THE DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING IS RELEVANT IN THE FOLLOWING FIELDS: •PROGRAMMING, • INFORMATION MANAGEMENT, • DATA STORAGE, • SOFTWARE, •TELECOM, • EMBEDDED APPLICATIONS.

Institute Vision

To become an institute of academic excellence with international standards.

Institute Mission

  1. Impart quality education along with industry exposure.
  2. Provide world class facilities to undertake research activities relevant to industrial and professional needs.
  3. Promote entrepreneurship and value added education that is socially relevant with economic benefits

Department Vision

To be recognized as a department of repute in Information Science and Engineering by adopting quality teaching learning process and impart knowledge to make students equipped with capabilities required for professional, industrial and research areas to serve society.

Department Mission

  • Innovation and technically competent: To impart quality education in Information Science and Engineering by adopting modern teaching learning processes using innovation techniques that enable them to become technically competent.
  • Competitive Software Professionals: Providing training Programs that bridges gap between industry and academia, to produce competitive software professionals.
  • Personal and Professional growth: To provide scholarly environment that enables value addition to staff and students to achieve personal and profession growth.

Program Outcomes (PO)

  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, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. 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. 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.
  10. 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.
  11. 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.

IS THIS COURSE RIGHT FOR YOU?

  • If you are passionate about data and Information Technology
  • If you have a keen interest to build solutions to complex problems, by leveraging the latest tools and technologies
  • If you wish to develop your capability to anticipate and address technological changes in the computing domain
  • If your goal is to be the best in the chosen field
  • If you are looking for experienced and dedicated faculty to handhold you through the entire period of study
Then, you have come to the right place!

PROMINENT FEATURES OF THE DEPARTMENT

Through its strong industry links, ties to professional bodies, and state-of the-art laboratory facilities, the Department of Information Science and Technology truly stands tall. Some of the Department’s offerings include:
  • Associations with professional bodies such as IEEE, CSI, and ISTE, with active student chapters of these and other such organisations.
  • A strong culture of software application development and listings on Microsoft’s app store.
  • Selection of our students to prestigious positions, such as Google’s Campus Ambassador
  • High-quality Software Testing Labs, live projects in the 6th semester of the course, and a research project in the final semester.
To know more about what MVJCE offers to its students please click here. PDF

ACCREDITATION, APPROVALS, AND RECOGNITION

  • Accredited by NBA
  • Approved by the AICTE
  • Affiliated to VTU

OPPORTUNITIES

ISE graduates are in great demand among Bangalore’s many multinational and national corporations. Some of these where our students have got placed: •Cisco, •HCL,•IBM, •Infosys, •Intel, •Kasura Technologies, •Magna Infotech, •Sap Labs, •Syntel, •Tata Elxsi, •Microsoft, •TCS, •Yahoo.

Program Educational Objectives (PEOs)

  • IT Proficiency: Graduates will excel as IT Experts with extensive knowledge to analyze and design solutions to Information Engineering problems.
  • Social &moral principles: Graduates will work in a team, showcase professionalism; ethical values expose themselves to current trends and become responsible Engineers.
  • Higher education: Graduates will pursue higher studies with the sound knowledge of fundamental concepts and skills in basic sciences and IT disciplines.

Program Specific Outcomes (PSO)

  1. PSO1. Software professional expertise: An ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, DBMS, and networking for efficient design of computer-based systems of varying complexity.
  2. PSO2. Core competence: An ability to compete practically to provide solutions for real world problems with a broad range of programming language and open source platforms in various computing domains

WHO HEADS THIS DEPARTMENT?

Ms. Sanchari Saha
Ms. Sanchari Saha holds a Master’s degree in Computer Science & Engineering from CMRIT (VTU), Bangalore, and a Bachelor of Engineering degree in Computer Science & Engineering from NIT, Agartala. She was awarded a gold medal from VTU for securing the 1st rank during her Master’s degree. Currently, she is an Assistant Professor in MVJCE, Bangalore, while concurrently pursuing research towards her PhD degree from VTU. She has more than 9 years of experience in teaching. She received the best teacher award in 2013. She has published a book titled “Object Oriented Modeling & Design Pattern” and several papers in reputed national and international journals and conferences. Her areas of interest includes Cryptography, Wireless Body Area Networks, etc. She is a member of the Indian Society for Technical Education.

