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Engineering College in Bangalore

Information Science and Engineering

Overview

    Information Science and Engineering is an interdisciplinary field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. The Department of Information Science and Engineering was initiated in the year 2000 with an intake capacity of 60 and current intake is 120 students for BE programme, affiliated to Visvesvaraya Technological University, Belagavi. The zealous department also offers two PG programmes, M.Tech in Computer Network Engineering & M.Tech in Cyber Forensics and Information Security and has R&D center recognized by Visvesvaraya Technological University, Belagavi. The department consists of a highly motivated, competent and distinguished faculty committed to the cause of quality education. Research is an integral part of departmental activities where all the faculty members are enthusiastically involved.

Best nformation Science and Engineering in Bangalore

     The department has well-focused research area and excellent research facilities, which cater to the needs of the research community providing ample opportunity for the students to implement and test their skills. Workshops, seminars and invited talks from experts frequently with the help of professional bodies like Computer Society of India (CSI), Indian Society for Technical Education (ISTE) and technical student forum “STEIGEN” are systematically organized. The Computer Society of India student branch has been honoured with the “Best Computer Society of India Student Branch Award” at the Computer Society Of India National Convention 2012. The department has collaborated with several top IT giants. The list includes Apple - iOS University Development Programme, IBM -Centre of Excellence, Microsoft-IT Academy, Infosys - Campus Connect Program, EMC2 - Academic alliance partner, Wipro Mision10X, to name a few. Employment through campus placements in premier IT organizations is assured for a majority of the students.

    The department has achieved academic milestones by achieving University Ranks. So far several ranks have been credited to the department. Big data community is a unique practice at department of Information Science and Engineering, focused on enriching the competency of our faculty members, students and our research scholars through workshops, FDPs, online courses and National/International Conferences. Through Big data community, multi node cluster set up in the lab it helps the students to execute projects. Another remarkable aspect of the department of Information Science and Engineering is the Inhouse internship program extended to our students to gain expertise by learning and adopting the software engineering practices and developed live projects which are vital for our academic activities.

     To this date, the effectiveness of the program has proved to be advantageous to our students to be placed in good organizations during placements. By virtue of our R&D cell, faculty members in collaboration with students have published nearly 80+ scopus index journal papers. To sum it up, Information Science and Engineering is one of the most promising and rewarding field.

Best information Science and Engineering in Bangalore

Programs

Under Graduate

B.E. in Information Science & Engineering

Duration  : 4 Years
Eligibility : Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Biotechnology, Computer Science, Electronics, Information Science. AIT admits students as per prevailing rules and regulations of VTU.

Program Educational Objectives (PEOs)

The educational objectives of a programme are the statements that describe the expected achievements of graduates within first few years of their graduation from the programme. The programme educational objectives of Bachelor of Engineering in Information Science and Engineering at Acharya Institute of Technology can be broadly defined on four counts:

1. Sound knowledge in engineering discipline
2. Are competent, creative, and highly valued ethical professionals in industry, academia, government or entrepreneur
3. Engage in life-long learning and professional development
4. Become effective global collaborators, leading or participating to address technical, business, environmental and societal challenges

Program Outcomes (POs)

Programme outcomes are narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the skills, knowledge and behavior.
Graduates of Bachelor of Engineering in Information Science & Engineering programme at Acharya Institute of Technology will attain the following programme outcomes.

a. An ability to apply knowledge of mathematics, science, and engineering

b. An ability to identify, formulate, and solve engineering problems

c. An ability to design and conduct experiments, as well as to analyze and interpret data

d. An ability to design and build a component, system, or process to meet desired needs

e. An ability to function on multidisciplinary teams

f. An understanding of professional and ethical responsibility

g. An ability to communicate effectively

h. An ability to use the techniques, skills, and engineering tools

i. The broad education necessary to understand the impact of engineering solutions in global, economic, environmental, and societal context

j. A recognition of the need for, and an ability to engage in life-long learning

k. A knowledge of contemporary issues

l. A knowledge of project management and its financing

Post Graduate

M.Tech in Computer Network Engineering

Career Scope

This M.Tech programme is intended for students who wish to pursue careers in research, development, operations, and services in the networking and IT industry. It is designed to address specialised needs in networking industry including areas of digital communication, information security, wireless and mobile networking, optical networks, multiplexing in telecommunication, etc., which are imminent areas in the industry.

