ITL703: Intelligence System Lab Syllabus for IT 7th Sem 2019 Pattern Mumbai University

Intelligence System Lab detailed syllabus scheme for Information Technology (IT), 2019 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For all other Mumbai University Information Technology 7th Sem Syllabus 2019 Pattern, do visit IT 7th Sem 2019 Pattern Scheme. The detailed syllabus scheme for intelligence system lab is as follows.

Intelligence System Lab Syllabus for Information Technology BE 7th Sem 2019 Pattern Mumbai University

Course Objectives:

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Course Outcomes:

Students will be able to:

1. Design the building blocks of an Intelligent Agent using PEAS representation .
2. Analyze and formalize the problem as a state space, graph, design heuristics and select amongst different search or game based techniques to solve them.
3. Develop intelligent algorithms for constraint satisfaction problems and also design intelligent systems for Game Playing
4. Attain the capability to represent various real life problem domains using logic based techniques and use this to perform inference or planning.
5. Formulate and solve problems with uncertain information using Bayesian approaches.
6. Apply concept Natural Language processing and cognitive computing for creation of domain specific ChatBots.

Hardware/Software Requirements

PC i3 or above configuration. Java Python

Detailed Syllabus

1. Tutorial exercise for
   1. Design of Intelligent System using PEAS.
   2. Problem Definition with State Space Representation 2 LO 1, LO 2
2. Implementation of Uninformed and Informed Search Algorithms. 6 LO 2
3. Implementation of CSP and Game playing algorithms . 4 LO 3
4. 1. Assignment on Predicate Logic, for forward and backward reasoning and resolution.
   2. Design of a Planning system using STRIPS. 4 LO 4
5. Implementation of Bayes’ Belief Network. 2 LO 5
6. Mini project Construction of a domain specific ChatBot using Natural Language Processing techniques. ( Applications can include : Medical Diagnosis, Personal Shopping Assistant, Travel Agent , Trouble shooting etc. 8 LO6

Text Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Reference Books:

1. George Lugar, .AI-Structures and Strategies for Complex Problem Solving., 4/e, 2002, Pearson Education.
2. John Kelly , Steve Hamm, Smart Machines – IBM’s Watson and the Era of Cognitive Computing, Columbia Business School Publishing

Term Work:

Term Work shall consist of at least 10 to 12 practicals based on the above list. Also Term work Journal must include at least 2 assignments. Term Work Marks: 25 Marks (Total marks) = 20 Marks (Experiment + Mini-Project) + 5 Marks (Attendance) Oral Exam: An Oral exam will be held based on the above syllabus.

For detail syllabus of all other subjects of Information Technology (IT) 7th Sem 2019 regulation, visit IT 7th Sem Subjects syllabus for 2019 regulation.