
Learn to use universal, conditional, and existential statements in logic, with real numbers and set notation, illustrating for all and there exists ideas, including additive inverses.
Define sets, elements, and the empty set, and distinguish elements from subsets. Construct ordered pairs and cross products to represent relations on numbers.
Understand relations as subsets of A × B by rules such as x < y or x^2 + y^2 = 1, and see how functions map input to one output.
Explore the basics of logic, including and, or, not, truth tables, and exclusive or. Learn logical equivalence and laws like Morgan's, commutative, associative, distributive, and absorption to simplify expressions.
Explore practice problems with p, q, and r to build truth tables, apply and, or, not, xor, and Morgans law, and simplify logical expressions.
Explore conditional statements, logical rules, and truth tables, including if p then q, not, or, contrapositive, biconditional, and necessary and sufficient conditions, with practical examples.
Practice logical arguments using implications, Morgan's laws, and rules like Modus ponens and Modus tollens; distinguish valid versus sound arguments and common fallacies.
Learn how to test argument validity with truth tables, premises, and conclusions, using if p then q and contrapositive (modus tollens) to detect when true premises yield a false conclusion.
Study how digital logic circuits use series and parallel connections, gates like and, or, not, xor, nand, nor, and truth tables to analyze circuit behavior.
Dissect sets, subsets, and relations using roster notation and Cartesian products, with real-number and integer examples. Build skills in truth tables, logical equivalences, and De Morgan's laws through practice problems.
Define predicates and domains, and identify the truth set of p(x). Explore universal and existential quantifiers with examples like for all x and there exists x.
Explore negation of universal and existential statements, with examples such as primes, politicians, and programs. Explain contrapositive, converse, inverse, and the concept of necessary and sufficient conditions with multiple quantifiers.
Explore core proof techniques, including direct, constructive and non-constructive proofs, existence proofs, proofs by contradiction, and counterexamples, with definitions of even, odd, prime, and composite.
Explore parity by proving that the sum of two odd integers is even and that odd squares are odd. Apply definitions of even and odd to simple examples.
Rational numbers are ratios of integers, as 10/3 or -5/29 show. Sums and products of rationals remain rational, and divisibility, primes, and the fundamental theorem of arithmetic are explored.
Explore division concepts with remainder and mod, understand quotient and remainder, and apply case analysis to divisibility, parity, odd squares, and the triangle inequality.
Explore proof by contradiction and contrapositions, applying them to no greatest integer, impossibility of an integer being both even and odd, and the sum of a rational and irrational number.
Explore how indirect proofs use contradiction to prove sqrt(2) is irrational, show one plus three times sqrt(2) is irrational, and establish the infinitude of primes via Euclid-style arguments.
Master the Euclidean algorithm for gcd by repeatedly dividing and taking remainders, illustrated with examples; learn about the extended version and co-prime implications.
Practice analyzing logical statements with counterexamples and negation, exploring universal and existential claims, and identifying necessary and sufficient conditions and argument validity through concrete examples.
practice problems 2 trains you to analyze proofs and counterexamples in discrete structures, covering parity, divisibility, primes, and rationality through concrete examples and logical reasoning.
Solve practice problems on modular arithmetic, parity, and divisibility. Apply the least common number concept, remainder proofs, and the product of four consecutive integers divisible by eight.
Practice test with answers on discrete structures topics, covering sets, relations, logical forms, negation, implications, truth tables, and direct and contradiction proofs.
Explore sequences, summation and product notation, and telescoping series, with examples using index changes, factorials, and basic algebraic manipulations.
Explore sequences and summations through practical examples, convert complex sums to single summations, apply index changes, and derive factorial patterns with alternating signs and product forms.
Introduce induction, detailing base and inductive steps, with domino and coin examples to prove statements for all integers and derive the sum of the first n integers and geometric series.
Demonstrate induction through concrete examples, validating base cases and the inductive step. Derive formulas for sums, including even numbers and squares, via the induction hypothesis.
This lecture introduces a stronger induction, proving 2^{2k} - 1 is divisible by 3 via base cases and an inductive step, and proves 2^{U_n+1} < 2^n for n ≥ 3.
Practice induction with base cases and inductive steps. Verify five to the n minus one is divisible by four.
Learn strong induction, establishing a base case and proving P_{k+1} from P_i for all i up to k. See applications to primes and a recurrence that yields 5^n−1.
Explore how recursion builds each term from the previous ones using recurrence relations, illustrated with Catalan numbers and binomial coefficients. Examine Fibonacci recurrences and a simple growth model.
Explore solving recurrence relations by iteration, identifying arithmetic and geometric sequences, deriving formulas for sums and growth, and applying them to practical examples like consistent additions and compound growth.
Explore set theory fundamentals, including set notation, subsets and proper subsets, unions, intersections, differences, complements, power sets, Cartesian products, partitions, and paradox concepts.
Explore practice problems on recurrence relations and set theory, including proving Fibonacci-based recurrences, solving with characteristic equations, and applying set operations, unions, intersections, partitions, and power sets.
Review recurrence relations through induction proofs and deriving closed-form solutions. Apply base cases, inductive steps, and strong induction to multiple problems in discrete structures, data structures, and algorithms.
This course is a full course in understanding all the mathematics and structures required to successfully do computing. It is a course in discrete structures, data structures, and algorithms. That means that we go through logic and proofs alongside the structures such as trees and graphs. This is the basis for understanding algorithms, recursion and much more. This course aims to give a clear and cogent understanding of the major parts to discrete structures. Anyone interested in computers should be learning this material well.
Data structures requires the understanding of certain mathematical concepts that are built here. It is imperative to understand computing from first principles. As such, we build and analyze different data structures with our firm mathematical foundation.
This course also discusses an introduction to algorithms. It develops many ideas related to speed and efficiency in algorithms. It has many deep ideas and approaches to be an effective, algorithmic computerista.