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"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, and provides numerous exercises, with selected solutions."

"A traditional Introduction to Digital Logic course can cover all of Chaps. 1, 2, 3,and 4, selections from Chap. 5, and then all of Chaps. 6, 7, 8, 11, 12, 13, 14, and 17,and maybe selections from Chap. 19. I happen to think Chaps. 15 and 18 are of vitalimportance, and the case study presented in Chap. 20 really ties the whole booktogether, but they are not included in every intro course. What this book adds thatothers in the field leave out, through Chaps. 9, 10, and 16, is more depth forapplications in the computing domain. They can be incorporated in an intro coursegeared towards computer engineers or computer scientists, and I have used thismaterial myself, but they can also benefit these students simply by being in the textas breadth and a good reference for later use even if not directly included in thecourse."

"This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications, current trends in computing, decision-theoretic rough set model and applications, formal concept analysis and granular computing, mining complex data with granular computing, and data mining competition."