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Engineering College in Bangalore

Computer Science and Engineering

Overview

    Computer Science and Engineering (CSE) is a relatively new discipline that deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design (computational engineering) as well as natural phenomena (computational science). CSE has been described as the "third mode of discovery" (next to theory and experimentation). In many fields, computer simulation is integral and therefore essential to business and research. Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries are prohibitively expensive. The department was established in the year 1996 under Bangalore University. In these 15 years of academic services, the department has shown phenomenal growth, and at present the department hosts undergraduate and post graduate programmes, under the affiliation of Visvesvaraya Technological University, Belgaum.

Best Computer Science College Bangalore

    The computing facility of the Department consists of a state-of-the-art network of computers with 5 separate labs running with Linux Server & Windows servers. The various labs are Project Lab, Graphics Lab, Hardware Lab, Programming Lab, and the System Software Lab. The Computer Maintenance Cell (CMC) which is the part of the department has responsibilities of managing Campus-Wide IT infrastructure, including Computers, Networking (Wired / Wireless), and Internet facilities, Mail, Web and Application Servers and so on. CSE consists of a team of highly motivated and experienced faculties who have a proven track record in the IT industry and academia and have specialized in some of the latest areas of in Computer Science and Engineering, which includes, Computer Networks, Wireless Network Security, Cryptography, Wireless Sensor Networks, Cloud Computing, and so on. In addition to that, the faculty is also actively involved in some of the joint research projects with industries.

    Faculty members are engaged in breakthrough research across the leading areas of computer science and engineering. Our faculty’s diverse research interests allow students to customize their experience and find solutions to real-world problems. Students and faculty members work together in symbiotic relationships, and faculty members pay special attention to students to ensure success in the program. The CSE department has a multidisciplinary paradigm that allows students and faculty to collaborate with other departments, guaranteeing interests are met. Career in IT is considered one of the most high-paying jobs and is full of opportunities. The pool of talented computer engineers working in companies show that IT can take a person to higher levels. The students of CSE have performed excellently well in campus placements of reputed IT industries which include TCS, WIPRO, INFOSYS to name a few. Post-graduation students have acquired their internships and projects in companies such as ROBERT-BOSH, LUCENT, UNISYS, GLOBAL EDGE, TCS, and so on. The department is actively involved in hosting many additional training programs for students in niche areas such as MOBILE PROGRAMMING, QUALNET, IBM TECHNOLOGOIES, LOTUS DOMINO, and so on.

    We educate tomorrow’s innovators, conduct cutting-edge research in most of the principal areas of the field, and lead a broad range of multi-disciplinary initiatives that demonstrate the transformative power of computer science and computer engineering. In other words, they are not stereotypical computer scientists and engineers. The distinguished faculty and diligent students of the CSE department are making an impact and changing the world.

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Programs

Under Graduate

B.E. in Computer 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)

1. Employable

Computer Science graduates will exhibit the ability to apply their knowledge and skills to become a successful IT practitioner or Entrepreneur.

2. Professionalism

Our graduates will exhibit the ability to function ethically and responsibly in their profession with active participation to uplift the societal status.

3. Inter-Disciplinary

Computer Science graduate will function successfully as team member / leader in multi-disciplinary teams.

4. Continuous learning

Our graduates will be able to augment themselves with the skills and knowledge of innovations and remain in par with the state-of-the-art technology.

Program Outcomes (POs)

The Programme Outcomes of Computer Science & Engineering shall acquire completeness to practice at appropriate level and shall demonstrate,

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 Science & Engineering

Career Scope

M.Tech graduates in Computer Science are considered experts in a number of computer application fields and are eagerly recruited by both software and hardware industries. Plus, they are also sought after as Systems Administrators in a number of modern corporates which have extensively implemented computerised processes in their operations.

 

Duration : 2 Years
Eligibility : BE / Equivalent Degree

Vision

"Acharya Institutes, Committed to the cause of value-based education in all disciplines, envisions itself as a fountainhead of innovative human enterprise, with inspiration initiatives for Academic Excellence.”


