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Course overview. Course title: Discrete mathematics for Computer Science Instructors: Dr. Abdelouahid Derhab ( abderhab@ksu.edu.sa ) Credit hours: 7/week. Prerequisite . Engineering Probability & Statistics Data structure. Goals of the course.
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Course overview • Course title: Discrete mathematics for Computer Science • Instructors: • Dr. AbdelouahidDerhab (abderhab@ksu.edu.sa) • Credit hours: 7/week
Prerequisite • Engineering Probability & Statistics • Data structure
Goals of the course • The course is an introductory course in discrete mathematic with emphasis on how this theory can be invoked to develop efficient algorithms and systems. Also, it serves as the mathematical perquisite for many advanced courses (design & analysis of algorithms).
OUTCOMES • Students will be able to: • discuss and use set theoretic techniques, (operations, Venn diagrams, etc.). • solve problems in combinatorics (permutations, combinations, etc..). • perform various operations with relations and functions (congruence, methods of proof, induction, recursion, etc..). • explain and use the concepts of graphs and trees.
Recommended textbooks • Scheinerman, Edward, Mathematics: A Discrete Introduction, 2006, Cengage. • Roman, Steven. An Introduction to Discrete Mathematics, 2nd edition, Saunders, NY. • Rosen, Kenneth h. Discrete Mathematics and Its Applications, 2 ed, McGraw/Hill • Dossey, John A. et al, Discrete Mathematics, 3rd edition, Addison-Wesley, Reading, MA.
Course content • Foundations: Sets, Sequences, and Functions • Logic: propositional logic, equivalences, predicate logic; mathematical reasoning: rules of inference, methods of proving. • Relations • Induction and Recursion • Counting • Graphs and Trees • Recursion, Trees, and Algorithms • Boolean Algebra
Grading • Home work: 30 points • 3Quizes: 30 points • Exam: 40 points
Notes for email communication • Your email header must start with [CSC278] • Send your email to abderhab@KSU.edu.sa email address. • Please write your name and your ID at the end of the email