 

Duration : 2 Years
Eligibility : BE / Equivalent Degree


M.Tech in Cyber Forensics & Information Security

Career Scope

This course is aimed at producing the much needed highly competent manpower in the area of Cyber forensics and Information Security. This course will provide students to maintain an appropriate level of awareness, knowledge and skill to allow them to minimize the occurrence and severity of information security incidents. To provide suitable coverage of the international standards of cyber security and cyber laws. The rapid development of IT industry has made conventional methods of investigation of cyber crimes futile. This course is designed to extend employment, education and entrepreneurial opportunities to the students.

 

Duration : 2 Years
Eligibility : BE / Equivalent Degree

Vision

“Acharya Institutes, committed to the cause of value-based education in all disciplines, envisions itself as fountainhead of innovative human enterprise, with inspiration initiatives for academic excellence.”


Mission

“The Mission of Information Science and Engineering program is to equip students with the fundamental concepts, practical knowledge and professional ethics through innovative practices leading to proficiency in the field of Information Technology and employability in various Scientific, Engineering and Technological Streams”


Advisory Board

Chief Advisor

Dr. Sharanabasava C Pilli
Principal,
Acharya Institute of Technology.

 

Chairman

Prof. C K Marigowda
Associate Professor & Head,
Department of Information Science & Engineering.

 

Member Secretary

Prof. Mahesh G
Associate Professor,
Department of Information Science & Engineering.

 

Members

Dr. Rajan M A
Research Scientist,
Innovation Labs,Tata Consultancy Services.

Mr. Pratap Kodancha
Associate Manager,
SAP Labs India Pvt. Ltd, Bangalore.

Dr. GowriShankar
Professor & Head,
Department of Computer Science & Engineering,
BMS College of Engineering, Bangalore.

Dr. SatishBabu B
Professor,
Department of Computer Science & Engineering,
Siddaganga Institute of Technology, Tumkur.

Dr. P Suresh
Principal Researcher , Education & Research,
Infosys Ltd., Mysore.

Dr. D Manjunath
Professor,
Department of Computer Science & Engineering,
Indian Institute of Technology ,Bombay( IITB), Mumbai, India.

Our Professors

Acharya institute of technology is known for global leadership in technical education, and the Acharya faculty is a combination of young and experienced, passionate and curious individuals. They are the most distinguished scholars, who constantly do research in their respective fields.

Our Technical Staff

Acharya Institute of Technology has got a highly potential and dedicated technical staff with required educational qualification and experience. The technical staff, being a backbone of Acharya Institute of Technology, have been rendering their services to the institution with a commitment and responsibility. As Acharya Institute of Technology believes, prosperity is only possible when multiple hands are put together for the same purpose. Our technical staff members have been upgrading their knowledge which is relevant and essential in the modern era.


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Mrs. Savitha KInstructor

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Mr. Prasad H Rudrappa Asst Manager IT


    Wireless Sensor Networks

    A wireless sensor network (WSN) of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. Today WSN are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. Currently 5 research scholars are working in this area.

    Big Data

    Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Analysis of data sets can find new correlations, to "spot business trends, prevent diseases, cyber crime and so on." Scientists, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. Currently 4 scholars are working in this area.

    Cloud Computing

    Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. Clouds can be classified as public, private or hybrid. Currently 2 research scholars are working in this domain.

    Information Security

    Information security is applied to technology to protect our systems from the intruders. It is worthwhile to note that a computer does not necessarily mean a home desktop. A computer is any device with a processor and some memory. Such devices can range from non-networked standalone devices as simple as calculators, to networked mobile computing devices such as smart phones and tablet computers. IT security specialists are almost always found in any major enterprise/establishment due to the nature and value of the data within larger businesses. They are responsible for keeping all of the technology within the company secure from malicious cyber attacks that often attempt to breach into critical private information or gain control of the internal systems. Currently one scholar working in this space.

