My coursework

This is the second semester of the accelerated calculus sequence. The theory and applications of sequences and infinite series, including those involving functions of one variable, and an introduction to the theory and applications of differential and integral calculus of functions of several variables; subjects include methods of integration, parametric equations, sequences, infinite series, power series, functions of several variables, partial derivatives, and multiple integrals. Three lecture hours and two discussion hours a week for one semester.

Explore fundamental concepts for AI literacy, as well as the ethical and societal implications of AI technologies. Taught as a Web-based course.

A general survey of physics; primarily laws of motion, heat, and wave phenomena. Three lecture hours and one discussion hour a week for one semester.

Covers fundamentals of probability, combinatorics, discrete and continuous random variables, jointly distributed random variables, and limit theorems. Using probability to introduce fundamentals of statistics, including Bayesian and classical inference. The equivalent of four lectures hours a week.

This is the second semester of the accelerated calculus sequence. The theory and applications of sequences and infinite series, including those involving functions of one variable, and an introduction to the theory and applications of differential and integral calculus of functions of several variables; subjects include methods of integration, parametric equations, sequences, infinite series, power series, functions of several variables, partial derivatives, and multiple integrals. Three lecture hours and two discussion hours a week for one semester.

Open to all University students. Studies of the popular music of a selected culture or geographical area. Three lecture hours a week for one semester, with one laboratory hour a week as required. May be repeated for credit when the topics vary.

Participate in an introductory mechanics laboratory. Three laboratory hours a week for one semester.

Methods for engineering software with a focus on abstraction; specification, design, and implementation of object-oriented code; design and implementation of object-oriented programs in Java; abstract data types; inheritance; polymorphism; parameterized types and generic programming; the operation and application of commonly used data structures; miscellaneous high-level programming topics.

Same as Comparative Literature 315. Introduction to masterpieces of world literature, emphasizing historical, generic, and thematic connections. Three lecture hours a week for one semester. Some sections require an additional discussion hour a week.

an introductory course in probability and statistics and may be your first course in quantitative methods at the upper level of the economics course sequence. The objective of this course is to prepare students for further studies of econometrics by providing students with (1) basic knowledge about interpretation of economic data, (2) an introduction to statistical models, estimation, and inference in economics, and (3) instances involving combinations of theoretical statistics and mathematical background with real-life data analysis skills in economics and business situations.

In RHE 306, Rhetoric & Writing, you will take the first step in changing the world by learning how to argue effectively in the public sphere. In this class, you will learn how to examine public rhetoric, analyze various positions that people hold, and effectively advocate your own position. You will also explore the ethics of argumentation, explaining what it means to “fairly” represent someone with whom you disagree, or how to responsibly address a community with particular values and interests. Your work in this course will help you advance the critical writing and reading skills you will need to succeed in courses for your major and university degree.

This is an introduction to linear algebra and differential equations. Geared to the audience primarily consisting of engineering and science students, the course aims to teach the basic techniques for solving differential equations that arise in applications. The approach is problem-oriented and not particularly theoretical. Most of the time is devoted to first and second-order ordinary differential equations with an introduction to Fourier series and partial differential equations at the end.

We start the course with a discussion of curves and surfaces in R2 and R3. To study those objects, we introduce tools such as matrices, inner products and the cross product. We then proceed to develop calculus for scalar a vector-valued functions of several variables. In particular, we discuss their limits, derivatives and integrals. We finish the course with Stokes’s theorem, which relates the integral over the boundary of a curve or surface U ⊂ R3 to the integral of a suitable object over U.

This course provides an introduction to the main econometric models and estimation methods that are utilized in economics and business. The goal is to provide students with the knowledge needed to conduct their own quantitative empirical research, evaluate economic and business policies, perform basic forecasting, and conduct a critical reading of research and policy analysis. In addition to practicing how to conduct regression analysis and other related analysis (estimation and interpretation of the results), this course will emphasize the underlying statistical theory, which is needed to understand when particular methods are or are not likely to be valid. In the lab part of this course, you will come up with your own research question, identify relevant data, and use the methods of this course to investigate answers to your question. In the process, you will write a research paper, which will include a discussion of relevant literature, as well as the statistical methodology you have chosen, and your empirical results.

Examine mathematical treatment of microeconomic theory with application to real world subjects. Explore mathematical methods used by economists and apply them to analyze consumer behavior, choice under uncertainty, theory of the firm, game theory and general equilibrium.

This is a calculus-based introductory course on electricity and magnetism for engineering students. We will cover electric and magnetic forces, the idea of fields, how electric and magnetic fields are sourced by charges and currents, circuits, and electromagnetic waves and optics. Along the way we will discuss problem solving strategies, and get a glimpse of vector calculus.

This course will focus on connecting topics from General Physics II with actual physical systems, including the experimental concepts and methods, the statistical tools, and the kinds of collaboration needed to approach this in ways reflective of how actual empirical scientists do.