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LinkedIn Learning

Programming Foundations: Discrete Mathematics

via LinkedIn Learning

Overview

Learn how to use discrete mathematics to become a better programmer. Explore the role of math in programming, how to use discrete math to analyze data test logic, and more.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Using the exercise files
1. Discrete Math Uses
  • Basics of discrete mathematics
  • Discrete math for programming
  • Real-world discrete math
  • Abstract discrete math
2. Sets
  • Objects as sets
  • Set notation
  • Set operations
  • Power sets
  • Sequences and sums
  • Recursion
  • Cardinality, disjointness, and partitions
  • Sets from Cartesian products
  • Challenge: Practice with sets
  • Solution: Practice with sets
3. Setting Up SML
  • Functional programming
  • Datatypes
  • Characters and strings
  • Recursive functions
  • Challenge: Learn SML
  • Solution: Create new data types
4. Analyzing Data Sequences
  • Use SML to create lists
  • Perform functions on lists
  • Create datatypes that use lists
  • Challenge: Model a lunch order
  • Solution: Model a lunch order
5. Effective Arguments and Defensible Decisions
  • Valid reasoning and inference
  • Truth tables
  • Identify and evaluate predicates
  • Conditional propositions
  • Valid arguments
  • Rules of inference
  • Prove logical equivalence
  • Challenge: Write truth tables
  • Solution: Write truth tables
6. Proofs Made Easy
  • Write a general outline for a proof
  • Write subset proofs
  • Evaluate conditional proofs
  • Understand biconditional proofs
  • Prove with mathematical induction
  • Challenge: Write a proof
  • Solution: Write a proof
7. Advanced Discrete Math Topics
  • Visualize data with graph theory
  • Network optimization with trees
  • Event probability
  • Cryptography
  • Challenge: Advanced techniques
  • Solution: Advanced techniques
Conclusion
  • Next steps

Taught by

Peggy Fisher

Reviews

4.4 rating at LinkedIn Learning based on 137 ratings

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