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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.
Data modeling, data storage, indexing, relational databases, key-value/document store, NoSQL, distributed file system, parallel computation and big-data analytics.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32400R | 001 | Lecture | 10:00-11:50am | Mon, Wed | 35 of 35 | Wensheng Wu | DMC151 | PDF (309203 KB) |  |
Foundational course focusing on the understanding, application and evaluation of machine learning and data mining approaches in data-intensive scenarios.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32403R | 001 | Lecture | 3:30-6:50pm | Thursday | 28 of 30 | David Pynadath | DMC155 | |
Programming in Python for retrieving, searching and analyzing data from the Web. Learning to manipulate large data sets.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32429D | 048 | Lecture | 12:00-1:50pm | Monday | 35 of 45 | Anna Farzindar | MHPB7B | PDF (254379 KB) | |
| 32430R | 048 | Lab | 12:00-1:50pm | Wednesday | 35 of 45 | Anna Farzindar | MHPB7B | | |
| 32431D | 048 | Lecture | 5:00-7:20pm | Wednesday | 52 of 55 | Ulf Hermjakob | KDC235 | PDF (205107 KB) | |
| 32433R | 048 | Lab | 5:00-6:50pm | Friday | 52 of 56 | Ulf Hermjakob | GFS118 | | |
| 32434D | 048 | Lecture | 4:00-5:50pm | Wednesday | 44 of 45 | Jose-Luis Ambite | RTH109 | PDF (200939 KB) | |
| 32435R | 048 | Lab | 4:00-5:50pm | Thursday | 44 of 45 | Jose-Luis Ambite | RTH109 | | |
| 32440D | 034 | Lecture | 4:00-5:50pm | Wednesday | 11 of 30 | Jose-Luis Ambite | DEN@Viterbi | PDF (200939 KB) | |
| 32441R | 034 | Lab | 4:00-5:50pm | Thursday | 11 of 30 | Jose-Luis Ambite | DEN@Viterbi | |
Analysis of computer security and why systems are not secure. Concepts and techniques applicable to the design of hardware and software for Trusted Systems.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32408D | 048 | Lecture | 2:00-5:20pm | Monday | 41 of 45 | Tanya Ryutov | OHE100C | | |
| 32424D | 034 | Lecture | 2:00-5:20pm | Monday | 12 of 30 | Tanya Ryutov | DEN@Viterbi | |
Covers societal implications of information privacy and how to design systems to best preserve privacy. Recommended preparation: general familiarity with the use of common Internet and mobile applications.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32410D | 048 | Lecture | 12:00-3:20pm | Friday | 82 of 84 | Clifford Neuman | OHE136 | | |
| 32425D | 034 | Lecture | 12:00-3:20pm | Friday | 29 of 45 | Clifford Neuman | DEN@Viterbi | |
Basic and advanced fairness concepts and methods; applications to societal data for studying fairness and bias; fairness and bias effects in learning algorithms.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32427D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 54 of 55 | Kristina Lerman,Keith Burghardt | OHE132 | PDF (242246 KB) | |
| 32447D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 4 of 20 | Kristina Lerman,Keith Burghardt | DEN@Viterbi | PDF (242246 KB) | |
Introduction to data analysis techniques and associated computing concepts for non-programmers. Topics include foundations for data analysis, visualization, parallel processing, metadata, provenance and data stewardship. Recommended preparation: mathematics and logic undergraduate courses.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32438D | 048 | Lecture | 2:00-5:20pm | Monday | 44 of 45 | Ning Wang | RTH109 | | |
| 32442D | 034 | Lecture | 2:00-5:20pm | Monday | 8 of 30 | Ning Wang | DEN@Viterbi | | |
| 32448D | 048 | Lecture | 2:00-5:20pm | Monday | 9 of 20 | Ning Wang | DRB146 |  |
Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set on clusters; in-data techniques.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32413D | 048 | Lecture | 3:30-6:50pm | Thursday | 48 of 51 | Christian Mattmann | OHE100D | | |
