DataHour: Software Engineering- A Methodology for Reliable Software

Online 08-12-2022 08:30 PM to 08-12-2022 09:30 PM
  • 242


  • Knowledge and Learning


DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Programming, even today, is more of an art where most people learn only by watching others perform and through habit, with little direction as to the principles involved.

In this DataHour, Vineeth will stress upon the need for conscious application of programming principles to produce reliable software. Reliable programs are no more a luxury in many critical areas. Unreliable software can cause severe harm to the society, including loss of lives. The proposed software engineering methodology emphasizes on specification and design before coding. The methodology uses separation of concerns as the key principle to address complexity of problems. The methodology also adopts a modular design strategy to control the complexity of software with procedural abstraction and data abstraction as the basic principles behind it. The approach takes the view that software as a product is not just the code but a package consisting of the specification, the program, and the proof that the program meets the specification.

 Interest in learning the emerging and trending technologies.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Vineeth Paleri

Professor, National Institute of Technology, Calicut

Vineeth is currently working as Professor in Department of Computer Science and Engineering at National Institute of Technology, Calicut. He is a Phd scholar from IISc, Bangalore in the domain of computer science and automation. He is also a visiting assistant professor and scientist in various universities like Purdue, West Lafayette, IIT, NIT etc. He has also published various articles and research papers. 

Connect with Vineeth on linkedin


Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest



We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.