Summer Term Undergraduate Courses

An introduction to basic concepts, techniques, and major computer software packages in applied statistics and data analysis. Topics include numerical descriptive statistics, observations and variables, sampling distributions, statistical inference, linear regression, multiple regression, design of experiments, nonparametric methods, and sample surveys. Real-life data sets are used in lectures and computer assignments. Intensive use of statistical packages such as R to analyze data.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 10 a.m. and 12:45 p.m.

Prerequisite: EN.553.112 (Stastical Analysis II) OR EN.553.310 (Probability & Stastics for Phyisical Sciences & Engineering) OR EN.553.311 (Intermediate Probability & Stastistics) OR EN.553.420 (Probability) OR EN.553.421 (Honors Introduction to Probability).

Students may receive credit for EN.550.413/EN.553.413 (Applied Stastics & Data Analysis I) or EN.553.613 Applied Stastics & Data Analysis I--graduate degree version), but not both.

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.

This course is scheduled to run Tuesday and Thursday between 1 p.m. and 4:45 p.m.

Prerequisite: AS.200.141 (Foundations of Brain, Behavior and Cognition) or AS.080.306 (Neuroscience: Cellular & 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 scheduled to run Monday through Friday between 9 a.m. and 11:30 a.m.

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.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 9 a.m. and 11:30 a.m.

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.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 1 p.m. and 3:30 p.m.

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.

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.

This course is scheduled to run Tuesday, Wednesday, and Thursday between 10:30 a.m. and 2:30 p.m.

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

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. 

This course is scheduled to run Tuesday, Wednesday, and Thursday between 9 a.m. and 11:30 a.m.

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. 

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 10 a.m. and 12:45 p.m.

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.

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.

This course is scheduled to run Tuesday and Thursday between 1 p.m. and 4:30 p.m.

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.

This course is scheduled to run Monday and Wednesday between 1 p.m. and 4:45 p.m.

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.

This course is scheduled to run Monday, Wednesday, and Friday between 9 a.m. and 12 p.m.

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.

This course is scheduled to run Monday, Wednesday, and Friday between 12 p.m. and 3 p.m.

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.

This course is scheduled to run Monday through Friday between 9 a.m. and 11:30 a.m.

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. 

This course is scheduled to run Monday through Friday between 9 a.m. and 11:30 a.m.

Recommended Course Background: C- or better in AS.171.101 (General Physics: Physical Science Major I) OR AS.171.103 (General Physics/Biology Majors II) or AS.171.105 (Classical Mechanics 1) OR AS.171.107 [General Physics for Physical Science Majors (AL) I] OR or the first semester of EN.530.123 (Introduction to Mechanics I).

Prerequisite: Students must have taken or be concurrently enrolled in 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).

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.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 1 p.m. and 4 p.m.

Prerequisite: Students must have taken or be concurrently enrolled in either AS.171.101 (General Physics: Physical Science Majors I) OR AS.171.103 (General Physics I for Biology Majors) OR AS.171.105 (Classical Mechanics I) OR AS.171.107 [General Physics for Physical Science Majors (AL) I]. 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.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 1 p.m. and 4 p.m.

Prerequisites: Students must have completed or be concurrently enrolled in either AS.171.102 (General Physics: Physical Science Majors II) OR AS.171.104 (General Physics: Biology Majors II) OR AS.171.106 Electricity & Magnetism I) OR AS.171.108 [General Physics for Physical Science Majors (AL) II] OR EN.530.123 (Classical Mechanics I). 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.

An introduction to probability and statistics at the calculus level, intended for students in the biological sciences planning to take only one course on the topics. This course will be at the same technical level as EN.553.310. Students are encouraged to consider EN.553.420-430 instead. Combinatorial probability, independence, conditional probability, random variables, expectation and moments, limit theory, estimation, confidence intervals, hypothesis testing, tests of means and variances, and goodness-of-fit will be covered. Students cannot receive credit for both EN.553.310 and EN.553.311. Students cannot receive credit for EN.553.311 after having received credit for EN.553.420 or En.553.430. Recommended Course Corequisite: AS.110.202.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 10 a.m. and 12:45 p.m.

Prerequisite: AS.110.109 (Calculus II For Physical Sciences and Engineering) or AS.110.113 (Honors Single Variable Calculus).

Statistics Sequence restriction: Students who have completed any of these courses may not register: EN.553.310 (Probability & Statistics for the Physical Sciences and Engineering) or EN.553.420 (Introduction to Probability) or EN.553.421 (Honors Introduction to Probability) or EN.553.430 (Introduction to Statistics) or EN.560.348 (Probability & Statistics in Civil Engineering).

Recent scientific evidence shows that our brain has a great deal of malleability at any age and that our lifestyle choices play an important role in shrinking or growing different parts of our brain. Factors such as poor sleep, obesity, anxiety, and poor diet lead to accumulating shrinkage in the brain while even three months of exercise, brain training, meditation, and optimal sleep can grow the brain. You can learn to apply these new discoveries into your day-to-day life in order to improve your memory, attention, organizational skills, and overall brain vitality. Much of your learning in this course will happen during classes. Each lecture is followed by a 10-minute engaging and fun discussion session to make sure you have grasped the main concepts for that presentation.

This course is scheduled to run Monday, Wednesday, and Friday between 10 a.m. and 12:30 p.m.

