edX
MOOC / Non-credit
0
Mathematical Optimization for Engineers
About this course
Learn the mathematical and computational basics for applying optimization successfully. Master the different formulations and the important concepts behind their solution methods. Learn to implement and solve optimization problems in Python through the practical exercises.
B
74/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand mathematical formulations of optimization problems
- implement optimization algorithms in Python
- apply solution methods to real-world optimization challenges
Course objectives
- master the basics of mathematical optimization
- develop computational skills for solving optimization problems
Machine Learning
#python
#problem solving
#data analysis
#optimization
#computational methods
#mathematics
#algorithm design
$119.00
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