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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.
- Prerequisite: DSCI 250 and 1 from (ITP 115 or ITP 116)
- Note: DSCI 351 D-Clearance Request Form: forms.gle/oRCstfybTHWEW7xLA
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32454D | 001 | Lecture | 8:00-9:50am | Mon, Wed | 51 of 70 | Wensheng Wu | WPHB27 |   |
Foundational course focusing on the understanding, application and evaluation of machine learning and data mining approaches in data-intensive scenarios.
- Prerequisite: DSCI 250 and MATH 208
- Note: DSCI 352 D-Clearance Request Form: forms.gle/v3YkqhW8zhSxiP9w5
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32403D | 001 | Lecture | 5:00-6:50pm | Mon, Wed | 21 of 80 | Keith Burghardt | WPHB27 | |
Design of systems for data visualization; user interface design for exploring and interacting with data.
- Prerequisite: DSCI 250
- Note: DSCI 454 D-Clearance Request Form: forms.gle/uYjUVJNbKzpKR3LJ6
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32405D | 001 | Lecture | 2:00-5:20pm | Tuesday | 29 of 32 | David Chan | DMC151 |  | |
| 32450D | 001 | Lecture | 6:00-9:20pm | Tuesday | 13 of 32 | David Chan | DMC261 | |
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 | 4:00-5:50pm | Wednesday | 25 of 25 | Alexey Tregubov | ZHS352 | | |
| 32430R | 048 | Lab | 4:00-5:50pm | Friday | 25 of 25 | GFS118 | | ||
| 32435D | 048 | Lecture | 2:00-3:50pm | Wednesday | 20 of 70 | Ulf Hermjakob | THH212 | | |
| 32434R | 048 | Lab | 2:00-3:50pm | Friday | 20 of 70 | THH212 | | ||
| 32436D | 048 | Lecture | 4:00-5:50pm | Wednesday | 5 of 45 | Jose-Luis Ambite | RTH109 | PDF (218752 KB) | |
| 32437R | 048 | Lab | 4:00-5:50pm | Friday | 5 of 45 | RTH109 | | ||
| 32440D | 034 | Lecture | 4:00-5:50pm | Wednesday | 6 of 30 | Jose-Luis Ambite | DEN@Viterbi | PDF (218752 KB) | |
| 32441R | 034 | Lab | 4:00-5:50pm | Friday | 6 of 30 | DEN@Viterbi | |
Introduction to research methods and data analysis techniques for human subject research; experimental research design, correlational research, data analysis, ensuring validity and ethics.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32457R | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 87 of 240 | Gale Lucas | SGM124 | | |
| 32458D | 034 | Lecture | 2:00-3:50pm | Tue, Thu | 4 of 30 | Gale Lucas | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32408R | 048 | Lecture | 2:00-5:20pm | Monday | 10 of 35 | Tatyana Ryutov | OHE100C | | |
| 32424D | 034 | Lecture | 2:00-5:20pm | Monday | 3 of 30 | Tatyana 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 | 65 of 75 | Clifford Neuman | OHE136 | | |
| 32425D | 034 | Lecture | 12:00-3:20pm | Friday | 18 of 30 | 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 | 4:00-5:50pm | Mon, Wed | 47 of 80 | Kristina Lerman | OHE132 | | |
| 32455D | 034 | Lecture | 4:00-5:50pm | Mon, Wed | 3 of 30 | Kristina Lerman | DEN@Viterbi | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 32411D | 048 | Lecture | 10:00-11:50am | Tue, Thu | 4 of 70 | Ning Wang | OHE136 | | |
| 32438D | 048 | Lecture | 5:00-8:20pm | Thursday | 6 of 70 | Luca Luceri | THH101 | | |
| 32442D | 034 | Lecture | 10:00-11:50am | Tue, Thu | 4 of 30 | Ning Wang | DEN@Viterbi | |
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 | 4:00-7:20pm | Tuesday | 69 of 70 | Keith Burghardt | OHE132 | | |
| 32444D | 048 | Lecture | 4:00-5:50pm | Tue, Thu | 9 of 70 | Seon Kim | MRF340 | | |
| 32426D | 034 | Lecture | 4:00-7:20pm | Tuesday | 9 of 30 | Keith Burghardt | 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 | 3:00-4:50pm | Mon, Wed | 88 of 240 | Wensheng Wu | SGM123 | | |
| 32423D | 034 | Lecture | 3:00-4:50pm | Mon, Wed | 7 of 30 | Wensheng Wu | DEN@Viterbi | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 32445R | 048 | Lecture | 12:00-1:50pm | Mon, Wed | 162 of 200 | Mohammad Reza Rajati | THH201 | | |
| 32414R | 048 | Lecture | 4:00-5:50pm | Tue, Thu | 80 of 80 | Mohammad Reza Rajati | OHE122 | | |
| 32443D | 034 | Lecture | 4:00-5:50pm | Tue, Thu | 15 of 30 | Mohammad Reza Rajati | DEN@Viterbi | |
Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on System Building with Spark. Case studies.
