My coursework

This course covers a variety of topics within linear algebra and matrix theory. It is also intended to help develop skills at constructing and writing mathematical proofs. Specific topics to be covered include vectors and matrices, systems of linear equations and Gaussian elimination, eigenvalues and eigenvectors, determinants, vector spaces, linear transformations, and orthogonality.

Financial Literacy aims to provide students with core competencies of personal financial management and financial literacy. The course intertwines components of economics relevant to developing financial literacy and financial management skills. Students will learn financial planning concepts and applications for their personal lives. The objective is for students to gain applicable and practical knowledge while expanding their understanding of financial and economic issues faced by different households and how those issues can be managed.

Fundamentals of Nutrition provides an overview of the science of nutrition. It is an introductory course about food and its relationship to health, development, and disease. Topics covered include components of food (carbohydrates, fats, proteins, vitamins and minerals), their digestion, absorption, transport, and metabolism, their sources in foods, effects of deficiency or excess, and the biological roles they play in the body. Students learn the vital role of scientific inquiry in addressing currently pressing problems such as the growing epidemic of obesity and chronic illnesses, including diabetes, coronary heart disease, and cancer. Other nutrition-related conditions, such as eating disorders and osteoporosis, are also covered. This course conveys knowledge and skills that are relevant and applicable to students’ lives both now and in the future.

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.

This course is designed to provide students with a basic understanding of statistical methods and their applications in economics. The course covers topics such as probability, sampling, hypothesis testing, regression analysis, and time series analysis. The course is taught as a Web-based course.

This course is designed to provide students with a basic understanding of rhetoric and composition. The course covers topics such as argumentation, persuasion, and writing. The course is taught as a Web-based course.

This course is designed to provide students with a basic understanding of differential equations and linear algebra. The course covers topics such as first-order differential equations, second-order differential equations, and systems of differential equations.

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Parameter estimation and inference in regression models.

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.

A general survey of physics; primarily electricity, magnetism, and optics. Three lecture hours and one discussion hour a week for one semester.

Participate in an introductory electricity and magnetism laboratory. Three laboratory hours a week for one semester.