(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

(Offered as STAT 135 and MATH 135) This course is an introductory statistics course that uses modeling as a unifying framework. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, visualization, probability, study design, and multiple regression.

Completeness of the real numbers; topology of n-space including the Bolzano-Weierstrass and Heine-Borel theorems; sequences, properties of continuous functions on sets; infinite series, uniform convergence. 

Requisite: MATH 211 and either MATH 271 or 272, or consent of the instructor. Students with a grade of B+ or lower in linear algebra are encouraged to take another 200-level course with proofs before taking MATH 355.

Limited to 25 students. The Department. 

The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. MATH 271 will feature both proofs and applications, with special attention paid to the theoretical development of the subject.

This course serves as an introduction to mathematical reasoning and pays particular attention to helping students learn how to write proofs. The topics covered may include logic, elementary set theory, functions, relations and equivalence relations, mathematical induction, sequences, and quantifiers. Additional topics may vary from semester to semester.

Limited to 25 students. Spring and fall semesters. The Department. 

Lab 

How to handle overenrollment: null

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: reading of scientific literature; collection, analysis and presentation of scientific data; quantitative problem sets; in-class written examinations; collaborative group work.

An introduction to the evolution, ecology, and behavior of organisms and how these relate to the diversity of life. Following a discussion of the core components of evolutionary theory, we'll examine how evolutionary processes have shaped morphological, anatomical, physiological, and behavioral adaptations in organisms that solve many of life's problems, ranging from how to find or acquire food and avoid being eaten, to how to attract and locate mates, and how to optimize reproduction throughout a lifetime.

An introduction to the evolution, ecology, and behavior of organisms and how these relate to the diversity of life. Following a discussion of the core components of evolutionary theory, we'll examine how evolutionary processes have shaped morphological, anatomical, physiological, and behavioral adaptations in organisms that solve many of life's problems, ranging from how to find or acquire food and avoid being eaten, to how to attract and locate mates, and how to optimize reproduction throughout a lifetime.

A one-semester project—either a shorter essay or some other form of independent interdisciplinary research and production. The capstone project serves as the grounds for a comprehensive evaluation of each student's achievement in the major.

Fall and spring semesters. The Department.

How to handle overenrollment: null

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: independent research, critical analysis, close reading, and extended writing.