Glossary
a | b | c | d | e | f | g | h | i | l | m | n | p | q | r | s | t | u | v | w
a
applications of number representations {Learning outcome}
applying proof strategy {Learning outcome}
b
binary relations properties {Learning outcome}
bioinformatics {Application}
c
circuits {Learning outcome}
classify cardinality {Learning outcome}
cnf and dnf {Learning outcome}
codes and information {Application}
compound propositions and truth tables {Learning outcome}
computers {Application}
congruence mod n {Learning outcome}
consistency {Learning outcome}
contradiction proofs {Learning outcome}
d
data types {Learning outcome}
functions prereqs {Definition}{Week(s) included: Week1 Week 1 Friday: Defining functions  }
set prereqs {Definition}{Week(s) included: Week1 Week 1 Wednesday: Defining sets  }
div and mod {Learning outcome}
divisibility and primes {Learning outcome}
e
evaluating compound propositions {Learning outcome}
evidence for quantified statements {Learning outcome}
f
function and relation definitions {Learning outcome}
function properties {Learning outcome}
functions for cardinality {Learning outcome}
g
graph representations of relations {Learning outcome}
h
i
identifying proof strategy in proof {Learning outcome}
important sets {Learning outcome}
induction flavors {Learning outcome}
l
linked lists {Learning outcome}
logical equivalence via laws {Learning outcome}
logical equivalence via truth tables {Learning outcome}
logical structure to proof strategy {Learning outcome}
m
mathematical induction proofs {Learning outcome}
modeling clusters {Learning outcome}
n
numbers {Application}
p
proof signposts {Learning outcome}
q
quantified statement proofs {Learning outcome}
quiz color rgb {Definition}{Week(s) included: Week1 Week 1 Friday: Defining functions  }
quiz color rgb data types {Definition}{Week(s) included: Week1 Week 1 Friday: Defining functions  }
quiz recursive {Definition}{Week(s) included: Week1 Week 1 Friday: Defining functions  }
r
recommendation systems {Application}
recursive definitions {Learning outcome}
recursive sets {Definition}{Week(s) included: Week1 Week 1 Wednesday: Defining sets  }
representing numbers {Learning outcome}
s
special binary relations {Learning outcome}
strong induction proofs {Learning outcome}
structural induction proofs {Learning outcome}
t
tautologies and contradictions {Learning outcome}
trace algorithms {Learning outcome}
translating {Learning outcome}
truth table definitions {Learning outcome}
u
universal generalization {Learning outcome}
using proofs to evaluate {Learning outcome}
v
variants of conditionals {Learning outcome}
w
write set definition {Learning outcome}