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ENDG233

Programming with Data

Schulich School of Engineering EN - Schulich School of Engineering

Subject

ENDG - Digital Engineering

Description

Fundamental programming constructs and data structures. Algorithm development and problem solving. Programming techniques to facilitate data analysis. Obtaining and cleaning data. Data validation. Data manipulation. Data visualization. Introduction to decision making using machine learning. Applications chosen from all engineering disciplines.

Antirequisite(s): Credit for Digital Engineering 233 and any of Computer Science 217, 231, 235, Computer Engineering 339 or Engineering 233 will not be allowed.

Also known as: (formerly Engineering 233)

Course Attributes

Fee Rate Group(Domestic) - D, Fee Rate Group(International) -C, GFC Hours (3-2)

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

LAB

Component

LEC

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.

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