Accelerate your entry into college life in a fast-paced environment while earning academic credit from a top university.

Filter your search by area of study, location, and date range. Qualified pre-college students may also consider the undergraduate courses listed below.

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Creative Writing - AS.220.138

Pre-College students July 8 - July 19 Online
1 Credit Status: Open Save this Course View Saved Courses

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 self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.

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.)

Duration
2 weeks
Area of Study
Department
Writing Seminars
Class Schedule
Monday
Self-paced
Tuesday
Self-paced
Wednesday
Self-paced
Thursday
Self-paced
Friday
Self-paced

Data Analytics Workshop - AS.110.100

Pre-College students June 24 - July 5 Online
1 Credit Status: Open Save this Course View Saved Courses

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 self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Instructor
Zoll, Aaron
Class Schedule
Monday
Self-paced
Tuesday
Self-paced
Wednesday
Self-paced
Thursday
Self-paced
Friday
Self-paced

Data Analytics Workshop - AS.110.100

Pre-College students July 8 - July 19 Online
1 Credit Status: Open Save this Course View Saved Courses

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 self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Instructor
Zoll, Aaron
Class Schedule
Monday
Self-paced
Tuesday
Self-paced
Wednesday
Self-paced
Thursday
Self-paced
Friday
Self-paced

Data Analytics Workshop - AS.110.100

Pre-College students July 22 - August 2 Online
1 Credit Status: Open Save this Course View Saved Courses

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 self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Instructor
Zoll, Aaron
Class Schedule
Monday
Self-paced
Tuesday
Self-paced
Wednesday
Self-paced
Thursday
Self-paced
Friday
Self-paced

Death from Above: Weaponized Drones and Persistent Surveillance - AS.190.234

Pre-College students & Undergraduate students May 28 - June 28 Homewood Campus
3 Credits Status: Open Save this Course View Saved Courses

For all the controversy surrounding the use of drones in domestic and international operations, the ramifications of their deployment are not yet clear. This course explores the theoretical and political implications stemming from the introduction of drones into various geopolitical spaces. Most simply put, we will be asking what it means to project power without vulnerability. More specifically, we will draw from recent scholarship from a variety of fields to analyze different use cases, geographic theaters, and short- and long-term impacts of their deployment. Issues of asymmetry, surveillance, precision, civilians/enemy combatants, vulnerability, chains of command, and agency will be central to our study.

Please note: on Wednesdays, this course only meets from 10:30 am to 12:30 pm.

Duration
5 weeks
Area of Study
Department
Political Science
Instructor
Phillips, Charles
Class Schedule
Tuesday
10:30 AM-2:30PM
Wednesday
10:30 AM-2:30PM
Thursday
10:30 AM-2:30PM

Differential Equations with Applications - AS.110.302

Pre-College students & Undergraduate students June 3 - July 26 Online
4 Credits Status: Open Save this Course View Saved Courses

This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics.

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 a 5 on the AP BC exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded for viewing at any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
Department
Mathematics
Instructor
Marshburn, Nicholas

Early Modern Europe & the Wider World - AS.100.103

Pre-College students & Undergraduate students July 1 - August 2 Homewood Campus
3 Credits Status: Open Save this Course View Saved Courses

This survey course examines the history of Europe from the early sixteenth to the late eighteenth centuries. Topics to be examined include the Reformations and religious wars, curiosity, contact and conquest of non-European lands, the rise of modern bureaucratic states, the emergence of popular sovereignty as a political criterion, the new science, as well as expanding literacy and consumption.

Duration
5 weeks
Area of Study
Department
History
Instructor
Loiselle, Kenneth
Class Schedule
Tuesday
1:00 PM-4:30 PM
Thursday
1:00 PM-4:30 PM

Elementary Number Theory - AS.110.304

Pre-College students & Undergraduate students June 3 - July 26 Online
4 Credits Status: Open Save this Course View Saved Courses

The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes.

Prerequisite: Grade of C- or better in AS.110.201 (Linear Algebra) or AS.110.212 (Honors Linear Algebra).

