Biological Image Analysis

Description
Methods of analysis for continuous and discrete-time linear systems. Convolution, classical solution of dynamic equations, transforms and matrices are reviewed. Emphasis is on the concept of state space. Linear spaces, concept of state, modes, controllability, observability, state transition matrix. State variable feedback, compensation, decoupling. The full course outline, class notes, and sample exams can be found by clicking this link.

Prerequisites
ECSE-2410 Signals and Systems or equivalent.

Textbook(s)
Ordering Information

Format
Classes: 28 sessions
Homework: 11
Exams: 3

Grading
Homework: 15%
Exams: 85%

Computing
Email and World Wide Web access required for course communications, use of WebCT, and printing of course notes. Students should have access to MATLAB Student Version, Release 12 and can access this by telnetting into the Rensselaer network. Login IDs will be provided.

Access to WebCT, Rensselaer's course management tool, is required. Please refer to this page for instructions on how to set up your computer for WebCT.

Who Should Enroll
This course may be used in your Plan of Study as follows:

Degree Programs
CSCI - elective with advisor pre-approval
CSYS - technical elective
ELEC - technical elective
EPOW - technical elective
ESCI-MOT - elective with advisor pre-approval
ESCI-MSE - elective with advisor pre-approval
ITEC - n/a
MANE - elective with advisor pre-approval
MBA - elective with advisor pre-approval
MGMT-MS - elective with advisor pre-approval
MGTE - elective with advisor pre-approval
TCOM - elective with advisor pre-approval

This course is also open to non-matriculated students who meet the prerequisites and is required for the Certificate in Computer Science.