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CSC 133 - Discrete Mathematical Structures Dr. Karl Ricanek Jr.

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Presentation on theme: "CSC 133 - Discrete Mathematical Structures Dr. Karl Ricanek Jr."— Presentation transcript:

1 CSC 133 - Discrete Mathematical Structures Dr. Karl Ricanek Jr

2 Quick Info Dr. Karl Ricanek Jr –Web www.uncw.edu/people/ricanekk –Contact CIS 2042 ricanekk@uncw.edu 962-4261 fb: ricanekk and skype: karl.ricanek –Office Hours: TR 9:45am-11:00am and by appointment Teaching Assistant: Paul Martin –Email: pgm0543 –Location: CI 2055

3 What is CSC 133? Discrete Mathematical Structures –Focus on Propositional and predicate logic Proofs (deduction, induction, contradiction) Set theory. Boolean algebra. Recursion. Graphs and Trees. Counting and probability.

4 How Do I Get an ‘A’? Come to every class. –Attendance is required. Read the textbook. –Reading the textbook is required. Do homeworks on time. Make use of office hours, TA, and fellow students. –Send me email early and often.

5 Course and Grading Criteria Attendance –Your attendance grade will be computed by taking the number of classes attended and dividing by the total number of classes (minus 2). This grade counts 1/6 of your total grade. Quizzes 1/6 … drop 2 lowest 2 Midterms …1/6 each Final 1/6 –or (2/6 as it will replace your lowest midterm score) Homework projects … 1/6

6 The Required Text Discrete Mathematics with Applications, 3rd Edition, Susanna S. Epp.

7 An Overview of Each Topic Logic Proofs Functions Recursion Graphs Probability

8 Logic If you know a set of statements are true, what other statements can you also deduce are true? If I tell you that all men are mortal, and Socrates is a man, what can you deduce?

9 Digital Logic

10 Proofs What is a proof? How is programming like writing a proof?

11 Functions What is a function? What if a function calls itself? –That’s recursion!

12 How good is a function at doing its job? What do we mean by “good”?

13 Graphs (and Trees)

14 Probability What is the likelihood of an event occurring? What is randomness? Statistics can be described as the study of how to make inference and decisions in the face of uncertainty and variability


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