ENDG233
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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)
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, pre-requisites, course levels, etc.