    Data Mining

    Data Mining is the process of extracting huge and useful information from large databases, an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Currently 2 scholars are working in this area.

    Image Processing

    Image processing is any form of signal processing for which the input is an image, such as a photograph or video frame, the output of image processing may be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. Currently one scholar working in this space.

    Human Computer Interaction

    HCI (human-computer interaction) is the study of how people interact with computers and to what extent computers are or are not developed for successful interaction with human beings. As its name implies, HCI consists of three parts: the user, the computer itself, and the ways they work together. Users can be an individual user, a group of users working together. Different users form different conceptions or mental models about the interactions and have different ways of learning. Computers are technologies ranging from desktop computers, to large scale computer systems. Through Interaction, HCI attempts to ensure that both Users and Computers interact successfully in order to achieve a usable system. Common methods of HCI include Gesture recognition, Sign language interaction, Human pose estimation and others. Currently one scholar working in this space.

    Mr. C K Marigowda
    Research Area: Wireless Sensor Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Mahesh G
    Research Area: Wireless Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Nagamahesh B S
    Research Area: Web Services.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Umapathi G R
    Research Area: Wireless Sensor Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Sudarsanan D
    Research Area: Wireless Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Prakash B Metre
    Research Area: Wireless Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Prathibhavani P M
    Research Area: Wireless Sensor Networks.
    University: Visveswaraya Technological University, Belagavi.

    Prof. Srinivas K
    Research Area: Human Computer Interaction.
    University: VIT, Chennai Campus

    Prof. Chandrakala H T
    Research Area: Digital Image Processing
    University: Visveswaraya Technological University, Belagavi.

Course Catalog

Information Science and Engineering (B.E.)

Semester 1

  • Engineering Mathematics - I.
  • Engineering Physics.
  • Elements of Civil Engineering &
         Engineering Mechanics.
  • Elements of Mechanical Engineering.
  • Basic Electrical Engineering.
  • Workshop Practice.
  • Engineering Physics Laboratory.
  • Constitution of India & Professional Ethics.

Semester 2

  • Engineering Mathematics - II.
  • Engineering Chemistry.
  • Computer Concepts & C Programming.
  • Computer Aided Engineering Drawing.
  • Basic Electronics.
  • Computer Programming Laboratory.
  • Engineering Chemistry Laboratory.
  • Environmental Studies.

Semester 3

  • Engineering Mathematics - III
  • Analog and Digital Electronics
  • Data Structures and Applications
  • Computer Organisation
  • Unix and Shell Programming
  • Discrete Mathematical Structures
  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory

Semester 4

  • Engineering Mathematics - IV
  • Software Engineering
  • Design and Analysis of Algorithms
  • Microprocessors and Microcontrollers
  • Object Oriented Concepts
  • Data Communication
  • Design and Analysis of Algorithms Laboratory
  • Microprocessors and Microcontrollers Laboratory

Semester 5

  • Management and Entrepreneurship For IT Industry
  • Computer Networks
  • Operating Systems
  • Data Management System
  • Automata Theory and Computability
  • Object Oriented Modelling and Design
  • Social Network Analysis
  • Advance Java and J2EE
  • Programming Languages
  • Computer Networks Laboratory
  • DBMS Laboratory with Mini Projects

Semester 6

  • Cryptography, Network Security and Cyber Law
  • File Structures
  • Software Testing
  • Operating Systems
  • Data Mining and Data Warehousing
  • System Software
  • Operation Research
  • Distributed Computing System
  • Software Testing Laboratory
  • File Structures Laboratory with Mini Project

Semester 7

  • Object Oriented Modeling and Design
  • Information Systems
  • Programming the Web
  • Data Warehousing and Data Mining
  • Elective II (Group-B)
  • Elective III(Group-C)
  • Networks Laboratory
  • Web Programming Laboratory

