What's New

Dr. Anand Mishra and Dr. Aniruddha Khuman have launched a first-of-its-kind project for Second Year Biotechnology students - Project CBDB. As part of the Additive Curriculum framework, this innovative project interfaces Computational Biology with Database Management System (DBMS).

In the first group that deals with Chromosome Mapping, students will delve into analyzing genomic sequences obtained from databases like NCBI. They will engage in query processing, sequence alignment, design of a relational database schema, and visualization of data.

In the second group,  Sequence Alignment and Analysis, students will explore biological sequences from databases like NCBI and UniProt. This phase involves converting a semi-structured database to a structured database and using the data for storage and multiple analysis. 

While emphasizing a comprehensive understanding of database concepts and their practical application in genome analysis, Project CBDB also aims to enrich students' higher-order thinking skills like analysis and synthesis.

For more detailed information and guidelines, refer to the documents attached below.

DigiSEL (Digital Storytelling in English Literature) is an innovative project aimed at interfacing the realms of English Literature and Technology. Facilitated by Dr.Ratika Kaushik, this project aims at cultivating key skills such as research, documentation, critical thinking, and digital storytelling in students of English Literature. 

Students are encouraged to apply for mentorship in either the Project Circuitech (workshop practice) or i-MADS (MIV2) based on their interests and skills. They will get to hone the above skills in mentoring students in these projects.

Along with mentoring project teams of 1st year students, they will have the opportunity to leverage technology in literary aspects of storytelling. 

Discover the power of storytelling in the digital age with DigiSEL 2.0!

For detailed guidelines and information, refer to the documents attached below.

CODEC is a collaborative project which brings together 5 subjects.  An acronym for - ‘Computer Networks and Data Communication, Operating Systems, Database Management, ET and Cybersecurity', CODEC seeks to provide students an understanding of the inter-dependence of subjects in cutting-edge technology. This project is launched under the guidance of the faculties - Prof. Vijay Mandke, Dr. Kumar Nitesh, Dr. Anand Kumar Mishra, Dr. Anirban Das, Prof. Meera Datta, Prof. Surendar Singh, Prof. Manish Hurkat and Prof. Dheeraj Tripathi for 2nd Year BTech students. NUtons work on projects carried forward from the previous semester which involved integrating Object-Oriented Programming with the hardware prototypes of their workshop practice projects.

For Database Management Systems, students would be required to create robust database structures, meticulously crafting entities and tables to lay the foundation for efficient data management. Under Operating Systems, they would employ profilers to assess applications on various platforms. For the Computer Networks & Data Communication component of the project, emphasis would be laid on demonstration of constructing network infrastructures for smooth data flow.

Under Cyber Security, students’ task would be to identify and mitigate potential vulnerabilities across the application and network infrastructure. Lastly, ET (Learning Technology Skills Futures), focuses on honing learning skills by identifying and aligning learning and business processes.

For more detailed information and guidelines, refer to the documents attached below.

The project i-MADS , Image Processing using Math & Data Structures is tailored for first-year students, currently enrolled in the courses - Linear Algebra & Differential Equations and Data Structures & Algorithms. Under the expert guidance of Dr. Sachin Pathak, Dr. Dinesh Kumar, Dr. Shweta Malwe and Dr. Supratik Banerjee, this industry-linked project seamlessly integrates mathematical principles with computer science concepts.

In this integrated project, students explore the application of key linear algebra and data structures concepts in image processing, leveraging industry-utilized tools like LabelBox. This gives NUtons hands - on exposure to real life industry work situations.

Spanning 6-8 weeks, this project is mentored by second-year students who have had exposure to it last year. Additionally, students get to interact with industry professionals, gaining first hand knowledge from them making this  project a wonderful opportunity to bridge theory with practical industry applications.