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Computer, Mathematical Sciences & Engineering

The Department of Computer and Mathematical Sciences offers bachelor of science, bachelor of arts and bachelor of science engineering degrees in mathematics, computer science, engineering, as well as minors in computer science, mathematics and physics.

Mission of the Department of Computer, Mathematical Sciences and Engineering

The Mission of the Department of Computer and Mathematical Sciences is to train students in the fields of Computer Science, Mathematics, and Engineering. By encouraging and developing problem-solving, numerical methods, mathematical prowess, critical/analytical thinking, and practical, laboratory-based skills, our students will be well-prepared for careers in any combination of these fields, either via solid preparation for further graduate education or immediate entrance into the workforce (industry, teaching, and national labs).

The mission of the engineering program is to prepare students for professional practice and graduate studies in engineering. By offering fundamental core courses in both electrical and mechanical engineering with specialized tracks in General or Computational engineering, the objective of the program is to produce engineers versed in interdisciplinary team approaches to problem solving. The Engineering Program has set its primary goals: (1) the graduation of BSE students with a broad-based knowledge of engineering analysis and skilled in the art of engineering synthesis and design; (2) the graduation of BSE students possessing skills to communicate effectively their work in written technical reports and oral project presentations; and (3) to graduate students ready to pass the national Fundamentals of Engineering (FE) exam which is required for licensure as a Professional Engineer (PE). Both traditional and contemporary engineering curriculum is offered in the student’s selection of either the General or Computational engineering tracks. Importantly, the program is undertaking standards consistent with rigorous national ABET review and accreditation by 2012.

Faculty

COMPUTER, MATHEMATICAL SCIENCES AND ENGINEERING

505-454-3295  Ivan Hilton Science Technology Bldg

 View the complete department directory listing here.

 

Resources and Facilities

With its move into a new Science Building in Fall 2004, Computer Science now has new computer laboratories and equipment for them. There are two large teaching labs, three small research labs, a student work lab, and an area set aside for network experimentation. The labs are equipped for the most part with machines running both XP and Linux. Software includes symbolic and numerical mathematics products, compilers for a good number of languages, integrated development environments, web and multimedia development tools, databases, and packages for special fields such as artificial intelligence. Some computers are set aside for student experimentation with the understanding that students may install any software as long as copyright laws are not violated.

The Engineering Program occupies classroom, office, and laboratory spaces in the new Hilton Science Center. Modern teaching laboratories, equipped with state of the art equipment, are available in the areas of computer science, simulation, modeling, electrical devices, digital electronics, microprocessors, fluid mechanics, bioengineering, biotechnology, and materials science. All research involves undergraduate students who present their work at regional and national engineering conferences. Modern computational facilities, with internet connectivity, are available for student use, as is a student lounge, student offices, and special projects laboratory.

The BSCE is technology oriented with its roots in high performance computing and computer visualization. Visit the computational engineering website to find out more.

Department Majors

COMPUTER SCIENCE | MATHEMATICS | MATH & COMPUTER SCIENCE FOR SECONDARY SCHOOL TEACHERS | MATH & COMPUTER SCIENCE FOR ELEMENTARY SCHOOL TEACHERS | PHYSICS

Available Minors

Computer Science
Cognitive Science
Combined Science