Thompson Rivers University (TRU)

Kamloops, British Columbia, Canada

The purpose of this project is to provide students with an opportunity to apply existing Machine Learning algorithms to wide application area. In the lecture, students are introduced to the use of classical artificial intelligence techniques and the latest deep learning algorithms, which they would be able to apply to a project in your organization. Classical artificial intelligence techniques include knowledge representation, heuristic algorithms, rule-based systems, probabilistic reasoning, fuzzy systems, neural networks, and genetic algorithms. Deep learning algorithms include Convolutional Neural Networks (CNNs), Long Short Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs). By working with the students group, companies are able to testify their business idea, gather & analysis raw data, develop & verify AI algorithms & prototypes.

Thompson Rivers University (TRU)

Kamloops, British Columbia, Canada

In this course, students from Thompson Rivers University students have established an understanding theoretic and practical concepts of human-computer interaction which will help them produce user interfaces developed using a user-centered approach in your organization. In their projects, students will ideally focus initially on the principles of how to design interaction in general. After that, specific techniques for the application and implementation of the design principles will be presented. The programming component of the experience should focus on the production of user interfaces that follow the guidelines discussed in meetings.