On-Campus Pre-College Summer Programs

Applied Anatomy and Physiology offers students a systems-focused introduction to the human body, its capacities, and functions. The course addresses core concepts in the field, including organ systems, relationships between organ systems, homeostasis, and the relationship between form and function. Students will engage these core concepts through dissections, medical case studies, group discussions, lectures, and lab work. While the course largely addresses macroscopic gross anatomy, students also will be introduced to microscopic anatomy, or histology. Collaborative learning is a core component of this course, and students gain an appreciation for the crucial role that teamwork plays in all successful medical and research careers.

Prerequisite: Background in Biology is strongly recommended.

Applied Anatomy and Physiology offers students a systems-focused introduction to the human body, its capacities, and functions. The course addresses core concepts in the field, including organ systems, relationships between organ systems, homeostasis, and the relationship between form and function. Students will engage these core concepts through dissections, medical case studies, group discussions, lectures, and lab work. While the course largely addresses macroscopic gross anatomy, students also will be introduced to microscopic anatomy, or histology. Collaborative learning is a core component of this course, and students gain an appreciation for the crucial role that teamwork plays in all successful medical and research careers.

Prerequisite: Background in Biology is strongly recommended.

Applied Anatomy and Physiology offers students a systems-focused introduction to the human body, its capacities, and functions. The course addresses core concepts in the field, including organ systems, relationships between organ systems, homeostasis, and the relationship between form and function. Students will engage these core concepts through dissections, medical case studies, group discussions, lectures, and lab work. While the course largely addresses macroscopic gross anatomy, students also will be introduced to microscopic anatomy, or histology. Collaborative learning is a core component of this course, and students gain an appreciation for the crucial role that teamwork plays in all successful medical and research careers.

Prerequisite: Background in Biology is strongly recommended.

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 are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.

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 are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.

How do big data and social media shape our ideas about ourselves and our participation in governance? This interdisciplinary course examines the influence of algorithms and large-scale data systems in our lives and society at large. Students explore how data-driven technologies affect brain function, human behavior, and public discourse as they engage with the work of Dr. Lilliana Mason and other JHU faculty experts. Students investigate pressing ethical issues related to privacy, misinformation, data security, and digital manipulation. Through hands-on programming in Python, students will work with real-world datasets to analyze trends and patterns, culminating in a final project that explores data’s impact on social behavior and participatory governance. This course is ideal for students interested in computer science, data science, neuroscience, psychology, cybersecurity, and/or governance. No prior programming experience is required.

Students in this course are required to complete 3 hours of prework prior to the first day of class.

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, PowerPoint, and Canva 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.

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 and Claude become increasingly sophisticated, understanding how they work is more important than ever. This course introduces students to the mathematical and statistical principles behind machine learning and AI technologies. Students will learn the mathematical concepts behind classification and prediction models and implement these models in Python. Working with real-world data, students will design machine learning applications that power modern AI systems. Models studied include linear regression, classification trees, neural networks, and K-nearest neighbors (KNN). By testing and improving their models, students will gain insight into both the possibilities and limitations of AI.

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

Prerequsite: Alebra I.

As artificial intelligence models like ChatGPT and Claude become increasingly sophisticated, understanding how they work is more important than ever. This course introduces students to the mathematical and statistical principles behind machine learning and AI technologies. Students will learn the mathematical concepts behind classification and prediction models and implement these models in Python. Working with real-world data, students will design machine learning applications that power modern AI systems. Models studied include linear regression, classification trees, neural networks, and K-nearest neighbors (KNN). By testing and improving their models, students will gain insight into both the possibilities and limitations of AI.

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

Prerequsite: Alebra I.

As artificial intelligence models like ChatGPT and Claude become increasingly sophisticated, understanding how they work is more important than ever. This course introduces students to the mathematical and statistical principles behind machine learning and AI technologies. Students will learn the mathematical concepts behind classification and prediction models and implement these models in Python. Working with real-world data, students will design machine learning applications that power modern AI systems. Models studied include linear regression, classification trees, neural networks, and K-nearest neighbors (KNN). By testing and improving their models, students will gain insight into both the possibilities and limitations of AI.

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

Prerequsite: Alebra I.

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.

Prerequisite: High School Biology. (Students should have familiarity with transcription and translation as they relate to gene expression.)

