INFO 102
Fall 2008 All Classes
All Classes
Credit: 4 hours.
Broad introduction to the nature, capabilities, and limitations of computing. Topics range from the way data is represented and stored, to the way today's computers work, to the general ideas of algorithms and computational efficiency, to the future of computing. Covers "Great Ideas" across various areas of the field, including, for example, cryptography and internet security, problem solving, modeling and simulation, and artificial intelligence.
This course satisfies the General Education Criteria in
Fall 2022 for:
Quantitative Reasoning I
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
51878
|
Laboratory
|
AB1
|
3:00PM
-4:50PM
|
T
|
G27 Foreign Languages Building
|
Pitt, L
|
|
|
|
51879
|
Laboratory
|
AB2
|
3:00PM
-4:50PM
|
W
|
G8A Foreign Languages Building
|
Pitt, L
|
|
|
|
51880
|
Laboratory
|
AB3
|
1:00PM
-2:50PM
|
R
|
G23 Foreign Languages Building
|
Pitt, L
|
|
|
|
51877
|
Lecture
|
AL1
|
10:00AM
-10:50AM
|
MWF
|
223 Gregory Hall
|
Pitt, L
|
|