Faculty List

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Events

Report on Google Applied CS with Android First Workshop.
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Top Up Guest Lecture on “CLOUD COMPUTING PLATFORMS” Click herePDF
Two day workshop on ”Big Data Analytics-Platforms & Tools” Click herePDF
Industrial Visit to CSIR center for Matematical modelling and computer simulation (CMMAC-4 th CSIR pardigm institute) Click herePDF
MS-OFFICE Training Report Click herePDF
Industrial Visit to KSRSAC Click herePDF
ISE - The Data Complete - Vertechx 8 Click herePDF
Eikon Club Coordinator Click herePDF
Guest Lectures on Computational Modeling Click herePDF

ACHIEVEMENTS

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CENTRE OF EXCELLENCE


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Placement Details

Placement Details 2014 - 2015 PDF
Placement Details 2015 - 2016 PDF
Placement Details 2016 - 2017 PDF
Placement Details 2017 - 2018 PDF

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    Labs

    This lab is helpful to learn about different data structures which are used in memory management. All programs are implemented in C language. It mainly focuses on
    1. Implementing Stacks, Queues and Linked Lists
    2. Use of trees which are non linear data structures.
    3. Use of Dynamic memory allocation
    This lab enables the design and analysis of various electronics circuits. Students analyze all basic circuits (Clipper, clamper, amplifiers etc) with full designing facility and simulation. Students also learn VHDL (VHSIC hardware description language), which is a hardware description language used in electronic design automation to describe digital and mixed-signal systems such as field-programmable gate arrays and integrated circuits. Students work on Xilinx-software to simulate and run the circuits.
    Design and Analysis of Algorithms lab helps the students to get knowledge on how to solve various problems by algorithmic methods of problem solving. Using various algorithmic techniques, we need to find different solutions to the same problem and identify which solution has good time and space efficiencies. In this lab, students understand various sorting and searching algorithms and find which sorting or searching algorithm is efficient. Students implement various algorithmic techniques such as divide and conquer method, decrease and conquer method, greedy method and dynamic programming method etc.
    This lab is helpful to learn about Intel 8086 microprocessor architecture. Students do both Software as well as Hardware implementation of experiments. All experiments are conducted in Assembly language programming. This lab helps in basic concepts of
    System software lab helps the students to know the practical knowledge of lex and yacc compilers used in compiler design. It will be useful for learning all the commands in UNIX operating system and how to write shell programs in UNIX..
    This lab is helpful for the students to learn about database by creating and maintaining real time applications. The front-end used is Visual Basic 6.0 and the back-end is Oracle 10g. This lab focuses on the following
    1. Creating and maintaining database applications using Oracle 10g
    2. Query processing using DDL, DML, DCL.
    3. Connecting Visual Basic to Oracle 10g
    4. Creating forms and generating reports using back end and front ends
    This lab is helpful to students to write the test cases based on all scenarios for software testing which follows the implementation of the software. The boundary testing, black box testing, white box testing is all used to derive the test cases and the actual and expected result for each test case is made.
    This lab is very helpful to the students as it gives the basic concepts about files structure associated with fields and records and about file maintenance and the indexing on files. C++ language is used in this lab. This lab mainly focuses on the following concepts:
    1. Creating files with variable and fixed length records
    2. Creating simple index on the files for variable and fixed length records
    3. Creating merging of files using consequential processing
    4. Creating higher level indexes such as B-tree and B+ tree
    This lab is helpful to students to create the web pages using different technologies. They will understand about how to use HTML, DHTML, XML to design the web pages. They also use cascading style sheets to design the web pages. PhP and Java scripts are also taught for them and students are supposed to validate the pages too.
    This lab helps students to learn the basics of networks and its implementation. This lab has two parts viz., simulation and programs. The experiments include
    1. Simulating TCD/UDP, TELNET, FTP, Ethernet LAN, ESS.
    2. Finding out the bandwidth, error rate, input and output throughput of sender and receiver.
    3. Determining collision across networks, performance w.r.t. transmission.
    4. Error Detection using CRC, error correction using Hamming code.
    5. Implementing FIFO , Sorting Frames,
    6. Distance Vector, leaky bucket and RSA Algorithm