Considers figures and schools of thought significant in the history of literary criticism. Required for all majors. (D) This course introduces students to foundational concepts and texts in critical theory that expand our ways of reading and of writing about literature. Our discussions will focus […]
Survey of an important area in economics not included in the regular course offerings. Students should consult the instructor to ascertain topic before enrolling. May be taken more than once for credit if topic differs. Additional pre-requisites may vary, check with department. P–ECN 150. (D) […]
Examines various explanations for differences in economic development across countries in historical perspective. P-ECN 150 (D) First Session Course:
Development of demand and supply analysis, neoclassical theory of household and firm behavior, and alternative market structures. P-ECN 150 and MTH 111 or 112. (D) First Session Course:
This workshop explores the fundamentals of writing poetry, fiction, and creative nonfiction. Students analyze the forms of each genre with an eye toward creating literary texts of their own. Through workshops and class discussions, students also learn how to revise their own writing and offer […]
Topics in computer science that are not covered in regular courses or that give special practice in skills used in other courses. Not to be counted toward the bachelor of science in computer science. May be repeated for up to 6 hours if the topic […]
A study of algorithm development and problem solving using top-down design, data abstraction, object-oriented programming, and program debugging and testing. Topics include memory allocation, recursion, data structures such as arrays, lists, stacks, queues, and trees, simple sorting and searching algorithms, and algorithm complexity. P-CSC 111 […]
Introduction to computer programming and algorithmic problem solving in an object-oriented programming language. Topics include basic control structures, methods, parameters, objects, classes, arrays, and program testing and debugging. Recommended as the first course for students considering a major or minor in computer science. (D) Second […]
An introduction to fundamental principles of computer science including abstraction, data and information, algorithm development, and computer programming. Students apply computational problem solving skills to representative problems from a range of domains using the Python programming language. Appropriate for students who want computing experience applicable […]
An introduction to fundamental principles of computer science including abstraction, data and information, algorithm development, and computer programming. Students apply computational problem solving skills to representative problems from a range of domains using the Python programming language. Appropriate for students who want computing experience applicable […]