MAT-101 Mathematics for Liberal Arts

This course is intended for the liberal arts student. The purpose of this course is to share the excitement and enjoyment of contemporary mathematical thinking. The course answers the question, "What do mathematicians do, practice, or believe in?" The use of mathematics in areas of business and industry, politics, networking and telecommunication will be studied with the intent to develop reasoning ability, logical thinking, critical reading, and written and oral communication. The topics are selected so that they are self-contained. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit.

Credits

3

Department

  • Mathematics

Semesters Course Will Be Offered

  • Fall
  • Spring
  • Summer

Course Rotation Schedule

  • Fall: In Person, Online
  • Spring: In Person, Online
  • Summer: In Person, Online
For more detailed course information view the Course Outline

MAT 101: Mathematics for Liberal Arts

Department

Mathematics

Course Description

This course is intended for the liberal arts student. The purpose of this course is to share the excitement and enjoyment of contemporary mathematical thinking. The course answers the question, "What do mathematicians do, practice, or believe in?" The use of mathematics in areas of business and industry, politics, networking and telecommunication will be studied with the intent to develop reasoning ability, logical thinking, critical reading, and written and oral communication. The topics are selected so that they are self-contained. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit.

Credit Hours

3

Contact Hours

Lecture3
Lab0
Other0

Grading Scheme

Letter

Semester(s) Course Will Be Offered

Fall, Spring, Summer

SUNY General Education Course

  • Mathematics and Quantitative Reasoning

Course Learning Outcomes

  1. Understand and execute algorithms to navigate through and solve problems.
  2. Via the topics studied throughout the course, make connections between the historical context and applications to current society.
  3. Describe and use the process of abstraction to model real world problems.
  4. Evaluate obtained results for reasonableness.

Topic Outline

  1. The following three topics are mandatory for this course:
  2. 1. Voting theory and weighted voting
  3.     a. Preference schedules
  4.     b. Fairness conditions and Arrow's impossibility theorem
  5.     c. Voting methods: plurality, instant runoff, Borda count, and Copeland's
  6.     d. Weighted voting systems
  7.     e. Banzhaf and Shapley-Shubik power indices
  8. 2. Graph theory
  9.     a. Graphs, vertices, and edges
  10.     b. Shortest path and Dijkstra's algorithm
  11.     c. Euler circuits and Eulerization
  12.     d. Hamilton paths and circuits
  13.     e. Weighted graphs and the traveling salesperson problem
  14.     f. Spanning trees
  15. 3. Modular arithmetic with applications to cryptography
  16.     a. Substitution ciphers and the Caesar cipher
  17.     b. Modular arithmetic and modular formulas for the Caesar cipher
  18.     c. Transposition ciphers and modular formulas for them
  19.     d. Public-key encryption and RSA
  20. Each section of this class must cover at least two topics selected from the following list. Selection may be made based on instructor preferences or student interest. More than two of these topics may be covered if time permits.
  21. 4. Scheduling
  22.     a. Digraphs
  23.     b. Priority lists and list processing algorithms
  24.     c. Critical path algorithms
  25. 5. Apportionment and fair division
  26.     a. Apportionment criteria and issues
  27.     b. Apportionment methods: Hamilton's, Jefferson's, Webster's, Huntington-Hill, and Lowndes'
  28.     c. Fair division methods: divider-chooser, lone divider, last diminisher, and sealed bids
  29. 6. Set theory
  30.     a. Set terminology (set, elements, and subsets)
  31.     b. Set operations (union, intersection, and complement)
  32.     c. Set cardinalities
  33.     d. Venn diagram representations of sets
  34. 7. Counting systems
  35.     a. Roman numerals
  36.     b. Incan quipu
  37.     c. Mayan numerals
  38.     d. Hindu-Arabic (place value) number system
  39.     e. Place value systems in alternative bases
  40. 8. Fractals
  41.     a. Self-similarity and iterated fractals
  42.     b. Fractal dimension
  43.     c. Complex numbers and the complex plane
  44.     d. The Mandelbrot set
  45. 9. Symbolic logic
  46.     a. Boolean logic and operations (conjunction, disjunction, negation, and conditionals)
  47.     b. Truth tables
  48.     c. Quantifiers and predicates
  49.     d. Arguments and fallacies
  50. 10. Game theory
  51.     a. Modeling using games and game matrices
  52.     b. Symmetric and asymmetric information
  53.     c. Alternate-move and simultaneous-move games
  54.     d. Zero-sum and non-zero-sum games
  55.     e. Nash equilibria
  56.     f. The prisoner's dilemma