Applied Engineering Stochastic Processes – Adjunct Faculty – Traditional Campus (Spring 2027) – College of Engineering and Technology
Core
Adjunct faculty member teaching Applied Engineering Stochastic Processes, focusing on modeling, quantification, and analysis of uncertainty in engineering problems using Markov chains, random walks, and Galton-Watson trees.
Role type
Adjunct faculty (part-time instructor)
Builds
Course curriculum and student learning outcomes in engineering mathematics
Domain
Higher Education / Engineering Mathematics
Deliverable
product features
Required skills
Teaching, Classroom instruction, Student assessment, Mentoring, Engineering mathematics, Stochastic processes, Markov chains, Random walks, Galton-Watson trees
Preferred skills
Doctorate degree, Master's in engineering, Master's in applied mathematics or statistics
Responsibilities
Facilitate classroom lecture and discussions, Engage students in learning course objectives and topics, Assess student performance and mentor success in the classroom, Provide a positive example to students by supporting the University's Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University