ELEC 471: ABET Course Objectives and Outcomes


ABET program outcomes that we must meet


Course objectives:

Students finishing this course will understand the basic concepts and tools of probability theory, and they will appreciate the relevance and usefulness of probability and statistics in practical engineering problems. Students will be able to apply probability to problems of statistical inference that are drawn from the field of electrical engineering, particularly detection and estimation in digital communication systems. Hands-on experience with the course material is provided through demonstrations and projects using MATLAB.


Course outcomes:

At the conclusion of the course, students will be able to

  1. apply elementary probability concepts, such as disjoint/independent events, conditional probability, and total probability to solve practical probability problems.
    (a, n)

  2. apply discrete random variables and probability mass functions to compute probabilities and expected values in a variety of applications.
    (a, n)

  3. apply probability theory to analyze and reduce transmission errors in digital communication systems.
    (a, c, e, n)

  4. apply conditional probability analysis to develop decision rules and estimates.
    (a, n)

  5. analyze pairs of random variables in terms of their joint probabilities, covariance, and correlation coefficient.
    (a, n)

  6. apply continuous random variables and probability density functions to compute probabilities and expected values in a variety of applications.
    (a, n)

  7. compute probabilities associated with Gaussian random variables.
    (a, n)

  8. present solutions of probability problems to classmates.
    (g, n)

  9. use Matlab to calculate probabilities and simulate the performance of systems containing randomness.
    (k, m, n)

  10. estimate parameters with least-squares methods.
    (a, e, n)