COMPUTER SCIENCE
|
CRN |
92148 |
Distribution |
E/G |
|
Course No. |
CMSC 104 Q course |
|
Title |
Introduction to Robotics |
|
Professor |
Rebecca Thomas |
|
Schedule |
Mon Fr 10:00 am - 11:20 am ALBEE 106
Lab: Wed 10:00 am - 12:00 pm HDR 101A |
This course introduces students to ideas that are fundamental to robotics and to computing in general. Teams of students will design and build shoebox-sized robots, with guidance from the instructor. These rather minimalist robots will be mobile and will have at least touch and light sensors. The student teams will use a simple programming language to program their robots to carry out simple tasks such as light following/light avoidance, and will move to a more robust programming language and more complex tasks (such as basic navigation or line following) by the end of the semester. Prerequisite: eligibility for a Q course.
|
CRN |
92147 |
Distribution |
E/G |
|
Course No. |
CMSC 141 Q course |
|
Title |
Computer Science I |
|
Professor |
Rebecca Thomas |
|
Schedule |
Mon Wed 3:00 pm - 4:20 pm ALBEE 106
Labs: Mon 1:00 pm - 2:55 pm ALBEE 100
Fr 1:30 pm - 3:30 pm ALBEE 100 |
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.
|
CRN |
92149 |
Distribution |
E/G |
|
Course No. |
CMSC 142 Q course |
|
Title |
Computer Science II |
|
Professor |
Sven Anderson |
|
Schedule |
Mon Wed 10:00 am - 11:20 am HEG 106
Lab: Fr 10:00 am - 12:00 pm ALBEE 100 |
This course is a continuation of Computer Science 141. Elementary data structures, such as lists, records, and trees, will be discussed, as will the essentials of sorting algorithms and algorithm analysis. The inclusion of other topics such as error handling and other control features will be subject to instructor whim.
Prerequisite: Computer Science 141 or its equivalent.
Corequisite: Mathematics 235.
|
CRN |
92150 |
Distribution |
E |
|
Course No. |
CMSC 321 Q course |
|
Title |
Databases: Theory & Practice |
|
Professor |
Robert McGrail |
|
Schedule |
Mon Fr 1:30 pm - 2:50 pm ALBEE 106 |
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
|
CRN |
92151 |
Distribution |
E |
|
Course No. |
CMSC 351 Q course |
|
Title |
Artificial Intelligence |
|
Professor |
Sven Anderson |
|
Schedule |
Mon Wed 3:00 pm - 4:20 pm |
This course provides a broad introduction to topics in artificial intelligence, including knowledge representation and reasoning, planning and problem solving, and machine learning. Advanced topics may include natural language processing, multi-agent systems, image processing, or other topics of the instructor's choice.
Prerequisite: Computer Science 142.
|
CRN |
92153 |
Distribution |
E/G |
|
Course No. |
CMSC 425 Q course |
|
Title |
Compiler Design |
|
Professor |
Robert McGrail |
|
Schedule |
Mon Wed 10:00 am - 11:20 am HEG 300
Lab: Wed 1:00 pm - 3:00 pm ALBEE 100 |
An introduction to the process of writing a language translator. Topics include lexical analysis, parsing, syntax-directed translation, optimization, and code generation. Students complete a project involving design and implementation of a compiler for a simple high-level programming language.
Prerequisites: Computer Science 305, and CMSC 311 or 312.