teaching · Retrieved date not recorded
- 17 observed schedule assignments across 7 courses.
AI-generated overview
Surya Teja Gavva is a Rutgers Computer Science faculty member and Assistant Teaching Professor.
Sources (4)A quick visual read of the available student signals.
Not enough student evidence yet
Category ratings stay blank until the source supports them.
Courses taught
7
17 observed sections
SIRS history
0
historical records
Selected professor
Gavva
7 courses · 0 research links
Highlights surfaced by the AI overview.
Gavva's observed Scarlet Sync teaching record spans 7 courses. The cited professional context is summarized as: Analysis of Boolean functions, discrepancy theory, discrete probability, harmonic analysis, L-functions, and automorphic forms.
Analysis of Boolean functions, discrepancy theory, discrete probability, harmonic analysis, L-functions, and automorphic forms.
Rutgers Department of Computer Science faculty
2025 Rutgers Open and Affordable Textbooks award recipient for Introduction to Discrete Structures I
No external identity match is asserted
4 evidence records in this static profile.
teaching · Retrieved date not recorded
student-feedback · Retrieved date not recorded
official-profile · Retrieved date not recorded
official-profile · Retrieved date not recorded
AI-generated overview
Surya Teja Gavva is a Rutgers Computer Science faculty member and Assistant Teaching Professor.
Sources (4)A quick visual read of the available student signals.
Not enough student evidence yet
Category ratings stay blank until the source supports them.
Courses taught
7
17 observed sections
SIRS history
0
historical records
Selected professor
Gavva
7 courses · 0 research links
Highlights surfaced by the AI overview.
Gavva's observed Scarlet Sync teaching record spans 7 courses. The cited professional context is summarized as: Analysis of Boolean functions, discrepancy theory, discrete probability, harmonic analysis, L-functions, and automorphic forms.
Analysis of Boolean functions, discrepancy theory, discrete probability, harmonic analysis, L-functions, and automorphic forms.
Rutgers Department of Computer Science faculty
2025 Rutgers Open and Affordable Textbooks award recipient for Introduction to Discrete Structures I
No external identity match is asserted
4 evidence records in this static profile.
teaching · Retrieved date not recorded
student-feedback · Retrieved date not recorded
official-profile · Retrieved date not recorded
official-profile · Retrieved date not recorded