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B. Tech. in Computer Science & Engineering

Overview

In addition to offering core subjects, it allows students to select from a broad range of elective subjects. This will enable them to gain domain knowledge and practice oriented learning in key computer science and engineering aspects.

The electives offered aim to equip graduates with the skills and expertise required to design and develop computer software for diverse system-based environments, computing solutions for optimising and enhancing system performance, and applications in areas such as robotics, computer vision, digital forensics, image processing, pattern recognition techniques, machine learning, and protocol verification.

Course Duration

B. Tech. (Regular): Four years (Full-time)

B. Tech. (Lateral): Three years (Full-time)

Programs Offered

  1. Block Chain Technologies
  2. Cloud Computing
  3. Cyber Security
  4. DevOps
  5. Full Stack Development
  6. Internet of Things (IoT)
      Commence of the course

      January 2020 & July 2020


      Course Duration

      4 Years


      Mode of Study

      Full Time Course

      Eligibility


      For Regular

      10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subject.

      Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.


      For Lateral Entry

      Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

      Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

      A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.


      Programme Features

      Flexible curriculum offering a wide range of elective subjects for specialisation.

      Emphasis on practice-oriented learning in key areas of computer science and engineering.

      Exposure to cutting-edge advancements and emerging technologies to ensure up-to-date knowledge.

      Equips graduates with a comprehensive skill set for designing software and solving challenges in diverse computing domains.

      Course Structure - Programs Offered

      Semester Subject Title
      IV Introduction to Virtualization and Cloud Computing
      Cloud Computing Architecture and Deployment Models
      V Internet and Cloud Computing
      Network Storage Technologies
      VI Cloud Architecture and Computing
      VII Aglie Cloud Automation
      Semester Subject Title
      IV Fundamentals of cyber security
      Cyber security algorithms
      V Cyber Security Risk Management and Mitigation
      Fundamentals of Blockchain and Cryprocurrencies
      VI Mobile and Network based Ethical Hacking
      VII Cyber Security Standards Policies and Practices
      Semester Subject Title
      IV Machine Learning with Python
      Topics in Artificial intelligence
      V Algorithm for Intelligent Systems and Robotics
      Advanced Machine Learning
      VI Cognitive Analytics
      VII High Performance Computing
      Semester Subject Title
      IV Introduction to IOT
      IoT Sensor Technologies
      V IoT Architecture and its Protocols
      IoT cloud and data analytics
      VI Industrial IoT 4.0
      VII Internet of Medical Things
      Semester Subject Title
      IV Introduction to Data Analytics
      Introduction to Data Modeling and Processing
      V Bigdata Analytics
      Data Science with Python
      VI Data Warehousing and Business Intelligence
      VII Data Visualization Techniques

      Programme Structure

      Electives

      • Minor Elective I (Intellectual Property Rights)
      • Minor Elective II (Entrepreneurship Management)
      • Principles of Data communication
      • Net Technology
      • Object Oriented Modeling and Design
      • Computer organization and architecture
      • Introduction to Micro processors
      • Distributed System
      • Java Programming
      • Theory of Computation
      • Virtual Reality
      • Artificial Intelligence
      • Data Ware housing and Data Mining
      • Computer Systems Performance Analysis
      • Multi Agent System
      • Scripting Language ( Pearl & Python)
      • Mobile Computing
      • Image Processing
      • Wireless Sensor Network
      • Advanced Computer Architecture
      • Open Elective I (Data structures with C)
      • Open Elective II (Object Oriented Programming with C++)
      • Open Elective III (Computational Complexity)
      • Open Elective IV (Compiler Design)
      • Open Elective V (Data Science & Analytics)
      • Career Development Program I (Communication and Soft Skills)
      • Career Development Program II (Aptitude and Quantitative Skills)
      • Career Development Program III (Critical Reasoning and Logical Skills)
      • Career Development Program IV (Problem Solving Skills)
      • Career Development Program V (Technical Capstone)

      Note: An elective subject is offered in the B. Tech. in Computer Science and Engineering course only if a minimum number of students enroll in it.

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