Curriculum for Liberal Education

Area 5: Quantitative and Symbolic Reasoning

6 credit hours (2 courses) selected from approved CLE courses

Goals for Area 5

  1. Increase basic competence in quantitative reasoning and problem solving, starting at an appropriate entry level;
  2. Understand some fundamental principles of reasoning that are involved in mathematics or logic;
  3. Understand quantitative and symbolic reasoning through the study of significant applications of mathematical sciences.

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Current Course Offerings

All of the following courses are approved for the Curriculum for Liberal Education for Area 5. If your college requires depth studies in this Area, you may choose one of the course combinations listed, or courses in sequence (course number ending with 5 or 6; for example, MATH 1015 and 1016). Colleges may also recommend particular combinations of courses.

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Computer Science

Mathematical Sciences

Mathematics

Philosophy

Statistics

Some of these courses are not offered every term. Check
the catalog and timetable for relevant offerings.

Computer Science

  • CS 1044 Introduction to Programming in C

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Mathematical Sciences

  • MASC 1024 Mathematics: A Liberal Arts Approach
  • MASC 1034 Statistics: A Liberal Arts Approach
  • MASC 1044 Computer Science: A Liberal Arts Approach

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Mathematics

  • MATH 1015–MATH 1016 Elementary Calculus with Trigonometry, I
  • MATH 1205–MATH 1206 Calculus I and II
  • MATH 1525–MATH 1526 Elementary Calculus with Matrices
    I and II
  • MATH 1535–MATH 1536 Geometry and Mathematics of Design
  • MATH 2015–MATH 2016 Elementary Calculus with
    Trigonometry, II
    (Pre: MATH 1016)
  • MATH 2524 Matrices, Modeling and Linear Programming
    (Pre: MATH 1016 or MATH 1205 or MATH 1526)

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Philosophy

  • PHIL 1504 Language and Logic
  • PHIL 3505–3506 Modern Logic and Its Development

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Statistics

  • STAT 2004 Introduction to Statistics
    (Pre: MATH 1015)
  • STAT 3005 Statistical Methods
    (Pre: MATH 1206)
  • STAT 3604 Statistics for the Social Sciences
    (Pre: MATH 1015)
  • STAT 3615 Biological Statistics

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