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded for viewing at any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
Department
Mathematics
Instructor
Marshburn, Nicholas

Elements of Macroeconomics - AS.180.101

Pre-College students & Undergraduate students May 28 - June 28 Online
3 Credits Status: Open Save this Course View Saved Courses

This course introduces the basic tools of macroeconomics and teaches how they are applied to real world economic policy. Throughout the course, the main goals will be to a) study economic aggregates such as the overall price level, the unemployment rate, and the GDP, and b) understand how they relate to each other. Attention will be given to fiscal and monetary policies. We will also analyze the recent COVID crisis and its impact on the economic activity.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
Department
Economics
Instructor
Kodua, Nino

Elements of Microeconomics - AS.180.102

Pre-College students & Undergraduate students May 28 - June 28 Online
3 Credits Status: Open Save this Course View Saved Courses

An introduction to the economic system and economic analysis with emphasis on demand and supply, relative prices, the allocation of resources, and the distribution of goods and services, theory of consumer behavior, theory of the firm, and competition and monopoly, including the application of microeconomic analysis to contemporary problems.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
Department
Economics
Instructor
Zheng, Xudong

Epidemics, Pandemics, and Outbreaks - AS.360.146

Pre-College students July 8 - July 19 Online
1 Credit Status: Open Save this Course View Saved Courses

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 self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.

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.

Duration
2 weeks
Area of Study
Department
Interdepartmental
Class Schedule
Monday
Self-paced
Tuesday
Self-paced
Wednesday
Self-paced
Thursday
Self-paced
Friday
Self-paced

Error and Chaos in Military History - AS.100.141

Pre-College students & Undergraduate students July 1 - August 2 Homewood Campus
3 Credits Status: Open Save this Course View Saved Courses

What does the aphorism that “war is hell” mean in practical terms? The course will serve as a deconstructive introduction to military history, overviewing soldiers’ and generals’ experiences of historically significant military disasters. Students will also be guided through the creation of a research paper on a conflict of their own choosing.

Duration
5 weeks
Area of Study
Department
History
Instructor
Bentov, Achinoam
Class Schedule
Monday
1:00 PM-4:45 PM
Wednesday
1:00 PM-4:45 PM

Exploring the Universe with Space Telescopes - AS.171.135

Pre-College students July 8 - July 18 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Physics & Astronomy
Class Schedule
Monday
9:30 AM-4:00 PM
Tuesday
9:30 AM-4:00 PM
Wednesday
9:30 AM-4:00 PM
Thursday
9:30 AM-4:00 PM
Friday
9:30 AM-4:00 PM

Exploring the Universe with Space Telescopes - AS.171.135

Pre-College students July 22 - August 1 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Physics & Astronomy
Class Schedule
Monday
9:30 AM-4:00 PM
Tuesday
9:30 AM-4:00 PM
Wednesday
9:30 AM-4:00 PM
Thursday
9:30 AM-4:00 PM
Friday
9:30 AM-4:00 PM

Exploring the Universe with Space Telescopes - AS.171.135

Pre-College students June 24 - July 4 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Physics & Astronomy
Class Schedule
Monday
9:30 AM-4:00 PM
Tuesday
9:30 AM-4:00 PM
Wednesday
9:30 AM-4:00 PM
Thursday
9:30 AM-4:00 PM
Friday
9:30 AM-4:00 PM

Financial Accounting - EN.660.203

Pre-College students & Undergraduate students May 28 - August 2 Online
3 Credits Status: Open Save this Course View Saved Courses

The course in Financial Accounting is designed for anyone who could be called upon to analyze and/or communicate financial results and/or make effective financial decisions in a for-profit business setting. No prior accounting knowledge or skill is required for successful completion of this course. Because accounting is described as the language of business, this course emphasizes the vocabulary, methods, and processes by which all business transactions are communicated. The accounting cycle, basic business transactions, internal controls, and preparation and understanding of financial statements including balance sheets, statements of income and cash flows are covered. No audits.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
10 weeks
Area of Study
Department
EN Center for Leadership Education
Instructor
Aronhime, Lawrence

