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Data Science (DSCI)
- datascience.usc.edu/ D class assignments are only avaialable online at: myviterbi.usc.edu. Once you create your myViterbi profile, select the "D-Clearance Request Manager" to submit requests for DSCI courses. To be enrolled in an off-campus course, you MUST also be enrolled in the Distance Education Network (DEN). For more information, call 740-4488 or go to den.usc.edu. DEN courses are indicated by a location of DEN@Viterbi. For general questions regarding DSCI courses, you may email datasci@usc.edu.
Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32400R | 906 | Lecture | 3:00-4:50pm | TuWTh | 60 of 80 | Mohammad Reza Rajati | ONLINE | PDF (170070 KB) |   |
| 32402D | 911 | Lecture | 3:00-4:50pm | TuWTh | 9 of 30 | Mohammad Reza Rajati | DEN@Viterbi | PDF (170070 KB) | |
Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on Map Reduce. Case studies.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32401R | 901 | Lecture | 10:00-2:10pm | Tue, Thu | 38 of 60 | Anna Farzindar | ZHS252 & ONLINE | | |
| 32403D | 909 | Lecture | 10:00-2:10pm | Tue, Thu | 2 of 30 | Anna Farzindar | DEN@Viterbi | PDF (335469 KB) | |
Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
- Crosslist: This course is offered by the ISE department but may qualify for major credit in DSCI. To register, enroll in ISE 529.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 902 | Lecture | 4:00-6:50pm | Mon, Thu | 41 of 50 | Cesar Acosta-Mejia | ONLINE | PDF (314356 KB) | |