CIS Abroad has joined forces with
CEA CAPA Education Abroad
As part of the CEA CAPA Education Abroad family, you'll find even more opportunities with our expanding global network.
Barcelona SAE has joined forces with
CEA CAPA Education Abroad
As part of the CEA CAPA Education Abroad family, you'll find even more opportunities with our expanding global network.
Modern Theory of Detection and Estimation
Engineering & Social Sciences Program
Madrid, Spain
Dates: 8/29/26 - 12/23/26
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