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Discrete Mathematical Tools for Computer Science
Coursera
Specialization
Unknown

Discrete Mathematical Tools for Computer Science

The Hong Kong University of Science and Technology

This specialization develops core discrete math tools in computer science, focusing on logic, counting, algorithms, recursion, and probability to enhance problem-solving and algorithm analysis.

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About this Course

This specialization builds the core discrete mathematics toolkit used throughout computer science, with a focus on logic, counting, algorithms, recursion, and probability. Learners develop rigorous problem-solving and reasoning skills that are essential for algorithm analysis, data structures, cryptography, and theoretical foundations of computing. Through practical examples and proofs, the courses emphasize how discrete mathematical concepts directly support efficient and correct algorithm design

What You'll Learn

  • Apply discrete math to analyze algorithms and solve computer science problems
  • Develop rigorous problem-solving and reasoning skills
  • Use logical reasoning in algorithm and data structure analysis
  • Understand theoretical computing foundations including cryptography

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short practice activities

Instructors

K

Kenneth Wai-Ting Leung

Associate Professor of Engineering Education

Topics

Software Development
Computer Science
Math and Logic
Algorithms
Arithmetic
Bayesian Statistics
Combinatorics
Computational Logic
Computational Thinking
Cryptography

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
الرياضيات والمنطق
الخوارزميات
الحساب
الإحصاء البايزي
التركيبات الرياضية
المنطق الحاسوبي
Computational Thinking
Cryptography

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