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What is Math & Computer Science?

Mathematics is the study of topics such as quantity, structure, space, and change. Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers specializing in the theory of computation and the design of computational systems.

 Cooper Complex Bld. B |

(256) 726-7266

 (256) 726-7267

The Department of Mathematics & Computer Science allows students to pursue graduate work, teach secondary school, obtain employment in government and industry, and acquire mathematical tools for use in the physical, social, life, and management sciences.

Since mathematical scientists use mathematics to solve real-world problems, a degree in mathematics and computer science prepares a student for a variety of positions in business, government, industry, and education (teaching K-12). The types of exciting and rewarding careers available include actuary, cryptologist, computer programmer, computer systems analyst, information scientist, mathematician, numerical analyst, operations research analyst, and statistician.

MEET FACULTY
MAJORS:

  • Applied Mathematics (B.S.)
  • Mathematics Education (B.S.)
  • Computer Science (B.S.)
  • Computer Networks (B.A.)
  • Mathematics (B.S. & B.A.)

MINORS:

  • Computer Science
  • Mathematics
  • Physics

ORGANIZATIONS:

  • Mathematics & Computer Science Club (Sigma Mu)
SOME COURSES YOU MAY TAKE:
CM 210 : Computer Science I with C++
An introduction to computers and structured programming using the C++ programming
language. Topics will include problem-solving methods and algorithms, data types, loops,
arrays, functions, structures, character strings, pointers, operations on bits, fi les, and computer
network sockets programming. Program design and program styles will be emphasized.

3 HOURS

IS 415 : Database Management
This course provides an introduction to database management systems, including data
modeling, relational algebra, and Structured Query Language (SQL). Topics such as integrity
rules, normalization, entity relationship diagrams (ERD) are also discussed. Student will
additionally be exposed to database administration, policy and security concepts. Prerequisite:
IS 340.

3 HOURS

CM 402 : Design and Analysis of Algorithms
Topics studied includes: Analysis tools-Turing and Markov algorithms, complexity measures,
computational techniques; bound analysis of algorithms. Algorithms for internal and external
searching/sorting. Network stack analysis. Optimality. Prerequisite: CM 220.

3 HOURS

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