Overview

B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning is a 4-year undergraduate program that trains students in the field of computer science with a focus on AI and ML.

Here is an overview of the program:

  1. Core computer science subjects: The program covers the fundamentals of computer science including programming, algorithms, data structures, computer organization, and software engineering.

  2. Artificial Intelligence: The program covers the principles of artificial intelligence, including knowledge representation, reasoning, planning, machine learning, natural language processing, and robotics.

  3. Machine Learning: The program provides an in-depth understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and data mining.

  4. Data Science: The program includes courses on data analytics, data visualization, and big data technologies.

  5. Electives: The program offers a range of electives to allow students to specialize in specific areas of interest, such as computer vision, natural language processing, or robotics.

  6. Projects: The program includes several projects where students get to apply the concepts learned in class to real-world problems, giving them hands-on experience in AI and ML.

  7. Career Opportunities: Graduates of this program can work as data scientists, machine learning engineers, AI researchers, software developers, and more in industries such as healthcare, finance, e-commerce, and robotics.

Overall, a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning is an excellent choice for students who want to pursue a career in the rapidly growing field of AI and ML.

Syllabus

Semester I

  • Mathematics I
  • Physics I
  • Chemistry I
  • Programming and Data Structures
  • Engineering Drawing
  • Basic Electrical and Electronics Engineering
  • Workshop Practice

Semester II

  • Mathematics II
  • Physics II
  • Chemistry II
  • Object Oriented Programming using C++
  • Environmental Science and Engineering
  • Engineering Mechanics
  • Communication Skills

Semester III

  • Mathematics III
  • Data Structures and Algorithms
  • Computer Organization and Architecture
  • Digital Principles and System Design
  • Discrete Mathematics
  • Database Systems
  • Probability and Statistics

Semester IV

  • Design and Analysis of Algorithms
  • Operating Systems
  • Computer Networks
  • Compiler Design
  • Software Engineering
  • Microprocessors and Microcontrollers
  • Open Elective I

Semester V

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Data Science
  • Computer Graphics and Visualization
  • Distributed Systems
  • Open Elective II

Semester VI

  • Deep Learning
  • Reinforcement Learning
  • Big Data Analytics
  • Cloud Computing
  • Cyber Security
  • Internet of Things
  • Open Elective III

Semester VII

  • Project Work I
  • Seminar
  • Professional Elective I
  • Professional Elective II
  • Open Elective IV

Semester VIII

  • Project Work II
  • Professional Elective III
  • Professional Elective IV
  • Open Elective V

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