SIV851: Special Module on e-Governance

II semester: 2023-24

Subhash Bhalla


Class Timings: Monday and Thursday (17:00 - 18:30) (Friday 14:00-15:30)[TENTATIVE]
Room: 501 Bharti Bldg. (Tentative)
Classs Schedule: Class time plan to be revised , First meeting: March 11, 5pm
Notice
1. Please email subhalla.vfaculty@cse.iitd.ac.in with SIV851 in the Subject if you are interested in attending.
2. All the students interested in attending the course are requested to email a one page pdf indicating:
i. the reason for your interest in the course
ii. any prior reading that you may have done on the topic and
iii. your views on the issues to be covered in the course.

Overview

Course description and Objectives
1. To understand the policy and technology issues in digitisation and digital data requirements in governance - with special emphasis on demographic data, health, education, welfare and tax.
2. To understand the issues in building the data infrastructure: digital identity, issues in privacy, threats to civil liberty, data integrity, data security, facilitating analytics, risks of analytics.

Textbooks and notes

Lecture Schedule

Topics To be Covered

  • " Lect1: Introduction to e-governance " " elements of e-governance "

  • " Lect2: Computing for e-governance " " Change in ICT "

  • " Lect2.5: Tools and Techniques in e-governance " " Data Warehouse e-governance "

  • LECT 3: Tree-structured Data Document and Objects

  • LECT 4: Semi-structured Data Data in XML


  • Web Services in Practice: Case Examples

  • LECT 4(c): XML Query over XML resources


  • Further Reading: XML Book Chap.


  • Chapter Slides: XML Silberschatz XML notes

  • LECT 5: WEB SERVICES XML Applications and resources

  • Introduction to Web Services "The Article"

    • Book Chapter Down Load Sample ( Chapter 5 )

  • LECT 6: Research Problems Complexity in Distributed Systems and Web Services

    Class work 1

    Refer to lecture slides for Lect1 (slide 42). Based on reading material, please submit a report.
    References:
  • "a data warehouse enabled personalized agricultural advisory system" " Paper 1 "

  • "Futures of digital governance" " Paper 2 "

    • Class work 2

    Refer to lecture slides for Lect2 (last). Based on reading material, please submit a report.
    References:
  • "Big-Data Applications in the Government Sector" " Paper 3 "

    • Class work 3


  • EXERCISE: Assignment (submit by Fri 19h April )

  • XML Exercises and Homework Use BaseX for XML

  • Sample Files grid.xml and php.xml "The file Grid.xml "

    • "The file Php.xml "

    "The file xml-exercisese.tar "

    Prerequisites

    Evaluation

    The module will have reading and discussions for 12 to 15 hours. In addition, each participant will be required to scribe and present a topic. Evaluations will be based on peer and instructor review of class participation, quality of reports, Quizes and assignments and presentations. We will invite talks from the domains of policy, law and computer scientists specializing in big data analytics for ``targeting'' for special topics.
    Subhash Bhalla