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Criminal Justice Data Analysis - 6


Starting Date: 10-07-2023
Closing Date: 08-09-2023

Description

Research is the core of modern professional internal security issues today. Criminal justice is increasingly a data-driven function and CJ organizations process substantial data that reflect the social, political, economic factors impacting Indian society. Vast amount of criminal justice data is being collected throughout India. The nation-wide Crime and Criminal Tracking Network and Systems (CCTNS), as well sixty years of Crime in India data, new sources such as ‘Dial 100’ system across the country are providing big data to practitioners, researchers and policy makers. Combined with additional social, political and economic data and geographic information systems that provide spatial maps and allow incorporation of temporal phase, significant new heights can be scaled for effective crime control with data analytics and visualization.

The major objective of this course will be to train security personnel in analytic tools for study of crime and its control in India. Big Data analytics is among today’s fastest-growing professions and this course seeks to build skills in applying its techniques for internal security of the country. The course will incorporate subject matter from the disciplines of criminology, computing science, mathematics, geography, economics, psychology, management, philosophy, and ethics, with special emphasis upon gender, race and ethnic studies. Topics will cover Big Data Analytics comprising machine learning and AI applications as well as qualitative methods. Students will study ways of understanding and modeling of the complex social & political environment, and with these models better understand how to improve approaches to crime reduction and the use of analytics in criminal justice issue. 

Click here to Register

For more details, please visit the CCJR website by clicking here.

Student feedback for the course CJDA-1

Other Course evaluations [CJDA 2-5] may be seen from the Registration page

Instructors

Dr. Arvind Verma
(arvindcjus@cse.iitk.ac.in)

     And Several Guest Instructors

Operational Assistants

Akash Misra
Deepak Kumar
Revathy K T
Sugatha Chaturvedi

Course Content

Module 1 Weeks 1: Criminological Perspectives       July 10-14

Class Meetings:           Monday, Wednesday & Friday at 9.00 pm IST on Zoom

 

Module 2 Week 2: Qualitative Analysis and Historiographic July 17-20

Class Meetings:          Monday Tuesday, Thursday at 9.00 pm IST on Zoom

                                    We will have guest lectures during this week

 

Module 3 Week 3: Model building through Regression July 26-28

Class Meetings:           Wednesday, & Friday at 9.00 pm IST on Zoom

 

Module 4 Weeks 4:    Network Analysis        Aug 31 - Aug 4

Class Meetings:           Monday, Wednesday & Friday at 9.0 pm IST on Zoom

                                    We will have guest lecture during this week

Assignment on Network due by Aug 13

 

Module 5: Week 5:    Machine Learning & Artificial Intelligence Aug 7-Aug 11

Class Meetings:           Tuesday, Wednesday & Thursday at 9.00 pm IST on Zoom

                                    Guest lectures during this week

                                                Assignment on ML due by Aug 20

NO CLASS AUG 14-18 WEEK DUE INDEPENDENCE DAY

Module 6 Weeks 6:    Data Visualization & Agent Based Modeling       Aug 21- Aug 25

Class Meetings:           Tuesday, Thursday & Friday at 9.0 pm IST on Zoom

                                    We will have guest lectures during this week

Team Assignment on Visualization due by Aug 22 in class

 

Module 7 Weeks 7/8:      Conceptualization of research project Aug 28-Sept 1

Students work on developing research question and design

Class Meetings:           Tuesday, Thursday & Friday at 9.00 pm IST on Zoom

We will have guest lectures during this week

           

Module 8 Sept 4-8           Project Presentations by participants

 

Note: This is a tentative schedule and will be modified based upon contingencies and participant demands

Audience

The course is designed for officers of Indian police, private security managers, senior officers of defense services, internal security policy analyst, CJ practitioners, and researchers. In particular, this course is designed for those seeking to enhance their skills and capabilities in crime prevention techniques. Graduate students of political science, sociology, criminology, computer science, mathematics, and management will also benefit from this course.

Educational Requirements

The minimum educational requirement is a bachelor’s degree and experience of working with computers. In this course, you’ll learn quantitative and qualitative methods for data analysis through hands-on exercises and video instruction from IIT Kanpur faculty and guest faculty from other institutions around the globe.

Time Frame

You can complete all course requirements in this course and earn your certificate in 10 weeks, spending 5-7 hours per week.

Evaluation

Weekly Assignments/ Exercises/ Quizzes    90%
 Presentation                                                 10%

Outcomes

  • Theories of crime that suggest why people commit crime
  • Building Criminal Justice Data Sources
  • Criminal Justice Data Visualization
  • Big data analytics, simulation, machine learning, network analysis, survey design in criminal justice issues, Data Security
  • Formulating crime control questions that can be tested using various methods.
  • Using CJ data to test policy outcome
  • Writing a draft publishable research article

About Certificates

After completion of all the assignments and successful presentation, the students will be awarded a Certificate in Criminal Justice Data Analysis by IIT Kanpur.