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Discrete Mathematics

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Title: Discrete Mathematics


1
Discrete Mathematics
  • ???
  • School of Information Technology
  • Sungshin W. University
  • (Special Thanks to the original author of this
  • lecture notes, Prof. ???)

2
Text and References
  • Text
  • Discrete Mathematics and Its Applications, 6th
    Edition, Kenneth H. Rosen

3
Professor Info
  • ???
  • jwlee_at_sungshin.ac.kr
  • ??? 811?
  • ?? ? ??
  • ???? ??
  • E-mail? ??
  • Course Home
  • http//cs.sungshin.ac.kr/jwlee/dm2/dm.htm

4
Grading
  • Mid 35
  • Final Exam 35
  • Home Work 10
  • Handwriting word processor ?? ? ?.
  • ?? 20

5
What is Mathematics, really?
  • Its not just about numbers!
  • Mathematics is much more than that
  • But, the concepts can relate to numbers, symbols,
    visual patterns, or anything!

Mathematics is, most generally, the study of any
and all absolutely certain truths about any and
all perfectly well-defined concepts.
6
So, whats this class about?
  • What are discrete structures anyway?
  • Discrete (? discreet!) - Composed of
    distinct, seperable parts. (Opposite of
    continuous.) discretecontinuous
    digitalanalog
  • Structures - objects built up from simpler
    objects according to a definite pattern.
  • Discrete Mathematics - The study of discrete,
    mathematical objects and structures.

7
Discrete Structures Well Study
  • Propositions
  • Predicates
  • Sets
  • (Discrete) Functions
  • Orders of Growth
  • Algorithms
  • Integers
  • Proofs
  • Summations
  • Permutations
  • Combinations
  • Relations
  • Graphs
  • Trees
  • Boolean Algebra
  • Logic Circuits

8
Relationships Between Structures
  • ? Can be defined in terms of

Programs
Proofs
Groups
Trees
Operators
Propositions
Complex numbers
Graphs
Real numbers
Strings
Functions
Integers
Naturalnumbers
Matrices
Relations
Sequences
Infiniteordinals
Bits
n-tuples
Vectors
Sets
9
Why Study Discrete Math?
  • The basis of all of digital information
    processing Discrete manipulations of discrete
    structures represented in memory.
  • Its the basic language and conceptual foundation
    of all of computer science.
  • Discrete concepts are also widely used throughout
    math, science, engineering, economics, biology,
    etc.,
  • A generally useful tool for rational thought!

10
Uses for Discrete Math in Computer Science
  • Advanced algorithms data structures
  • Programming language compilers interpreters.
  • Computer networks
  • Operating systems
  • Computer architecture
  • Database management systems
  • Cryptography
  • Error correction codes
  • Graphics animation algorithms, game engines
  • Just about everything!

11
Course Outline (as per Rosen)
  1. Logic (1.1-1.4)
  2. Proof methods (1.5-1.7)
  3. Set theory (2.1-2.2)
  4. Functions (2.3)
  5. Sequences Summations (2.4)
  6. Algorithms (3.1)
  7. Orders of Growth Complexity (3.2-3.3)
  8. Number Theory (3.4-3.8)
  9. Recursion(4.1-4.4)
  1. Counting (5.1-5.3)
  2. Discrete Probability (6.1)
  3. Recurrence Relations (7.1, 7.3)
  4. Relations (8.1-8.6)
  5. Graph (Tree) Theory (9.1-9.5, 10.1-10.3)
  6. Boolean Algebra (11.1-11.4)

12
Symbol, Notation (??, ???)
  • 1
  • What is this ?
  • Think your name, symbol , seoul,
  • 22 ?
  • Seoul , Korea ?

13
Basics for studying Math. and Languages
  • Understanding the semantics of Symbols and
    Notations
  • 1, 2, 3, , 9, 0
  • Positional semantics 912 vs. 219
  • Both are consisting the same 3 symbols, but are
    different.
  • x, y (variables)
  • Each of them can have a value from a designated
    domain.
  • x y 10, true when x4, y6. false when x5,
    y6.
  • x y lt x y, true for positive integers x and
    y
  • I am a student. Iamastudent.
  • for (i1 ilt10 i) xx1

14
Some Notations Well Learn
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