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Lecture notes for Computer Science departement
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Course Title: Discrete Mathematics and Combinatory Course No: Math 261 Credit Hours: 3 Contact Hours: 3 (3 Lect. hrs.) Prerequisite: Stat 192 Laboratory: NA
Course Objectives At the end of the course the student will be able to:
Course Description This course surveys diverse topics as the logical foundations of mathematics, number theory, and combinatory and graph theory. This survey advances three goals. First, by introducing students to a range of concepts, we begin the gradual, subconscious process of developing intuition about these concepts. Second, these areas provide a setting in which students can learn to give rigorous proofs. And third, these particular areas naturally lend themselves to the aesthetic qualities of mathematics, and to the creative aspects of the mathematical process. Lectures will be centered on number theoretic and combinatorial problems. These problems will motivate our exploration of the techniques used in the class techniques such as modular arithmetic, mathematical induction and combinatorial proofs. In addition to attending lectures, students will have the opportunity to work in groups to solve problems in class.
Course Contents
1.5. Demorgan’s properties, 1.6. Applications/number of elements in a set 1.7. Definition of relation, binary relation 1.8. Types of relations:- equivalent relation, equivalent classes, partial order relations and functions 1.2. Basic counting principles 1.9. Addition Principle 1.10. Multiplication Principle 1.3. The Binomial Theorem 1.4. The Inclusive – Exclusive Principle
Course Delivery Modalities
underlying primitive graphical functions in computer graphics packages and advancing to algorithms that create objects with sophisticated appearance.
Course Contents
1.19. Polygon Inside Test 1.20. Even-odd Method
Course Delivery Modalities Teaching Methods: Lecture, Laboratory practical work and Simulation Evaluation Methods: Theoretical Tests (20%), Assignment (15%), Project work (15%) and Final Exam (50%)