B.Tech CSE Artificial Intelligence

Teacher
JAIN
Category:
Artificial Intelligence

B.Tech CSE Artificial Intelligence is an advanced program which helps students learn the basics of designing machines which can learn and solve problems. The program exposes students to techniques and processes involved in design of AI machines and their limitations in application. As one of the fastest growing domains of computer science sector, Artificial Intelligence can make way for a wide range of rewarding career opportunities. The program is specifically designed to include subjects which not only form a strong foundation in computer science but also offer comprehensive exposure in AI domain.

**MOU is under progress

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

The program is designed with an aim to ensure that students learn the basics of computer science and engineering and are thoroughly trained to become successful professionals in artificial intelligence domains. The program is designed to serve the following objectives.

  • Become familiar with several powerful search techniques for automatically solving complex problem
  • Develop sufficient expertise in both the theory of machine learning and its application to data mining, so as to use these powerful techniques in a wide range of industrial contexts, for example bioinformatics, electronic commerce and finance
  • Understand mathematical models and apply them to a range of AI problems
  • Learn about various Machine learning, image analysis, vision techniques algorithms and resolve real time problems

Curriculum*

*Subject to change

Semester 1

  • Engineering Mathematics -I
  • Physics
  • Communicative English
  • Problem Solving Through Programming
  • Engineering Graphics
  • Physics Lab
  • Problem Solving Through Programming Lab
  • Communicative English Lab
  • Induction Programme (non-credit)

Semester 2

  • Engineering Mathematics – II
  • Chemistry
  • Basics of Electrical Engineering
  • Workshop Practice
  • Sociology and Elements of Indian History
  • Chemistry Lab
  • Electrical Engineering Lab
  • Constitution of India (non-credit)

Semester 3

  • Mathematics for Computer Science
  • Economics for Engineers
  • Data Structures using C
  • Object Oriented Programming using JAVA
  • Digital Electronics
  • Data Structures using C Lab
  • Object Oriented Programming using JAVA – Lab
  • Digital Electronics Lab

Semester 4

  • Database Management Systems
  • Design and Analysis of Algorithms
  • Principles of Operating Systems
  • Business Communication and Presentation Skills
  • Computer Organization and Architecture
  • Linear Algebra
  • Database Management Systems Lab

Semester 5

  • Enterprise Network Engineering
  • Artificial Intelligence
  • Big Data Management
  • Soft Computing
  • Elective-I
  • Enterprise Network Engineering Lab
  • Big Data Management Lab
  • IT Workshop(Python)

Elective I

  • Knowledge Representation and Reasoning
  • Computer Human Interaction
  • Embedded System

Semester 6

  • Sensor Technologies
  • Logic Programming and Uncertainty in Artificial Intelligence
  • Elective – II
  • Elective – III
  • Open Elective-I
  • Project Work – I

Elective II

  • Fuzzy Logic and Application
  • Speech Processing
  • Data Mining

Elective III

  • Natural Language Processing
  • Real Time Data Processing
  • Probabilistic Graphical Models 

Open Elective I

  • Data Visualization
  • Computer Graphics

Semester 7

  • Elective –IV
  • Elective –V
  • Open Elective-II
  • Artificial Neural Network
  • Elective –IV Lab
  • Project Work –II

Elective IV

  • Genetic Algorithm and Applications
  • Robotics
  • Graphical Models and Bayesian Networks

Elective V

  • Pattern Recognition using Machine Learning
  • NoSQL Databases
  • Design and Analysis of Experiments

Open Elective II

  • Deep Learning
  • Advanced Big Data Analytics

Semester 8

  • Elective-VI
  • Open Elective-III
  • Open Elective-IV
  • Internship/Project work –II

Elective VI

  • Industry Use-Cases of AI
  • Predictive Analytics
  • Operations Research

Open Elective III

  • Reinforcement Learning
  • Recommender System
  • Time series Analysis

Open Elective IV

  • Application of AI and ML in Robotics
  • Expert system
  • AI Platforms

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Enrolled: 2 students
Duration: 4 Years | Full-time