Foundational Mathematics of Artificial Intelligence - AS.110.110

Pre-College students June 24 - July 4 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Class Schedule
Monday
9:30AM-4:00PM
Tuesday
9:30AM-4:00PM
Wednesday
9:30AM-4:00PM
Thursday
9:30AM-4:00PM
Friday
9:30AM-4:00PM

Foundational Mathematics of Artificial Intelligence - AS.110.110

Pre-College students July 8 - July 18 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Class Schedule
Monday
9:30AM-4:00PM
Tuesday
9:30AM-4:00PM
Wednesday
9:30AM-4:00PM
Thursday
9:30AM-4:00PM
Friday
9:30AM-4:00PM

Foundational Mathematics of Artificial Intelligence - AS.110.110

Pre-College students July 22 - August 1 Homewood Campus
1 Credit Status: Open Save this Course View Saved Courses

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.

Duration
2 weeks
Area of Study
Department
Mathematics
Class Schedule
Monday
9:30AM-4:00PM
Tuesday
9:30AM-4:00PM
Wednesday
9:30AM-4:00PM
Thursday
9:30AM-4:00PM
Friday
9:30AM-4:00PM

Foundations of American Enterprise - EN.660.105

Pre-College students & Undergraduate students May 28 - August 2 Online
3 Credits Status: Open Save this Course View Saved Courses

Formerly Introduction to Business, this course is designed as an overview comprising three broad categories: the economic, financial, and corporate context of business activities; the organization and management of business enterprises; and, the marketing and production of goods and services. Topic specific readings, short case studies and financial exercises all focus on the bases for managerial decisions as well as the long and short-term implications of those decisions in a global environment. No audits.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
10 weeks
Area of Study
Department
EN Center for Leadership Education
Instructor
Aronhime, Lawrence

Gateway Computing: JAVA - EN.500.112

Pre-College students & Undergraduate students July 1 - August 2 Homewood Campus
3 Credits Status: Open Save this Course View Saved Courses

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).

Duration
5 weeks
Area of Study
Department
EN General Engineering
Instructor
Sekyonda, Ivan
Class Schedule
Monday
9:00 AM-12:00 PM
Wednesday
9:00 AM-12:00 PM
Friday
9:00 AM-12:00 PM

Gateway Computing: Python - EN.500.113

Pre-College students & Undergraduate students May 28 - June 28 Homewood Campus
3 Credits Status: Open Save this Course View Saved Courses

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).

Duration
5 weeks
Area of Study
Department
EN General Engineering
Instructor
Kutten, Kwame
Class Schedule
Monday
12:00 PM-3:00 PM
Wednesday
12:00 PM-3:00 PM
Friday
12:00 PM-3:00 PM

General Biology I - AS.020.151

Pre-College students & Undergraduate students May 28 - June 28 Online
3 Credits Status: Open Save this Course View Saved Courses

This course is an introduction to biology from an evolutionary, molecular, and cellular perspective. Specific topics and themes include evolutionary theory, the structure and function of biological molecules, mechanisms of harvesting energy, cell division, classical genetics, and gene expression. This section will involve in-class problem solving and the use of assigned pre-class videos and questions.

Prerequisite: AP Biology.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
Department
Biology

General Biology II - AS.020.152

Pre-College students & Undergraduate students July 1 - August 2 Online
3 Credits Status: Open Save this Course View Saved Courses

This course builds on the concepts presented and discussed in General Biology I. The primary foci of this course will be on the diversity of life and on the anatomy, physiology, and evolution of plants and animals. There will be a special emphasis on human biology.

Prerequisite: AP Biology.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
Department
Biology

Honors Algebra II - AS.110.412

Pre-College students & Undergraduate students June 3 - July 26 Online
4 Credits Status: Open Save this Course View Saved Courses

This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals.

Prerequisite: C- or better in AS.110.411 (Honors Algebra I) or equivalent.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded for viewing at any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
Department
Mathematics

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