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The language used throughout the course, in both instruction and assessments.
85 results for "optical engineering"
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Mathematics, Mathematical Theory & Analysis
Arizona State University
Skills you'll gain: Problem Solving
University of Colorado Boulder
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Algorithms, Spatial Analysis
- Status: Free
Coursera Instructor Network
Google Cloud
Skills you'll gain: Business Analysis, Business Development, C++ Programming, Communication, Critical Thinking, Data Analysis, Decision Making, Microsoft Excel, Planning, Strategy
- Status: Free
Georgia Institute of Technology
Skills you'll gain: Design and Product
University of Washington
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Data Analysis, Machine Learning Software, Statistical Machine Learning, Python Programming, Computer Programming, Exploratory Data Analysis, Regression
University of Colorado Boulder
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, Probability Distribution, General Statistics, Graph Theory, Bayesian Statistics, Correlation And Dependence, Markov Model, Network Model, Mathematics
University of Colorado Boulder
Skills you'll gain: Operating Systems, Theoretical Computer Science, Computer Programming, Systems Design
- Status: Free
In summary, here are 10 of our most popular optical engineering courses
- Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
- Rapid Prototyping Using 3D Printing:Â Arizona State University
- Kinematics: Describing the Motions of Spacecraft:Â University of Colorado Boulder
- Demystifying EV Batteries: Tech & Management:Â Coursera Instructor Network
- Feature Engineering en Français: Google Cloud
- Introduction to High-Throughput Materials Development:Â Georgia Institute of Technology
- Generative Design for Industrial Applications:Â Autodesk
- Machine Learning Foundations: A Case Study Approach:Â University of Washington
- Input Filter Design:Â University of Colorado Boulder
- Probabilistic Graphical Models 1: Representation:Â Stanford University