Course	CMSC 141 Computer Science I
Professor	Sven Anderson
CRN	95237
Schedule	Mon Fr 1:30 -3:30 pm ALBEE 100/ 106
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

This course will introduce the notion of a computational process as well as the idea of a program as a director of such processes. The study of problem-solving techniques and algorithm development will prepare students to apply the syntax and structure of a programming language to a variety of problem statements. The course will include regular programming assignments as well as a programming project.

Prerequisite: Eligibility for Q courses.

Course	CMSC 243 Introduction to Functional Programming
Professor	Robert McGrail
CRN	95238
Schedule	Tu Th 9:50 - 11:50 am ALBEE 100/ 106
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

This course introduces students to the functional programming paradigm. Topics include recursion, recursively defined data types, and first-class functions. The course will also introduce some basic programming techniques from artificial intelligence, including blind and heuristic search algorithms.

Prerequisite: CMSC 141

Course	CMSC 305 Design of Programming Langs
Professor	Robert McGrail
CRN	95239
Schedule	Tu Th 1:30 -3:30 pm ALBEE 100/ 106
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

This course will cover a selection of issues important to the design of programming languages including, but not limited to, type systems, procedure activation, parameter passing, data encapsulation, dynamic memory allocation, and concurrency. In addition, the functional, logic, and object-oriented programming paradigms will be presented as well as a brief history of high-level programming languages. Students will be expected to complete a major programming project in Standard ML of New

Jersey as well as other programming assignments in Java or Prolog.

Course	CMSC 353 Modeling and Simulation
Professor	Sven Anderson
CRN	95240
Schedule	Mon Fr 10:30 - 12:30 pm ALBEE 100/106
Distribution	OLD: E/G	NEW: MATH & COMPUTING

Cross-listed: Science, Technology & Society

This course provides an introduction to mathematical modeling and the computer simulation of discrete and continuous systems. Examples will be drawn from the computational, physical, and social sciences. Students will learn to create mathematical models of systems, design simulation experiments, construct simulations, test their validity, and statistically analyze model output. Students will complete final projects in which they undertake the modeling and simulation of a system of their choice. Prerequisites: MATH 142 and CMSC 142 or the equivalent, and at least one 200-level course in the sciences or social sciences.