On-Campus Pre-College Summer Programs

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.

Prerequisite: Background in Biology is strongly recommended.

Required Text: There is a required textbook. Details about the materials you need are available within your course syllabus and the Summer at Hopkins organization Canvas site.

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.

Prerequisite: Background in Biology is strongly recommended
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Required Text: There is a required textbook. Details about the materials you need are available within your course syllabus and the Summer at Hopkins organization Canvas site.

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.

Prerequisite: Background in Biology is strongly recommended.

Required Text: There is a required textbook. Details about the materials you need are available within your course syllabus and the Summer at Hopkins organization Canvas site.

This course examines both the evolution and mechanisms of hormonal effects on behavior across animals, including humans. Topics will include the effects of hormones on sexual differentiation, reproductive behavior, parental behavior, stress, and social behavior. Additionally, this course emphasizes developing skills in hypothesis testing and critically assessing the scientific literature. Cross-listed with Behavioral Biology and Neuroscience.

Prerequisite: AS.200.141 (Foundations of Brain, Behavior and Cognition) or AS.080.306 (Neuroscience: Cellular and Systems II) or AS.020.152 (General Biology II) or instructor's permission.

The molecules responsible for the life processes of animals, plants, and microbes will be examined. The structures, biosynthesis, degradation, and interconversion of the major cellular constituents, including carbohydrates, lipids, proteins, and nucleic acids, will illustrate the similarity of the biomolecules and metabolic processes involved in diverse forms of life.

This course is open to Sophomores, Juniors, and Seniors only.

Prerequisite: AS.030.205 (Introductory Organic Chemistry I) or AS.030.212 (Honors Organic Chemistry II with Applications in Biochemistry or Medicine) or EN.540.202 (Introduction to Chemical & Biological Process Analysis); the prerequisite may be taken concurrently with AS.020.305.

Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines.

Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.

Prerequisite: Grade of C- or better in AS.110.107 (Calculus II For Biological and Social Science) or AS.110.109 (Calculus II For Physical Sciences and Engineering) or AS.110.113 (Honors Single Variable Calculus) or AS.110.201 (Linear Algebra) or AS.110.212 (Honors Linear Algebra) or AS.110.302 (Differential Equations and Applications), or a 5 on the AP BC exam.

In this academic writing course, students will analyze and evaluate sources about enslaved Black midwives, nurses, and Black women whose medical practices and bodies were deemed inferior and flawed yet provided foundational knowledge for white practitioners in the mid-1800s. Over the course, students will practice critical reading and writing through summarizing, analyzing, evaluating, and synthesizing ideas to increase their agency as writers and researchers. This course aims to enable students to write not simply what they know but as a means of inquiry. 

A writing-intensive (W) course is one in which students complete at least 20 pages of finished writing, distributed over multiple assignments, usually 3 or 4 papers, throughout the term. For Johns Hopkins University undergraduates, Decoding College Writing: Black Midwives and American Gynecology counts towards the 12 required credit hours of writing intensive courses.

Introduction to the mathematics of finite systems. Logic; Boolean algebra; induction and recursion; sets, functions, relations, equivalence, and partially ordered sets; elementary combinatorics; modular arithmetic and the Euclidean algorithm; group theory; permutations and symmetry groups; graph theory. Selected applications. The concept of a proof and development of the ability to recognize and construct proofs are part of the course. 

Prerequisite: EN.553.171 may not be taken after EN.553.471 (Combinatorial Analysis), EN.553.472 (Graph Theory), EN.553.671 (Combinatorial Analysis), or EN.553.672 (Graph Theory).

Corequisites: EN.553.171 may not be taken concurrently with EN.553.471, EN.553.472, EN.553.671, or EN.553.672.

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.

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.

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.

