Summer Term Undergraduate Courses

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

This course is scheduled to run Monday, Tuesday, Wednesday, and Thursday, between 9 a.m. and 11:30 a.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.110.202 (Calculus II) or AS.110.302 (Differential Equations and Applications), or a 5 on the AP BC exam.

An introduction to the basic concepts of linear algebra, matrix theory, and differential equations that are used widely in modern engineering and science. Intended for engineering and science majors whose program does not permit taking both AS.110.201 and AS.110.302.

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

Prerequisite: 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).

This course provides an introduction to mathematical reasoning and discrete structures relevant to computer science. Topics include propositional and predicate logic, proof techniques including mathematical induction, sets, relations, functions, recurrences, counting techniques, simple computational models, asymptotic analysis, discrete probability, graphs, trees, and number theory.

This course is scheduled to run Monday, Tuesday, Thursday, and Friday between 9 a.m. and 11:45 a.m.

Students may not enroll if they have taken EN.601.231 (Automata and Computation Theory).

Prerequisite: EN.500.112 (Gateway Computing: Java) OR EN.500.113 (Gateway Computing: Python) OR EN.500.114 (Gateway Computing: Matlab) OR EN.500.132 (Bootcamp: Java) OR EN.500.133 (Bootcamp: Python) OR EN.500.134 (Bootcamp: Matlab) OR EN.601.220 (Intermediate Programming).

Mathematics for Sustainability covers topics in measurement, probability, statistics, dynamics, and data analysis. In this course, students will analyze, visually represent, and interpret large, real data sets from a variety of government, corporate, and non-profit sources. Through local and global case studies, students will engage in the mathematics behind environmental sustainability issues and the debates centered on them. Topics include climate change, natural resource use, waste production, air and water pollution, water scarcity, and decreasing biodiversity. The software package R is used throughout the course.

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

Prerequisites: Comfort with algebraic expressions and functions. No prior experience in coding is required.

This course will provide an overview of neuroaesthetics: the study of how the arts and aesthetic experiences measurably change the body, brain, and behavior and how this knowledge is translated into specific practices that advance health and wellbeing. The course will provide students with the foundations and theories of neuroaesthetics including the history of neuroaesthetics, the basic neurobiology of the senses, neuroanatomy and mechanisms of brain structure involved in the arts and aesthetics. The course will also take a deep dive into the book, Your Brain on Art, highlighting interactive case studies, immersive creative activities, and discussions with experts from the field.

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

Prequisite: AS.080.306 (Nueroscience: Cellular & Systems II) OR AS.200.141 (Foundations of Brain, Behavior and Cognition).

Continuation of AS.030.205 Organic Chemistry I with special emphasis on organic synthesis and related synthetic methods. Students may not simultaneously enroll for AS.030.212 and AS.030.206.

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

Prerequisite: AS.030.205 (Introductory Organic Chemistry I).

This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient.

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

Probability and its applications, at the calculus level. Emphasis on techniques of application and on rigorous mathematical demonstration. Probability, combinatorial probability, random variables, distribution functions, important probability distributions, independence, conditional probability, moments, covariance and correlation, limit theorems. Students initiating graduate work in probability or statistics should enroll in EN.553.620 or EN.553.720. Prerequisites: one year of calculus. Corequisites: multivariable calculus and linear algebra.

Students who have received credit for AS.110.106 and/or AS.110.107 taken prior to Fall 2020 should contact the course instructor to determine whether they can receive permission to register for this course.

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

Prerequisites: AS.110.107 (Calculus II For Biological and Social Science) or AS.110.109 (Calculus II For Physical Sciences & Engineering) or AS.110.113 (Honors Single Variable Calculus). AS.110.201 (Linear Algebra) or AS.110.202 (Calculus III) or AS.110.211 (Honors Multivariable Calculus) OR AS.110.212 (Honors Linear Algebra) must also be taken prior to EN.553.310 or concurrently.

This is an introduction to statistics aimed at students in the life sciences. The course will provide the necessary background in probability with treatment of independence, Bayes theorem, discrete and continuous random variables and their distributions. The statistical topics covered will include sampling and sampling distributions, confidence intervals and hypothesis testing for means, comparison of populations, analysis of variance, linear regression and correlation. Analysis of data will be done using Excel.

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

Prerequisite: 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 (Single Multivariable Calculus).

Statistics Sequence restriction: Students who have completed any of these courses may not register: EN.550.230 (Introduction to Biostatistics) OR AS.280.345 (Public Health Biostatistics) OR AS.200.314 (Advanced Statistical Methods) OR EN.550.310 (Probability & Statistics) OR EN.550.311 (Probability and Statistics for the Biological Sciences and Engineering) OR EN.550.420 (Introduction to Probability) OR EN.550.430 (Introduction to Statistics) OR EN.560.348 (Probability & Statistics in Civil Engineering).

This course looks at the evolution of the universe from its origin in a cosmic explosion to emergence of life on Earth and possibly other planets throughout the universe. Topics include big-bang cosmology; origin and evolution of galaxies, stars, planets, life, and intelligence; black holes; quasars; and relativity theory. The material is largely descriptive, based on insights from physics, astronomy, geology, chemistry, biology, and anthropology.

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

Students will develop a working knowledge of the characteristics that have been identified through research as being important in effective college transitions. Using practical and theoretical objectives, the course will explore the relevance of developmental and positive psychological processes as they apply in academic and social settings and provide theory-based research approaches for thriving in college and beyond. The developmental period of emerging adulthood (ages 18-25) will be discussed with a primary focus on cognitive, moral, and identity development theories. Students also will gain an understanding of what contributes to thriving and how to build the enabling conditions of a life worth living. The developmental theories and central concepts in positive psychology will provide students with a foundation to navigate college academic expectations and equip them with the attitudes, skills, and resources needed to function optimally and excel in college.

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

This course examines the politics and policies that shape the production and consumption of food. Topics include food security, obesity, crop and animal production, and the impacts of agriculture on climate change. We will also consider the vulnerabilities of our food system to challenges such as the Covid-19 pandemic, as well as efforts to transform food and agriculture through new food technologies and grass-roots movements to create a more democratic food system.

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

Students who have completed AS.190.405 (Food Politics) may not enroll in this class.