Stanford University

Antibiotic Stewardship

Introduction to Mathematical Thinking

COVID-19 Training for Healthcare Workers

Social and Economic Networks: Models and Analysis

Introduction to Clinical Data

Machine Learning

Understanding Einstein: The Special Theory of Relativity

Transitions in Care from Survivorship to Hospice

Game Theory II: Advanced Applications

Organizational Analysis

Palliative Care Always Capstone Course

Graph Search, Shortest Paths, and Data Structures

Stories of Infection

Probabilistic Graphical Models 1: Representation

Evaluations of AI Applications in Healthcare

International Women's Health and Human Rights

Writing in the Sciences

Stanford's Short Course on Breastfeeding

Introduction to Logic

AI in Healthcare Capstone

Child Nutrition and Cooking

Supporting Families and Caregivers

Game Theory

Essentials of Palliative Care

Probabilistic Graphical Models 2: Inference

Health Across the Gender Spectrum

Audio Signal Processing for Music Applications

Cooking for Busy Healthy People

Health After Cancer: Cancer Survivorship for Primary Care

Introduction to Statistics

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Symptom Management in Palliative Care

Probabilistic Graphical Models 3: Learning

Cryptography II

Introduction to Food and Our Environment

Stanford Introduction to Food and Health

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Fundamentals of Machine Learning for Healthcare

Cryptography I

How Technology is Shaping Democracy and the 2020 Election

Rebuilding Our Relationship with Food

How Software Ate Finance

Giving 2.0: The MOOC

Introduction to Healthcare

Love as a Force for Social Justice

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Capacitación sobre COVID-19 para trabajadores de salud

स्वास्थ्य कर्मचारियों के लिए कोविड-19 ट्रेनिंग