Filter by
The language used throughout the course, in both instruction and assessments.
Results for "program+optimization"
University of Colorado Boulder
Skills you'll gain: Algorithms, Computer Programming
Duke University
Skills you'll gain: Python Programming, Computer Programming
Status: FreeNational Taiwan University
Skills you'll gain: Operations Research, Mathematical Theory & Analysis, Mathematics, Algorithms, Linear Algebra
Vanderbilt University
Skills you'll gain: Computer Programming, Other Programming Languages, Algorithms, Theoretical Computer Science, Matlab
Edureka
Skills you'll gain: Computer Programming, Web Development
Coursera Project Network
Skills you'll gain: Data Science, Deep Learning, Machine Learning, Python Programming, Regression
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Computer Programming, Programming Principles, Scala Programming, Theoretical Computer Science
Columbia University
Skills you'll gain: Finance, Leadership and Management, Investment Management, Probability & Statistics, Risk Management
University of California, Irvine
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Problem Solving, Theoretical Computer Science, Computer Programming, Mathematical Theory & Analysis, Mathematics, Data Structures, Computational Logic, Computational Thinking
Status: FreeThe University of Melbourne
Coursera Project Network
Skills you'll gain: Deep Learning, Machine Learning
In summary, here are 10 of our most popular program+optimization courses
- Approximation Algorithms and Linear Programming :Â University of Colorado Boulder
- Interacting with the System and Managing Memory:Â Duke University
- Operations Research (3): Theory:Â National Taiwan University
- Mastering Programming with MATLAB:Â Vanderbilt University
- Go Programming Language:Â Edureka
- Linear Regression with Python:Â Coursera Project Network
- Functional Program Design in Scala: École Polytechnique Fédérale de Lausanne
- Optimization Methods in Asset Management:Â Columbia University
- Supply Chain Optimization:Â University of California, Irvine
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them:Â Stanford University
