UG Programme

BE Computer Science and Engineering

UG Programme

BE Computer Science and Engineering

UG Programme

BE Computer Science and Engineering

Established in the year 1986, the CSE Department offers a 4-Year BE (CSE) Degree with an annual intake of 120. The computer center has 11 laboratories catering to the needs of the BE (CSE). The computer centre infrastructure consists of 11 servers (Compaq, IBM and Wipro), 275 desktop computer systems complemented by some of the latest software like Microsoft Products under Campus and School Agreement (CASA), Rational Enterprise Suite (RES), Rational Software Architect (RSA), Macro Media Studio, Linux, COGNOS Data Mining Tool, WEKA Data Mining Tool, KEIL Embedded System Software, QUALNET Network Simulator, MATLAB, C/C++/Java IDE, etc.

The Department has established “Centre for Innovative Computing” Lab in October 2015 with 60- seater capacity. This lab has All-in-One computer systems with latest configuration and internet connection to cater to the needs of students. This lab is used for conducting training programs for the students and faculty viz. Microsoft Technology associate (MTA) Certification under Microsoft IT Academy (MSITA), IIT-Bombay Workshops, etc just to name a few.

The department has established “ Centre for Smart Learning” Lab with a 30 seater capacity. 30 Latest All in One Computer Systems and a 72 inch Smart TV is provided in the lab. This lab is used by students to attend online courses provided under SWAYAM, NPTEL, MOOC, DELNET etc.

Internet access is provided through a 500 Mbps leased line from Pioneer powers.

The Computer Science and Engineering Department has 21 well experienced and qualified faculty members. Among them there are 5 Doctorates and 13 are pursuing their Doctorate degrees.

Vision

To contribute competent computer science professionals to the global talent pool to meet the constantly evolving societal needs.

Mission

Mentoring students towards a successful professional career in a global environment through quality education and soft skills in order to meet the evolving societal needs.

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Program Education Objectives (PEO's)

  • Graduates will demonstrate technical skills and leadership in their chosen fields of employment by solving real time problems using current techniques & tools.
  • Graduates will communicate effectively as individuals or team members and be successful in the local and global cross cultural working environment.
  • Graduates will demonstrate lifelong learning through continuing education and professional development.
  • Graduates will be successful in providing viable and sustainable solutions within societal, professional, environmental and ethical contexts.

Program Outcomes (PO's)

Graduates will be able to:

  • PO1: ENGINEERING KNOWLEDGE
    Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  • PO2: 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.
  • PO3: 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.
  • PO4: CONDUCT INVESTIGATION 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.
  • PO5: 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.
  • PO6: 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.
  • PO7: 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.
  • PO8: ETHICS
    Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: INDIVIDUAL AND TEAM WORK
    Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: 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.
  • PO11: 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.
  • PO12: LIFE-LONG LEARNING
    Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broader context of technological change

Program Specifice Outcomes (PSO's)

  • PSO 1:
    Demonstrate understanding of the principles and working of the hardware and software aspects of computer systems.
  • PSO 2:
    Use professional engineering practices, strategies and tactics for the development, operation and maintenance of software.
  • PSO 3:
    Provide effective and efficient real time solutions using acquired knowledge in various domains.

The laboratories in the department

  • Programming for Problem Solving Lab
  • Data Structures and Algorithms Lab
  • Python Programming Lab
  • Database Management Systems Lab
  • Machine Learning Lab
  • Design and Analysis of Algorithms Lab
  • OOPS Using JAVA Lab
  • Computer Organization & Microprocessor Lab
  • Computer Networks & Operating Systems Lab
  • Data Science Lab