Knowledge Discovery and Data Management

MGTS 417
Closed
Main contact
MacEwan University
Edmonton, Alberta, Canada
Coordinator
3
Timeline
  • January 4, 2023
    Program start
  • February 28, 2023
    Final Presentation
  • April 4, 2023
    Program end
Program
5 projects wanted
Dates set by program
Preferred companies
Anywhere
Any
Any industries

Program scope

Categories
Supply chain optimization Communications Project management Market expansion Product or service launch
Skills
digital marketing project planning business analytics marketing strategy research
Learner goals and capabilities

Partnership Opportunity

Is your organization seeking some extra support with analyzing data from a fresh perspective in a controlled manner? If so, we have 4th year business students that are seeking the opportunity to help you by going through a complete model development process to clean data, develop prediction models, and present results using dashboards. In this course students learn to develop proficiency in data mining techniques and the knowledge discovery process.

How this works

Teams of 4 students will be provided with a messy data set with many variables and a challenge or opportunity that you are interested in exploring. Then the students will connect with you to set up an initial meeting (virtual, on the phone, or in-person) to gather more information in the first weeks of January and will provide you with their final report the first week of April.

Learners

Learners
Undergraduate
Any level
40 learners
Project
40 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and deliverables

Your organization will receive a written feedback assessment report that summarizes the project and the findings. Students will also present their findings in a high-level presentation at the end of the term.

Project timeline
  • January 4, 2023
    Program start
  • February 28, 2023
    Final Presentation
  • April 4, 2023
    Program end

Project examples

Requirements

Some examples from a predictive analytics viewpoint would be:

  • Predicting house prices
  • Forest fire prediction
  • Chronic homeless prediction
  • Crime prediction
  • Vendor analysis for delivery times
  • Demand (Sales) forecasting

Additional company criteria

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

  • Q1 - Checkbox
  • Q2 - Text short
    To be considered for the class project you must complete this google form - https://forms.gle/Rs1XwaTB7WYwvXo39
  • Q3 - Checkbox