| 32444D | 048 | Lecture | 5:30-7:20pm | Mon, Wed | 43 of 60 | Seon Kim | SLH100 | PDF (251477 KB) | |
| 32426D | 034 | Lecture | 3:30-6:50pm | Thursday | 10 of 30 | Christian Mattmann | DEN@Viterbi | |
Function and design of modern storage systems, including cloud; data management techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32401D | 048 | Lecture | 3:30-5:20pm | Mon, Wed | 39 of 40 | Wensheng Wu | RTH105 | PDF (320936 KB) | |
| 32402D | 048 | Lecture | 3:30-6:50pm | Tuesday | 114 of 120 | Wensheng Wu | SLH200 | PDF (320936 KB) | |
| 32423D | 034 | Lecture | 3:30-5:20pm | Mon, Wed | 12 of 30 | Wensheng Wu | DEN@Viterbi | PDF (320936 KB) | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 32414D | 048 | Lecture | 3:30-5:20pm | Tue, Thu | 116 of 120 | Mohammad Reza Rajati | OHE122 | PDF (201655 KB) | |
| 32415D | 048 | Lecture | 10:00-11:50am | Tue, Thu | 79 of 80 | Mohammad Reza Rajati | GFS116 | PDF (201655 KB) | |
| 32416D | 048 | Lecture | 6:00-9:20pm | Thursday | 93 of 120 | Ke-Thia Yao | ZHS159 | PDF (110867 KB) | |
| 32443D | 034 | Lecture | 3:30-5:20pm | Tue, Thu | 19 of 30 | Mohammad Reza Rajati | DEN@Viterbi | PDF (201655 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32418D | 048 | Lecture | 5:30-8:50pm | Thursday | 231 of 330 | Wei-Min Shen | SGM123 | PDF (283970 KB) | |
| 32446D | 034 | Lecture | 5:30-8:50pm | Thursday | 19 of 30 | Wei-Min Shen | DEN@Viterbi | PDF (283970 KB) | |
Function, design, and use of modern data management systems, including cloud; data management techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm.
- Note: This course is only for students in the ISe analytics program. This course is not open to Data Science or CS students.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32421D | 048 | Lecture | 3:30-4:50pm | Tue, Thu | 53 of 90 | Carl Kesselman | SLH100 | | |
| 32428D | 048 | Lecture | 12:00-2:50pm | Friday | 85 of 90 | Bruce Wilcox | SOSB2 | PDF (315481 KB) | |
Student teams working on external customer data analytic challenges; project/presentation based; real client data and implementable solutions for delivery to actual stakeholders; capstone to degree.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32412D | 048 | Lecture | 4:00-7:20pm | Monday | 55 of 55 | Anna Farzindar | GFS118 | PDF (320430 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 |
|---|---|---|---|---|---|---|---|---|---|
| 31552D | 048 | Lecture | 12:30-3:20pm | Tuesday | 75 of 75 | Maryam Pishgar | OHE136 | PDF (58044 KB) | |
| 31729D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 51 of 75 | Victoria Stodden | SOSB46 | | |
| 31731D | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 33 of 65 | Victoria Stodden | KAP146 | | |
| 31752D | 034 | Lecture | 12:30-3:20pm | Tuesday | 3 of 15 | Maryam Pishgar | DEN@Viterbi | PDF (58044 KB) | |
Picture archive communication system (PACS) design and implementation; clinical PACS-based imaging informatics; telemedicine/teleradiology; image content indexing, image data mining; grid computing in large-scale imaging informatics; image-assisted diagnosis, surgery and therapy.
- Crosslist: This course is offered by the BME department but may qualify for major credit in DSCI. To register, enroll in BME 528.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29305D | 034 | Lecture | 9:00-10:50am | Tue, Thu | 7 of 10 | Brent Liu | DEN@Viterbi | | |
| 29310D | 048 | Lecture | 9:00-10:50am | Tue, Thu | 15 of 30 | Brent Liu | OHE100C | |
Research leading to the masters degree; maximum units which may be applied to the degree to be determined by the department.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 32432D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 0 of 1 | OFFICE | |