Central role of discrete mathematics in information technology and communications

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Mind Map on Central role of discrete mathematics in information technology and communications, created by monkey_prankss on 20/03/2014.
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Mind Map by monkey_prankss, updated more than 1 year ago
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Resource summary

Central role of discrete mathematics in information technology and communications
  1. OBJECTIVE
    1. Familiarize students with main mathematical concepts
    2. Computer
      1. finite structure= finite mathematics
        1. Language of predicate logic
          1. Logic & computers
            1. studies notions, judments and reasoning as well as the laws of correct reasoning
              1. formal language
                1. formulas
                2. Intended meaning
                  1. inferences
                  2. OBJETIVES
                    1. systematization of what we do daily
                    2. APLICATIONS
                      1. switching and logic networks, introduction to PROLOG , verification of correctness of computers programs
                    3. PREDICATE LOGIC
                      1. system of formal logic
                        1. connevtives AND, OR, NOT, IMPLIES, EQUIVALENT and QUANTIFIERS
                          1. associates a truth strcuture
                            1. predicates are statements about objects, their properties and relationship with other objects
                              1. only things can be arguments
                                1. predicates are terms
                        2. Fuzzy logic
                          1. generalizes the classical (two-valued) logic and includes many valued logic
                            1. make inferences from information that is imprecise, incomplete, uncertain or paryially true
                              1. imprecise knowledge
                                1. values of functions [ 0,1]
                                  1. indicates the degree of membership
                            2. theory of fuzzy subsets
                              1. generalization of the usual sets theory
                                1. contruction of membership
                                  1. reflects the context within the concrete problem is being studied
                              2. Random
                                1. results from incertitude
                                  1. shows the existence of varios degrees of belonging
                                2. allows implementing approximat reasoning
                                  1. general knowledge
                                  2. computationally simpler and faster than other
                                    1. philosophical view
                                      1. depends on the semantic interpretation of every fuzzy predicate
                                        1. capacity to model linguistic knowledge
                                      2. why do we need it ?
                                        1. Showing that a problem can be solved by a computer program
                                          1. translating problem description into a program language
                                            1. arguing that a computer is correct and efficient
                                              1. applying the new techniques of programming which require the mastery of different aspects of logic
                                            2. Computer organization
                                              1. Computer program viewed as a formula
                                                1. has
                                                  1. Formal syntax, proof rules
                                            3. Integrated circuits, transistors,resistors,capacitors, and other electronic components
                                              1. transistors act as amplifiers or switches
                                                1. switches are combined to form logic gates
                                                  1. bricks of implementation
                                                2. Boolean alegebra
                                                3. IMPORTANCE
                                                  1. Knowledge management,software engineering, programing languages/ data structures, hardware topics
                                                  2. GRAPHS & TREES
                                                    1. Neural nets
                                                      1. Interconnected assemblies of simple processing elements
                                                        1. vertices: placed on ordered layers
                                                          1. arrows: only between a vertex on layer l and a vertex on layer l+1, has weught (+ or -)
                                                      2. Semantic nets
                                                        1. vertices: represent objects
                                                          1. arrows: relationships between objects
                                                        2. Bayesian
                                                          1. acylic graphs
                                                            1. vertex: represent a random variable
                                                              1. arrow: conditional dependence
                                                          2. Minimum spanning trees
                                                            1. sub-graphs of weighted and connected graph
                                                              1. contain all vertices
                                                            2. Binary trees
                                                              1. mathematical & logical expressions
                                                                1. possibly involving parentheses
                                                                  1. vertices : represent operators
                                                                    1. leaves: represent values
                                                            3. References
                                                              1. Gersting,J., Mathematical Structures for Computer Science, Freeman& Cie,2003
                                                                1. Hein,J.L., Discrete Mathematucs, Jones and Bartlett Publishers, 1996.
                                                                  1. Rosen,H.K,Discrete Mathematics,McGraw-Hill,2003
                                                                    1. Reghis,M.Roventa.E,Clasical and Fuzzy Concepsts in Mathematical Logic and Applications, CRCPress 1998
                                                                      1. Zadeh,L.A.,Probability Theory and Fuzzy Logic are Complementary rather than Competitive, Technometrics,August 1995, Vol.37,No.3
                                                                        1. Zadeh,L.A.,Toward a Generalized Theory of Uncertainty(GTU)-An Outline,Information Sciences,Elsevier,Vol.172,pp.1-40,2005
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