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Learn Dynamic Programming online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
42 courses
Learn how to use Dynamic Programming with Java in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming interview questions about data structures and algorithms. This course was developed by Alvin Zablan from Structy. Structy is a web…
Alison
Swift is an interactive and dynamic programming language developed by Apple to create apps for iOS, macOS, watchOS and other products. It is now the language of choice for developers to create tools and apps for Apple products. Learning Swift instils a competitive advantage in the application devel…
MIT OpenCourseWare
This course focuses on dynamic optimization methods, both in discrete and in continuous time. We approach these problems from a dynamic programming and optimal control perspective. We also study the dynamic systems that come from the solutions to these problems. The course will illustrate how these…
MIT OpenCourseWare
This course is a survey of modern macroeconomics at a fairly advanced level. Topics include neoclassical and new& growth theory, consumption and saving behavior, investment, and unemployment. It also includes use of the dynamic programming techniques. Assignments include problem sets and written di…
MIT OpenCourseWare
This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variati…
MIT OpenCourseWare
The unifying theme of this course is best captured by the title of our main reference book: “Recursive Methods in Economic Dynamics”. We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic syst…
MIT OpenCourseWare
Introduction to the theories of economic growth. Topics will include basic facts of economic growth and long-run economic development; brief overview of optimal control theory and dynamic programming; basic neoclassical growth model under a variety of market structures; human capital and economic g…
MIT OpenCourseWare
This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course exami…
The Knapsack Problem is a classic optimization problem in computer science. It's often used to help teach dynamic programming and greedy algorithms. This is an important problem to understand, especially if you plan on interviewing soon for a programming job. In this course, Gavin Lon will explain…
In this Introduction to Algorithms in Python course, you'll learn about algorithm basics like recursion and then go all the way to working with concepts like dynamic programming. The 5 main course segments include simple recursive algorithms, data structures, divide & conquer, greedy algorithms, an…
Build an intuitive mental model of core data structures and algorithms using relatable, real-world analogies. Topics range from arrays and hash maps to trees, graphs, and dynamic programming. Once you grasp the underlying logic and problem-solving mechanics covered here, implementing them in any pr…
Master the art of Dynamic Programming by learning to break complex challenges into simple, reusable sub-problems. This course features step-by-step animations that bring abstract logic to life, showing you exactly how data flows through tables and recursion trees in real-time. Develop a powerful vi…
Birla Institute of Technology & Science, Pilani
Dive into the world of algorithm design, a fundamental aspect of computer science. This course provides a comprehensive understanding of various algorithmic design paradigms such as divide and conquer, greedy methods, dynamic programming, backtracking, and branch and bound. You will explore fundame…
University of Colorado Boulder
Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing. This course will teach the fundamentals of data structures and algorithms with…
University of Cape Town
This course introduces you to Julia as a first programming language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data s…
University of Colorado Boulder
This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course introduces you to JavaScript, the dynamic programming languag…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master dynamic programming (DP) with this masterclass, where you will lea…
