2022 Courses

Browse, save, and share your favorites from this initial list of courses. We plan to publish the full catalogue in February 2022. When you're ready, apply to be a visiting Stanford student. Apply now for the best course choice when enrollment opens.

Course List

  • Molecular Genetics

    Catalog Number
    BIO 28S
    Course Cost
    $3699.00
    Population
    High School, Undergraduate
    Summary

    This course covers the fundamentals of molecular genetics, including principles of how genes work, how gene expression is regulated, and how signals are passed from cells to cells that are far away. In addition, the class will explore how gene expression and molecular genetics apply to various diseases, such as cancer and muscular dystrophy, and also discuss several case studies, including on the development of COVID vaccines.

    Details

    Units
    3
    Interest Area
    Natural Sciences
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Prerequisites

    High School Biology; AP or IB Biology recommended

  • Introduction to Human Physiology

    Catalog Number
    BIO 8S
    Course Cost
    $4932.00
    Population
    High School, Undergraduate
    Summary

    Normal functioning and pathophysiology of major organ systems: nervous, respiratory, cardiovascular, renal, digestive, and endocrine. Additional topics include integrative physiology, clinical case studies, and applications in genomics-based personalized medicine.

    Details

    Units
    4
    Interest Area
    Natural Sciences
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Prerequisites

    High School Biology; AP or IB Biology recommended

  • Understanding Energy - Essentials

    Catalog Number
    CEE 107S
    Course Cost
    $3699.00
    Population
    High School, Undergraduate, Graduate
    Summary

    Energy is the number one contributor to climate change and has significant consequences for our society, political system, economy, and environment. Energy as a fundamental driver of human development and opportunity. Fundamentals of each energy resource -- including significance and potential, drivers and barriers, policy and regulation, and social, economic, and environmental impacts and will be able to put this in the context of the broader energy system. Both depletable and renewable energy resources are covered, including oil, natural gas, coal, nuclear, biomass and biofuel, hydroelectric, wind, solar thermal and photovoltaics (PV), geothermal, and ocean energy, with cross-cutting topics including electricity, storage, climate change and greenhouse gas emissions (GHG), sustainability, green buildings, energy efficiency, transportation, and the developing world.

    Details

    Units
    3
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Prerequisites

    Not open to students who have already completed CEE 107A, CEE 207A or EARTHSYS 103

    Cross Listings
    CEE 207S
  • Sustainability Design Thinking

    Catalog Number
    CEE 176G
    Course Cost
    $3699.00
    Population
    High School, Undergraduate, Graduate
    Summary

    Application of design thinking to make sustainability compelling, impactful and realizable. Analysis of contextual, functional and human-centered design thinking techniques to promote sustainable design of products and environments by holistically considering space, form, environment, energy, economics, and health. Includes Studio project work in prototyping, modeling, testing, and realizing sustainable design ideas.

    Details

    Units
    3
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Cross Listings
    CEE 276G
  • Smart Cities & Communities

    Catalog Number
    CEE 177L
    Course Cost
    $3699.00
    Population
    High School, Undergraduate, Graduate
    Summary

    A city is a complex system of systems and people. Use of technology including IoT, data, advanced analytics, social media, mobile and cloud computing in Smart Cities to increase urban systems efficiency, improve the public services efficacy, and assure community sustainability. Case studies from around the world to illustrate opportunities in water, energy, transportation, buildings, and social services. The role of the citizen, public policy and public private partnerships. Risks of smart cities. Exploration of smart systems on the Stanford campus, and engagement with public sector and industry leaders.

    Details

    Units
    3
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Cross Listings
    CEE 277L
  • Introduction to Probability and Statistics for Engineers

    Catalog Number
    CME 106
    Course Cost
    $4932.00
    Population
    High School, Undergraduate, Graduate
    Summary

    Random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields.

    Details

    Units
    4
    Interest Area
    Math and Data Science
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Prerequisites

    CME 100/ENGR154 or MATH 51 or 52

    Cross Listings
    ENGR 155C
  • Into the Metaverse: Designing the Future of Virtual Worlds

    Catalog Number
    COMM 118S
    Course Cost
    $3699.00
    Population
    High School, Undergraduate
    Summary

    What will the future look like? One idea that is recently gaining attention is the Metaverse, a computer-generated simulation of a world in which people can meet and interact. In this course, students will critically evaluate the current landscape of such conceptualizations of virtual worlds. From the psychological and behavioral mechanisms of how people perceive virtual humans, to the design of virtual spaces and interactions, to the ethical considerations that shape how virtual worlds are regulated, this course will pull from multiple fields to provide a comprehensive understanding of virtual worlds. In the first week, the instructor will distribute Oculus Quest 2 headsets for each student to use and return at the end of the quarter. Using these headsets, we will go on virtual field trips to social worlds. Through in-VR experiences, academic papers and articles, and discussions, students will develop a toolset to learn how to approach designing future virtual worlds.

    Details

    Units
    3
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
  • Programming Methodology

    Catalog Number
    CS 106A
    Course Cost
    $6165.00
    Population
    High School, Undergraduate, Graduate
    Summary

    Introduction to the engineering of computer applications emphasizing modern software engineering principles: program design, decomposition, encapsulation, abstraction, and testing. Emphasis is on good programming style and the built-in facilities of respective languages. Uses the Python programming language. No prior programming experience required.

    Details

    Units
    5
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
  • Programming Abstractions

    Catalog Number
    CS 106B
    Course Cost
    $6165.00
    Population
    High School, Undergraduate, Graduate
    Summary

    Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Object-oriented programming, fundamental data structures (such as stacks, queues, sets) and data-directed design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities.

    Details

    Units
    5
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
  • Introduction to Probability for Computer Scientists

    Catalog Number
    CS 109
    Course Cost
    $6165.00
    Population
    Undergraduate, Graduate
    Summary

    Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms.

    Details

    Units
    5
    Course Format & Length
    In-Person, 8 weeks
    Dates
    -
    Prerequisites

    CS 103, 106B or X, multivariate calculus at the level of MATH 51 or CME 100 or equivalent

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Estimated Tuition

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Students who take Summer Session courses are awarded Stanford credit. Course costs are set by the university, based on number of units.
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