Pre-College Programs

An understanding of physiology is an invaluable part of any budding physician, scientist, or healthcare provider’s repertoire. Discover classical anatomy and physiology of the human body as we explore the nervous, muscular, cardiopulmonary, renal, digestive, and immune systems, and learn how each effects health and disease. In addition to classroom study, you will be challenged to synthesize this newfound knowledge by participating in interactive activities. If you wish to pursue biomedical and scientific studies in the future, you will utilize the knowledge of the basic physiological processes learned in this program.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Background in Biology is strongly recommended.

Required Text: Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932).

An understanding of physiology is an invaluable part of any budding physician, scientist, or healthcare provider’s repertoire. Discover classical anatomy and physiology of the human body as we explore the nervous, muscular, cardiopulmonary, renal, digestive, and immune systems, and learn how each effects health and disease. In addition to classroom study, you will be challenged to synthesize this newfound knowledge by participating in interactive activities. If you wish to pursue biomedical and scientific studies in the future, you will utilize the knowledge of the basic physiological processes learned in this program.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Background in Biology is strongly recommended.

Required Text: Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932).

An understanding of physiology is an invaluable part of any budding physician, scientist, or healthcare provider’s repertoire. Discover classical anatomy and physiology of the human body as we explore the nervous, muscular, cardiopulmonary, renal, digestive, and immune systems, and learn how each effects health and disease. In addition to classroom study, you will be challenged to synthesize this newfound knowledge by participating in interactive activities. If you wish to pursue biomedical and scientific studies in the future, you will utilize the knowledge of the basic physiological processes learned in this program.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Background in Biology is strongly recommended.

Required Text: Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932). Students may purchase either a hard copy or eTextbook.

An understanding of physiology is an invaluable part of any budding physician’s or scientist’s repertoire. This course introduces classical physiology in the human body, and how it functions in both health and disease. This, the first of a two-part course (Anatomy, Physiology & Disease: Guts, Hormones and Reproduction is optional but should be a consideration), will cover core topics including the nervous, muscular, and cardiopulmonary systems, and physiology and disease. Additionally, students will be working outside the classroom to consolidate and reinforce their new understanding of the subject. Ultimately, knowledge of basic physiology should impact future research and serve as a foundation for all future scientific and biomedical endeavors.

Students in this course must bring a laptop or tablet, such as a Chromebook.

Prerequisite: Background in Biology is strongly recommended.

Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932). Students may purchase either a hard copy or eTextbook.

An understanding of physiology is an invaluable part of any budding physician’s or scientist’s repertoire. This course introduces classical physiology in the human body, and how it functions in both health and disease. This, the first of a two-part course (Anatomy, Physiology & Disease: Guts, Hormones and Reproduction is optional but should be a consideration), will cover core topics including the nervous, muscular, and cardiopulmonary systems, and physiology and disease. Additionally, students will be working outside the classroom to consolidate and reinforce their new understanding of the subject. Ultimately, knowledge of basic physiology should impact future research and serve as a foundation for all future scientific and biomedical endeavors.

Students in this course must bring a laptop or tablet, such as a Chromebook.

Prerequisite: Background in Biology is strongly recommended
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Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932). Students may purchase either a hard copy or eTextbook.

An understanding of physiology is an invaluable part of any budding physician’s or scientist’s repertoire. In this, the second of a two-part course introducing classical physiology in the human body, and how it functions in both health and disease, we will cover guts (renal, digestive, and immune systems), as well as hormones (basic endocrinology) and sex/reproductive physiology. In addition to classroom study, students will be challenged to synthesize their newfound knowledge by taking part in immersive afternoon activities. While this represents a wholly separate course that may be taken independently, students should also consider taking the first part of this series (Anatomy, Physiology, & Disease: Core Systems) to bolster their understanding (offered in Summer Sessions 1 and 3). Ultimately, knowledge of basic physiological processes should impact the student's future research and serve as a foundation for all future scientific and biomedical endeavors.

Students in this course must bring a laptop or tablet, such as a Chromebook.

Prerequisite: Background in Biology is strongly recommended.

Required Text: The textbook for this course is Lauralee Sherwood’s HUMAN PHYSIOLOGY: FROM CELLS TO SYSTEMS 9th Edition (Cengage Learning, ISBN 978-1285866932). Students may purchase either a hard copy or eTextbook.

