Skip to main content

ENDG319

Probability, Statistics and Machine Learning

Schulich School of Engineering EN - Schulich School of Engineering

Subject

ENDG - Digital Engineering

Description

Presentation and description of data, introduction to probability theory, Bayes' theorem, discrete and continuous probability distributions, estimation, sampling distributions, tests of hypotheses on means, variances and proportions; Introduction to fundamental machine learning including linear regression, classification and correlation. Applications are chosen from engineering practice from all disciplines.

Prerequisite(s): Mathematics 277 or 331; and one of Engineering 233, Digital Engineering 233 or 440.

Antirequisite(s): Credit for Digital Engineering 319 and Biomedical Engineering 319 will not be allowed.

Also known as: (formerly Engineering 319)

Course Attributes

Fee Rate Group(Domestic) - D, Fee Rate Group(International) -C, GFC Hours (3-1.5T)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Component

TUT

Units

3

Repeat for Credit

No

Subject code

ENDG

Understanding Course Information

Please refer to Course Terminology and Description to better understand how to interpret course information such as GFC hours, prerequisites, course levels, etc.

Note that not all courses are offered every term or every year. Please refer to the schedule of classes or Schedule Builder to see active class offerings.

Contact Us

Reach out to us if you have any questions about the new Calendar website or to provide feedback on any of the site navigation. For any questions regarding your program or for specific interpretations of regulations, please connect with an advisor for support.

Site Disclaimer

Please read the Important Notice and Disclaimer to understand your rights and responsibilities with regards to using the Academic Calendar.

The University of Calgary, located in the heart of Southern Alberta, both acknowledges and pays tribute to the traditional territories of the peoples of Treaty 7, which include the Blackfoot Confederacy (comprised of the Siksika, the Piikani, and the Kainai First Nations), the Tsuut’ina First Nation, and the Stoney Nakoda (including Chiniki, Bearspaw, and Goodstoney First Nations). The City of Calgary is also home to the Métis Nation of Alberta (districts 5 and 6).

The University of Calgary is situated on land Northwest of where the Bow River meets the Elbow River, a site traditionally known as Moh’kins’tsis to the Blackfoot, Wîchîspa to the Stoney Nakoda, and Guts’ists’i to the Tsuut’ina. On this land and in this place we strive to learn together, walk together, and grow together “in a good way.”

Powered by Coursedog