Difference between revisions of "CDS course discussion, Apr 2014"

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* ACM 126. Mathematical signal processing
 
* ACM 126. Mathematical signal processing
 
* CS 139. Theory of algorithms
 
* CS 139. Theory of algorithms
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| Feedback and control
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* CDS 140a - Dynamical systems
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* CDS 212 - Feedback control theory
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* CDS 140b - Dynamical systems (alt years)
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* CDS 213 - Robust control
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* CDS 270 - Advanced topics (nonlinear, adaptive, system ID)
 
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Revision as of 17:17, 11 April 2014


CMS course requirements

Track Fall Winter Spring
Core
  • ACM 104. Linear algebra and applied operator theory
  • ACM/EE 116. Introduction to stochastic processes and modeling
  • ACM 113. Mathematical optimization network
  • CS/EE 144. Networks: Structure and economics
  • ACM/EE 218. Statistical inference and learning signal
  • ACM 126. Mathematical signal processing
  • CS 139. Theory of algorithms
Feedback and control
  • CDS 140a - Dynamical systems
  • CDS 212 - Feedback control theory
  • CDS 140b - Dynamical systems (alt years)
  • CDS 213 - Robust control
  • CDS 270 - Advanced topics (nonlinear, adaptive, system ID)

Additional CMS courses

Track Fall Winter Spring
Mathematics

CDS 201 - Linear Algebra & Applied Operator Theory

  • Jointly offered with ACM 104/AM 125a
  • Vector spaces, including Banach and Hilbert spaces
  • Linear operators, dual spaces, decompositions
  • ~35 students, multiple options


ACM 113 - Introduction to Optimization

  • Convex analysis
  • Linear programming/duality
Stochastic systems

Introduction to Stochastic Processes and Modeling

  • ACM/EE 116 (Hassibi, Owhadi, Tropp)
  • Probability spaces, conditional probability, random processes
  • ~100 students/year from across the Institute

Markov Chains, Discrete Stochastic Processes and Applications

  • ACM 216 (Owhadi, Tropp)

Stochastic Inference

  • ACM 218 (Chandrasekaran)
  • CDS 150 (Beck)
Dynamical Systems
CDS 140a -
Robust Control

Modern Control Theory

  • CDS 212 (Doyle, Low, Murray)
  • Dynamics and stability in discrete and continuous time
  • Uncertainty and robustness
  • Fundamental limits: Bode, Shannon, Bode/Shannon

Algorithmic Game Theory

  • CS/Ec 241