Discover how chemistry, one of the oldest scientific disciplines, has made significant contributions within numerous fields such as health care, medicine, pharmaceutical sciences, materials and polymer science, and forensic chemistry. For example, the development of new drugs involves chemical analysis and synthesis of new compounds. Chemistry also plays a vital role in the development and growth of several consumer-based industries such as pigments and paints, pharmaceuticals, cosmetics and oil and natural gas. In this program, you will focus on the applications of chemistry in medicine and pharmaceutical sciences.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Background in Chemistry and Biology is strongly recommended.

Required Text: There are no required textbooks for this program; all readings and video resources will be made available to you throughout the program.

Discover how chemistry, one of the oldest scientific disciplines, has made significant contributions within numerous fields such as health care, medicine, pharmaceutical sciences, materials and polymer science, and forensic chemistry. For example, the development of new drugs involves chemical analysis and synthesis of new compounds. Chemistry also plays a vital role in the development and growth of several consumer-based industries such as pigments and paints, pharmaceuticals, cosmetics and oil and natural gas. In this program, you will focus on the applications of chemistry in medicine and pharmaceutical sciences.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Background in Chemistry and Biology is strongly recommended.

Required Text: There are no required textbooks for this program; all readings and video resources will be made available to you throughout the program.

Ever wondered how the ads you see seem to know exactly what you want even before you do? Dive into the world of Big Data and Advertising where technology meets creativity to shape consumer behavior and business strategy. This course offers a deep exploration of how big data is revolutionizing advertising, from personalized ads to predictive analytics. By integrating perspectives from psychology, economics, computer science, and marketing, you’ll gain insights into how data drives decisions in the advertising world. Explore the psychological principles behind consumer behavior, learn how data is collected, and understand the ethical implications of using personal information in advertising. Through hands-on programming in Python, you’ll manipulate large datasets to discover patterns that drive ad campaigns. This interdisciplinary course challenges you to think critically about the intersection of technology, ethics, and business, preparing you to navigate the complexities of data-driven advertising. No prior coding experience is required, making this course accessible to all students interested in the powerful combination of big data and advertising.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.

Curious about how big data and social media shape democracy and everyday life? This course offers an interdisciplinary exploration of big data, focusing on its applications and ethical concerns at the intersection of neuroscience, psychology, civic engagement, and data security. You'll examine how algorithms and big data influence brain function, behavior, and political polarization. The course addresses ethical implications such as privacy, misinformation, and security, alongside the role of social media in shaping democratic processes. Through hands-on programming in Python, you'll manipulate large datasets, with a final project exploring data's role in democracy, entertainment, safety, or social media. Discussions and quizzes will cover broader societal and ethical impacts, providing a well-rounded understanding of data origins, analysis, and use in civic life. This course is ideal for students interested in careers in computer science, data science, neuroscience, psychology, cybersecurity and civic engagement. No prior coding experience is required.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.

Curious about how big data and social media shape democracy and everyday life? This course offers an interdisciplinary exploration of big data, focusing on its applications and ethical concerns at the intersection of neuroscience, psychology, civic engagement, and data security. You'll examine how algorithms and big data influence brain function, behavior, and political polarization. The course addresses ethical implications such as privacy, misinformation, and security, alongside the role of social media in shaping democratic processes. Through hands-on programming in Python, you'll manipulate large datasets, with a final project exploring data's role in democracy, entertainment, safety, or social media. Discussions and quizzes will cover broader societal and ethical impacts, providing a well-rounded understanding of data origins, analysis, and use in civic life. This course is ideal for students interested in careers in computer science, data science, neuroscience, psychology, cybersecurity and civic engagement. No prior coding experience is required.

Students in this course must bring a laptop capable of running Python (with Anaconda installed), opening spreadsheets, browsing the internet, and using programs such as Microsoft Word and PowerPoint for project and group work. Students will be required to download datasets from online sources, so their laptops should have appropriate privacy and security protections, such as antivirus software. Students must engage in secure browsing practices.

Enjoy the opportunity to develop your creative writing skills. You will work in both fiction and poetry. Through a combination of robust discussion, writing exercises, and substantial feedback, you will learn about imagery, voice, narrative structure, and other aspects of the writer’s craft. The reading list will include a diverse range of contemporary authors. There will be a strong emphasis on collaborative workshopping, during which you will discuss one another’s works in progress.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: There are no prerequisites for this program.

Required Text: All required readings are available for free on JHU eReserves. Additional readings and video resources will be made available to you throughout the program.

Enjoy the opportunity to develop your creative writing skills. You will work in both fiction and poetry. Through a combination of robust discussion, writing exercises, and substantial feedback, you will learn about imagery, voice, narrative structure, and other aspects of the writer’s craft. The reading list will include a diverse range of contemporary authors. There will be a strong emphasis on collaborative workshopping, during which you will discuss one another’s works in progress.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: There are no prerequisites for this program.

