Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

A course in statistics at the level of IEMS 303; A course in matrix analysis; Proficiency in programming, as extensive coding will be a key part of the curriculum. This course is considered a ...

Dulce Julissa Salas Benavides and Jesús Alejandro Salas Benavides explain the basics of microlearning, from how it works to benefits and key features Teaching and learning have evolved. It’s fair to ...

This graduate-level, introductory course provides an overview of the theoretical and practical foundations that inform learning, design, and technology. Course content and activities are designed to ...

Spread the loveThe integration of Google AI in education is heralding a new era for learners and educators alike. By introducing AI Overviews, Google has significantly altered the landscape of ...

Experiential learning (EL) is learning by doing. This is an active, hands-on process where learners apply their knowledge and practise their skills, while also engaging in reflection. Reflecting ...

This session is compulsory for all PhD researchers who intend to teach /support students as a PgTA, and should be completed before undertaking PgTA duties. Each Introductory session is based on a ...