Found 8 relevant results in 1.59s where lecturer="Nesime Tatbul Bitim"
This seminar course will discuss research topics in the area of information systems. We will read recent research papers on a selected topic, and present/discuss them in class. The course is offered every Fall semester.
This seminar course will discuss research topics in the area of information systems. We will read recent research papers on a selected topic, and present/discuss them in class. The course is offered every Fall semester.
This advanced seminar explores current research issues that arise in large-scale data management systems. Topics vary from year to year, and may include sensor data management, data stream processing and dissemination, advanced query processing and optimization techniques. Students are expected to give presentations, participate in class discussions, and perform a small-scale semester assignment.
This advanced seminar explores current research issues that arise in large-scale data management systems. Topics vary from year to year, and may include sensor data management, data stream processing and dissemination, advanced query processing and optimization techniques. Students are expected to give presentations, participate in class discussions, and perform a small-scale semester assignment.
The purpose of this laboratory course is to practically explore modern techniques to build large-scale distributed information systems. Participants will work in groups of three or more students, and develop projects in several phases. The course is offered in both Fall and Spring semesters.
The seminar deals with a current topic in distributed information systems. Students are expected to attend the entire seminar, choose a topic for presentation (may be either a collection of research papers or describing a system and/or evaluating a concrete product). Students are evaluated in the knowledge gained, the presentation made and the report they will present at the end of the semester.
The purpose of this course is to teach students how to carry out massively parallel data analysis using MapReduce as the programming abstraction and Hadoop on top of a (large) cluster of machines in order to get hands on experience and solve real problems.
This course explores the fundamental concepts in design and implementation of networked information systems, with a special emphasis on issues related to data management. In addition to the classical topics of distributed information systems, we will also study modern applications involving the web, peer-to-peer systems, sensor networks, and data stream processing, to name a few.