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M.Tech. (Artificial Intelligence & Artificial Neural Networks)  Course Details

Overview
Artificial Intelligence is widely used for complex problem-solving and decision-support techniques in real-time business applications. The business applicability of A.I. techniques is spread across functions ranging from finance management to forecasting and production.

The program aims to train students in A.I. as a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc.

The students will also learn a wide range of applications from the military for autonomous control and target identification, to the entertainment industry for computer games and robotic pets, to the big establishments dealing with huge amounts of information such as hospitals, banks and insurances, prediction of customer behaviour, detect trends, cross-selling, customer relationship management analytics, demand prediction, failure prediction, and non-linear control.
Semester wise Coverage
SEMESTER I
  • Problem Solving Methods
  • Automated Reasoning
  • Knowledge Engineering and Expert Systems
  • Computational Intelligence
  • AI & Artificial Neural Networks
  • Signal Processing  
SEMESTER II
  • Embedded Systems
  • Agent Based Intelligence Systems
  • Image Processing & Machine Vision
  • Soft Computing
  • Modeling and Simulation of Digital Systems
  • AI Based Programming Tools
  •  Seminar on Assigned Topics
SEMESTER III
  • Natural Language Processing
  • Speech Processing/ Bio Metric processing
  • Machine Learning
  • Cognitive Systems
  • Human Computer Interaction
  • Interface Technologies
  • Summer Internship
  • Summer Internship Seminar
  • Project 1
SEMESTER IV
  • Project 2
Eligibility Criteria
  • Minimum 60% marks at Higher & Senior Secondary level (10th & 12th)
  • B. Tech. / B.E. (IT/ CSE/ EEE/ ECE/ Instrumentation & Control)/ M. Sc. (IT/CSE)  with minimum 60% marks
Admission Criteria
Screening of Application & Interview
Duration
2 Years
Fee Structure (Per Semester in Rs.)
Semester  Tuition Fee  Academic Services Fees  Total Fee
I 49,500 16,500 66,000
II 49,500 16,500 66,000
III 51,975 17,325 69,300
IV 51,975 17,325 69,300
Campus
Dehradun
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