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Applied Mathematics and Computer Science
Description
Four qualities are found in a good candidate for Applied Mathematics and Computer Science: Good math skills, a science background, good problem solving skills and excellent communication skills.
Students can concentrate their studies in these areas:
- Actuarial Science » helps insurance companies estimate risk and trends forecasting.
- Bioinfomatics » a new and expanding field serving medical research analysis and interpreting data.
- Business Management » prepares students to work with data and help companies plan for the future.
- Software Development » prepares students to work in coding and problem solving.
- Information Assurance and Cyber Security » prepares students to assure the safety of valuable information that is shared through digital technology.
- Mathematics Education » prepares students to teach at the middle and high school levels.
High School Preparation
Enrollment for this program is competitive and require further academic achievement. Be sure to review that section when reading the general admissions criteria page.
- Take as much math in high school as possible along with any introductory computer science courses.
Careers
- Actuary
- Software engineer
- Systems analyst
- Programmer
- Financial analyst
- Web Developer
Average beginning salary for UW-Stout graduates in this major — $48,000
100% employed in 2011–2012
View our Annual Employment Report for more details.
Explore Your Courses:
Fall
Calculus and Analytic Geometry 1
Computer Science I
Freshman English – Composition or Freshman English – Honors I
Fundamentals of Speech
General Education – Humanities
Health or Physical Education
Spring
Calculus and Analytic Geometry II
Computer Science II
Foundations of the Language of Mathematics
Freshman English – Reading or Freshman English – Honors II
General Education-Social and Behavioral Sciences
See our Undergraduate Bulletin for more information on these courses.
» Courses You May Take in the Major
Foundations of the Language of Mathematics
Conceptual foundations of mathematics and the language of mathematics. Logical rules of inference, statement forms, methods of proof, universal and existential quantifiers, abstraction and definition, set theory, relations, functions and cardinality.
Web and Internet Programming
Design and implementation of web and internet software systems using current programming languages, scripting languages, and interface standards. Network programming and client/server applications. Event-driven programming, multi- threading, exception handling, windows programming and multimedia programming. Support for database access via web programs.
Computer Science II
Problem-solving and algorithm development using a high-level language. Structured programming concepts, debugging and esting, string processing, searching and sorting, elementary data structures, recursion and files.
Algorithms and Artificial Intelligence
Introduction to the design and analysis of computer algorithms. Concepts of artificial intelligence and machine learning to enhance analytical and problem solving skills.
Linear Algebra
Algebra of linear transformations and matrices. Determinants, equivalence relations, rank systems of equations, vector spaces, orthogonal transformations, characteristic equations and quadratic forms.
Real Analysis I
Rigorous development of advanced topics in analysis; functions, real numbers, sequences, Cartesian spaces, sequences of functions, limit superior and inferior, continuous functions.
Conceptual foundations of mathematics and the language of mathematics. Logical rules of inference, statement forms, methods of proof, universal and existential quantifiers, abstraction and definition, set theory, relations, functions and cardinality.
Web and Internet Programming
Design and implementation of web and internet software systems using current programming languages, scripting languages, and interface standards. Network programming and client/server applications. Event-driven programming, multi- threading, exception handling, windows programming and multimedia programming. Support for database access via web programs.
Computer Science II
Problem-solving and algorithm development using a high-level language. Structured programming concepts, debugging and esting, string processing, searching and sorting, elementary data structures, recursion and files.
Algorithms and Artificial Intelligence
Introduction to the design and analysis of computer algorithms. Concepts of artificial intelligence and machine learning to enhance analytical and problem solving skills.
Linear Algebra
Algebra of linear transformations and matrices. Determinants, equivalence relations, rank systems of equations, vector spaces, orthogonal transformations, characteristic equations and quadratic forms.
Real Analysis I
Rigorous development of advanced topics in analysis; functions, real numbers, sequences, Cartesian spaces, sequences of functions, limit superior and inferior, continuous functions.
See our Undergraduate Bulletin for more information on these courses.
Program Video
Contact Information
Laura Schmidt, Program Director
231D Jarvis Hall – Science Wing
University of Wisconsin-Stout
Menomonie, WI 54751-0790
Phone: 715/232-2537
Email: schmidtlaur@uwstout.edu
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