Course Overview
This is an advanced course in Business Information Systems that builds on the material delivered in BSYS 3205 and serves as an introduction to Machine Learning (ML) and Artificial Intelligence (AI). This is a hands-on project-based course that introduces Big Data analytic concepts such as ML, AI, and NoSQL databases in an open source or cloud platform environment. The focus is to use the latest solutions in Deep Learning (DL) to gain better insights and predictions. This course will utilize the student’s background in databases and the Python programming language.
Prerequisite(s)
Credits
2.5
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Build and query schema-less data models using MongoDB.
- Explore the Python environment for machine learning development.
- Practice with top big data solutions from Google and Microsoft.
- Examine image/object recognition algorithms and their applications in the field of artificial intelligence.
- Use cloud platforms such as Microsoft Azure to design machine learning experiments.
Effective as of Winter 2019
Related Programs
Business Intelligence 2 (BSYS 4205) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Business + Media
- Business Information Technology Management (Enterprise Systems Management Option)
Diploma Full-time
- Business Intelligence
Associate Certificate Part-time
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.