MSc module Advances in Data Management

Spring Term 2017, Birkbeck

Course Aims and Syllabus

Course Schedule

Mon 9 Jan
Mon 16 Jan

Mon 23 Jan
Mon 30 Jan

Mon 6 Feb
Mon 13 Feb
Mon 20 Feb

Mon 27 Feb

Mon 6 March

Mon 13 March


Mon 20 March

Mon 8 May
Principles of Database Systems
Principles of Database Systems
Active and Deductive Databases
Lab 1: Database Programming
Query Processing and Optimisation
Lab 1 (cont'd)
Query Processing and Optimisation
Transaction Management
Distributed and Heterogeneous Databases
Lab 2: Ontology-based data integration and querying
Distributed and Heterogeneous Databases
Lab 2 (cont'd)
Parallel DBs; NoSQL, NewSQL & Big Data
Semi-Structured Data Management
Semi-Structured Data Management
Guest Lecture by Petra Selmer, Neo Technology: NoSQL and Graph Databases
Lab 2 (cont'd)
Web Data Integration; Wrap-up
Lab 3 (optional) : XML in DB2, MongoDB, Neo4J
Revision Lecture

Attendance at the Labs is compulsory. Teaching Assistant for the Lab sessions: Konstantinos Karoudis (konstantinos@dcs.bbk.ac.uk)

Office hours

If you wish to talk to Alex about the course, she is available on Mondays 5-5.30pm in her Malet Street office. Alternatively please email her to set up an appointment at a different time.

Lecture Notes

Additional resources are posted on the ADM Moodle for students enrolled on the module.

Coursework deadlines

Background reading