Data Science (DSCI) |
204 Pacific Hall,
College of Arts & Sciences
|
|
8 - No cost for class textbook materials.
Q - Tentative
|
|
Course Data
| DSCI 102 Foundat Data Science 2 |
4.00 cr. |
| This course expands upon critical concepts and skills introduced in DSCI 101. Topics include the normal distribution, confidence intervals, regression, and classifiers. Sequence with DSCI 101. |
| Grading Options: |
Optional; see degree guide or catalog for degree requirements
|
| Instructor: |
Muehleisen A |
|
|
| Instructor: |
Sventek J |
Office:
143 Deschutes Hall
Phone:
(541) 346-3473
|
 Prereqs/Comments: |
Prereq: DSCI 101, MATH 101 (or equivalent placement score) or any other college-level math course. |
| Course Materials |
|
| |
| |
CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
Lecture |
21691 |
22 |
75 |
1400-1520 |
tr |
229 MCK |
Muehleisen A |
!8 |
| Sventek J |
Final Exam: |
1230-1430 |
m 3/18 |
229 MCK |
| |
Associated Sections |
+ Lab |
21692 |
15 |
25 |
0900-0950 |
f |
203 CON |
Dragu J |
|
+ Lab |
21693 |
7 |
25 |
1200-1250 |
f |
253 STB |
Muehleisen A |
Q |
+ Lab |
21694 |
0 |
25 |
1100-1150 |
f |
185 LIL |
Dragu J |
|
|
Academic Deadlines
| Deadline |
Last day to: |
| January 7: |
Process a complete drop (100% refund, no W recorded) |
| January 13: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| January 13: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| January 14: |
Process a complete withdrawal (90% refund, W recorded) |
| January 14: |
Withdraw from this course (100% refund, W recorded) |
| January 15: |
Add this course |
| January 15: |
Last day to change to or from audit |
| January 21: |
Process a complete withdrawal (75% refund, W recorded) |
| January 21: |
Withdraw from this course (75% refund, W recorded) |
| January 28: |
Process a complete withdrawal (50% refund, W recorded) |
| January 28: |
Withdraw from this course (50% refund, W recorded) |
| February 4: |
Process a complete withdrawal (25% refund, W recorded) |
| February 4: |
Withdraw from this course (25% refund, W recorded) |
| February 25: |
Withdraw from this course (0% refund, W recorded) |
| February 25: |
Change grading option for this course |
 | You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day. |
|
|
Expanded Course Description
| This course prepares students to apply computational, statistical, and inferential techniques to large data sets. Students will learn to obtain data from public sources, distill critical information, characterize the data using statistical techniques, and make quantitative predictions based on their analyses. Topics include the normal distribution, confidence intervals, regression, and classifiers. Ethical concerns resulting from use of the techniques in this course will be addressed.
|
|
|
