Narula Institute of Technology | cse-artificial-intelligence-machine-learning Department
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HOD Message

Dr. Sagarika Chowdhury

“Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop questioning.” -Albert Einstein

“Arise, awake, and stopnot till the goal is reached.” -Swamy Vivekananda

Artificial Intelligence and machine Learning (AI&ML) is a new, emerging field which consists of a set of tools and techniques used to extract useful information from data. Although is in the adoption stage in our country, but it has enormous potential to be utilized in various industries to solve complex problems. The major industries using Artificial Intelligence (AI) and Machine Learning (ML) include Agriculture, Education and Infrastructure, Healthcare, Transport, Banking, Cyber Security, Manufacturing, Entertainment, Hospitality and others.

The ability of a computer-controlled system to perform tasks that are mainly associated with human beings is called Artificial Intelligence (AI). The AI is a simulation of a machine’s natural intelligence that is programmed for communicating and learning human actions. They can perform human-like task and technologies merging with AI is continuing to grow.

Machine learning is a part of Artificial Intelligence that allows software applications in becoming more accurate at predicting outcomes without the need of being explicitly programmed. The machine learning algorithms utilize historical data as an input for predicting recent output values. Machine learning is crucial as it gives the enterprise a correct view of recent trends in business operation patterns and customer behaviour that supports the development of a new product.

The organisation Narula Institute of Technology (NiT) with a pool of distinguished faculties ensure a wide range of diverse learning experiences at both the undergraduate levels, with B.Tech. ranging from the fundamentals of Computer Science, Core Courses, Programming, Emerging Technologies like Big Data Analytics, Data Mining, Pattern Recognition,  IoT, AI, Machine Learning, Cyber Security, Blockchain, Professional Ethics, Research Methodologies, and Open-Source Technologies—to name just a few. Department of AI & ML has started its UG program B.Tech. CSE (AI& ML) with 120 intakes.

Narula Institute of Technology has had the honour of having a host of Multinational Companies visit the campus be it, Infosys, ITC-Infotech, TCS, Capgemini, Cognizant, Deloitte, Wipro, IBM, BYJU’S, Accenture just to name a few. Our close industry connections with these organizations ensure better job opportunities for our students through the campus placement drives with astounding packages creating a niche in the professional world.

We welcome students to be the part of Narula Institute of Technology to experience a new journey for a successful engineering career.

Dr. Sagarika ChowdhuryHead, Dept. of AI & ML, Narula Institute of Technology

Overview

“Learn from yesterday, live for today, hope for tomorrow. The important thing is not to stop questioning.” -Albert Einstein

Vision

To be an excellent centre for education in the field of Artificial Intelligence and Machine Learning with an aim to produce competent students with a strong theoretical and practical background, suitable for industries and research with social responsibilities.

Mission

  • M1: DM1: Development of models capable of learning from a knowledge-base and storing the acquired knowledge in terms of few learnable model parameters.
  • M2: DM2: Designing algorithms to optimally estimate model parameters based on suitable criteria and making use of these learnable model parameters for accurate predictions.
  • M3: DM3: Mould students to be technically competent for analysing data.
  • M4: DM4: Preparing students for successful professional careers in industry, academics and as an entrepreneur to the nation as a good human being.

Program Educational Objectives (B.Tech)

  • PEO1: Graduates are prepared to be employed in IT industries and be engaged in learning, understanding, and applying new ideas.
  • PEO2: Graduates are prepared to take up Masters / Research programs.
  • PEO3: Graduates are prepared to be responsible computing professionals in their own area of interest.
  • PEO4: Graduates are prepared to be good entrepreneur and responsible social representatives.

Program Outcomes (B.Tech)

  • PO1: Engineering knowledge
  • PO2: Problem analysis
  • PO3: Design and development of solutions
  • PO4: Investigation of complex problems
  • PO5: Modern tool usage
  • PO6: Engineer and society
  • PO7: Environment and sustainability
  • PO8: Ethics
  • PO9: Team work
  • PO10: Communication
  • PO11: Project management
  • PO12: Life-long learning

Program Specific Outcomes (B.Tech)

  • PSO1: PSO1. Apply the knowledge of data analytics to extract suitable features to represent patterns.
  • PSO2: PSO2. Developing models to categorise patterns into appropriate its class.
  • PSO3: PSO3. Developing models and algorithms for time-series / sequential data analysis for accurate future output prediction.

program

Under Graduate

4 years B.Tech Computer Science and Engineering (AI&ML)

Duration: 4 Years

Degree
B.Tech
Intake
120
Post Graduate

M.Tech Computer Science & Engineering

Duration: 2 Years

Degree
M.Tech
Intake
18

BOS

BOS Composition

BOS Minutes

Faculty Details

Infrastructure

Laboratory No Name of the Laboratory No. of students per setup
(Batch Size)
Important equipment Utilization
Lab 1 316L
Networking Lab and Web development Lab
35 PC:
 Acer Desktop G630 Intel Dual Core
Others:
48 port Cisco Managed Edge switch
  Utilized  
Lab 2 316O
Algorithm Lab and Software Engineering
35 PC:
A)  Dell Vostro 3268 Intel Core i3 7thGen (5)
B) Dell Vostro 3471 Intel Core i5 9thGen (19)
C) HCL Infiniti LA 330 Core 2 Duo(11)
Others: 48 port Cisco Managed Edge switch
  Utilized  
Lab 3 316F
DBMS Lab and Computer Graphics Lab
35 PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30)
B) Dell Vostro 3268 Intel Core i3 7thGen (4)
C) HP Dx7480 AB Micro Tower (1)
Others: Cisco Managed Edge switch
  Utilized  
Lab 4 316H
AI Lab and Data Structure Lab
35 PC:
Dell Optiplex 3020 Micro Intel Core i3 3rdGen
Others: 48 port Cisco Managed Edge switch
  Utilized  
Lab 5 316K
Programming Labs (OOP with Java)
And Programming Lab (C/Python)
35 PC:
A) HCL Infiniti LA 330 Core 2 Duo
Others:
48 port Cisco Managed Edge switch
  Utilized  
Lab 6 316E
Numerical Programming Labs
And Statistical Programming Lab
35 PC: A) Dell Vostro 3470 Intel Core i3 8thGen (30)
B) Dell Vostro 3268 Intel Core i3 7thGen (4)
C) HP Dx7480 AB Micro Tower (1)
Others: Cisco Managed Edge switch
  Utilized  
Lab 7 316R
Research Lab
15 PC:
A) HP 280G4 IntelCore i5 (15)
Others:
48 port Cisco Managed Edge switch
  Utilized  
Project Lab1  Project Lab 30 PC:
A) HP 280G4 IntelCore i5 (30)
Others:
48 port Cisco Managed Edge switch
  Utilized  

R & D

Academic Year No. of SCI / Scopus Journals No. of Books / Book Chapters No. of Conferences No. of IPR
2022-23 4 7+1(Book) 4 0
2023-24 15 6+6(Book) 11 9
2024-25 14 20+12(Book) 17 26

Events

Year No of Events/Webinar/Seminar/Workshops
2022-23 3
2021-22 6
2020-21 15
2019-20 5
2018-19 3
For Brouchre

Events Details

1
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