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Experiential Learning Opportunities
Modern Theory of Detection and Estimation
Engineering & Social Sciences Program
Madrid, Spain
Dates: 8/28/22 - 12/23/22
Modern Theory of Detection and Estimation
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Engineering
Instruction in: English
Course Code: 15939
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Statistics, Calculus II, Systems & Circuits
DESCRIPTION
Block 0 - Review of basic statistical concepts
- Random variables. Distribution functions.
- Definition of expected value, variance and covariance.
- Change of random variables
Block 1 - Decision
- General view of the decision problem.
- Design of classifiers under an analytical approach
- Characteristics of decisors
- Design of classifiers under a machine approach
Block 2 - Estimation
- General view of the estimation problem
- Design of estimators under an analytical approach
- Quality measures in estimators
- Design of estimators under a machine approach
Block 3 - Temporal Series Filtering
- Introduction to filtering
- Design of optimal filters
- Random variables. Distribution functions.
- Definition of expected value, variance and covariance.
- Change of random variables
Block 1 - Decision
- General view of the decision problem.
- Design of classifiers under an analytical approach
- Characteristics of decisors
- Design of classifiers under a machine approach
Block 2 - Estimation
- General view of the estimation problem
- Design of estimators under an analytical approach
- Quality measures in estimators
- Design of estimators under a machine approach
Block 3 - Temporal Series Filtering
- Introduction to filtering
- Design of optimal filters