In this course, you will:

Reflect on your Identity as a Learner: Learn about the history and benefits of learning online and reflect on how embarking on this new journey of learning online fits into your broader narrative as a lifelong learner.

Develop Digital Literacy Skills: Acquire essential skills for navigating and utilizing online learning technologies effectively, including familiarity with Learning Management Systems, the unique features of the edX platform, and using AI to support your learning.

Enhance Metacognitive Skills: Learn to develop awareness of your own learning behaviors and thought processes, a key aspect of successful online learning.

Apply Effective Study Strategies: Examine a range of study strategies based on current research, covering awareness, balance, community engagement, and dedication to learning.

Leverage Community Resources: Discuss how to effectively utilize peer interactions and community resources to enhance your learning experience.

Improve Time Management: Cultivate strong time management skills tailored for online learning, including techniques like the Pomodoro method and understanding your chronotype for optimal learning.

38:T68d,

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines; neural networks and deep learning; survival models; multiple testi

Erik Meijer

About me