Master discrete mathematics fundamentals essential for computer science with hands-on puzzles and Python programming. Perfect for aspiring IT professionals.
Master discrete mathematics fundamentals essential for computer science with hands-on puzzles and Python programming. Perfect for aspiring IT professionals.
This comprehensive specialization introduces discrete mathematics through an innovative, interactive approach. Students learn through solving carefully designed puzzles before diving into theoretical explanations, making complex concepts more accessible and engaging. The program covers essential topics including mathematical thinking, combinatorics, probability, graph theory, and number theory, all crucial for computer science applications. With a focus on practical implementation, students work on real-world problems like the traveling salesman problem, developing both theoretical understanding and practical programming skills. The course combines mathematical rigor with hands-on Python programming, making it ideal for those pursuing careers in data science, machine learning, or software engineering.
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English
বাংলা, پښتو, اردو, 3 more
What you'll learn
Develop strong mathematical thinking and proof techniques. Master combinatorics and probability fundamentals. Understand graph theory and its applications. Learn number theory and cryptography basics. Implement efficient algorithms for real-world problems. Apply discrete mathematics to computer science challenges. Gain practical Python programming experience.
Skills you'll gain
This course includes:
113 Hours PreRecorded video
Programming assignments, interactive puzzles, quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 courses in this program
Análisis de datos para la toma de decisiones empresariales
Course 1 · 2 Months to complete · 2 modules
Certified Forecaster and Demand Planner (CFDP)
Course 2 · 3 Months to complete · 4 modules
Program Management: Enabling Value Driven Change
Course 3 · 4 Months to complete · 4 modules
Securing the IoT Landscape: From Inception to Architecture
Course 4 · 10 Hours to complete · 3 modules
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