Introduction to machine learning, systems and control

Introduction to machine learning, systems and control

Course Modules

General

General
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General 64007  
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    Welcome Welcome
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    Corona adaptations Corona adaptations
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  • Quiz
    Introductory quiz Introductory quiz
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    Course format Course format
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    Course material Course material
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    Communication Communication
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    Personnel Personnel
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    Getting started! Getting started!
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    Lab equipment availability Lab equipment availability
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Control

Control
Prerequisites: General
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Control 64008  
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    Lab 0 - introduction to the lab Lab 0 - introduction to the lab
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    Lecture 1 - Dynamical system models Lecture 1 - Dynamical system models
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    Lecture 2 - System representations Lecture 2 - System representations
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    Lecture 3 - Stability, robustness, state feedback Lecture 3 - Stability, robustness, state feedback
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    Lecture 4 - Internship match making Lecture 4 - Internship match making
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    Lecture 5 - Career & equality workshop Lecture 5 - Career & equality workshop
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Engineering Ethics

Engineering Ethics
Prerequisites: General
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Engineering Ethics 64009  
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    Engineering ethics lecture (mandatory) Engineering ethics lecture (mandatory)
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  • Assignment
    Ethics case report and peer review (mandatory) Ethics case report and peer review (mandatory)
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    Ethics seminar (mandatory) Ethics seminar (mandatory)
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Mathematics

Mathematics
Prerequisites: General
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Mathematics 64010  
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    Part 1 - linear systems Part 1 - linear systems
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    Part 2 - Distributions, and more about the Fourier and Laplace transforms Part 2 - Distributions, and more about the Fourier and Laplace transforms
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    Exam (math) Exam (math)
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Statistics

Statistics
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Statistics 64011  
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    Part 1 - Stochastic processes Part 1 - Stochastic processes
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    Part 2 - Spectral representations and filtering Part 2 - Spectral representations and filtering
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    Part 3 - Review of computer exercise and modelling Part 3 - Review of computer exercise and modelling
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minimum score must view must submit must contribute