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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Fall 2022 Electrical Engineering and Computer Science E6897 section 001 Topics in Information Processing Cloud Data Infrastructure | |
| Call Number | 11861 |
| Day & Time Location |
F 10:10am-12:40pm 825 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Asaf Cidon |
| Type | SEMINAR |
| Method of Instruction | In-Person |
| Course Description | Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. |
| Web Site | Vergil |
| Department | Electrical Engineering |
| Enrollment | 12 students (20 max) as of 5:21PM Thursday, September 29, 2022 |
| Subject | Electrical Engineering and Computer Science |
| Number | E6897 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate, GSAS |
| Campus | Morningside |
| Section key | 20223EECS6897E001 |
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