Stanford University

This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a [...]

Democracy can only thrive with the participation of well-informed citizens. The 2020 U.S. presidential election will be historic for many reasons and all parties are leveraging the power of technology to both influence and mobilize voters. More than ever, digital tools and platforms are shaping the opinions and behaviors [...]

Stanford's Short Course on Breastfeeding was designed for new mothers and the people who support them. This engaging, one-week learning experience, provides participants with everything they need to know to more successfully establish breastfeeding – or support a new mother who has decided to breastfeed. We created the course [...]

This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, peer review, grant writing, ethical issues in scientific publication, and writing for general [...]

This course will explore the concept of agape love (compassion/kindness) as a force for social justice and action and as the inspiration for service and the application of knowledge to positive social change. Biological, psychological, religious, and social perspectives of love will be discussed, drawing on the expertise of [...]

This course focuses on women’s health and human rights issues from infancy through old age, including information about positive interventions relating to those issues. Learners are encouraged to interact with each other through interactive discussions. It is important to us that this course be available to all learners. [...]

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).