- Prerequisite: 1 from (DSCI 551 or CSCI 585) and 1 from (DSCI 552 or CSCI 567)
- Note: DSCI students must take DSCI 551 and DSCI 552 prior to taking DSCI 553.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32418R | 048 | Lecture | 6:00-9:20pm | Wednesday | 98 of 200 | Wei-Min Shen | SGM124 | | |
| 32446D | 034 | Lecture | 6:00-9:20pm | Wednesday | 8 of 30 | Wei-Min Shen | DEN@Viterbi | |
Graphical depictions of data for communication, analysis and decision support. Cognitive processing and perception of visual data and visualizations. Designing effective visualizations. Implementing interactive visualizations.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32459R | 048 | Lecture | 2:00-5:20pm | Tuesday | 30 of 75 | Luciano Nocera | OHE136 | | |
| 32460D | 034 | Lecture | 2:00-5:20pm | Tuesday | 3 of 30 | Luciano Nocera | DEN@Viterbi | |
The practice of User Experience Design and Strategy principles for the creation of unique and compelling digital products and services.
- Note: Students outside the DSCI/CSCI program may request this course on myViterbi.usc.edu beginning on December 16th.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32406D | 048 | Lecture | 1:00-4:20pm | Friday | 40 of 40 | David Chan | VHE217 | | |
| 32462D | 048 | Lecture | 5:00-8:20pm | Friday | 37 of 40 | David Chan | VHE217 | |
Foundations, techniques and algorithms for building knowledge graphs and doing so at scale. Topics include information extraction, data alignment, entity linking and the Semantic Web.
- Corequisite: 1 from (DSCI 551 or INF 551 or CSCI 585) and 1 from (DSCI 552 or INF 552 or CSCI 567)
- Note: DSCI students must take DSCI 551 and DSCI 552 prior to taking DSCI 558.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32420R | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 8 of 70 | Jay Pujara | THH102 | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 32412R | 048 | Lecture | 10:00-11:50am | Tue, Thu | 21 of 80 | Young Cho | GFS116 | |
Supervised learning. Linear regression, cross validation, ridge and lasso regression, logistic regression, k-nearest-neighbors, decision trees, random forest and gradient-boosting models, support vector machines, neural networks.
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 31546D | 048 | Lecture | 12:00-1:50pm | Mon, Wed | 9 of 40 | Maryam Pishgar | OHE100D | PDF (209631 KB) | |
| 31729D | 048 | Lecture | 12:00-1:50pm | Tue, Thu | 4 of 30 | Tao Ma | DMC203 | PDF (145339 KB) | |
| 31731D | 048 | Lecture | 4:00-5:50pm | Tue, Thu | 3 of 65 | Tao Ma | THH208 | PDF (145300 KB) | |
| 31746D | 034 | Lecture | 12:00-1:50pm | Mon, Wed | 3 of 20 | Maryam Pishgar | DEN@Viterbi | PDF (209631 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 | 10:00-11:50am | Tue, Thu | 1 of 10 | Brent Liu | DEN@Viterbi | | |
| 29310D | 048 | Lecture | 10:00-11:50am | Tue, Thu | 20 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 10 | OFFICE | |
Course content to be selected each semester from recent developments in Data Science.
- Note: DSCI 599 D-Clearance Request Form: forms.gle/m3TVrrJTeE6MwLLL9
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine Learning for a Secure Internet | ||||||||||
| 32456D | 048 | 4.0 | Lecture | 8:00-9:50am | Tue, Thu | 3 of 40 | John Heidemann | GFS207 | PDF (266541 KB) | |
| Generative Artificial Intelligence, Large Language Models, and Applications | ||||||||||
| 32461D | 048 | 4.0 | Lecture | 4:00-5:50pm | Mon, Wed | 31 of 31 | Fred Morstatter | GFS222 | PDF (312397 KB) | |