Course Numbering System
Overview
The department uses a standard numbering scheme for all courses. The course levels are consistent with Georgetown University’s numbering scheme. Course numbers within each of these levels are based on the ACM Taxonomy. The table below shows the department’s course numbering system. The first digit of the course’s number represents its overall level of difficulty.
Georgetown’s Course Numbering System
| Range | Type/Topic |
|---|---|
| 001-199 |
Undergraduate Only |
| 200-299 |
Upperclass Undergraduate |
| 300-349 |
Undergraduate Tutorials, Readings, Research |
| 350-399 |
Reserved |
| 400-499 |
Upperclass Undergraduate & Graduate |
| 500-699 |
Graduate Lectures |
| 700-799 |
Graduate Seminars and Topics Courses |
| 800-899 |
Doctoral Seminars |
| 900-998 |
Graduate Research, Tutorials, Readings |
| 999 |
Thesis Research |
The table below shows the department’s scheme for numbering courses based on the ACM Taxonomy. The second digit of a course number identifies the area of computer science to which the course pertains. For example, courses in the range X40–X49 are about theory, algorithms, and the mathematics of computing. The department’s undergraduate course on algorithms has the number 240, whereas the graduate-level course on algorithms has the number 540.
Course Numbering System Based on the ACM Taxonomy.
| Range | Type/Topic |
|---|---|
| X00-X19 |
Introductory, Applications, Milieux, Miscellaneous |
| X20–X29 |
Hardware, Systems, Organization |
| X30–X39 |
Security |
| X40–X49 |
Theory, Algorithms, Mathematics of Computing |
| X50–X59 |
Software/Software Engineering |
| X60–X69 |
Data |
| X70–X79 |
Computing Methodologies |
| X80–X89 |
Information Technology and Systems |
| X90–X99 |
Interdisciplinary Topics |
The department instituted this new course numbering system in 2011. The new and old course numbers and the course title appear in the table below.
New and Old Course Numbers
| New | Old | Title |
|---|---|---|
|
010 |
010 |
Introduction to Information Technology |
|
011 |
011 |
Introduction to Information Privacy |
|
012 |
012 |
Introduction to Media Computing |
|
014 |
014 |
Introduction to Information Systems |
|
015 |
015 |
Introduction to Computer Science Using Ruby |
|
030 |
127 |
Mathematical Methods of Computer Science |
|
051 |
071 |
Computer Science I |
|
052 |
072 |
Computer Science II |
|
120 |
250 |
Computer Hardware Fundamentals |
|
121 |
251 |
Computer Systems Fundamentals |
|
150 |
175 |
Advanced Programming |
|
160 |
173 |
Data Structures |
|
225 |
390 |
Networks and Data Communications |
|
230 |
352 |
Information Assurance |
|
235 |
353 |
Introduction to Network Security |
|
240 |
330 |
Introduction to Algorithms |
|
245 |
385 |
Theory of Computation |
|
252 |
372 |
Programming Languages |
|
255 |
374 |
Operating Systems |
|
258 |
355 |
Software Engineering |
|
260 |
350 |
Codes and Ciphers |
|
270 |
387 |
Artificial Intelligence |
|
275 |
282 |
Computer Graphics |
|
280 |
380 |
Introduction to Databases |
|
285 |
382 |
Introduction to Data Mining |
|
317 |
317 |
Unix for Non-believers |
|
411 |
511 |
Information Warfare |
|
428 |
393 |
Wireless Networks |
|
488 |
416 |
Information Retrieval |
|
520 |
560 |
Computer Hardware and Systems Architecture |
|
522 |
566 |
Non-Standard Computing |
|
535 |
555 |
Network Security |
|
538 |
552 |
Intrusion and Anomaly Detection |
|
540 |
531 |
Advanced Algorithms |
|
560 |
545 |
Cryptography |
|
575 |
688 |
Machine Learning |
|
580 |
580 |
Advanced Database Systems |
|
585 |
585 |
Knowledge Discovery and Data Mining |
|
586 |
N/A |
Text Mining & Analysis |
|
730 |
755 |
Topics in Computer Security |
|
780 |
716 |
Topics in Information Systems |