Teaching & AcademicsAdded 2 hours ago

Master Discrete Math—From University to Silicon Valley

Master Discrete Math—Set Theory, Relations, Functions and Mathematical Induction through lectures, examples and quizzes.

5.0 / 5.0
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6h 51m 7s
On-demand
English
Audio
High School to Silicon Valley Math Academy
Instructor
Master Discrete Math—From University to Silicon Valley100% OFF
  • 6h 51m 7s on-demand video
  • Certificate of Completion
  • Mobile, TV & Desktop Access
  • Full Lifetime Access

What you'll learn

Master Discrete Math through lectures, worked examples and quizzes designed to take you from university to Silicon Valley.
Learn Set Theory covering set notations, set cardinality, all set types, subsets, set operations, cross products, and problem-solving through venn diagrams.
Master Relations covering relation representation, domain, range, mappings, all relation types, and reflexive, symmetric, transitive and equivalence relations.
Learn Functions covering function basics, domain, codomain, range, injective (one-to-one), surjective (onto), bijective, even, odd, composites, and inverses.
Master Mathematical Induction covering induction principle, algebraic, progression, inequality, divisibility, geometric, program correctness proofs and puzzles.
Check out complete course description for more info

Course Description

Why are CEOs like Elon Musk and Jensen Huang telling students to master mathematics instead of just memorizing programming code?

Because AI can write syntax, but it cannot master first-principles algorithmic thinking.

Discrete mathematics is the actual language of computer science. It is the hidden engine behind every clean data structure, every efficient algorithm, and every advanced machine learning model.

Discrete Math is the study of distinct, individual mathematical structures rather than continuously changing quantities. If you want to understand how computers actually work, you must understand discrete math. It is not hard because of the concepts; it is hard because of how it is traditionally taught. This course bridges that gap. We break down the absolute essentials of discrete mathematics so that you can conquer university exams and technical interviews with total confidence, clarity, and zero stress.

Whether you are an academic math student trying to top your class, or a computer science student building the mathematical maturity needed for elite tech roles, this course delivers exactly what you need.

Why Learn From This Course?

There are thousands of math classes taught by traditional academics who have never written production code or worked in the tech industry. This course is engineered differently. As a full-time Math Educator with a background in IIT and engineering experiencein a Silicon Valley technology company, I have designed this course to make Discrete Mathematics clear, structured, and approachable for students.

I do not cut corners. Every lesson features clear visual demonstrations, detailed step-by-step worked examples, and targeted quizzes designed to build genuine structural intuition and long-term problem-solving skills.

The Teaching Philosophy Behind This Course

This curriculum isn't built on academic theories; it is engineered for clarity. Having guided students globally—from university freshmen to self-taught programmers—my methodology focuses strictly on breaking down intimidation.

  • No Corner-Cutting: Every proof and concept is demonstrated step-by-step from beginning to end so you never wonder how an answer was derived.

  • Conceptual Architecture: We do not focus on mindless memorization. We explore the structural why behind every concept of sets, relations, functions, and inductive step.

What You Will Master In This Course:

1. Set Theory Fundamentals

  • Set Basics & Representation: Understand structural definitions and convert between Roster and Set Builder notations.

  • Cardinality & Classifications: Determine set size |S| and master finite, infinite, empty (∅), singleton, equal, equivalent, disjoint, and overlapping sets.

  • Subsets & Advanced Structures: Analyze subsets (⊆), proper subsets (⊂), supersets (⊇), power sets (P(A)), and universal sets (U).

  • Operations & Cartesian Products: Master union (A∪B), intersection (A∩), set difference (A-B), complements (A'), and cross products (A × B).

  • Venn Diagram Problem Solving: Represent mathematical operations and solve complex logical and word problems visually using Venn diagrams.

2. Relations

  • Relation Mechanics: Master foundational definitions, coordinate pairings, and structural representations.

  • Domain & Range Elements: Identify and extract the exact domain and range boundaries of any relation.

  • Types of Relations: Distinguish between empty, universal, identity, and inverse relations cleanly.

  • Structural Properties: Analyze and prove reflexive, symmetric, transitive, and equivalence relations.

3. Functions

  • Function Criteria: Comprehend core definitions and evaluate whether a given relation qualifies mathematically as a function.

  • Domain, Codomain & Range: Calculate and differentiate between the sets of inputs, potential outputs, and actual outputs.

  • Injective, Surjective & Bijective Classifications: Master how elements map to one another through one-to-one, onto, and bijective correspondences.

  • Even, Odd & Composite Behavior: Test functional behaviors and accurately evaluate nested functions (compositions).

  • Inverse Functions: Master finding inverse functions, and the domain and range of inverse functions.

4. Mathematical Induction & Proofs

  • The Inductive Principle: Master the formal step-by-step core mechanics of mathematical induction.

  • Progressions & Series: Prove the sum of squares, Arithmetic Progressions (AP), and Geometric Progressions (GP) using clean inductive logic.

  • Algebraic Rules: Apply induction to prove geometric results, algebraic inequalities, and structural divisibility.

  • Logic Puzzles & Brain-Teasers: Solve real-world brain-teasers and master the iconic Towers of Hanoi puzzle.

  • Computer Science Application: Apply induction directly to prove computer science program correctness.

Who This Course Is For:

  • Academic Math Students: Looking to master set theory, relations, functions, and mathematical induction with clear, step-by-step exam preparation guidance.

  • Aspiring AI, Data Science & CS Students: Looking to build the exact mathematical maturity needed to read advanced research papers and confidently comprehend complex algorithmic structures.

  • Software Engineers & Programmers: Looking to transition from simply writing basic syntax to mastering the deep mathematical logic that drives elite system design.

  • Self-Taught Developers & Tech Professionals: Who skipped a formal university degree and want to rapidly fill the critical gap in their computer science math foundations.

The Shortest Path to Academic & Engineering Success

Let’s be honest: you don't have hours to waste staring at confusing math textbooks or memorizing formulas you will forget the day after the exam. You want high grades, clear understanding, and a strong mathematical foundation that prepares you for success in mathematics, computer science, engineering, and beyond.

With Udemy's 30-day money-back guarantee, you have everything to gain and absolutely nothing to lose. Click "Buy Now" to skip the academic struggle, unlock the Silicon Valley mindset, and master your discrete math foundations today!

Who this course is for:

  • Math Students looking to master discrete math - set theory, relations, functions & mathematical induction with clear, step-by-step guidance.
  • Aspiring AI, Data Science & Computer Science Students want to build the mathematical maturity needed to read research papers and comprehend advanced algorithmic logic.
  • Software Engineers & Computer Programmers looking to transition from simply "writing syntax" to mastering the deep mathematical logic that drives system design.
  • Tech Professionals & Self-Taught Developers who skipped a formal university degree and want to fill the critical gap in their computer science math foundations.
  • Anyone returning to mathematics after a break and looking for a structured, step-by-step learning experience.

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