• www.ewit.edu.in
  • Toll Free No. 1800 123 8343
  • principal@ewit.edu.in
  • 080 23286732 / 8242 / 8899
  • +91 9448224779
  • +91 9482514447
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Department of CSE is visualized to have a forefront in imparting quality education to every student. The success of the department is amply reflected in the outstanding achievements of the students employed both abroad and within the country. Every success is due to the involvement of a well qualified and dedicated faculty member, motivating the efforts of the students to reach the goal with enthusiasm and good ethical values.

The students are encouraged to participate in various seminars, workshops & co curricular activities, which are organized by “CENSA” .There is a continuous internal evaluation of students through unit tests, internal assessments and quiz programs. The problems of students are solved to the extent possible as and when they arise. The attendance and progress reports are sent to the parents after every internal assessment tests. Special care is taken for the students whose performance is poor through counseling and extra classes.Every effort is made constantly to progress the results of students.

We hope that we will continue to deliver our best to serve the society and expect our students to pass on the skills that they have developed during their interaction with our department.

Education Par Excellence

Vision

To be a Department of Excellence in Technical Education through Innovative Learning Approach with Social Commitment in the field of Computer Science & Engineering.

Mission

M1: To provide a conducive learning ambience to enhance problem solving skills, leadership qualities and team spirit.
M2: To impart advanced technical knowledge through training programs for the holistic development of students.
M3: To promote research, innovation and entrepreneur skills in the field of Computer Science and Engineering.
M4: To inspire the students to become socially responsible technocrats.
Courses & Intake
B.E in Computer Science & Engineering = 180
M.Tech in Computer Science & Engineering = 24

Results
Academic excellence is the demonstrated ability to perform, achieve, and/or excel in scholastic activities. Academic excellence has been identified with achieving high grades and superior performance. Academic Excellence It is the maximum development of your intellectual capacities and skills in service to humanity. The department achieves more than 90% in its examination results.

Placement
The Department prides itself as a destination of choice for students aspiring to be efficient engineers and entrepreneurs. The Department has a heritage of providing educational excellence from the time of its inception. The department has a consistent track record of placed students with more than 90% getting placed among the eligible candidates.

PEO1: To achieve sustainable growth as Computer Science Engineers in reputed organizations.

PEO2: To accomplish higher education and research with highest degree of professionalism and integrity.

PEO3: To extend the services to mankind by exhibiting leadership qualities and ethical values.

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

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

3.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 the public health and safety, and the cultural, societal, and environmental considerations.

4.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.

5.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.

6.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.

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

8.Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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

10.Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11.Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12.Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO-1 Apply the strong knowledge and principles of computer science & engineering to model and design various computing systems.

PSO-2 Develop diverse applications in well promised domains by adopting the practices of Computer Science and Engineering.

  • Semester 3
    1. Data Structures & its Applications
    2. Analog & Digital Electronics Lab
  • Semester 4
    1. Microprocessor & Microcontroller
    2. Design & Analysis of Algorithm
  • Semester 5
    1. DBMS with Mini Project
    2. Computer Networks
  • Semester 6
    1. System Software & Compiler Design
    2. Computer Graphics Lab with Mini Project
  • Semester 7
    1. Web Technology with Mini Project
    2. Machine Learning
  • Semester 8
    1. Internship / Professional Practice
    2. Project Work Phase
    3. Seminar
  • No. of Volumes : 970
  • No. of Titles : 220
  • No. of Journals : 50
  • No. of UG Projects : 227
  • No. of PG Projects : 20
  • Technical Seminar : Number
  • Library software : Libsoft