Required Text: All required readings are available for free on JHU eReserves. Additional readings and video resources will be made available to you throughout the program.

Enjoy the opportunity to develop your creative writing skills. You will work in both fiction and poetry. Through a combination of robust discussion, writing exercises, and substantial feedback, you will learn about imagery, voice, narrative structure, and other aspects of the writer’s craft. The reading list will include a diverse range of contemporary authors. There will be a strong emphasis on collaborative workshopping, during which you will discuss one another’s works in progress.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: There are no prerequisites for this program.

Required Text: All required readings are available for free on JHU eReserves. Additional readings and video resources will be made available to you throughout the program.

In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. 

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Precalculus. (There is no programming requisite required for this course.)

Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.

In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. 

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Precalculus. (There is no programming requisite required for this course.)

Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.

In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. 

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: Precalculus. (There is no programming requisite required for this course.)

Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.

In the midst of a global pandemic that has shifted the ways in which we move, work, and interact with others around the world, it is more important than ever to have a deeper understanding of how outbreaks, epidemics, and pandemics have evolved. You will review select communicable (COVID-19, Ebola, Zika, and HIV) and non-communicable (diabetes, cancer, cardiovascular disease, injury, and mental health) diseases in public health around the world. Examine the global burden of these diseases and the various forms of prevention efforts undertaken by global and national organizations. This program will use a combination of lecture, discussion, and student presentation format to encourage broad participation.

This online program is primarily delivered asynchronously, but students are expected to meet both daily and weekly deadlines for class assignments. Your instructor will also provide optional opportunities for synchronous sessions, such as office hours, group discussions, and supplemental lectures. Attendance for synchronous sessions is voluntary and based on students’ availability.

Prerequisite: There are no prerequisites for this program.

Required Text: There are no required textbooks for this program; all readings and video resources will be made available to you throughout the program.

Through a mix of lectures and hands-on activities, you will learn how astronomers study objects in space using different types of light, observatories, and instrumental techniques. You will also hear from active researchers about the big, open questions in astronomy and how we use space telescopes such as Hubble and Webb to answer those questions. Building on this knowledge, you will work with a small group to design your own space telescope and present that design to your peers. No prior knowledge of astronomy, physics, or mathematics is assumed.

Students in this course must bring a laptop or device capable of opening PDFs and running Google docs for project and group work.

Through a mix of lectures and hands-on activities, you will learn how astronomers study objects in space using different types of light, observatories, and instrumental techniques. You will also hear from active researchers about the big, open questions in astronomy and how we use space telescopes such as Hubble and Webb to answer those questions. Building on this knowledge, you will work with a small group to design your own space telescope and present that design to your peers. No prior knowledge of astronomy, physics, or mathematics is assumed.

Students in this course must bring a laptop or device capable of opening PDFs and running Google docs for project and group work.

Through a mix of lectures and hands-on activities, you will learn how astronomers study objects in space using different types of light, observatories, and instrumental techniques. You will also hear from active researchers about the big, open questions in astronomy and how we use space telescopes such as Hubble and Webb to answer those questions. Building on this knowledge, you will work with a small group to design your own space telescope and present that design to your peers. No prior knowledge of astronomy, physics, or mathematics is assumed.

Students in this course must bring a laptop or device capable of opening PDFs and running Google docs for project and group work.

As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.

Students in this course must bring a laptop or device capable of opening a spreadsheet, running cloud-based code, and running cloud-based programs like Microsoft Word and PPT.

As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.

Students in this course must bring a laptop or device capable of opening a spreadsheet, running cloud-based code, and running cloud-based programs like Microsoft Word and PPT.

As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.

Students in this course must bring a laptop or device capable of opening a spreadsheet, running cloud-based code, and running cloud-based programs like Microsoft Word and PPT.

What does it mean to “design” an experiment? How do scientists go about planning experimental approaches that test specific hypotheses and provide informative results? These are the types of questions that lie at the heart of independent research. For example, scientists might ask: What analytical methods are best suited to answering a specific question? Which samples should be included in the analysis? What types of variables could influence the outcome of the experiments? This course will address such questions by having students design and carry out experiments to test specific hypotheses. Emphasis is placed on planning the experimental approaches and setting up experiments that include appropriate controls. The specific techniques used in the lab will vary but include standard techniques in molecular biology such as gel electrophoresis, PCR, and gene expression.