This course introduces fundamental programming concepts and techniques, and is intended for all who plan to develop computational artifacts or intelligently deploy computational tools in their studies and careers. Topics covered include the design and implementation of algorithms using variables, control structures, arrays, functions, files, testing, debugging, and structured program design. Elements of object-oriented programming. algorithmic efficiency and data visualization are also introduced. Students deploy programming to develop working solutions that address problems in engineering, science and other areas of contemporary interest that vary from section to section. Course homework involves significant programming. Attendance and participation in class sessions are expected.

Prerequisite: Students may not have earned credit in the following courses: EN.500.113 (Gateway Computing: Python), EN.500.114 (Gateway Computing: Matlab), EN.500.202 (Computation and Programming for Materials Scientists and Engineers), EN.500.132 (Bootcamp: JAVA), EN.500.133 (Bootcamp: Python), or EN.500.134 (Bootcamp: Matlab).

This course introduces fundamental programming concepts and techniques, and is intended for all who plan to develop computational artifacts or intelligently deploy computational tools in their studies and careers. Topics covered include the design and implementation of algorithms using variables, control structures, arrays, functions, files, testing, debugging, and structured program design. Elements of object-oriented programming. algorithmic efficiency and data visualization are also introduced. Students deploy programming to develop working solutions that address problems in engineering, science and other areas of contemporary interest that vary from section to section. Course homework involves significant programming. Attendance and participation in class sessions are expected.

Prerequisite: Students may not have earned credit in the following courses: EN.500.112 (Gateway Computing: JAVA), EN.500.114 (Gateway Computing: Matlab), EN.500.202 (Computation and Programming for Materials Scientists and Engineers), EN.500.132 (Bootcamp: JAVA), EN.500.132 (Bootcamp: JAVA), or EN.500.134 (Bootcamp: Matlab).

This two-semester sequence in general physics is identical in subject matter to AS.171.101-AS.171.102, covering mechanics, heat, sound, electricity and magnetism, optics, and modern physics, but differs in instructional format. Rather than being presented via lectures and discussion sections, it is instead taught in an "active learning" style with most class time given to small group problem-solving guided by instructors. Midterm exams for every section are given during the 8 AM section time! Accordingly, students registering for sections at times other than 8 AM must retain availability for 8 AM sections as needed.

Recommended Corequisites: AS.173.111 (General Physics Laboratory I) AND either AS.110.106 (Calculus I For Biology and Social Sciences) or AS.110.108 (Calculus I For Physical Sciences and Engineering) or AS.110.113 (Honors Single Variable Calculus).

This two-semester sequence in general physics is identical in subject matter to AS.171.101-AS.171.102, covering mechanics, heat, sound, electricity and magnetism, optics, and modern physics, but differs in instructional format. Rather than being presented via lectures and discussion sections, it is instead taught in an "active learning" style with most class time given to small group problem-solving guided by instructors. 

Prerequisite: AS.110.107 (Calculus II for Biology and Social Sciences) OR AS.110.109 (Calculus II for Physical Sciences and Engineering) OR AS.110.211 (Honors Multivariable Calculus) OR AS 110.113 (Honors Single Variable Calculus) can be taken as the prerequisite to or concurrently with AS.171.108.

Experiments performed in the lab provide further illustration of the principles discussed in General Physics. While this lab course lab is not required as a co-requisite of the corresponding General Physics lecture course it is strongly recommended. Note: First and second terms must be taken in sequence.

Prerequisite: Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter 458083 in the Search box to locate the appropriate module

Experiments performed in the lab provide further illustration of the principles discussed in General Physics. While this lab course lab is not required as a co-requisite of the corresponding General Physics lecture course it is strongly recommended. Note: First and second terms must be taken in sequence.

Prerequisites: Students must have completed either AS.171.101 (General Physics: Physical Science Majors I) or AS.171.102 (General Physics: Physical Science Majors II) or AS.171.104 (General Physics: Biology Majors II) or AS.171.106 (Electricity and Magnetism I) or AS.171.108 [General Physics for Physical Science Majors (AL)]. Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter 458083 in the Search box to locate the appropriate module.

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.

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.

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.

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.

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