Course	CMSC 103 Great Ideas in Computer Science
Professor	Rebecca Thomas
CRN	16289
Schedule	Tu Th 2:30 -3:50 pm OLINLC 115 Wed (Lab) 1:30 -3:30 pm ALBEE 100
Distribution	OLD: E/Q	NEW: Math and Computing

Cross-listed: Science, Technology & Society

This course will examine several fundamental ideas from computer science, beginning with the binary representation of data (numbers, characters, images) and manipulation of these data. We will study some of the big ideas that enable the current sophistication of computing, including the von Neumann stored-program architecture, the use of automatic translators for programming languages, and the utility of switching among multiple levels of abstraction. We will study the basics of programming, and the course will include some simple programming assignments. By the end of the course, we will have enough basic understanding to explore some of the technologies that underlie the internet. Prerequisite: Eligibility for Q courses. On-line

Course	CMSC 131 Cognitive Science
Professor	Sven Anderson
CRN	16290
Schedule	Mon Wed 1:30 -2:50 pm OLINLC 115 Fr 9:50 - 11:50 am HDR 101A
Distribution	OLD: E/G	NEW: SSCI

Cross-listed: Science, Technology & Society

How do brains make minds? Can computers think? Is my dog conscious? Cognitive science assumes that the brain is some sort of computational engine, and, beginning with that premise, attempts to find answers to such questions. This course will be taught by faculty from biology, computer science, linguistics, philosophy, and psychology, who will combine their different approaches to explore how humans and other intelligent systems feel, perceive, reason, plan, and act. In particular, the course will focus on the fundamental importance of language, signaling, and representation at many levels, from the neural to the organismal. Laboratories will provide students with hands-on experience analyzing neural and behavioral data as well as with computational modeling. Prerequisites: pre-calculus or its equivalent and a willingness to engage a broad variety of ideas and approaches from the natural, mathematical, and social sciences. On-line

Course	CMSC 141 Computer Science I
Professor	Robert McGrail
CRN	16291
Schedule	Mon Fr 10:30 - 11:50 am HEG 102 Wed (Lab A) 9:50 - 11:50 am ALBEE 100 or Th (Lab B) 9:50 - 11:50 am ALBEE 100
Distribution	OLD: E/G/Q	NEW: Math and Computing

This course introduces 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 prepares students to apply the syntax and structure of a programming language to a variety of problem statements. The course includes regular programming assignments as well as a programming project. Prerequisite: eligibility for Q courses. On-line

Course	CMSC 142 Computer Science II: Structures, Algorithms and Design
Professor	Brandeis Hill
CRN	16292
Schedule	Tu Th 9:00 - 10:20 am ALBEE 106 Th (Lab) 1:30 - 3:30 pm ALBEE 100
Distribution	OLD: E/G/Q	NEW: Math and Computing

This course elevates student programming and problem-solving skills via a thorough introduction to data abstraction and the design of efficient data structures and associated algorithms. Numerous problems drawn from a broad variety of fields (e.g., artificial intelligence, genetics, simulation, languages, and cryptography) are used to motivate the study of new data types and algorithms. Students will learn to implement numerous important structures, including records, queues, lists, and trees. Essential algorithms for searching and sorting these structures are also implemented and analyzed. Prerequisites: Computer Science 141 or its equivalent and eligibility for Q courses. On-line

Course	CMSC 301 Algorithms
Professor	Rebecca Thomas
CRN	16293
Schedule	Tu Th 10:30 - 11:50 am OLIN 302
Distribution	OLD: E/Q	NEW: Math and Computing

The course discusses design and analysis of correct and efficient computer algorithms. Topics include sorting, greedy algorithms, divide-and-conquer algorithms, dynamic programming algorithms, and graph algorithms. Advanced topics in algorithms may be selected from specialized areas of the mathematical and empirical sciences.

Prerequisites: Computer Science 142 and Mathematics 231/235On-line

Course	CMSC 321 Databases: Theory & Practice
Professor	Robert McGrail
CRN	16294
Schedule	Mon Fr 9:00 - 10:20 am ALBEE 106
Distribution	OLD: E/Q	NEW: Math and Computing

An introduction to the design, implementation, and uses of databases. Topics include database design, database models, integrity, concurrency, security, and database query languages.

Prerequisite: Computer Science 142 On-line

Course	CMSC 323 Computer Graphics
Professor	Melvin Chen
CRN	16295
Schedule	Mon Wed 3:00 -4:20 pm ALBEE 106
Distribution	OLD: E/Q	NEW: Math and Computing

Computer graphics has become ubiquitous in today’s society, from magazine ads to movies to video games. In this course we introduce and explore the basic algorithms used to create and manipulate two and three dimensional graphical objects. Among the topics that will be covered are coordinate transformations, projection, hidden surfaces, shading, ray tracing, and texture mapping. A strong mathematical and programming background is necessary.

Prerequisites: Math 242 or 331, CMSC 142, and permission of instructor.