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Fall 2024 Technical Statistics for Engineering

MTH235
Closed
Canadore College
Canadore College
North Bay, Ontario, Canada
Chris Shier He / Him
Math Professor
1
Timeline
  • November 4, 2024
    Experience start
  • November 6, 2024
    Kick-off meeting
  • December 14, 2024
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Construction, engineering & trades
Categories
Data analysis Civil engineering Mechanical engineering
Skills
online communication research
Learner goals and capabilities

Looking to elevate your organization, and bring it to the next level? Bring on learners from Canadore College to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools.


This course will introduce the student to a variety of quantitative methods used in research and decision making related to engineering. The emphasis of this course will be on descriptive statistical techniques, probability, the normal distribution, inferential statistics, and simple linear regression and correlation. Microsoft Excel will be used for most of the calculations.

Learners
Undergraduate
Any level
20 learners
Project
15 hours per learner
Educators assign learners to projects
Teams of 2
Expected outcomes and deliverables

Deliverables are negotiable, and will seek to align the needs of the learners and the organization. 


Some final project deliverables might include: 

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations


Project timeline
  • November 4, 2024
    Experience start
  • November 6, 2024
    Kick-off meeting
  • December 14, 2024
    Experience end
Project Examples

Learners in groups of 2-4 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.


Project activities that learners can complete may include, but are not limited to: 

  • sort, organize, and present data in Excel
  • calculate relevant descriptive statistics for a given data set
  • analyze sample data to make inferences about population parameters
  • summarize key information, findings, and recommendations in a report


Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone/virtual call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the experience.

Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address learners’ questions as well as periodic messages over the duration of the project.

How is your project relevant to the experience?