Semester 8

  • Software Architectures
  • System Modeling and Simulation
  • Elective IV(Group-D)
  • Elective V(Group-E)
  • Project Work
  • Seminar

Electives

Group A

  • Operations Research
  • Compiler Design
  • Logic Design.
  • Data Compression
  • Pattern Recognition
  • Computer Graphics and Visualization
  • Programming Languages

Group B

  • Advanced DBMS
  • Embedded Computing Systems
  • JAVA and J2EE
  • Multimedia Computing
  • Advanced Software Engineering
  • Neural Networks

Group C

  • C# Programming and .Net
  • Digital Image Processing
  • Game Theory
  • Artificial Intelligence
  • Storage Area Networks
  • Fuzzy Logic

Group D

  • Wireless Networks and Mobile Computing
  • Web 2.0 and Rich Internet Applications
  • User Interface Design
  • Network Management Systems
  • Information and Network Security
  • Microcontroller-Based Systems

Group E

  • Ad-hoc Networks
  • Information Retrieval
  • Supply Chain Management
  • Services Oriented Architecture
  • Clouds, Grids and Clusters
  • Decision Support Systems

  Download 2010 Scheme Syllabus

  Download 2015 Scheme Syllabus

Computer Network & Engineering (M.Tech)

Semester 1

  • Wireless Adhoc Networks
  • Advanced in Computer Networks
  • Information and Network Security
  • Probability Statistics and Queuing Theory
  • Internet of Things
  • Social Network Analysis
  • Multicore Architecture and Programming
  • Soft Computing
  • Computer Networks and Information Security Laboratory
  • Seminar

Semester 2

  • Multimedia Communications
  • Cloud Computing
  • Network Management
  • Managing Big Data
  • Switching & Statistical Multiplexing in Telecommunications
  • Wireless Sensor Networks
  • Optical Networks
  • Mobile Application Developement
  • Mini Project
  • Seminar
  • ul>

Semester 3

  • Seminar/Presentation on Internship
  • Report on Internship
  • Network Management
  • Evaluation and Viva-Voce

Semester 4

  • Client Server Programming
  • Service Oriented Architecture
  • Analysis of Computer Networks
  • Network Routing Algorithms
  • Web Mining

Electives

Elective-I

  • Advanced Algorithms
  • Computer Systems Performance Analysis
  • Multi Core Architecture and Programming
  • Soft Computing

Elective-II

  • Cloud Computing
  • Wireless Sensor Networks
  • Optical networks
  • Advances in VLSI Design & Algorithm

  Download 2014 Scheme Syllabus

  Download 2016 Scheme Syllabus




Cyber Forensics and Information Security (M.Tech)

Semester 1

  • Ethical Hacking
  • Pragmatics of Information Security
  • Cyber Crime And Cyber Forensics
  • Probability Statistics and Queuing Theory
  • Access Control and Identity Mangement System
  • Cloud Security
  • Advance Cryptography
  • Application and Web Security
  • Ethical Hacking Laboratory
  • Seminar

Semester 2

  • Preserving and Recovering Digital Evidence
  • Operating System Security
  • Secured Programming
  • Cyber Laws & Ethics
  • BioMetric Security
  • Trust Management in E-Commerce
  • Information Security Policies in Industry
  • Database Security
  • Mini Priject
  • Seminar

Semester 3

  • Seminar/Presentation on Internship
  • Report on Internship
  • Evaluation and Viva-Voce

Semester 4

  • File System Forensic Analysis
  • Secure Programming Laboratory
  • Security Architecture Design
  • Steganography and Digital Watermarking
  • Mobile Device Forensics

Electives

Elective-I

  • Access control and Identity Management System
  • Cloud Security
  • Advanced Cryptography
  • Application and Web Security

Elective-II

  • Biometric Security
  • Trust Management in E-Commerce
  • Information Security Policies in Industry

Elective-III

  • Security Architecture Design
  • Steganography And Digital Watermarking
  • Mobile Device Forensics
  • Security Assessment and Verification

  Download 2014 Scheme Syllabus

  Download 2016 Scheme Syllabus

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