CSE 291: Topics in Advanced Analytics
Course Overview and Goals
This is a research-oriented course on the emerging area of advanced analytics, at the intersection of data management, machine learning, and systems. This area is a driving force behind several modern data-driven applications that use large-scale machine learning to analyze large and complex datasets, including enterprise business intelligence, healthcare, recommendation systems, social media analytics, Web search, Web security, and Internet of Things. Students will learn about the latest research in this area and get hands-on experience doing either a research project or an in-depth survey of one of the course topics.
Lectures: TueThu 2:00-3:20pm; CSE 2154
Instructor: Arun Kumar; Office: CSE 3218; Office Hours: TueThu 3:20-4:00pm
TA: Nishant Agarwal (niagarwa [at] eng.ucsd.edu)
Piazza: CSE 291G
Courses on database systems and machine learning (at UCSD or elsewhere), with good grades in both courses, or prior research experience in a relevant topic, subject to the consent of the instructor.
Course Content and Format
Project Performance Metrics
The key metrics for the survey projects are diligence, precision, and technical depth, while creativity and independence are additional metrics for the research projects. The students that perform outstandingly in the research projects will possibly be offered Research Assistant positions in the instructor's research group and/or encouraged to continue working on the project with the instructor to publish at a top research venue.