Computer Science and Engi

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

NIETM offers a four-year undergraduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This c

Course Features:

  • Fees: As per guideline
  • Duration: 4 years
  • Semester: 8
  • Lessons: 8
  • Course type: Full Time
  • Total Seat: 60
  • Year of Start: 2022
  • General Choice: 419291110
  • TFWS Choice Code: 419291110
  • Shape

NIETM offers a four-year undergraduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.

The course is designed to give the students enough exposure to the various applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques, and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. Proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning, and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective and learn about agents, search, probabilistic models, perception and cognition, and machine learning.

Course Overview

B. Tech in CSE (AI&ML) offered by the Computer Science and Engineering Department provides budding engineers with a spectacular array of courses dedicated to frontiers in the field of Artificial Intelligence and Machine Learning (AI&ML) with a foundation of Computer Science & Engg. The 4-year full-time program presents exposure to hands-on technologies to create applications and solutions for the world that we live in.

Departmental Infrastructure

This is an exciting period for the Computer Science and Engineering profession as the rapidly changing technology creates many opportunities and challenges. Department of Computer Science and Engineering is prepared to meet the challenges and is playing a leadership role in shaping the education of the 21st Century by providing unique educational and research opportunities at the forefront of Computer Science and Engineering and their applications.

The Department of Computer Science and Engineering established in the year 2009 with the intake of 60, offers UG programs in Computer Science and Engineering at Nagarjuna Institute of Engineering, Technology and Management, Nagpur. The Department is working hard to make students who are well acquainted with the core domain areas in Computing as well as enhanced programming skills and who will be able to disseminate their analytical abilities.

Our aim is to provide our students the lifelong learning and leadership skills that enable them to grow in their professions and advance to positions of responsibility through effective Industry-Institute Interaction.

Hi-Tech Computer Laboratories

NIETM offers an excellent infrastructure with ‘State of the Art’ Computer Laboratories. All the computer labs are well equipped with the latest computer configuration, peripherals, and software.

Faculty Profile

Program Educational Objectives(PEO’s)

BTech Computer Science and Engineering (AI&ML) graduates should be able to:

PEO1: Carry out engineering projects, develop new products, and pursue higher studies in Computer Science with an emphasis on Artificial Intelligence & Machine Learning.

PEO2: Innovate and be creative in the profession; apply analytical skills and demonstrate research capabilities in the field of computer science and
engineering.

PEO3: Work in multidisciplinary environments and be responsive to the changing needs of society.

PEO4: Communicate effectively, display leadership skills, and demonstrate professionalism.

PEO5: Engage in lifelong learning, apply the knowledge judiciously, and remain continuously employable.

Program Specific Outcomes(PSO’s)

PSO1: Analyse and solve real-world problems by applying a combination of hardware and software.
PSO2: Formulate & build optimized solutions for computationally intensive applications.
PSO3: Use tools and techniques in Artificial Intelligence & Machine Learning for solving problems.
PSO4: Apply intelligent models for multidisciplinary areas.

Program Outcomes: (POS)

BTech Computer Science and Engineering (AI&ML) graduates will be able to:

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

  • Shape