Founded by Dr. Barbara Oakley and Dr. Terrence Sejnowski, Deep Teaching Solutions specializes in creating high-quality educational content focused on evidence-based learning techniques and teaching methodologies. The organization combines insights from neuroscience and cognitive psychology to develop effective learning strategies for students and educators worldwide.
4.9/5
Course rating average
3.8M+
Global learners
4+
Learning modules
Coursera Partnership
McMaster University Partnership
University of California San Diego Partnership
Arizona State University Partnership
Deep Teaching Solutions provides comprehensive learning development support through multiple channels. Their approach combines neuroscience research with practical applications to help learners develop effective study techniques and learning strategies. Through partnerships with major educational platforms and institutions, they deliver evidence-based methodologies that enhance learning outcomes across various disciplines. The organization's success is demonstrated by consistently high course ratings and massive enrollment numbers in their flagship courses.
4.9/5
Instructor rating
98%
Student satisfaction
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Francis Crick Professor at the Salk Institute for Biological Studies
Terrence Sejnowski is a pioneering figure in computational neuroscience, dedicated to uncovering the principles that connect brain activity to behavior. His laboratory employs experimental and modeling techniques to investigate the biophysical properties of synapses and neurons, as well as the population dynamics within large neural networks. He has developed innovative computational models and analytical tools to explore how the brain represents information and how new representations emerge through learning algorithms that modify synaptic strengths.
Computer Scientist and Logician Advances Spatial Logic Research Through Academic Innovation
Adam Trybus is a distinguished computer scientist and logician who completed his doctorate at the University of Manchester, where his research focused on developing axiom systems for spatial logic with convexity. His academic work has contributed significantly to the field of mathematical logic and spatial reasoning. Currently affiliated with the Faculty of Philosophy at Jagiellonian University and Deep Teaching Solutions, Trybus combines his theoretical expertise with practical applications. Beyond his academic work, he has demonstrated entrepreneurial success in the fitness and technology sectors, developing adaptive training methodologies and creating content that bridges theoretical concepts with practical applications. His approach emphasizes the importance of functional fitness and adaptable training systems, as evidenced by his published work "Adaptive Training: Building a Body That's Fit for Function"