BIO114 Anatomy and Physiology with Terminology I
College of Nursing Arts and Sciences | Health Sciences/Nursing Only Department
Course Description: This course is Part 1 of a two-part comprehensive course presenting the interrelationship of each body system. The course presents an integrated approach to human anatomy and physiology, microbiology, and pathology. It includes basic chemistry, physics, cell structure, cell physiology, metabolism, tissues, and integumentary, skeletal, muscular, endocrine and nervous systems as it relates to health sciences. This course is also designed to provide students entering the healthcare profession with skills to learn medical terminology. It focuses on basic techniques of medical word building and application of these techniques to acquire an extensive medical vocabulary.
Credit Hours: 2.00
Prerequisites: None
Corequisites: BIO114L
BPA245 Alternative Baking
College of Culinary Arts Baking and Pastry Arts Department
Course Description: This course provides students an overview of basic nutrition and how to provide the consumers with various diet conditions nutritionally sound baked products using alternative baking ingredients and techniques. Students will bake and finish products to accommodate gluten free, diabetic, vegan, and allergy related conditions. The course will explore the use of alternative grains, sweeteners, and binders.
Credit Hours: 2.00
Corequisites: None
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 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