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The Science of Gastronomy
Sustainable Tourism: Society & Environmental Aspects
Introduction to Programming with MATLAB
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Learn Math Fundamentals, earn certificates with free online courses from MIT, University of Pennsylvania, Johns Hopkins, UC Irvine and other top universities around the world. Read reviews to decide if a class is right for you.
Immerse yourself in this calculus topic and master Improper Integrals in just 1 week!
Immerse yourself in this calculus topic and master Infinite Series in just 6 weeks!
Master essential calculus concepts - functions, limits, derivatives, and integrals - with practical applications in machine learning optimization and real-world problem-solving.
Explore calculus through sequences, numerical methods, series, and Taylor expansions. Gain conceptual understanding and practical applications in engineering and sciences.
Comprehensive introduction to calculus at Oxford, covering differential equations, integration techniques, and problem-solving methods for first-year mathematics students.
Explore calculus through real-world data analysis and modeling. Learn to interpret and communicate results using scientific computing, covering topics from functions to differential equations and optimization.
Develop mathematical modeling skills through functions and data analysis, preparing for scientific careers and advanced math courses. Applicable across various disciplines for real-world problem-solving.
Explore the geometry of complex numbers through interactive demonstrations, Python examples, and practical applications in image rotation and angle addition, with engaging visuals and explanations.
Master fundamental physics and math concepts through practical problem-solving techniques covering projectile motion, geometry, thermodynamics, statistics, and quantum basics.
Master fundamental arithmetic operations, calculator usage, and number concepts through hands-on practice with integers, fractions, rounding, and graphing techniques.
Explore relations and functions, building foundational math skills for modeling and data analysis. Covers linear, quadratic, exponential, and logarithmic functions with real-world applications and exercises.
Explore calculus fundamentals for machine learning, including derivatives, optimization, gradients, and Newton's method. Apply concepts using Python in hands-on exercises for practical ML skills.
Explore limits and derivatives in calculus through data modeling, learning to analyze rates of change and apply mathematical concepts to real-world scenarios.
Explore differentiation rules for various functions, including polynomials, trigonometric, and multivariable. Learn to calculate rates of change and apply these concepts to real-world problems.
Develop integral calculus skills through data analysis, scientific computing, and mathematical modeling. Apply techniques to real-world problems in natural and social sciences.
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