An introductory course in problem solving, using the programming language Java. Focuses on the fundamental concepts of problem solving and on computer implementation. Intended for computer science majors or those applying for the major. Satisfactory completion is a prerequisite for all higher-level computer science courses. Use of a laptop computer required. Prerequisite: high school algebra and basic math skills (R1). (Gen.Ed. R2)

An introductory course in problem solving, using the programming language Java. Focuses on the fundamental concepts of problem solving and on computer implementation. Intended for computer science majors or those applying for the major. Satisfactory completion is a prerequisite for all higher-level computer science courses. Use of a laptop computer required. Prerequisite: high school algebra and basic math skills (R1). (Gen.Ed. R2)

Examines current concepts, themes, and theories in child development. Traces natural course of development from beginning of human life through adolescence. (Gen.Ed. SB)

Ever wonder why there are so many semicolons in;Java programs, or what it would mean for a;language to not be object-oriented? In this;course, we will explore issues related to the;design and implementation of programming;languages. Along the way, we will discover;answers to these questions and more. Topics will;include syntax, semantics, runtime support for;languages as well as an introduction to;functional programming.

This course develops the ideas of probability simultaneously from experimental and theoretical perspectives. The laboratory provides a range of experiences that enhance and sharpen the theoretical approach and, moreover, allows us to observe regularities in complex phenomena and to conjecture theorems. Topics include: introductory experiments; axiomatic probability; random variables, expectation, and variance; discrete distributions; continuous distributions; stochastic processes; functions of random variables; estimation and hypothesis testing.

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

This course is designed to introduce students to;social, cultural, historical, and political;perspectives on gender and its construction. ;Through discussion and writing, we will explore;the intersections among gender, race, class, and;sexuality in multiple settings and contexts. ;Taking an interdisciplinary approach to a variety;of questions, we will consider the distinctions;between sex and gender, women's economic status,;the making of masculinity, sexual violence, queer;movements, racism, and the challenges of feminist;activism across nations, and possibilities for;change.

Learn to navigate life on beast mode: this seminar will objectively look at principles of food science and culinary arts to slice against the grain in life's barriers. Students will be taught an array of unique skills from these disciplines to improve quality of palate and life. Prepare your ears, eyes, tongue, and mind: we'll challenge your sensory perception!