CSC-842
BS
Research in Social Computing
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Introduction to social computing – goals, challenges, and recent research; social computing platforms – blogging, social networking, professional social computing platforms; collecting social computing data – Application Programming Interfaces (APIs), crawling, online surveys, benchmarks; research methods in social computing – descriptive methods, predictive methods, geospatial methods; qualitative research methods for social computing – focused groups, interviews, semiotics, opinion mining; spatial analysis methods – spatial interpolation, spatial regression, spatial visualization; temporal analysis methods – temporal data representation, analyzing time series data, prediction and grouping in temporal data; network-science based methods – graphs, nodes, edges, centrality measures, community detection.
In Programmes
PhD
PhD (Computer Science)
Electives Pool —
Elective (Current Scheme)
MPhil
MPhil (Computer Science)
Electives Pool —
Elective (Current Scheme)