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Informatics (INF)
- informatics.usc.edu D class assignments for graduate students are only available on line at: myviterbi.usc.edu. Once you create your myViterbi profile, select the "D-Clearance Request Manager" to submit requests for graduate INF 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
Programming in Python for retrieving, searching, and analyzing data from the Web. Programming in Java. Learning to manipulate large data sets.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32401D | 048 | Lecture | 5:00-7:20pm | Tuesday | 27 of 40 | Yigal Arens | KAP145 |   | |
| 32447R | 048 | Lab | 5:00-6:50pm | Thursday | 27 of 40 | KAP158 | |
Analysis of computer security and why systems are not secure. Concepts and techniques applicable to the design of hardware and software for Trusted Systems.
- Prerequisite: INF 519
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32416D | 048 | Lecture | 2:00-5:20pm | Monday | 11 of 30 | Tanya Ryutov | OHE100D | PDF (588997 KB) | |
| 32419D | 034 | Lecture | 2:00-5:20pm | Monday | 4 of 10 | Tanya Ryutov | DEN@Viterbi | PDF (588997 KB) | |
Preservation, identification, extraction and documentation of computer evidence stored on a computer. Data recovery; File System Analysis; Investigative Techniques and Methodologies; Forensic Reports and Presentations.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32408D | 048 | Lecture | 10:30-12:20pm | Tue, Thu | 13 of 30 | Joseph Greenfield | OHE122 | PDF (735491 KB) | |
| 32438D | 034 | Lecture | 10:30-12:30pm | Tue, Thu | 4 of 12 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32412D | 048 | Lecture | 12:00-3:20pm | Friday | 13 of 40 | Clifford Neuman | OHE100C | | |
| 32413D | 034 | Lecture | 12:00-3:20pm | Friday | 7 of 10 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32405D | 048 | Lecture | 3:30-5:20pm | Mon, Wed | 50 of 50 | Wensheng Wu | THH116 | PDF (237932 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32410D | 048 | Lecture | 3:30-6:50pm | Monday | 50 of 50 | Satish Thittamaranahalli Ka | SOSB44 | PDF (69143 KB) | |
| 32431D | 048 | Lecture | 8:00-9:50am | Tue, Thu | 48 of 50 | Mohammad Reza Rajati | SOSB4 | PDF (148413 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32403D | 048 | Lecture | 6:00-7:50pm | Mon, Wed | 61 of 61 | Yao-Yi Chiang | ZHS352 | PDF (78679 KB) | |
| 32439D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 57 of 60 | Wensheng Wu | THH210 | PDF (158859 KB) | |
Understand and apply user interface theory and techniques to design, build and test responsive applications that run on mobile devices and/or desktops.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32427R | 048 | Lecture | 2:00-5:20pm | Tuesday | 24 of 25 | Jaime Levy | KAP113 | PDF (196076 KB) | |
The practice of User Experience Design and Strategy principles for the creation of unique and compelling digital products and services.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32436R | 048 | Lecture | 2:00-4:50pm | Monday | 25 of 25 | Jaime Levy | KAP167 | PDF (216019 KB) | |
| 32432R | 048 | Discussion | 5:00-5:50pm | Monday | 25 of 25 | KAP137 | |
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.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32421D | 048 | Lecture | 3:30-6:50pm | Tuesday | 15 of 50 | Wensheng Wu | VKC156 | PDF (239960 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.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32415D | 048 | Lecture | 3:30-4:50pm | Tue, Thu | 19 of 60 | Carl Kesselman | KAP163 | PDF (89178 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 |
|---|---|---|---|---|---|---|---|---|---|
| 32429D | 048 | Lecture | 2:00-5:20pm | Thursday | 18 of 25 | Anna Farzindar | KAP113 | PDF (161615 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 INF. To register, enroll in BME 528.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29305D | 034 | Lecture | 9:00-11:50am | Friday | 1 of 10 | Brent Liu | DEN@Viterbi | | |
| 29310D | 048 | Lecture | 9:00-11:50am | Friday | 6 of 20 | Brent Liu | OHE100C | |
Research leading to the master's degree; maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
- Restriction: Registration open to the following major(s): Informatics
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 32448D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 7 of 30 | OFFICE | |