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Engineering Statistics ELEX 7010

Electrical and Computer Engineering Course

International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

The course covers numerical and graphical methods of descriptive statistics, basic probability theory, the notion of discrete and continuous random variables and their probability distributions (focussing on the binomial, geometric, hypergeometric, Poisson, uniform, exponential, normal and Erlang-k distributions), the connection between probability and statistical inference (population and sample), sampling and sampling distributions, computation of confidence interval estimates and testing of hypotheses (involving means, differences of means, proportions, difference of proportions, variances), an introduction to simple and multiple linear regression, an introduction to experimental design and analysis of variance, and an introduction to basic principles of quality control.

Prerequisite(s)

  • No prerequisites are required for this course.

Credits

3.0

Domestic fees

$726.00

Course offerings

Spring/Summer 2024

Below is one offering of ELEX 7010 for the Spring/Summer 2024 term.

CRN 62400

Duration

Wed Apr 24 - Wed Aug 07 (16 weeks)

  • 16 weeks
  • CRN 62400
  • Domestic fees $726.00
    International fees are typically three times the amount of domestic fees.
Class meeting times
Dates Days Times Locations
Apr 24 - Aug 07 Wed 18:30 - 21:30 Burnaby SW01 Rm. 1025
Instructor

Erik Korolenko

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Domestic fees

$726.00

Important information
  1. International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
  2. Registrants who are not BTech Electronics students must have departmental approval. Please contact Katie Howard at 604-432-8237 or khoward18@bcit.ca for more information or to be placed on a waitlist if the course is full. Note: BCIT reserves the right to cancel courses. In the event of a course cancellation, you will be notified at least two business days prior to the course start. Please ensure that your contact information is current in your myBCIT account.
Status

Learning Outcomes

By the end of the course, the student is expected to be able to:

  • Explain the relationship between statistical populations and random samples, listing reasons why a sampling approach is usually necessary in determining characteristics of populations.
  • Calculate common numerical characteristics of data sets (measures of central tendency, of variability, and of relative standing).
  • Relate the relative frequency concept of probability to the basic properties of a probability.
  • Apply the notion of conditional probability to situations in which the notion of independence of events is relevant.
  • Describe the notion of a both a discrete and continuous random variable and its probability and cumulative probability distributions, mean value, standard deviation.
  • Justify the use of the binomial, Poisson, geometric, hypergeometric, uniform, exponential, Wiebull, Erlang-k, or normal distributions probability distributions to solve probability problems involving these distributions.
  • Support the major implications of the Central Limit Theorem using sound statistical reasoning.
  • Outline the major issues of statistical estimation (point estimates, interval estimates, characteristics of estimators).
  • Support the standard hypothesis test procedure using logical reasoning and correct terminology.
  • Describe the basic features of a completely randomized single factor statistical experiment, and the principle behind the ANOVA method, and demonstrate how to carry out the F-Test and basic approaches to multiple comparisons.
  • Evaluate the advantage of randomized block designs over completely randomized experimental designs.
  • Perform the computations involved in carrying out the basic ANOVA for a randomized block design.
  • Interpret results of multiple linear regression calculations.
  • Justify statistical process control conclusions using fundamental statistical reasoning.

Effective as of Fall 2003

Related Programs

Engineering Statistics (ELEX 7010) is offered as a part of the following programs:

School of Energy

  1. Electronics
    Bachelor of Technology Part-time

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.