This course covers the foundations of discrete mathematics as they apply to computer science. The course is an introduction to propositional logic, logical connectives, truth tables, normal forms, validity, predicate logic, universal and existential quantification, and the limitations of predicate logic. Also, the following topics are covered: the number system, the Euclidean algorithm, proof techniques, mathematical induction, counting arguments, permutations and combinations, binomial coefficients, sets, functions, relations, matrices, and Boolean Algebra.
Course Learning Outcomes:
1) Students shall be able to work with sets, relations, functions, and matrices.
2) Students shall be able to use different proof techniques including truth table, contradiction and induction.
3) Students shall be familiar with Boolean algebra.
4) Students shall be familiar with various counting principles.
0.000 TO 3.000 Credit hours
3.000 Lecture hours
Levels: Undergraduate
Schedule Types: Lab, Lecture, Tutorial
Computer Science & Mathematics Division
Mathematics Department
Course Attributes: LAC Sci.& Quant.Reason. Elect.
Restrictions:
May not be enrolled in one of the following Programs:
Freshman Science
Freshman Arts
May not be enrolled in one of the following Degrees:
Executive MBA
Prerequisites:
MTH 102
