MIT Subject Listing & Schedule
IAP / Spring 2018 Search Results

Searched for: "6.01"    Subjects offered any term

1 subject found.

6.01 Introduction to EECS via Robotics

(, )
Prereq: 6.0001 or permission of instructor
Units: 2-4-6
http://mit.edu/6.01/index.html
Lecture: M9.30-11 (32-123) Lab: M11-12.30,W9.30-12.30 (34-501) +final

An integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots. Key issues in the design of engineered artifacts operating in the natural world: measuring and modeling system behaviors; assessing errors in sensors and effectors; specifying tasks; designing solutions based on analytical and computational models; planning, executing, and evaluating experimental tests of performance; refining models and designs. Issues addressed in the context of computer programs, control systems, probabilistic inference problems, circuits and transducers, which all play important roles in achieving robust operation of a large variety of engineered systems.
Fall: A. Hartz
Spring: A. Hartz
No textbook information available

6.011 Signals, Systems and Inference

()
Prereq: 6.003; 6.008, 6.041A, or 18.600
Units: 4-0-8
Lecture: MW11 (32-123) Recitation: TR11 (34-303) or TR12 (34-303) +final

Covers signals, systems and inference in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; and group delay. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization. Least-mean square error estimation; Wiener filtering. Hypothesis testing; detection; matched filters.
G. Verghese
No textbook information available