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COMP 1021 - Applied AI for Non-Programmers

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. All PTS classes are being delivered in an online format unless you are notified otherwise.

Course Details

​This hands-on entry level course provides an overview of Artificial Intelligence (AI) and is offered by BCIT Computing Part-time Studies. There are no specific prerequisites other than being proficient in using a personal computer, and being able to interact and communicate with others on a group project. Aimed at business or IT professionals and other who are curious about learning AI fundamentals, students begin by discussing AI concepts, and making comparisons to Machine Learning (ML) and Data Science. Lectures combined with labs and exercises focus using AI solutions. COMP 1021 was developed as part Canada's Digital Technology Supercluster capacity building project Athena Pathways. It is designed to help more Canadian women see the potential of the tech sector, and how a career in AI aligns with their skills and interests. Topics include; supervised learning, neural networks, unsupervised learning, and reinforcement learning. Commonly used AI tools and platforms allow participants to prepare data, train and evaluate their models. Online discussions include: natural language processing and decision making, as well as social issues and implications due to the limitations of AI. COMP 1021 is an elective in the Applied Information Systems (ACIS) Associate Certificate, which is a sub-set of the Computer Systems Technology (CST) Diploma. Evaluation includes significant participation, labs, activities, online quizzes, group work and a project presentation. Upon successful completion students will be able to develop and deploy a no-code AI solution using Microsoft Azure.

Prerequisite(s)

(Grade 12 English and COMP 1002) or equivalent ability.

Credits

3.0

This course isn't currently offered through BCIT Part-time Studies. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Learning Outcomes

Upon successful compleltion of this course, the student will be able to:

  • Define Artificial Intelligence (AI).
  • Explain the similarities and differences between Machine Learning (ML) and Data Science workflows using real-world examples.
  • Illustrate the inner workings of major AI techniques including techniques used in Natural Language Processing (NLP) and decision making.
  • Compare structured and unstructured data and Describe machine learning techniques that work best for each type of data.
  • Analyze complex AI products to discover and describe the underlying AI pipeline.
  • Recognize commonly used AI tools and platforms.
  • Build, test and deploy a simple AI Solution using Microsoft Azure Cognitive Services.
  • Identify various roles & responsibilities within an AI team.
  • Define a process for identifying feasible and valuable AI projects within a company.
  • Explain limitations of AI and the important social issues arising from these limitations; including the issues of discrimination and bias.

Effective as of Fall 2020

Related Programs

COMP 1021 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Computer Information Systems (ACIS)
    Part-time   Associate Certificate

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The personal information on this form is collected under the authority of the College and Institute Act (RSBC 1996, Ch.52). BCIT will use this information to communicate with you regarding relevant BCIT programs, courses and services. This information is only used by authorized BCIT staff. Email communication sent to and from BCIT is routed through the United States of America. If you have any questions about BCIT's collection and use of this information, please contact BCIT’s manager of Information Access and Privacy.

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English Language Proficiency

BCIT's Part-time Studies English Language Proficiency Standard is English 12 (or equivalency). Students who do not meet this requirement should upgrade their English skills prior to any future registration.

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Registration is currently open for the Fall 2020 term.

The sneak preview for the Winter 2021 term starts Fri, Oct 23 at 8:30 am (PDT).

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