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Questions and Answers

What percentage of the total grade is allocated to the Final Exam?

  • 60%
  • 30%
  • 40%
  • 50% (correct)
  • Which of the following topics is NOT covered in the course?

  • Propositional Logic
  • Sets And Sets Operations
  • Algorithms (correct)
  • Functions
  • What is the title of the textbook used for the course?

  • Introduction to Discrete Mathematics
  • Discrete Mathematics and its Application (correct)
  • Discrete Mathematics and Its Foundations
  • Applied Discrete Mathematics
  • What edition of the textbook is specified for the course?

    <p>8th Edition</p> Signup and view all the answers

    How much of the assessment is based on Mid-Term Exam performance?

    <p>20%</p> Signup and view all the answers

    Which week does the content cover for the Fall Semester?

    <p>Week 3,4</p> Signup and view all the answers

    Which assessment method has the highest weight in this course?

    <p>Final Exam</p> Signup and view all the answers

    Which of the following is an activity assessed in the course?

    <p>Tutorial and Lab Attendance</p> Signup and view all the answers

    Which course code is assigned to Discrete Structures?

    <p>MA 112</p> Signup and view all the answers

    What should students use as a study guide?

    <p>Lecture notes</p> Signup and view all the answers

    Study Notes

    Course Information

    • Course Title: Information Technology
    • Subject: Discrete Mathematics
    • Course Code: MA 112
    • Semester: Fall 2023-2024
    • Textbook: Discrete Mathematics and its Applications by K. Rosen, 8th Edition
    • Course Website URL: Provided
    • Instructor Information: E-mail and office location are provided

    Course Topics

    • Sets and Set Operations
    • Functions
    • Relations
    • Mathematical Induction
    • Propositional Logic
    • Proof Techniques
    • Graphs
    • Trees

    Assessment Method

    • Assignments: 20%
    • Quizzes: 20%
    • Tutorial and Lab Attendance/Performance/Interaction: 50%
    • Mid-Term Exam: 50%
    • Final Exam: 100%

    Propositional Logic

    • Propositional logic is the study of relationships between objects
    • Propositional Logic forms the basis of mathematical reasoning and automated reasoning.
    • Proposition: Declarative sentences that are either true or false.
    • Examples of propositions:
      • Cairo is the capital of Egypt (True)
      • 1 + 1 = 2 (True)
      • 2 + 2 = 3 (False)
    • What is not a proposition:
      • What time is it (question)
      • Read this carefully (instruction)

    Logical Connectives

    • Negation (¬): The opposite of a statement.
    • Conjunction (∧): Combining statements with "and".
    • Disjunction (∨): Combining statements with "or".
    • Exclusive OR (⊕): Combining statements where only one is true, not both.
    • Conditional (→): Combining statements using "if-then".
    • Biconditional (↔): Combining statements with "if and only if".

    Conditional Statements

    • Hypothesis/Antecedent/Premise
    • Conclusion/Consequence
    • Converse: Switching the hypothesis and conclusion.
    • Inverse: Negating both hypothesis and conclusion in original statement.
    • Contrapositive: Switching the hypothesis and conclusion, and negating both, in original statement.
    • There are many ways to express conditional statements

    Truth Tables

    • Truth tables are used to show the truth or falsity of logical statements
    • Shows the truth values of a compound proposition

    Logical Equivalences

    • Equivalent expressions have the same truth values under all possible circumstance.
    • Rules/laws are used to show/prove logical equivalence

    Laws of Logic

    • Commutative laws
    • Associative laws
    • Distributive laws
    • Identity laws
    • Complement laws
    • De Morgan's Laws

    Predicates and Quantifiers

    • Predicates are statements that are either true or false.
    • Quantifiers are operators used to limit the variables of a predicate.
    • Universal Quantifier (∀): For all elements of a set.
    • Existential Quantifier (∃): There exists an element of a set.
    • Important definitions, examples, ways to negate statements

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