Mission

• Act as the nurturing ground for young computing aspirants to attain the excellence by imparting the quality education.
• Create an environment conducive for Research and Innovation.


Advisory Board

Chief Advisor

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

 

Chairman

Dr. Prashanth C M
Professor & Head,
Department of Computer Science & Engineering.

 

Member Secretary

Dr. P Veereshwara Kumar
Professor,
Department of Computer Science & Engineering.

 

Members

Dr. Chandrashekaran
Professor, Department of CS&E,
National Institute of Technology Karnataka, Surathkal.

Dr. Rajanikanth K
Principal (Former),
MSRIT, Bengaluru.

Dr. Basavaraju T G
Professor and HOD,
Department of Computer Science & Engineering,
SKSJIT, Bengaluru.

Mr. Kishore P N
CEO, Verican Technologies Pvt. Ltd,
Bengaluru.

Mr. Sridhar D P
CEO, Innovation Enabler Inc(US)
India Office: Ssquare Innovation Softlabs Pvt. Ltd, Bengaluru

Mrs. Jyothi
Managing Director, FulcrumEdu, Bengaluru

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.

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Prof. Surekha K.b. Assistant Professor Grade I

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Prof. Vani K S Assistant Professor Grade II

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Prof. Naidila Sadashiv Assistant Professor Grade II

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Prof. Rajeev Bilagi Assistant Professor Grade II

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Prof. Md Ziaur Rahman Assistant Professor Grade III

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Prof. Varshini Vidyadhar Assistant Professor Grade III

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Prof. Dayananda Lal N Assistant Professor Grade III

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Prof. Sunil G L Assistant Professor Grade III

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Prof. Manujakshi B.c Assistant Professor Grade III

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Prof. Latharani T R Assistant Professor Grade III

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Prof. Karthik D U Assistant Professor Grade-III

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Prof. Bhavana A Assistant Professor Grade III

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Prof. Prasanna Kumar M Assistant Professor Grade-III

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Prof. Ancy Thomas Assistant Professor Grade III

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Prof. Sowmya P Assistant Professor Grade III

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. Jayalakshmi N Instructor

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Mr. Anirudha Keshwan Network Engineer


    Haptics, Image Processing

    This group is involved in design and implementation of Haptic Algorithms for Haptic devices, Novel and Efficient Algorithmic Models for Identification of fungi in food and fodder, primary screening of patients, the Visual Surveillance systems for detection of abnormal and unusual events.

    Multicore Architecture

    This group is involved in Analyzing performance & Efficiency of different multi core architectures to exhibit the significance of parallelism.

    Computer Networks & Wireless Sensor Networks

    This group is involved in Identifying, Analyzing and improving existing 4G wireless network security standards. Coverage issues, life time optimization of WSNs, developing Energy efficient routing protocols and cross layer protocols in WSNs.

    Data Mining

    Data mining methods for large scale data- Mining of Temporal Association Rules, text Mining, stream Mining.

    Cloud Computing, Big Data & Software Engineering

    This group is involved in Testing diverse application in cloud environment, Management of resources in large scale cloud computing to provide QoS to the end users and Estimating the cost for any industry applications.

    Mr. Nagesh A G
    Research Area: Networks.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. Varalakshmi B D
    Research Area: Haptics with IoT.
    University: Visvesvaraya Technological University, Belagavi.

    Mrs. Surekha K B
    Research Area: Networks.
    University: JNTU, Hyderabad.

    Mr. Deepak S S
    Research Area: Networks.
    University: JNTU, Hyderabad.

    Mr. Ziaur Rahman
    Research Area: Cloud Computing.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. Gayathri Kamath
    Research Area: Cloud Computing.
    University: JNTU, Hyderabad.

    Mr. Sunil G L
    Research Area: Data Mining.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. Varshni Vidyadhar
    Research Area: Network Routing Protocals.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. T Latha Rani
    Research Area: Digital Image Processing.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. Manujakshi B C
    Research Area: Big Data with Cloud Computing.
    University: Visveswaraya Technological University, Belagavi.

