12294 |
CMSC 116 Intro
to Computing: Semantic Web |
Robert McGrail LAB: |
. T . . . . . . Th . |
10:10 - 11:30
am 10:30 - 12:30
pm |
RKC 100 RKC 100 |
MATC |
This
course is an introduction to content deployment for the
World Wide Web. Participants in this course will construct social
networking software, similar in scope to blogs or FaceBook,
using a dynamic web programming system. Strong emphasis will be placed on
the development of flexible applications that efficiently store and process
data and metadata. In addition to basic computer programming, various XML
technologies will be introduced and employed.
Prerequisite: Passing score on Part I of the Mathematics
Diagnostic. Class size: 15
12297 |
CMSC 117 Intro to
Computing: Interactive |
Keith O'Hara |
M . W . . |
3:10 -4:30 pm |
RKC 100 |
MATC |
This course
introduces students to computing through the construction of interactive computing
systems. Students will explore computing by programming graphics, perception,
and robotics systems; learning how computers can manipulate the physical world
as well as calculate in the virtual world. Programming projects include
creating 2D and 3D pieces of art, automatically analyzing photos and video from
digital cameras, and making machines walk and talk. No prior knowledge of
computer programming is required. Prerequisite: passing score on part 1 of the
Mathematics Diagnostics. Class size: 20
12606 |
CMSC 143 Object
Oriented Programming With Robots |
Keith O'Hara
LAB: |
M . W . . . . . F. |
10:10 - 11:30
am 10:30 - 12:30
pm |
RKC 107 RKC 107 |
MATC |
Cross-listed: Mind, Brain & Behavior This course introduces
students with prior programming experience to object-oriented design and
programming through the design and implementation of mobile robot programs. The
programs will enable the robot to move around the world, reacting to sensors
such as obstacle detectors and a color camera. Students will learn how to
move from an informal problem statement, through increasingly precise problem
specifications, to design and implementation of a solution. Good
programming habits will be emphasized. Purchase of a small personal robot (to
be specified by the instructor) is recommended. Prerequisite: any Introduction
to Computing course, or permission of the instructor. Class
size: 20
12292 |
CMSC 145 Discrete
Math |
Sven Anderson |
. T . Th . |
10:10 - 11:30
am |
RKC 101 |
MATC |
Discrete
mathematics includes those areas of mathematics that are essential to computer
science, information theory, combinatorics, and
genetics. This course emphasizes creative problem solving, linking
language to logic, and learning to read and write proofs. The topics
covered include propositional logic, predicate logic, inductive proof, sets,
relations, functions, introductory combinatorics and
discrete probability. Applications drawn from computation will motivate
most topics. Prerequisite: Mathematics 141 or programming experience. Class
size: 20
12298 |
CMSC 201 Data
Structures |
Rebecca Thomas
LAB: |
M . W . . . . . . F |
10:10 - 11:30
am 10:10 - 12:10
pm |
RKC 100 RKC 100 |
MATC |
This
course introduces students to essential principles of program design and
analysis that underlie applications of computation to internet communication, digital media, and
artificial intelligence. Building on basic programming skills, we will
focus on the construction of more sophisticated and reliable computer programs
that employ the most important data structures. Data structures, common
ways in which data is organized and manipulated, are an important aspect of
modern programs. Consequently, throughout the course students will learn
to create and use the most useful data structures, including files, lists,
stacks, trees, and graphs. Students will
write several programs, ranging from short lab assignments to larger systems of
their own design. Prerequisite: CMSC 141
or 143. Class size: 20
12295 |
CMSC 301 Algorithms |
Robert McGrail |
. T . Th . |
1:30 -2:50 pm |
RKC 100 |
MATC |
Cross-listed: Mind, Brain & Behavior 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: CMSC 201, MATH 141, and Discrete Mathematics (CMSC
145/235/242). Students may substitute MATH 231 for Discrete
Mathematics. Class
size: 20
12299 |
CMSC 308 Seminar:
Cognitive Science Research |
Rebecca Thomas |
. . W . . |
6:30 -8:00 pm |
RKC 101 |
MATC |
2 credits This seminar, required of all juniors and seniors in Mind, Brain, and
Behavior/Cognitive Science, explores the primary literature relevant to a particular
question about cognition. Students are responsible for selecting papers,
presenting material, and leading discussion. Prerequisite: Moderated status or
permission of the instructor. Class
size: 20
12293 |
CMSC 326 Operating
Systems |
Sven Anderson
LAB: |
M . . . F . . W . . |
1:30 -2:50 pm 1:30 -3:30 pm |
RKC 107 RKC 107 |
MATC |
Cross-listed:
Mind, Brain & Behavior Covers traditional topics of operating
systems, including interprocess communication, semaphores,
monitors, scheduling algorithms, deadlocks, virtual memory, and file system
design. In addition, discussion may include issues in distributed systems such
as the client-server model, remote procedure call, distributed synchronization,
transactions, threads, and file servers. Prerequisite: CMSC 201.
Class size: 20