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'''Sample textbooks''': | '''Sample textbooks''': | ||
− | [1] Gordon Pace, ''Mathematics of Discrete Structures | + | [1] Gordon Pace, ''Mathematics of Discrete Structures foe Computer Science'', Springer, 2012 |
[2] Vladlen Koltun, ''Discrete Structures Lecture Notes, Stanford University'', 2008. Freely available [https://web.stanford.edu/class/cs103x/cs103x-notes.pdf here.] | [2] Vladlen Koltun, ''Discrete Structures Lecture Notes, Stanford University'', 2008. Freely available [https://web.stanford.edu/class/cs103x/cs103x-notes.pdf here.] |
Revision as of 16:55, 24 March 2023
Introduction to the mathematics of discrete structures with emphasis on structures for computer science.
Catalog entry
Prerequisite: Algebra and Number Systems (MAT 1313), or Discrete Mathematical Structures (CS 2233/2231), or instructor consent.
Contents: (1) Propositional logic: Axioms and Rules of Inference. Limitations of propositional logic: Informal introduction to quantifiers and syllogisms. (2) Predicate Logic: Existential and universal quantification, free variables and substitutions. Discussion of the various axiomatic systems for first-order logic (including axioms and rules of inference). The power and the limitations of axiomatic systems for logic: Informal discussion of the completeness and incompleteness theorems. (3) Sets and boolean algebras: Operations on sets. Correspondence between finitary set operations and propositional logic. Correspondence between infinitary operations and quantifiers. The power and limitations of the language of set theory: Informal discussion of the set-theoretic paradoxes and the need for axiomatic systems for set theory. (4) Relations: Special relations: Equivalence relations, partially ordered sets, maximum/minimum, maximal/minimal elements, least upper bounds and greatest lower bounds, totally ordered sets. (5) Functions: Operations of functions, direct image and inverse image. (6) Well-ordered sets: Correspondence between well-ordering relations and induction. Correspondence between well-ordering relations and choice functions. (7) Introduction to computability. Classical models of computation (recursive functions, and Turing models). Limitations of computation (the Halting Problem, fast-growing functions). Contemporary models of computation.
Sample textbooks:
[1] Gordon Pace, Mathematics of Discrete Structures foe Computer Science, Springer, 2012
[2] Vladlen Koltun, Discrete Structures Lecture Notes, Stanford University, 2008. Freely available here.
Topics List
Week | Topic | Sections from Pace's book | Sections from Pace's book | Prerequisites. | |
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1 | Propositional logic | 2.1-2.4 |
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MAT1313 or CS2233/2231, or equivalent. | |
2 | Completeness and soundness | 2.5 |
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5-6 | Predicate calculus | 3.1-3.5 |
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7 | Sets and boolean algebras | 4.1-4.5 |
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8 | Sets and boolean algebras | 4.6 |
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9 | Relations | 5.1-5.7 |
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10 | Classifying Relations | 6.1-6.3 |
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11-12 | Discrete structures | 7.1-8.4 |
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13-14 | Reasoning about programs | 10.1-10.4 |
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