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Information Technology Program (ITP)
- http://itp.usc.edu/
- After the first week of classes each semester, all classes require d-clearance to register. D-clearance instructions are available at itp.usc.edu/advisement. The 'x' designation indicates that engineering students require prior departmental approval to count 100-level and above ITP courses for major credit.
Business technologies. Operating systems. Networks. Application software.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31890R | 055 | Lecture-Lab | 2:00-2:30pm | Tue, Thu | 0 of 20 | Gregg Ibbotson |  |
Web publishing using HTML, CSS and other Web technologies. Concepts and theory of Web site creation, page layout and production. Introduction to advanced topics.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31898R | 086 | Lecture-Lab | 3:00-4:35pm | Tue, Thu | 0 of 60 | Zune Nguyen | ONLINE | |
Introduction to Python; intended for students without prior programming experience.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31945R | 055 | Lecture-Lab | 3:00-4:35pm | Tue, Thu | 0 of 60 | Sinan Seymen | GFS118 | | |
| 32087R | 055 | Lecture-Lab | 11:00-12:05pm | MWF | 0 of 60 | Sinan Seymen | GFS118 | |
Introductory course in computer security. Fundamentals of information security management. Threats to information integrity. Ethical hacking concerns and practice. Policies and Procedures.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31833R | 086 | Lecture-Lab | 9:00-12:35pm | Saturday | 0 of 30 | Joseph Greenfield | ONLINE | |
Development of practical Python programming skills through project-based applications; "Pythonic" ways of solving problems in modern computational domains.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31999R | 059 | Lecture-Lab | 6:00-8:15pm | Wednesday | 0 of 60 | Gregory Pohlner | GFS118 | | |
| 32002R | 059 | Lecture-Lab | 6:00-8:15pm | Tuesday | 0 of 60 | Gregory Pohlner | GFS118 | |
Introduction to data analytics. Basics of databases, applied statistics, data visualization. Leverage data to make critical business decisions.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32005R | 055 | Lecture | 5:00-8:35pm | Mon, Wed | 0 of 60 | Sinan Seymen | GFS101 | |
Concepts and techniques in artificial intelligence; approaches in artificial narrow intelligence; applications of AI that are already changing society; ethical and social questions in AI.
- Prerequisite: ITP 216
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32009R | 055 | Lecture | 10:30-12:45pm | TuThS | 0 of 60 | Sinan Seymen,Nitin Kale | GFS118 | |
Modern web development techniques and technologies used to create web applications from ground up. Topics include front-end, back-end, and web servers.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32010R | 086 | Lecture-Lab | 2:00-5:35pm | Tue, Thu | 0 of 60 | Hannah Nguyen | ONLINE | |
Design, build, and train applied neural networks to solve real-world problems; implement neural networks for machine vision, image recognition, and object detection and tracking.
- Prerequisite: ITP 259
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32015R | 055 | Lecture | 2:00-4:15pm | MWF | 0 of 60 | Sinan Seymen,Nitin Kale | GFS118 | |
Hands-on approach to the fundamental modeling techniques and machine learning algorithms that enable students to build robust predictive models of real-world data and test their validity.
- Prerequisite: ITP 216
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32021R | 086 | Lecture | 1:00-3:15pm | MWF | 0 of 60 | Kristof Aldenderfer | ONLINE | |
Applied topics in machine learning, including transfer learning, reinforcement learning, generative adversarial networks and natural language processing using neural networks.
- Prerequisite: ITP 359
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32026R | 055 | Lecture | 5:00-8:15pm | Mon, Wed | 0 of 60 | Reza Jafarkhani | THH114 | |
Cyber legal issues, search and seizure, 4th amendment and digital evidence, warrants, private searches, wiretaps, tracking devices, workplace privacy.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32025R | 086 | Lecture | 5:00-8:35pm | Wed, Thu | 0 of 60 | Benny Forer | ONLINE | |