Data Science

Vision

Achieve academic excellence and prepare the next generation of engineers and researchers for a data-centric world in the field of data science at the national and global levels.

Mission

Focusing on holistic data science research and education addressing the challenges of large data sets, high ingestion rates, short analysis time windows, different content, media types, contradicting, incorrect, and missing information.

Data Science (DS) – B. Tech in Data Science is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The curriculum involves a blend of data inference, algorithm development, and technology to solve analytically complex problems. There is an increasing demand of capturing, analyzing, and synthesizing large amount of data sets in a number of application domains to better understand various phenomena and to convert the information available in the data into actionable strategies. The program focuses on the essentials of applied statistics, applied mathematics, artificial intelligence, machine learning and computer science required in the context of data science and its applications.

PEOs

PEO1 Graduates will have concrete knowledge in Mathematics, Programming, Artificial Intelligence, Machine Learning, and Data Science fundamentals to analyze, solve and design technical problems.

PEO2 Graduates will have a professional attitude, interpersonal and entrepreneurial skills to work effectively within a team and have the potential to participate in life-long learning through various professional development programs.

PEO3 Graduates will excel as socially devoted engineers with high ethical values, leadership qualities, and empathy for societal needs, and have a successful career in industry, research and higher Studies.

Artificial Intelligence Engineering

Vision

Providing knowledge with the latest technological advancements in the field of Artificial Intelligence and turning learners into global contributors as innovators, entrepreneurs, and researchers.

Mission

• To realize the vision, the Department of Artificial Intelligence will do the following:

• Higher-order thinking: To provide strong fundamental concepts, analytical, and problem-solving ability to improve professional skills.
• Continuous learning: Creating an excellent enabling environment for students to continuously update their knowledge of technology.
• Entrepreneurship: Master the spirit of leadership skills to be an active entrepreneur in a society with ethical values.
• Qualification: Enhance creativity in research and develop students’ abilities in the technical field.

Artificial Intelligence (AI) – This branch of computer science aims solely at creating intelligent machines. Artificial Intelligence has become a highly important part of the technology industry. The growing demand for AI course has significantly increased in the past few years. Students pursue the courses to learn about the core problems of AI which include the programming of computer systems for traits like reasoning, knowledge, perception, problem-solving, planning, learning, ability to move and manipulate objects, etc.
Key areas of AI are Machine Learning, Neural Networks, Evolutionary Computation, Vision, Robotics, Expert Systems, Speech Processing, Natural Language Processing, Gaming, and Planning.

Computer Science Engineering

Vision

To produce excellent, innovative, self-motivated engineers and entrepreneurs who can sustain in rapidly changing field of applied computational technology in industries and be among the most highly reputed technology-focused learning institutions in the world.

Mission

In order to realize the vision, Department of Computer Science and Engineering will undertake the following:

• Create conducive environment for learning and research
• Establish industry and academia collaborations
• Ensure professional and ethical values in all institutional endeavors

Budget Details

More Details

Computer Science Engineering (CSE) – This course has its core in bringing in more innovations into technology while also going beyond the fundamentals. This allows the students to build up their interest in the specialized research, their growing ability for better hardware production, growing skills to invent new operating systems. This builds their overall understanding of hands-on technology.
Computer Science and engineering focuses on theory, algorithms programming languages, Virtualization, visualization, networking, databases, software engineering and quality, design of system and application software, cryptography and architectures. It involves various technology trends which are Artificial intelligence, Machine Learning, Cloud computing, Block chain, Cyber Security, big data, Internet of things, augmented and virtual reality, Robotic process automation and edge computing.

Electronics & Communication Engineering

Vision

To attain academic excellence in teaching & research by imparting knowledge required to the students for recent and advance engineering & technology.

Mission

• To provide a unique learning environment through structured teaching-learning process to enable the students to face the challenges in electronics field.
• To produce engineering professionals having utmost ethical values and sense of responsible citizenship.
• To educate the students through constant interaction with research organization and industry.

Electronics and Communication Engineering – deals with the broader aspects of engineering such as- digital and analog design, VLSI, Industrial Electronics, Control System, FPGA, IoT, Embedded System design, Machine Learning, Artificial Intelligence, Wireless Communication, Microwave devices, Plasma Technology, Simulation tools like- Cadence, GHDL, Icarus Verilog, Arduino IDE, Scilab, Xilinx ISE, Quartus, LTspice etc.

Electrical Engineering

Vision

To emerge as a front-runner for catering latest needs of power sector, electrical industries, public service and to improve the quality of lifewith high human values

Mission

Imparting quality education and skills by establishing the state of the art research facilities to students that further contributes to the socio – economic growth and eventually contributing to sustainable development of the society

Electrical Engineering – This course provides students with an understanding in the area of Electrical Power Generation, Transmission and Distribution, Power System Analysis, Machine Design, Power Electronics, Control System, Renewable Energy Technologies (Focus on Islanded/Grid connected Solar PV System and Wind Power Generation), Smart Grid, Microgrid, Energy Storage, Fuzzy Logic, Neural Network, Artificial Intelligence and various simulation tools.
Professional Training and Research Center of the Institute has advanced Control Panels, Machine Control, Bearing Technologies, Machine design and latest PLC-SCADA Lab.

Information Technology

Vision

Empowering learners to stimulate and exchange the creation of information knowledge base in an integrated environment.

Mission

In order to realize the vision, the Department of Information Technology will undertake the following:

• M1: Enhance the technical skills to equip the students to cater the industrial demands in the field of Information Technology.
• M2: Inculcate innovative research capabilities, leadership capabilities, higher education & entrepreneurship.
• M3: Ensure ethical values and professional attitude among students to contribute towards the growth of the society.

Mechanical Engineering

Vision

To be recognized as a leader of its discipline in a manner that exemplifies the ways of learning, discovering, and engaging to provide quality education leading to qualified and innovative engineers for catering industry and social needs.

Mission

• To help imbibe knowledge through research in the field of Mechanical Engineering.
• To share knowledge through educational programs and provide the facilities for research in the field.
• To develop the professional potential of faculty and students by engaging them in academic as well as scholarly activities.

Mechanical Engineering – helps students become familiar with the application of techniques of engineering into design, manufacturing and maintenance while also understanding some core concepts such as -Thermodynamics, Mechanics, Mechatronics, IIoT (Industrial Internet of Things), 3D/4D/5D Printing Technology, Robotics, Simulation tools like- 3D CAD, Solid Works, ANSYS, CATIA etc.