B.Tech.CSE

Teacher
Saravana Kumar
Category:
Computer Engineering

Programme Overview:

Computer Science Engineering encompasses the design, implementation, and management of information systems of both software and hardware processes. The field has progressed rapidly, with new developments every few years and its applications becoming a part of our everyday life. The basicsare now taught at a very early level in education, with advanced branches developing into specialized areas with a higher impact on society

To train the graduates aspiring for this field, CT Group of Institutions has started the new-age B.Tech. CSE programme. The graduates will be able to undertake careers involving innovation and problem solving using computational techniques and technologies, owing to a balanced exposure to applied as well as theoretical aspects of computing through practical and application-oriented learning.technology and applications.

Programme Objectives:

  • Prepare leading professionals in government, academia, corporates and research organizations having entrepreneurial pursuits.
  • Prepare graduates capable of articulating and solving problems in Computer Science and Engineering.
  • Prepare graduates with high learnability and adaptability to the constantly changing technological environment.

Curriculum*

*Subject to change

Semester 1

  • Physics
  • Physics (Lab)
  • Maths – I
  • Basic Electrical Engineering
  • Basic Electrical Engineering (Lab)
  • Engineering Graphics & Design
  • Mentoring and Professional Development

Value add course

  • Introduction to Data Science / Introduction to Cybersecurity / Introduction to Artificial Intelligence
  • Coding and Computational Thinking – I

Semester 2

  • Chemistry – I
  • Chemistry – I (Lab)
  • Maths – II
  • Programming for Problem Solving
  • Programming for Problem Solving (Lab)
  • Workshop / Manufacturing Practices
  • English
  • English (Lab)
  • Mentoring and Professional Development

Value add course

  • Data Science CTP-I(2) / Cyber security CTP-I(2) / Cloud Technology CTP-I(2)
  • Coding and Computational Thinking – II
  • English – II

Semester 3

  • Digital Electronics
  • Data Structure & Algorithms
  • Object Oriented Programming
  • Mathematics – III
  • Foundation Course in Humanities (Development of Societies / Philosophy)
  • Digital Electronics (Lab)
  • Data Structure & Algorithms (Lab)
  • Object Oriented Programming (Lab)
  • IT Workshop

Value add course

  • Data Science-I(3) / Cybersecurity-I(3) / Cloud Technology-I(3)
  • Coding and Computational Thinking – III
  • Employability Skills Programme – I

Semester 4

  • Discrete Mathematics
  • Computer Organization& Architecture
  • Operating Systems
  • Design &Analysis of Algorithms
  • Universal Human Values 2
  • Environmental Sciences
  • Computer Organization & Architecture (Lab)
  • Operating Systems (Lab)
  • Design &Analysis of Algorithms (Lab)

Value add course

  • Data Science-II(2) / Cybersecurity-II(2) / Cloud Technology-II(2)
  • Coding and Computational Thinking – IV
  • Employability Skills Programme – II

Semester 5

  • Database Management Systems
  • Formal Language & Automata Theory
  • Software Engineering
  • Computer Networks
  • Elective – I
  • Constitution of India / Essence of Indian Traditional Knowledge
  • Database Management Systems (Lab)
  • Software Engineering (Lab)
  • Computer Networks (Lab)
  • Elective – I (Lab)

Value add course

  • Data Science CTP-II(3) / Cybersecurity CTP-II(3) / Cloud Technology CTP-II(3))
  • Employability Enablement Programme

Semester 6

  • Compiler Design
  • Artificial Intelligence
  • Elective – II
  • Elective – III
  • Open Elective – I
  • Project – I
  • Compiler Design (Lab)
  • Artificial Intelligence (Lab)
  • Elective – II (Lab)
  • Elective – III (Lab)

Value add course

  • Data Science CTP-III / Cybersecurity CTP-III /
    Cloud Technology CTP-III

Semester 7

  • Network Security and Cryptography Semester Training
  • Data Mining and Data Warehousing
  • Open Elective – II
  • Elective – IV
  • Elective – V
  • Project – II
  • Elective – IV (Lab)
  • Elective – V (Lab)

Value add course

  • Data Science CTP-IV / Cybersecurity CTP-IV /
    Cloud Technology CTP-IV

Semester 8

  • Semester Training

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Enrolled: 4 students
Duration: 4 Years | Full-time