Department of mathematics + computer science
In today’s ever-changing world, mastering math and science will always give you an advantage no matter your career choice. The Department of Mathematics and Computer Science is committed to providing you with a concrete background in mathematical and scientific thought. The huge growth in fields built upon math and science has created a strong demand for qualified computing professionals. Math will always be the foundation of any cutting-edge technology, so why not broaden your horizons by joining LTU’s high-caliber community of mathematicians and scientific analysts? At LTU, you will learn from devoted professors committed to your success.
IN THE NEWS
LTU places sixth in Intelligent Ground Vehicle Challenge
Lawrence Technological University’s robotic vehicle, iWheels, finished sixth in the Auto-Nav Challenge, the main event at the 21th annual Intelligent Ground Vehicle Competition held at Oakland University June 7-10. More than 50 teams from around the country and as far away as India and Japan entered the prestigious competition.
Jun 13
Research shows that computers can match humans in art analysis
Jane Tarakhovsky is the daughter of two Russian artists, and it looked like she was leaving the art world behind when she emigrated to the US in 1998 and decided to become a computer scientist after receiving her bachelor’s degree in history at 15 years old at an art school in Russia.
Mar 5
Shamir's proposal for identifying individuals attracts worldwide attention
In the latest edition of the International Journal of Biometrics, Assistant Professor Lior Shamir of Lawrence Technological University demonstrates that it could eventually be possible to use MRI technology to ascertain individual identity by scanning hard-to-alter body parts such as knees.
Feb 28
5 LTU students compete in math marathon
It’s that time of year again! Five dedicated Lawrence Technological University (LTU) students participated in this year’s Mathematical Contest in Modeling (MCM).
Feb 28
MCS undergraduate develops a new method to study the brain
MCS undergraduate Erik Schwartz worked on a novel computational method that uses a new approach to brain image analysis. Rather than analyzing single voxels, his method analyzes global features in the brain connectivity as imaged by structural MRI. Experimental results using a dataset of MRI images acq...
Jan 2
