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Mobile applications can be enhanced through dynamic optimization methods which can be either discrete or in continuous time. Using these methods can only be applied if you have an understanding on the perspectives of dynamic programming and optimal control.

Learning that there are methods that can improve the performance of applications will be emphasized in this [course_title]. You will understand the dynamic systems formulated to gain a command of the tools used for optimization.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT

Course Curriculum

L-1 Vector spaces 00:20:00
L-2 The principle of optimality 00:20:00
L-3 Concavity and differentiability of the value function 00:15:00
L-4 Euler equations 00:10:00
L-5 Deterministic dynamics 00:20:00
L-6 Models with constant returns to scale 00:20:00
L-7 Nonstationary models 00:15:00
L-8 Stochastic dynamic programming 00:15:00
L-9 Stochastic Euler equations 00:20:00
L-10 Discounted infinite-horizon optimal control 00:25:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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