Nov 21, 2024  
College Catalog 2016-2017 
    
College Catalog 2016-2017 [ARCHIVED CATALOG]

Mathematics Major


Major Requirements


Students earn a major in Mathematics by choosing between two paths: Mathematics or Applied Mathematics and Statistics.

Requirements for Mathematics are:


  1. Three courses that are introductory to the major (taken in any order)
    MATH 236 - Linear Algebra  
    MATH 237 - Multivariable Calculus  
    MATH 279 - Discrete Mathematics  
  2. Two supporting courses
    MATH 155 - Introduction to Statistical Modeling  and any non-cross-listed Computer Science course
  3. Five Math courses numbered 300 or above and including
    At least one of MATH 377 - Real Analysis  or MATH 378 - Complex Analysis  
    At least one of MATH 376 - Algebraic Structures  or MATH 379 - Combinatorics  
    At least one 400-level Capstone Course taken before spring semester of senior year
  4. Pass the Capstone Presentation

 

 

 

 

Requirements in Applied Mathematics and Statistics are:


  1. Four courses that are introductory to the major (taken in any order):
    COMP 123 - Core Concepts in Computer Science  
    MATH 155 - Introduction to Statistical Modeling  
    MATH 236 - Linear Algebra  
    MATH 237 - Multivariable Calculus  
     
  2. Five intermediate or advanced courses. At least four must be chosen from the following list of applied courses. Of these four courses you must choose a minimum of two with a Statistical (S) designation and at least one 400-level Capstone Course taken before spring semester of the senior year.
    MATH 253 - Statistical Computing and Machine Learning  (S)
    MATH 312 - Differential Equations  
    MATH 354 - Probability  (S)
    MATH 365 - Computational Linear Algebra  (S)
    MATH 432 - Mathematical Modeling  
    MATH 437 - Topics in Applied Mathematics  
    MATH 453 - Survival Analysis  (S)
    MATH 454 - Bayesian Statistics  (S)
    MATH 455 - Mathematical Statistics  (S)
    MATH 479 - Network Science  
    COMP 302 - Introduction to Database Management Systems  (S)
    COMP 484 - Introduction to Artificial Intelligence  (S)

    NOTE: At most, one pure MATH course - numbered 250 or above - which does not appear in the list above may count toward one of the five intermediate or advanced courses.
     
  3. One computation course (which may simultaneiously meet requirement 2 above) chosen from the following list:
    COMP 124 - Object-Oriented Programming and Data Structures  
    COMP 221 - Algorithm Design and Analysis  
    COMP 302 - Introduction to Database Management Systems  
    COMP 340 - Digital Electronics  
    COMP 346 - Internet Computing  
    COMP 365 - Computational Linear Algebra  
    COMP 484 - Introduction to Artificial Intelligence  
    MATH 253 - Statistical Computing and Machine Learning  
     
  4. An integrative experience in the form of at least one of the following:
    An internship or summer research project approved by the department;
    A minor or major in anothe rdepartment tied to applied mathematics or statistics (e.g., physics, economics, psychology, sociology, chemistry, biology, geology, geography, environmental studies, computer science) approved on a case-by-case basis by the department;
    A preceptorship in two mathematics (MATH) or computer science (COMP) courses
     
  5. Pass the Capstone presentation requirement