7- Student Assessment :-
a- Procedures used :-
a) Oral Examination.
b) Seminars.
c) Thesis.
b- Schedule :-
| Topic | Lecture | Tutorial/Practical | No. of Hours | 
| Introduction. | 1 | - | 3 | 
| Analytics. | 1 | - | 3 | 
| Declarative Approach to Entity Resolution. | 1 | - | 3 | 
| Transitive Closure of Data Records: Application and Computation. | 1 | - | 3 | 
| Semantic Data Matching: Principles and Performance. | 1 | - | 3 | 
| Application of the Near Miss Strategy and Edit Distance to Handle Dirty Data. | 1 | - | 3 | 
| Parallel General-Purpose Synthetic Data Generator SDDL. | 1 | - | 3 | 
| Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach. | 1 | - | 3 | 
| Mining E-Documents to Uncover Structures. | 1 | - | 3 | 
| Designing a Flexible Framework for a Table Abstraction. | 1 | - | 3 | 
| Information Quality Framework for Verifiable Intelligence Products. | 1 | - | 3 | 
| Interactive Visualization of Large High-Dimensional Datasets. | 1 | - | 3 | 
| Data Integration and Information Quality. Data Mining. | 2 | - | 6 | 