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.

Prerequisite: High School Biology. (Students should have familiarity with transcription and translation as they relate to gene expression.)

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.

Prerequisite: High School Biology. (Students should have familiarity with transcription and translation as they relate to gene expression.)

In this program you will be introduced to a variety of biochemical and molecular biological laboratory techniques. These will include DNA analysis by restriction enzyme mapping, amplification of DNA segments by PCR, and lipid analysis by chromatography. Additionally, you will visit a variety of biological laboratories to observe actual research projects.

Prerequisite: Background in Chemistry and Biology is strongly recommended.

In this program you will be introduced to a variety of biochemical and molecular biological laboratory techniques. These will include DNA analysis by restriction enzyme mapping, amplification of DNA segments by PCR, and lipid analysis by chromatography. Additionally, you will visit a variety of biological laboratories to observe actual research projects.

Prerequisite: Background in Chemistry and Biology is strongly recommended.

In this program you will be introduced to a variety of biochemical and molecular biological laboratory techniques. These will include DNA analysis by restriction enzyme mapping, amplification of DNA segments by PCR, and lipid analysis by chromatography. Additionally, you will visit a variety of biological laboratories to observe actual research projects.

Prerequisite: Background in Chemistry and Biology is strongly recommended.

Gain a broad understanding of surgery, including historical milestones in the field, surgical anatomy, pre- and post- operative patient care, subspecialties within the field, and surgical technology. Complete daily modules, including lecture content and activities, such as a fetal pig dissection, which provide opportunities to apply your understanding of course materials. This program is designed to engage your interest in a diverse set of medical careers ranging from surgery and nursing to biomedical engineering.

Prerequisite: Background in Biology is strongly recommended.

Gain a broad understanding of surgery, including historical milestones in the field, surgical anatomy, pre- and post- operative patient care, subspecialties within the field, and surgical technology. Complete daily modules, including lecture content and activities, such as a fetal pig dissection, which provide opportunities to apply your understanding of course materials. This program is designed to engage your interest in a diverse set of medical careers ranging from surgery and nursing to biomedical engineering.

Prerequisite: Background in Biology is strongly recommended.

Gain a broad understanding of surgery, including historical milestones in the field, surgical anatomy, pre- and post- operative patient care, subspecialties within the field, and surgical technology. Complete daily modules, including lecture content and activities, such as a fetal pig dissection, which provide opportunities to apply your understanding of course materials. This program is designed to engage your interest in a diverse set of medical careers ranging from surgery and nursing to biomedical engineering.

Prerequisite: Background in Biology is strongly recommended.

Learn the basic knowledge and techniques related to surgery, internal medicine, pediatrics, emergency medicine, and biomedical science by participating in interactive lectures and labs, including a fetal pig dissection. You and your fellow high-school students will explore new aspects of this critical field at one of the nation’s leading institutions as you are taught and guided by experts in the field of medicine.

Prerequisite: Background in Biology is strongly recommended.

Learn the basic knowledge and techniques related to surgery, internal medicine, pediatrics, emergency medicine, and biomedical science by participating in interactive lectures and labs, including a fetal pig dissection. You and your fellow high-school students will explore new aspects of this critical field at one of the nation’s leading institutions as you are taught and guided by experts in the field of medicine.

Prerequisite: Background in Biology is strongly recommended.

Learn the basic knowledge and techniques related to surgery, internal medicine, pediatrics, emergency medicine, and biomedical science by participating in interactive lectures and labs, including a fetal pig dissection. You and your fellow high-school students will explore new aspects of this critical field at one of the nation’s leading institutions as you are taught and guided by experts in the field of medicine.

Prerequisite: Background in Biology is strongly recommended.

In epidemiology, public health scientists use quantitative and analytic tools examine to the distribution of disease across the population and to identify the various factors that shape these patterns. This course will explore how epidemiologic tools can be used to interrogate the social and structural factors that create health disparities in society. Students will learn about key social determinants of health (including class, race, and gender), the various pathways by which social experiences “get under the skin” to impact physiologic disease states, and how epidemiologists investigate these processes through population-based research. Students will leave the course with an understanding of the ways public health professionals and community members alike can use this public health research to develop policies and programs that protect the health of vulnerable groups and reduce inequality.