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Department of Information Technology - Programmes Offered

Staff
PTA 16-2-2024
Extension Activities 16-02-2023
NDLI 2024
Crafting Machine Learning Brilliance
Alumni Meet 27-01-2024
Seminar on "Digital Marketing and Internship Opportunities"
Workshop on "Full Stack Development"
Intercollegiate Competition
Workshop on "Website Development using PHP"
Workshop on "Website Development using PHP"
Workshop on "Website Development using PHP"
Workshop on "Website Development using PHP"
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B.Sc (IT)

Eligibility:

A candidate who have passed Higher Secondary Examination. 

Duration: 3 Years

Strength: 60

Educational Objectives

  • To prepare the graduates for a successful career to meet the diversified needs of industry, academia and research.
  • To inculcate in graduates the qualities of leadership in technology innovation and entrepreneurship with effective communication skills, teamwork, ethics and to create ability for life-long learning needed in a successful professional career.

Program Specific Outcomes (PSOs)

  • Apply the knowledge of computing and mathematics appropriate to the discipline.
  • Apply current techniques, skills, and tools necessary for computing practice and to integrate IT-based solutions into the user environment effectively.
  • Use design and development principles in the construction of software systems of varying complexity.
  • An ability to use knowledge in various domains to identify real world problems and hence to provide solution to new ideas and innovations.
  • Design, document and develop robust applications by considering human, financial and environmental factors using cutting edge technologies to address individual and organizational needs.

Program Outcomes

  • Enhance the skills and new computing technologies through practical and theoretical knowledge of computer science and software engineering.
  • Practice communication, problem solving and decision-making skills through the use of appropriate technology and with the understanding of the business environment technology and with the understanding of the business environment.
  • Identify, design, and analyze complex computer systems and interpret the results from those systems.
  • Configure and administer database servers to support contemporary business environments.
  • Apply the knowledge of mathematics, science and computing in the core information technologies.
  • Analyze the impact of computing on individuals, organizations and society, including ethical, legal, security, and global policy issues.
  • Learn future technologies through acquired foundational skills and knowledge and employ them in new business environments.
  • Pursue higher education or practice as computing professionals to contribute to the economic development of the region, state and nation.
Certificate Course in AI & ML

Eligibility:

Any Student Completed/Pursuing the UG Degree

Duration: 6 months

Strength: 40

Educational Objectives

  • This certificate Course is an introductory course in Artificial Intelligence and Machine learning.
  • The goal is to acquire knowledge on intelligent systems and agents, formalization of knowledge, reasoning with and without uncertainty, machine learning and applications at a basic level.

Program Specific Outcomes (PSOs)

  • An ability to apply scientific and technological principles underlying Artificial Intelligence.
  • An ability to apply current techniques, skills, Specialist tools and techniques used to design, analyze, implement and verify AI systems.
  • An ability to apply design and development principles in the construction of software systems of varying complexity.
  • An ability to use knowledge in various domains to identify real world problems and hence to provide solution to new ideas and innovations.
  • Use different machine learning techniques to design AI machine and enveloping applications for real world problems.

Program Outcomes

  • To Understand the meaning, purpose, scope, stages, applications, and effects of AI. 
  • To analyze and understand machine learning concepts and range of problems that can be handled by machine learning.
  • To develop various real time applications using latest technologies and programming languages.
  • To understand concept of knowledge representation and predicate logic and transform the real-life information in different representation.
  • To implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction which will empower you to understand data like never before