Course material examining the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient.
Type of Material:
Online course material
Recommended Uses:
Individual, self-paced, homework.
Technical Requirements:
The student needs access to Internet and a web browser (e.g. IE, chrome, safari, firefox).
Identify Major Learning Goals:
Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection.
Target Student Population:
Undergraduates / Graduate Students
Prerequisite Knowledge or Skills:
As an introductory course, it only requires basic knowledge on Circuits and Electronic Systems.
Content Quality
Rating:
Strengths:
Information is very complete as it includes full reading list, assignments and class material. It provides students with Fundamentals of signals and information theory, signal processing and linear systems theory.
Concerns:
The content might be outdated as the course was taught in 2007.
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
It provides detailed information on assignments, reading lists, and lecture notes. Teachers could use reading lists to adequate the module to their class.
Concerns:
Information on how to use the material might not be self-explanatory as it was designed to be part of a lecture. Assignments doesn't include a solution document for the student to know if the answer they obtained is correct.
Ease of Use for Both Students and Faculty
Rating:
Strengths:
It allows downloading all the information to be used without Internet connection.
Concerns:
It doesn't explain clearly how to use it to get the best of it. It doesn't specify which previous knowledge is necessary for this course.
Creative Commons:
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