ccsu  Department of Mathematical Sciences 
School of Arts and Sciences
Central Connecticut State University

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Mathematics Department Colloquium

Important Information for Students

  1. In January 2018 the National Science Foundation (NSF) awarded us almost a $5 million grant for a Computer Science, Mathematics and Physics (CSMP) Scholarship Program aimed at increasing the diversity of students who pursue careers in computer science, mathematics, and physics. Over the next five years, our program will award about 90 scholarships. Qualified students majoring in computer science, mathematics or physics disciplines will receive up to $10,000 per academic year. Each scholarship can be renewed for the subsequent year. Therefore, qualified students can receive up to $40,000 during four years of study through this program. If you are or planning to be a CCSU student majoring in CS, Mathematics or Physics, please click here to find out if you are qualified for this scholarship. If you have any questions please contact me.

phonering.gif (8196 bytes) Office:
Marcus White 111
(860) 832-2839
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(860) 832-3753
E-mail address:

Teaching Schedule Fall 2018
August 28 - December 7

MWF 9:25 am - 10:35 am MATH 152 - Calculus I (section 05) MS 212
MWF 10:50 am - 12:00 pm MATH 152 - Calculus I (section 04) MS 212
MWF 1:40 pm - 2:50 pm MATH 221 - Calculus II (section 04) HB 328

Office Hours - Fall 2018
August 28 - December 7

9:00 - 9:20 am MW 111   MW 111   MW 111
12:10 - 12:40 pm MW 111   MW 111   MW 111
12:40 - 1:40 pm         MW 111
Other times by appt.          

Research Interests

  1. General, Categorical, and Geometric Topology and their Applications

  2. Product spaces; continuous extensions of functions defined on subspaces of product spaces; cardinal invariants; covering properties; compact, pseudocompact, countable compact and sequentially compact spaces; closure operators; P-minimal and P-closed spaces; sequential convergence; sequential spaces; extensions of topological spaces; supertopological spaces; neighborhood spaces; separation axioms; proximities; Noetherian spaces; applications of topology in number theory and geographic information systems.
  1. Graph Theory

  2. Hamiltonian graphs