    Mr. Rajeev Bilagi
    Research Area: Security in Cloud Computing.
    University: Visveswaraya Technological University, Belagavi.

    Mrs. Ancy Thomas
    Research Area: Data Mining.
    University: Visveswaraya Technological University, Belagavi.

    Mr. Prasanna Kumar M
    Research Area: IoT.
    University: Visveswaraya Technological University, Belagavi.

Course Catalog

Computer Science and Engineering (B.E.)

Semester 1

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

Semester 2

  • Engineering Mathematics - II
  • Engineering Chemistry
  • Programming in C and Data Structures
  • 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 Organization
  • 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 Programming with JAVA
  • Data Communications
  • Design and Analysis of Algorithm Laboratory
  • Microprocessors Laboratory

Semester 5

  • Management and Entrepreneurship for IT industry
  • Computer Networks
  • Operating Systems.
  • Database Management System
  • Automata Theory and Computability
  • Professional Elective - 1
  • Open Elective - 1
  • Computer Network Laboratory
  • DBMS Laboratory with Mini Project

Semester 6

  • Cryptography, Network Security and Cyber Law
  • Computer Graphics and Visualization
  • System Software and Compiler Design
  • Operating Systems
  • Professional Elective - 2
  • Open Elective - 2
  • System Software and Operating System Laboratory
  • Computer Graphics Laboratory with Mini Project

Semester 7

  • Object Oriented Modeling and Design.
  • Embedded Computing Systems.
  • Programming the Web.
  • Advanced Computer Architectures.
  • 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

Professional Elective - 1

  • Object Oriented Analysis and Design
  • Software Testing
  • Advanced JAVA and J2EE
  • Advanced Algorithms

Professional Elective – 2

  • Data Mining and Data Warehousing
  • Software Architecture and Design patterns
  • Operations Research
  • Distributed Computing Systems

Open Elective - 1

  • Programming in JAVA
  • Artificial Intelligence
  • Embedded Computing Systems
  • Dot Net Framework for Application Development
  • Cloud Computing

Open Elective – 2

  • Mobile Application Development
  • Big Data Analytics
  • Mobile Computing
  • Python Application Programming
  • Service Oriented Architecture
  • Multicore Architecture and Programming

Group E

  • Ad-hoc Networks.
  • Software Testing.
  • ARM Based System Design.
  • Services Oriented Architecture.
  • Clouds, Grids and Clusters.
  • Multi-core Architecture and Programming.

  Download 2010 Scheme Syllabus

  Download 2015 Scheme Syllabus

Computer Science & Engineering (M.Tech)

Semester 1

  • Advances in Operating Systems
  • Cloud Computing
  • Advances in Data Base Management System
  • Probability Statistics and Queuing Theory
  • Course Elective – I
  • Operating Systems and ADBMS Laboratory
  • Seminar

Semester 2

  • Managing Big Data
  • Advances in Computer Networks
  • Advanced Algorithms
  • Internet of Things
  • Course Elective – II
  • Mini-project
  • Seminar

Semester 3

  • Seminar/Presentation on Internship
  • Report on Internship
  • Evaluation and Viva-Voce of Internship
  • Evaluation of Project phase-I

Semester 4

  • Machine Learning Techniques
  • Course Elective-III
  • Evaluation of Project Phase-II
  • Evaluation of Project Phase-III
  • Evaluation of Project Work and Viva-Voce.

Electives

Elective-I

  • Advances in Digital Image Processing
  • Advances in Storage Area Networks
  • Embedded Computing Systems
  • Advances in Computer Graphics

Elective-II

  • Artificial Intelligence and Agent Technology
  • Pattern Recognition
  • Information and Network Security
  • Web Services

Elective-III

  • Computer Vision.
  • Business Intelligence and its Applications.
  • Agile Technologies.
  • Wireless Network and Mobile Computing.

  Download 2016 Scheme Syllabus

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