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Free download of Sikkim Manipal University, SMU previous year, last year, sample question paper for  : [Artificial Intelligence & Remote Communication] MT0039. Find question and answer for Part-A 2 marks, Part-B 4 Marks and Part-C 8 marks. Free download of question paper of previous year test.   Artificial Intelligence & Remote Communication , MT0039 question paper includes multiple choice options and answer also.

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   SMU >> MSc IT >> MT0039

   Artificial Intelligence & Remote Communication

This is the collection of Sikkim Manipal University (SMU) question paper for MSc IT - Artificial Intelligence & Remote Communication. It will help you to prepare your examination. All questions are classified as per question type like PART - A of 2 marks, PART - B of 4 marks and PART - C of 8 marks same as actual examination. SMU question paper set which includes year 2017, 2016, 2015 SMU question papers of Artificial Intelligence & Remote Communication are updated regularly and it is absolutely free to use. SMU Question paper includes multiple choice question and answer as same as real and original examination. It will help you to study and prepare for your final SMU examination.

Sikkim Manipal University
SMU Question Paper
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  1. BCA
  2. MCA
  3. BSc IT
  4. MSc IT
  5. MBA


   Get SMU Assignment   



Course Name
        MSc IT (Master of Science in Information Technology)

Subject Code      
MT0039 (Artificial Intelligence & Remote Communication)

Get Questions        PART - A    PART - B    PART - C


Artificial Intelligence & Remote Communication Syllabus.

Unit 1: Introduction to AI
Introduction to AI, History of Artificial Intelligence

Unit 2: Problem Solving by Searching
Agents and Environments, Definitions, Problem Representation, State-Space Representation, Problem Reduction Representation, Search Methods, Blind State-space Search, Blind AND/ OR Graph Search, Heuristic State-space Search, Heuristics AND/OR Graph Search

Unit 3: Knowledge Representation and Reasoning
Introduction to Knowledge Representation, Survey of Knowledge Representation Schemes, Reason Based Knowledge Representation

Unit 4: Introduction to Remote Communication
Introduction to Remote Communication, Channel Capacity, Nyquist Bandwidth, Shannon Capacity Formula and Noise Power, Transmission Media, Multiplexing, Propagation Modes, Signal encoding Techniques

Unit 5: Wireless Communication and Networking
Satellite Communication, Cellular Wireless Networks, Wireless LAN

Unit 6: Applications of AI in Remote Communication
Overview of AI Applications, Growth of Expert Systems, Applications of AI in Remote Communication

  Get Questions        PART - A    PART - B    PART - C



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