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Computer

Computer Science & Engineering



Foundation of Babaria Institute of Technology, BITS Edu Campus was laid down in year 2004 and Department of Computer Science and Engineering is running under this institute since 2004.

At global market, India’s Software Engineers have created remarkable mark in Software industries and gained super trust and revenue for the nation. Department of Computer Science and Engineering has been most lucrative and competitive course to study from beginning because of this global demand. It is really an excellent field to have opportunities both in software companies and higher studies. As computing is extensively applied to almost every walk of life, it has created massive well paid jobs for Computer Science & Engineering students. On the same time more demand and application kept its research funding alive, many students attracted to opt for higher studies.

Department of Computer Science & Engineering comprises of centrally air-conditioned laboratories equipped with high configuration computers and servers backed by licensed software, high speed internet connectivity through fibre optics on leased line and Wi-Fi. Excellent academic record with Gold Medals and University Ranks consistently secured every year by students under the guidance of well qualified, competent and devoted faculty members. Strong collaboration with industries and MOU signed with many leading industries. Heavy emphasis is given on skill development of students and faculty members by inviting industry experts to deliver expert talks, by organizing competitions and workshops. The Department has three major walk-through: to create knowledge, to propagate knowledge and to offer service to society

Mission & Vision


Mission

  • To produce world class computer professionals and technocrats through proficient mentors and researchers to satisfy global needs.
  • To foster the state-of-art technologies and extend the platform to inculcate the diversified skills of students, faculty and staff.
  • To promote innovative teaching learning processes and disseminate research.
  • To strengthen industry partnership and promote innovation to make graduates industry ready.
Vision

To prepare skilled and competent Computer Engineers by imparting quality education and contributing to the development of society & nation at large through excellence in teaching, research and innovation.

PEO’s & PSO’s



Program Educational Objective



PEO: 1
To build a strong foundation for problem solving ability, critical thinking and mathematical principles in the domain of Science and Technology.

PEO: 2
To exhibit professional skills, leadership qualities and ethical values for the enrichment of society and country.

PEO: 3
To adapt advancements in computing tools and technologies and provide sustainable solutions to the social, economical and industrial problems.

PEO: 4
To produce competent computer professionals with various skills to formulate, analyze and design diverse problems and address challenges by developing software solutions.

PEO: 5
To adapt innovative teaching methodology to elevate research and technical skills.

Program Specific Outcome



PSO:1
Correlation of complex problems to mathematical fundamental concepts Top-Bottom approach to solve complex problems by dividing it into small problems and applying core mathematical concepts of data structure and suitable algorithms.

PSO:2
State-of-art technologies to design the solutions To develop the skill and ability to analyze the feasible solution in context with software development by using modern tools and technologies.

PSO:3
Software development To design and develop the software in a team using the latest programming languages with a view of program efficiency and project management fundamental rules.

PSO:4
Computing and research ability To explore possibilities of applying core knowledge in the latest computing and research trends in the computer field.

BIT AI Club



BLOGS


  1. Introduction to Machine learning and Deep learning
  2. Introduction to Deep Learning
  3. TOOLS TO GET STARTED WITH DEEP LEARNING

ARTICLES


  1. Fundamentals of Deep Learning
  2. END TO END DEEP LEARNING
  3. Introduction to Machine Learning Tools
  4. Regression in AI

Faculty Profile


Laboratories

  1. 16 Computer Labs with more than 300 computers with latest configurations like Intel Core i3 and Core i5, Core i7
  2. 1 High-Tech Internet Lab with multimedia facilities
  3. High speed internet connection with 62 Mbps Line
  4. Fully Wi-Fi enabled campus and Hostels
  5. ICT enabled Smart classrooms.
  1. Operating System Lab & DBMS Lab
  2. System Programming – 1 & 2 Lab
  3. Networking & Hardware Lab
  4. Software Design & Computer Graphics Lab
  5. Web Development & Language Lab
  6. Distributed Computing & Soft Computing Lab
  1. Models of ledged and braced doors, half paneled and half glazed doors, flush door
  2. Models of different types of roofs,
  3. Models of different type of floorings,
  4. Models of different types of scaffolding
  5. Models of different types of staircases
  6. Models of road culvert with single arch and box types, railway culvert, clover leaf junction, cross section of national highway, subsurface drainage, foundation, pneumatic caisson etc.

Industrial Visit Gallery



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