Graduate course
MIS 769
Big Data Analytics for Business
Large-scale data processing, modern text and AI workflows, and practical analytics for business decisions.
Information Systems, UNLV · AI + Healthcare · AI + Safety
Richard Young
Business analytics, healthcare AI, and practical information systems. Outside the classroom I study how minds reason, fail, and learn, and build AI systems that make healthcare safer.
Student essentials
Official course information, one click away.
5Courses this term
30+Publications
80+Open model releases
55K+Model downloads
Teaching
Choose your course
Course pages provide public orientation and syllabus access. WebCampus remains the official home for assignments, announcements, submissions, and grades.
Graduate special topics
MIS 752
AI and Healthcare
Practical and responsible applications of artificial intelligence across healthcare settings.
In person
IS 335 (In Person)
Business Analytics
A classroom-based introduction to analytics thinking, tools, visualization, and business decision-making.
Online
IS 335 (Online)
Business Analytics
A structured online introduction to analytics thinking, tools, visualization, and business decision-making.
Graduate capstone · MS Data Analytics
DA 790
Data Analytics Capstone
One semester, one real problem, worked end to end with advanced methods under my direction. No WebCampus shell; the course page is the course home.
Approach
How I teach
Practical work, careful interpretation, and responsible technology use are built into every course.
Learn by building
Real datasets, guided labs, and practical analytical workflows turn abstract concepts into useful skills.
Understand the decision
Technical results matter when students can interpret them, explain them clearly, and connect them to a real decision.
Use AI responsibly
Students learn what modern systems can do, where they fail, and how to evaluate their outputs with appropriate care.
Chance favors the prepared mind.
Contact & office hours
Questions are welcome.
Fall 2026 office hours are Mondays and Wednesdays from 3:00 to 4:00 p.m. in BEH 328. Friday meetings are available by appointment on Zoom.
Email ryoung@unlv.eduStudent FAQ
Start here.
Where are assignments, announcements, and grades?
WebCampus is the official home for announcements, assignments, submissions, grades, and other protected course materials.
Where can I find my syllabus?
Choose your course on this site and use its syllabus button. The official current syllabus is provided through WebCampus.
How do I distinguish the two IS 335 sections?
One section is identified as In Person and the other as Online. Confirm your enrolled section and meeting details in MyUNLV and WebCampus.
How should I contact Professor Young?
Email ryoung@unlv.edu and include your course code and section format in the subject line so your question can be routed quickly.
When and where are office hours?
Fall 2026 office hours are Mondays and Wednesdays from 3:00 to 4:00 p.m. in BEH 328. Friday meetings are available by appointment on Zoom. Email ryoung@unlv.edu to arrange a Friday appointment.
What should I do if a course is missing in WebCampus?
First confirm your enrollment in MyUNLV. Enrollment changes can take time to appear in WebCampus; contact the instructor if the course remains unavailable.
What does Richard Young research?
AI safety and adversarial evaluation of frontier language models, chain-of-thought faithfulness, clinical and healthcare AI, and computational neuroscience. Publications, datasets, and 80+ open model releases are listed on his CV at cv.deepneuro.ai.
What courses does Richard Young teach at UNLV?
IS 335 Business Analytics (in person and online), MIS 769 Big Data Analytics for Business, MIS 752 AI and Healthcare, and DA 790, the Data Analytics Capstone, all in the Department of Information Systems at Lee Business School.
How do I collaborate with Richard Young on AI research?
Research collaborations, advisory work, and applied AI projects run through DeepNeuro, his independent research practice. Start at deepneuro.ai/richard or email ryoung@unlv.edu with a short description of the problem.
About
Technology makes more sense when it stays human.
Richard J. Young, Ph.D., is an Assistant Professor-in-Residence in Information Systems at UNLV’s Lee Business School and a Senior AI Research Scientist at UnitedHealth Group, where he co-chairs the Enterprise IRB. His research spans AI safety and adversarial evaluation of frontier models, clinical and healthcare AI, and computational neuroscience. He directs Divergence Lab and teaches business analytics, big data, and AI in healthcare.
Outside the classroom I run DeepNeuro, an independent AI research practice. I am open to research collaborations, advisory roles, applied AI projects, and speaking engagements.
Research AI safety, chain-of-thought faithfulness, clinical AI, and neuroscience, with selected publications.
About Richard Background, how my courses run, and where to find the work.
Collaborate via DeepNeuro