Computer Science & Engineering

A Computer Science and Engineering (CSE) department integrated with Internet of Things (IoT), Data Science (DS), Artificial Intelligence (AI), and Machine Learning (ML) focuses on preparing students for the evolving technological landscape. This integrated approach equips students with skills in core computer science principles, along with specialized knowledge in AI, ML, IoT, and data analysis, preparing them for a wide range of industry opportunities.

Key Aspects of an Integrated CSE Department:

• Core CSE Foundation:

  Students receive a strong foundation in computer science fundamentals, including programming, data structures, algorithms, and software engineering, which are essential for any CSE-related field.

• Specialized Focus:

  The curriculum integrates specialized areas like AI, ML, IoT, and data science, allowing students to develop in-depth knowledge and skills in these domains.

Vision

• To be a leading department in CSE, recognized for its excellence in IoT, Data Science, AI, and ML, and its contributions to technological advancements and societal well-being.
• To foster innovation and creativity in these fields, producing graduates who can drive technological progress and address global challenges.

Mission

• To provide a high-quality education that integrates core CS principles with specialized knowledge in IoT, Data Science, AI, and ML.
• To cultivate students' critical thinking, problem-solving, and research skills through innovative teaching methodologies and hands-on experiences.
• To instill ethical and social responsibility in the development and deployment of these technologies.
• To establish strong industry partnerships to provide students with practical experience and exposure to real-world applications.

Program Educational Objectives (PEOs)

• PEO1

  Graduates will be able to apply their knowledge of mathematics, science, engineering, and computing to solve complex problems in IoT, Data Science, AI, and ML.

• PEO2

  Graduates will be able to analyze requirements, design and develop solutions using AI and ML principles, and evaluate their effectiveness.

• PEO3

  Graduates will be able to collaborate effectively in multidisciplinary teams, communicate their ideas clearly, and demonstrate leadership qualities.

• PEO4

  Graduates will be able to pursue lifelong learning, stay abreast of technological advancements, and contribute to the development of sustainable solutions.

• PEO5

  Graduates will be able to engage in research and development activities, contributing to the advancement of knowledge in these fields.