Teaching and Advising Experience

Courses Taught

Northeastern U. CS 6240: Parallel Data Processing in MapReduce

F11, F12, S13
Graduate course. This course covers techniques for analyzing very large data sets. We introduce the MapReduce programming model and the core technologies it relies on in practice, such as a distributed file system. Related approaches and technologies from distributed databases and Cloud Computing will also be introduced. Particular emphasis is placed on practical examples and hands-on programming experience. Both plain MapReduce and database-inspired advanced programming models running on top of a MapReduce infrastructure will be used.

Northeastern U. CS 6220: Data Mining Techniques

F09, S10, S11, S12
Graduate course. This course covers various aspects of data mining including data preprocessing, classification, ensemble methods, association rule mining, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large database.

Northeastern U. CS 3200: Database Design

F10, S12, F12
Upper division undergraduate course. This course studies the design of relational databases, including the entity-relationship model, normalization, relational algebra, SQL, triggers, stored procedures, indexing, elementary query optimization, and fundamentals of concurrency and recovery. The class project involves working with a commercial relational database management system and accessing it from an application.

Graduate course. We discuss influential and cutting edge research papers from academia and industry research groups. The course also has a project requirement where students can choose a research project related to large-scale data analysis.

Upper division undergraduate course. CS/INFO 330 is taken by third and fourth-year undergraduate students. It is offered jointly by the Computer Science department and the Information Science Program. This course introduces students to modern database systems and three-tier application development with a focus on building web-based applications using database systems. Concepts covered include the relational model and query languages, data modeling, normalization, three-tier architectures, Internet data formats and query languages, server- and client-side technologies, and an introduction to web services. Students also build a database-backed website with Java EE technology.