CSE 108C: Comp Encrypted Data
University of California, Santa Cruz
Introduction to privacy-preserving computation. Students understand and learn how to build end-to-end privacy-preserving systems. Topics cover different areas of private computation, secure multiparty computation, (fully) homomorphic encryption, anonymous communication, oblivious RAM and oblivious computation, hardware enclaves, structural and searchable encryption, and cryptanalysis topics.
Average GPA: 3.49
Grade distribution records: 35 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 4 | 11.4% |
| A | 16 | 45.7% |
| A- | 4 | 11.4% |
| B+ | 1 | 2.9% |
| B | 3 | 8.6% |
| B- | 1 | 2.9% |
| C | 1 | 2.9% |
| F | 2 | 5.7% |
| P | 1 | 2.9% |
| NP | 1 | 2.9% |
| W | 1 | 2.9% |
Based on 35 student grade records across 1 term and 1 professor.
Instructors
- Ioannis Demertzis 35 students, Average GPA 3.49