Advanced Topics in Database Systems
Date/Time: Tuesday and
Thursday, 4:00pm - 5:20pm.
Mohamed Eltabakh, FL-235, firstname.lastname@example.org
Tuesday: 3:00pm - 4:00pm, Thursday: 3:00pm - 4:00pm
Overview (Catalog Info)
Database systems provide an efficient and convenient environment for
processing disk-resident data. Typical Database Management Systems
(DBMSs) provide features such as indexing structures, concurrency
control, recovery control, transactional models, and query
optimization. Typical DBMSs have been designed to address the
requirements of retail- and banking-like systems. However, this narrow
view of DBMSs has changed significantly over the last two decades to
include emerging applications from various domains. In this course we
will cover several of advanced techniques in the areas of large-scale
data analytics (Hadoop and MapReduce infrastructures), scientific data
management, distributed and parallel databases, data integration, and
cloud computing. We will also cover active databases, object-relational
and semi-structured data models, and OLAP techniques. The exact subset
of topics will vary depending of the students' interest and
availability of time.
There are several objectives from this course including:
1- Learning state-of-art techniques in database systems
and information management that you can apply to your future research
and/or your practical work.
2- Learning how the prepare and present technical
papers which is an essential skill for students and researchers.
3- Learning how to review papers. Reviewing
technical and scientific papers is a skill that you need to develop.
Throughout this course, you will review several papers.
4- Working in a semester-long project that can
potentially lead to a publication.
The course is organized as
series of seminars presented by the instructor and students. The
instructor will present several lectures covering the state-of-art
techniques in various topics. Around 60%-70% of the lectures will be
covered by the instructor. Each student is expected to present one
paper in a certain topic.
Students will also form terms of two to work on the course projects. An ideal project will involve implementing some of the
techniques covered in class along with some modifications/extensions to
them, or performing comparative study between alternative techniques.
However, the project is not limited to the covered material. A good
project would possibly result in writing a publishable paper.
are expected to have strong background and knowledge of relational
database management systems. Prior courses in databases, e.g., CS542, CS4432, or
equivalent courses, are recommended. Also students are expected to have
strong skills in programming languages such as C or Java.
Course Load & Grading Policy
This course will have 1 presentation per student over
the entire semester, 3 codeing projects, and 3 written homeworks. Also,
there will be 2 quizzes on the material covered by students'
The course will involved either a final exam or a final project. The
course grades are divided as shown below.
| Homeworks (3)
addition to this website, the course is also available at blackboard.wpi.edu.
Please use the discussion board available at blackboard.wpi.edu
for any course-related discussion and exchange of emails.