This course on e-government aims to teach learners about the scope of e-government, databases, biometrics, identification, verification, usability, and accessibility. By the end of the course, students will be able to understand modernizing government, different database structures, biometric data usage, usability principles, and ethical considerations in e-government. The course utilizes a combination of theoretical explanations, case studies, and practical examples to impart knowledge. It is designed for individuals interested in understanding the intersection of information technology and government services, including students, professionals, and policymakers.
Overview
Syllabus
- Introduction
- Learning outcomes
- 1 E-government
- 1 E-government
- 2 Scope of e-government
- 2 Scope of e-government
- 2.1 Modernising government
- 2.2 Central and local government
- 2.3 Styles of presentation
- 3 Databases
- 3 Databases
- 3.1 Tables and flat databases
- 3.2 Problems with flat databases
- 3.3 Entities and attributes
- 3.4 Using a query language
- 3.5 Other kinds of data
- 3.6 Viewing the data
- 3.7 Databases and XML
- 3.8 Data modelling and databases
- 4 Biometrics, identification and verification
- 4 Biometrics, identification and verification
- 4.1 Data and biometric data
- 4.2 Data for identification
- 4.3 Identification systems
- 4.4 False matches and false non-matches
- 4.5 Typical false match rates
- 4.6 False identification
- 4.7 Identification errors and the national database
- 4.8 Verification
- 4.9 Ethical, social and political aspects
- 5 Usability and accessibility
- 5 Usability and accessibility
- 5.1 Introduction
- 5.2 Usability principles
- 5.3 Accessibility
- 6 E-government: other views
- 6 E-government: other views
- Conclusion
- References
- Acknowledgements
