The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.

This course introduces and develops methods for designing and implementing abstract data types using the Java programming language. The main focus is on how to build and encapsulate data objects and their associated operations. Specific topics include linked structures, recursive structures and algorithms, binary trees, balanced trees, and hash tables. These topics are fundamental to programming and are essential to other courses in computer science. The course involves weekly programming assignments, in-class quizzes, discussion section exercises, and multiple exams.

Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

Experimental organic chemistry with emphasis on underlying physical principles. Separation and purification, synthesis, analysis, and identification of organic compounds, including spectroscopy. Microscale work predominates. Emphasis on safe laboratory practices and proper disposal of wastes. Prerequisite or co-requisite: CHEM 262 or 266.

Independent study of a selected problem for qualified students. By arrangement. Consent of instructor required.

Marxian theory. Topics include historical materialism, class, value and surplus val-ue, the labor process, and accumulation and crisis. Additional topics vary with instructor.

A rigorous introductory course in electricity and magnetism with emphasis on electrostatics, currents, circuits, magnetic fields and magnetic induction, ending with Maxwell's equations. For Physics and Astronomy majors. An optional honors colloquium is available for this course. (Gen. Ed. PS)