provide students with advanced concepts and tools used in data analytics. Using a project-based approach, students will learn how to leverage Python and its analytics tools to implement the entire analytics process of data collection, cleaning, presentation, and automation.
Credit Hours: 3.00
Prerequisites: SDC380
Corequisites: None
SDC485L AI/ML and Data Analytics Methods and Modeling Lab
College of Technology Software Development and Coding Department
Course Description: This course will provide students with application oriented experiences in data analytics methods and modelling. Student will learn skills required to use data analytics methods and modelling tools in a data oriented solution.
Credit Hours: 1.00
Prerequisites: SDC385
Corequisites: SDC485
SDC485 AI/ML and Data Analytics Methods and Modeling
College of Technology Software Development and Coding Department
Course Description: This course will provide students with an application of data analytics methods, modelling, and visualization tools and techniques. Students will learn about different tools, methods, and approaches to the depiction of data.
Credit Hours: 3.00
Prerequisites: SDC385
Corequisites: SDC485L
SDC486L AI/ML and Advanced Data Analytics Lab
College of Technology Software Development and Coding Department
Course Description: This course will provide students with application oriented experiences in data visualization. Student will learn skills required to use data visualization tools in a data oriented solution.
Credit Hours: 1.00
Prerequisites: SDC485
Corequisites: None
MSCS675 AI/Machine Learning and Cybersecurity
College of Technology Cybersecurity Department
Course Description: This course gives hands-on practice using artificial intelligence in cybersecurity. Students will analyze real network captures and apply machine-learning models to spot unusual activity and determine risk. Large language models (LLMs) support research—helping brainstorm questions, summarize sources, and explain results—while students verify all facts with trusted references. Content maps to NIST principles and CISSP domains and aligns with NSA/CAE academic outcomes. By the end, learners can connect AI methods to practical threat detection tasks.
Credit Hours: 3.00
Prerequisites: MSCS525
Corequisites: None
CST440 AI/Machine Learning
College of Technology Cybersecurity Department
Course Description: This course will provide students with an introduction to artificial intelligence (AI) and machine learning and their use in business today. Students will receive an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.
Credit Hours: 3.00
Prerequisites: None
Corequisites: None
CYB440 AI/Machine Learning
College of Technology Cybersecurity Department
Course Description: This course will provide students with an introduction to Artificial Intelligence (AI) and Machine Learning and their use in business today. Students will receive an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.
Credit Hours: 3.00
Prerequisites: None
Corequisites: None
CIS335 AI/Machine Learning
College of Technology Cybersecurity Department
Course Description: This course will provide students with an introduction to Artificial Intelligence (AI) and Machine Learning and their use in business today. Students will receive an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.
Credit Hours: 3.00
Prerequisites: CIS321
Corequisites: None
MSCS695 AI-Enhanced Cyber Defense Capstone
College of Technology Cybersecurity Department
Course Description: This course provides hands-on experience in cyber defense through continuous Red Team/Blue Team simulations. Students will harden operating systems, configure firewalls, and utilize AI-driven tools for real-time threat detection, log monitoring, and mitigation. Throughout the course, students will assess vulnerabilities, implement defense strategies, and respond to cyber threats as both attackers and defenders, developing practical skills in securing and monitoring a simulated corporate network.
Credit Hours: 3.00
Prerequisites: None
Corequisites: None