This course will provide a fundamental understanding of the mammalian nervous system, with an emphasis on how molecules, cells, circuits, and systems in the brain work to promote behavior and cognition. Topics covered in this course include the function of nerve cells, signaling between brain networks, basic neuroanatomy, and the neural bases of movement, sensation, and memory. This course is designed for any student who has an interest in the range of disciplines we call neuroscience.

This course is scheduled to run Monday through Friday between 1 p.m. and 2:30 p.m.

Novel developments in the field of artificial intelligence have recently delivered staggering improvements nearly in any field imaginable. Machine learning models which detect and classify latent features of text, image and sound helped us read ancient scrolls we have not been able to read, improve cancer detection techniques and design better self-driving cars. Machine learning models also became better at producing new text, image and sound. ChatGPT is reaching level of competence which urges us to watermark its output and Dall-E is recreating any image to text in any style requested. The complexity of these models rivals and even surpasses their human counterparts at times. At other times, however, these models also behave shockingly incompetently. Self-driving cars struggle with unfamiliar situations, which give rise from absurd to dangerous situations. The detection models perform significantly worse on groups of individuals lying outside their training data. ChatGPT4 does not sound less confident when it makes up an answer than when it provides accurate information. These failures range from being merely amusing to threatening the very existence of humanity. With its promises of new heights and threats of new lows, machine-learning-based AI raises new and hard ethical issues. This course aims to introduce you both to the basic concepts in machine-learning-based AI as well as the hard ethical questions they raise from a philosophical perspective.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 12 p.m. and 2 p.m.

A writing-intensive course (W) engages students in multiple writing projects, ranging from traditional papers to a wide variety of other forms, distributed throughout the term. Assignments include a mix of high and low stakes writing, meaning that students have the chance to write in informal, low-pressure--even ungraded--contexts, as well as producing larger, more formal writing assignments. Students engage in writing in the classroom through variety of means, including class discussions, workshop, faculty/TA lectures, and class materials (for instance, strong and weak examples of the assigned genre). Expectations are clearly conveyed through assignment descriptions, including the genre and audience of the assigned writing, and evaluative criteria. Students receive feedback on their writing, in written and/or verbal form, from faculty, TAs, and/or peers. Students have at least one opportunity to revise.

The digital design course explores two-dimensional graphics as visual communication. Students will be introduced to basic design principles and elements, learn graphics tools used in the design industry, and develop and apply creative strategies to solve design problems in their everyday lives. This unique course will address the students’ direct needs through real-life design problems they face. Students will be asked to bring design challenges and tackle the issue both independently and collaboratively. Design challenges may include building print and web visual presentations, producing information brochure and posters, developing off and online portfolios, creating a resume to business cards. The course will offer both analog and digital design processes, graphics software tutorials and techniques, and basic introduction to design history, vocabulary and concepts. Attendance in first class is mandatory.

This course is scheduled to run Tuesday and Wednesday between 10 a.m. and 1:30 p.m.

Watercolor is simultaneously the most accessible of all painting media and the most misunderstood. This course provides experience and instruction in observational and expressive watercolor techniques, materials, concepts, and vocabulary. Topics to be reviewed include line, perspective, value, texture,composition, color, and pictorial space. There will be an introduction to contemporary practices in watercolor, as well as experimental and abstract exercises, collage, and conceptual work.

This course is scheduled to run Tuesday and Wednesday between 10:30 a.m. and 2 p.m.

The fundamental principles of chemistry, including atomic and molecular structure, bonding, elementary thermodynamics, equilibrium and acids and bases, are introduced in this course. Can be taken with Introductory Chemistry Laboratory – I unless lab has been previously completed. Note: Students taking this course and Laboratory 030.105 may not take any other courses in the summer sessions at the same time and should devote their full time to these subjects. High school physics and calculus are strongly recommended as prerequisites. First and second terms must be taken in sequence. Students not enrolled in college (unless they are rising freshmen) may not take this course.

This course is scheduled to run Monday, Tuesday, Thursday, and Friday between 9:30 a.m. and 12 p.m.

Continuation of AS.030.101 emphasizing chemical kinetics, chemical bonding. Topics: energy levels and wave functions for particle-in-a-box and hydrogen atom and approximate wave functions for molecules including introduction to hybrid orbitals. Note: Students taking this course and Laboratory 030.105-106 may not take any other course in the summer sessions at the same time and should devote their full time to these subjects. High school physics and calculus are strongly recommended as prerequisites. First and second terms must be taken in sequence.

This course is scheduled to run Monday, Tuesday, Thursday, and Friday between 9 a.m. and 11:30 a.m.

Prerequisite: AS.030.101 (Introductory Chemistry I). Students enrolled in AS.030.103 (Applied Chemical Equilibrium and Reactivity with Lab) may not enroll in or receive credit for AS.030.102.

Laboratory work includes quantitative analysis and the measurement of physical properties. Open only to those who are registered for or have successfully completed Introductory Chemistry 030.101.

This course is scheduled to run Monday, Tuesday, and Thursday between 1 p.m. and 4 p.m.

Prerequisites: Students must have completed or be enrolled in AS.030.101 (Introductory Chemistry I) or EN.510.101 (Introduction to Materials Chemistry) in order to register for AS.030.105. 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.