Current and Upcoming Courses:	Contact Info:
**Current Course info and syllabus can be found in CANVAS and also UH ACCESS Tentative 2025 - 2026 Schedule: Summer 2025: Math 2414 - Calculus 2, Session 4 Fall 2025: Math 2414 -  Calculus 2 Math 2305 - Discrete Math Spring 2026: Math 2312 - Precalculus (mini session) Math 2413 - Calculus 1 Math 2414 - Calculus 2 Math 3379 - Intro to Higher Geometry NOTE: for those taking an asynchronous class with me- this does not mean "go at your own pace"  the course has set due dates just like the on campus course -- the idea is to give you the flexibility as to when you watch the lecture videos and go to online office hours.  The testing for the online course IS ON CAMPUS unless you are out of the Houston area by more than 100  miles -- then you will need this information to set up your proctoring site: UH Proctoring Services:  Educational Testing Services - University of Houston (uh.edu) National College Testing Association:  Interactive Map (memberclicks.net) For Course Materials -- please see below. Students participating in CTAP have no purchases needed for this course.  However, the following resources are needed: CANVAS:  http://www.canvas.uh.edu CCS:  https://ccs.casa.uh.edu/ TEAMS:  Sign-in to Microsoft Teams - University of Houston (uh.edu) Updated: April 2025	Jennifer J. May, Ph.D. Instructional Assistant Professor Assistant Director of Graduate Studies Director of GS:  Dr. Alan Haynes Department of Mathematics University of Houston 4800 Calhoun Rd Houston, Texas 77204 Office:  218B PGH Email:  jrmay at uh.edu  (limited response during summer / winter hours, thank you for your patience) Office Hours: See CANVAS for updated hours
Tutoring Resources:	Professional Involvement:
LAUNCH CASA SEP Tutoring SEP WORKSHOPS Instructor's Office Time Meet our Graduate Students	UH AMS UH AWM UH Dynamical Systems Seminar UH Analysis Seminar
Research Interests and Resources:
Dissertation Title:  Geometric Conditions for the Recovery of Sparse Signals on Graphs from Measurements Generated with Heat Kernels PrePrint: [2305.02635] Deconvolution on graphs via linear programming (arxiv.org) Resources for those interested:   Xiaowen Dong - Resources (mit.edu)