Lab Facilities

P.C Hardware Lab

This Lab is well equipped with latest computer systems of different configuration. The students to give the training / knowledge regarding the different hardware components use it. The lab is equipped with more than 12 new branded and 10 old computers. Computers are based on Intel and AMD processors like 8086, 80386, 80486, PIII, Celeron and Duron. Motherboards of different types for testing purpose and advanced peripherals like different types of Printers, Scanners, Modems, CDD etc are also available in the Hardware laboratory.

Multimedia Lab

This Lab is well equipped with 35 branded computer systems of different configuration . This lab is well equipped for the study of various multimedia software. This lab is intended for Information technology and Computer Science students in order to expose them to Multimedia Projects like Animation,3D Objects creation etc.

Basic Computational Lab

BCL is established for the study of low-level programming, which includes assembly level programming and machine level programming. This lab is equipped with more than 35 Computer System. This lab is intended for Information Technology and Computer Science Students.

Image Processing Lab

Objective of this lab is to improve the knowledge in the field of Advanced Networking technologies and .This Lab is well equipped for the study of various communication protocols like TCP/IPand the familiarization of Unix system calls like stat, fork and creation of semaphores etc.

Project Lab

Students can do any online project by using advanced software.This may be web based or stand alone software.This Lab will be help them for handful training in fields of project development cycles

Research Lab

This lab is intended for M.Tech students. It is used for Implementation of multi domain research projects. This lab will helps students to better understand published works, learn to balance collaborative and individual work, determine an area of interest, and jump start their careers as researchers.

Cloud Computing Lab

It is used for getting efficiency in Cloud Computing, MATLAB and to Conduct Seminars and Short Term training programs. MATLAB softwrae is installed. This lab will help students to learn Cloud Computing and Virtualization technologies. This lab intended for both M.Tech and B.Tech Students.

Department of Computer Science and Engineering

The Department was established in 2000, and now has become a full-fledged department with advanced laboratory facilities to train the students to meet the current needs of the fast changing industrial scenario.

Head of the Department: Prof. Ojus Thomas Lee

Accreditation Status:Applied Accreditation in Process.SAR Filed

Vision

To become a center of excellence in Computer Science and Engineering imparting quality professional education to develop competent professionals with social values who are capable of life long learning.

Mission

To impart quality technical education to students at undergraduate level through constant knowledge upgradation by maintaining pace with the latest sophisticated innovations , research & development and industry interaction in the field of Computer Science and Engineering with focus on lifelong learning for the well-being of the society.

Program Educational Objectives

Graduates of Computer Science and Engineering at College of Engineering Kidangoor are expected to:

  1. Have sound knowledge and technical skills required to remain productive in the field of Computer Science and Engineering.
  2. Pursue lifelong learning and professional development through higher education.
  3. Be efficient team leaders, effective communicators and successful entrepreneurs.
  4. Resolve technical problems with a positive outlook towards well-being of the society.
  5. Function in diverse environments with the ability and competence to solve challenging problems.

Program Outcomes

Upon graduating from the B. Tech. program of Civil Engineering Department of College of Engineering Kidangoor, students should possess:

  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 analyse 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.

Program Specific Outcome

The students graduating from the program should possess

  1. Ability to appreciate, learn and develop applications using modern programming languages, and databases.
  2. Ability to understand and analyze computer networks, distributed systems and computer system architectures for the designing of new systems.
  3. Ability to apply knowledge of domains like machine learning, cloud computing , image processing, data mining and software engineering to tackle innovative problems.