Casablanca Advanced Methods in Computation and Information Science (CAMCIS)

Advanced training for graduate students in engineering, medicine, computer science, information science, and health informatics. Focus is on technical skills and research in specialized domains. The learning will combine in-class engagements and hands-on work on advanced machine learning and data analytics methods. The goal is to bring diverse multidisciplinary expertise together to learn about critical areas in an applied and intensive setting.

CAMCIS Certificate Structure

CoreSpecial Topics
Foundation in Health InformaticsElectronic Health Record Systems
Advanced methods in Data AnalyticsAI & ML Methods in Healthcare

2026 Course Offerings

CourseInstructorAffiliationTitle
Electronic Health Record SystemSaif KhairatUniversity of North CarolinaProfessor & Beerstecher-Blackwell Distinguished Term Scholar
AI & ML Methods in HealthcareJaved MostafaUniversity of TorontoDean & Professor

Research Seminar

Open to graduates and advanced graduates at the discretion of faculty lead. The seminar targets collaborative research outputs, such as: draft publication, funding proposal, conference paper.

Weekly Schedule

Monday – WednesdayThursday
MorningCourse offeringsLaboratory (1 hr)
AfternoonResearch Seminar (1 hr)

CAMCIS Research Partners