Undergraduate Research Program in Mathematics and Computer Science

Overview

If you are interested in researching an advanced topic in Mathematics or Computer Science, then consider taking on an undergraduate research project.  You can work one-on-one with a faculty mentor with expertise in that field.

Involvement with research projects will be recognized on your transcript via one or both of the 2 credit honors sections courses MA905 and MA906: Undergraduate Research in Mathematics and/or Computer Science I and II.

Prerequisites:

  • GPA 3.0
  • MA440 or permission by the department
  • Recommendation of Faculty members

Keep in mind that a research project requires a lot of time and hard work.  You should be confident that you will be able to devote extra time to such a project while maintaining good grades in your other courses.

To learn more about the program, contact Dr. Andrew Bulawa (abulawa@qcc.cuny.edu, Room S-324). 

Some Possible Topics Include

  • Mathematical Modeling
  • Simulations
  • Computer Coding or Web Design
  • Statistical Research, Statistical Research of Social Justice issues
  • Logic, Algebra, Geometry, Number Theory, Analysis
  • Actuarial Science
  • Fourier Analysis
  • Building a Turing machine
  • Signal Processing and wavelets
  • Mathematical Neuroscience
  • Dynamical Systems
  • Pedagogical Research (in Math) or Math Education projects
  • Computer Science
  • Group Theory
  • General Relativity
  • Linear Algebra
  • Optimization and Algorithms

Past, Present, and Future Research Projects

Past and Current Projects

Potential Future Projects


If you are a faculty member and would like to participate as a mentor, then please submit a proposal containing the following to the UR committee (Andrew Bulawa, Tian Ren, Biao Wang).

  1. The title of the project with an abstract
  2. A brief description of the student’s role in the project and expected learning outcomes
  3. An estimated number of hours the student needs to meet with the mentor every week
  4. A grading policy (e.g. weights on midterm and final presentations, attendance, etc.)

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