- Full Description
-
This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic and their use for representation and proof. Features: teaches finite math as a language for thinking, as much as knowledge and skills to be acquired; uses an intuitive approach with a focus on examples for all general concepts; brings out the interplay between the qualitative and the quantitative in all areas covered, particularly in the treatment of recursion and induction; balances carefully the abstract and concrete, principles and proofs, specific facts and general perspectives; includes highlight boxes that raise common queries and clear confusions; provides numerous exercises, with selected solutions.
- Table of Contents
-
Table of Contents
- Collecting Things Together: Sets.
- Comparing Things: Relations.
- Associating One Item with Another: Functions.
- Recycling Outputs as Inputs: Induction and Recursion.
- Counting Things: Combinatorics.
- Weighing the Odds: Probability.
- Squirrel Math: Trees.
- Yea and Nay: Propositional Logic.
- Something about Everything: Quantificational Logic.
- Just Supposing: Proof and Consequence.
- Errata
-
If you think that you've found an error in this book, please let us know about it. You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published
