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

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=== CMS course requirements === __NOTOC__
 
=== CMS course requirements === __NOTOC__
  
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* Core requirements: 7 common courses taken by all CMS students (first year)
 
* Core requirements: 7 common courses taken by all CMS students (first year)
 
* Depth requirement: 3 courses in a given area (e.g., Feedback & control, Inference & statistics, Information systems, Networked systems, Optimization, Uncertainty quantification)
 
* Depth requirement: 3 courses in a given area (e.g., Feedback & control, Inference & statistics, Information systems, Networked systems, Optimization, Uncertainty quantification)
 
* Breadth requirement: 3 courses from mathematics, science, engineering, or economics
 
* Breadth requirement: 3 courses from mathematics, science, engineering, or economics
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* ACM 104. Linear algebra and applied operator theory
 
* ACM 104. Linear algebra and applied operator theory
 
* ACM/EE 116. Introduction to stochastic processes and modeling
 
* ACM/EE 116. Introduction to stochastic processes and modeling
* ACM 113. Mathematical optimization network
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* ACM 113. Mathematical optimization
 
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* CS/EE 144. Networks: Structure and economics
 
* CS/EE 144. Networks: Structure and economics
* ACM/EE 218. Statistical inference and learning signal
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* ACM/EE 218. Statistical inference and learning
 
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* ACM 126. Mathematical signal processing
 
* ACM 126. Mathematical signal processing
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=== Additional CMS courses ===
+
=== CDS course requirements ===
 +
* Core: CDS 201 (ACM 104), ACM 113, ACM/EE 116, CDS 140a, CDS 110b, CDS 212
 +
* Depth: 3 additional courses in CDS
 +
* Breadth: 3 additional courses in science or engineering
  
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| width=10% | '''Track'''
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| width=10% | Track
| width=30% | '''Fall'''
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| width=30% | Fall
| width=30% | '''Winter'''
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| width=30% | Winter
|width=30% | '''Spring'''
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| width = 30% | Spring
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| Core
 
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===== Mathematics =====
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* ACM 104. Linear algebra and applied operator theory
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* ACM/EE 116. Introduction to stochastic processes and modeling
<u>'''CDS 201'''</u> - Linear Algebra & Applied Operator Theory
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* ACM 113. Mathematical optimization
* Jointly offered with ACM 104/AM 125a
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* Vector spaces, including Banach and Hilbert spaces
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* Linear operators, dual spaces, decompositions
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* ~35 students, multiple options
+
<br>
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'''ACM 113''' - Introduction to Optimization
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* Convex analysis
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* Linear programming/duality
+
 
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* CDS 110b - Control system design
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* CDS 140a - Dynamical systems
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* CDS 212 - Feedback control theory
 
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| Advanced
 
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===== [[Stochastic systems courses|Stochastic systems]] =====
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'''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
 
 
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'''Markov Chains, Discrete Stochastic Processes and Applications'''
 
* ACM 216 (Owhadi, Tropp)
 
 
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|
'''Stochastic Inference'''
+
* CDS 140b - Dynamical systems (alt years)
* ACM 218 (Chandrasekaran)
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* CDS 150 - Stochastic system analysis
* CDS 150 (Beck)
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* CDS 213 - Robust control theory
 +
* CDS 270 - Advanced topics (nonlinear/adaptive, system ID, flight control)
 
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| Service
 
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===== Dynamical Systems =====
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* CDS 101 - Feedback systems (co-taught with CDS 101)
| '''CDS 140a''' -  
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* CDS 110a - Analysis and design of feedback systems
 
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===== Robust Control =====
 
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'''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
 
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''' Algorithmic Game Theory'''
 
* CS/Ec 241
 
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Revision as of 17:34, 11 April 2014

CMS course requirements

  • Core requirements: 7 common courses taken by all CMS students (first year)
  • Depth requirement: 3 courses in a given area (e.g., Feedback & control, Inference & statistics, Information systems, Networked systems, Optimization, Uncertainty quantification)
  • Breadth requirement: 3 courses from mathematics, science, engineering, or economics
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
  • CS/EE 144. Networks: Structure and economics
  • ACM/EE 218. Statistical inference and learning
  • ACM 126. Mathematical signal processing
  • CS 139. Theory of algorithms
Feedback and control
  • CDS 110a - Analysis and design of feedback systems
  • CDS 110b - Control system design
  • 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)

CDS course requirements

  • Core: CDS 201 (ACM 104), ACM 113, ACM/EE 116, CDS 140a, CDS 110b, CDS 212
  • Depth: 3 additional courses in CDS
  • Breadth: 3 additional courses in science or engineering
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
  • CDS 110b - Control system design
  • CDS 140a - Dynamical systems
  • CDS 212 - Feedback control theory
Advanced
  • CDS 140b - Dynamical systems (alt years)
  • CDS 150 - Stochastic system analysis
  • CDS 213 - Robust control theory
  • CDS 270 - Advanced topics (nonlinear/adaptive, system ID, flight control)
Service
  • CDS 101 - Feedback systems (co-taught with CDS 101)
  • CDS 110a - Analysis and design of feedback systems