Available individually or as part of a complete program
Individual courses
Any course may be licensed on its own, combined with others into a tailored collection, or acquired as part of the complete program — and customized for different audiences, schedules, modalities, industries, or jurisdictions.
What a licensed course includes
More than a syllabus — a complete instructional unit
Course documentation
Complete syllabus, scope, rationale, prerequisites, and program alignment.
Seven weekly modules
Weekly outcomes, three-hour session plans, and asynchronous activities.
Labs, workshops, cases
Environment, setup, procedure, expected output, and troubleshooting.
Assessments & rubrics
Assignments, projects, discussions, and matching grading rubrics.
Instructor & student guides
Preparation, facilitation, grading, and step-by-step student instructions.
Alignment & support
Career and certification mapping, technology requirements, and implementation support.
BSAIML
B.S. in Artificial Intelligence and Machine Learning
The model course: what AI is, its history, capabilities, limits, and the landscape of methods and tools.Core · 3 cr
Python for data and modeling — environments, libraries, notebooks, and reproducible workflows.Core · 3 cr
Sourcing, cleaning, transforming, and engineering data into model-ready features.Core · 3 cr
Supervised and unsupervised learning, model families, and the bias–variance tradeoff.Core · 3 cr
Building and training models, tuning, and managing experiments end to end.Core · 3 cr
Metrics, validation strategy, error analysis, and honest reporting of performance.Core · 3 cr
Fairness, transparency, accountability, privacy, and governance across the lifecycle.Core · 3 cr
Packaging, serving, monitoring, and maintaining models in production environments.Core · 3 cr
Foundation models, prompting, retrieval, evaluation, and safe application patterns.Elective · 3 cr
Deploying AI where privacy, security, and regulatory constraints govern the work.Elective · 3 cr
Designing AI products around how people understand, trust, and adopt them.Elective · 3 cr
An integrative, professional project defended before faculty and documented as a portfolio artifact.Capstone · 3 cr
BSCYBER
B.S. in Cybersecurity and Critical Infrastructure Protection
Core concepts, the threat landscape, controls, and the vocabulary of the field.Core · 3 cr
Risk frameworks, policy, and aligning security to regulation and standards.Core · 3 cr
Telemetry, detection engineering, and security monitoring in practice.Core · 3 cr
Response lifecycle, evidence handling, and forensic investigation.Core · 3 cr
Designing, hardening, and evaluating secure systems and networks.Core · 3 cr
Ethical offensive techniques, testing, and thinking like an adversary.Core · 3 cr
Protecting the sectors and systems that society depends on.Core · 3 cr
Securing ICS/SCADA and operational-technology environments.Core · 3 cr
Building, running, and communicating a security program.Elective · 3 cr
Security across transportation and mobility infrastructure.Elective · 3 cr
Third-party, supply-chain, and emerging-technology risk.Elective · 3 cr
An integrative, professional project defended before faculty and documented as a portfolio artifact.Capstone · 3 cr