Artificial Intelligence detailed syllabus for Electronics & Instrumentation Engineering (EIE), R18 regulation has been taken from the JNTUHs official website and presented for the students of B.Tech Electronics & Instrumentation Engineering branch affiliated to JNTUH course structure. For Course Code, Course Titles, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.
For all the other EIE 4th Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH scheme, visit Electronics & Instrumentation Engineering 4th Year 1st Sem R18 Scheme.
For all the (Open Elective-2) subjects refer to Open Elective-2 Scheme. The detail syllabus for artificial intelligence is as follows.
Prerequisites:
- A course on Computer Programming and Data Structures.
- A course on Advanced Data Structures.
- A course on Design and Analysis of Algorithms.
- A course on Mathematical Foundations of Computer Science.
- Some background in linear algebra, data structures and algorithms, and probability will all be helpful.
Course Objective:
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Course Outcome:
- Ability to formulate an efficient problem space for a problem expressed in natural language.
- Select a search algorithm for a problem and estimate its time and space complexities.
- Possess the skill for representing knowledge using the appropriate technique for a given problem.
- Possess the ability to apply AI techniques to solve problems of game playing, and machine learning.
Unit – I
Problem Solving by Search-I: Introduction to AI, Intelligent Agents Problem Solving by Search -II: Problem-Solving Agents, Searching for Solutions, Uninformed Search Strategies: Breadth-first search, Uniform cost search, Depth-first search, Iterative deepening Depth-first search, Bidirectional search, Informed (Heuristic) Search Strategies: Greedy best-first search, A* search, Heuristic Functions, Beyond Classical Search: Hill-climbing search, Simulated annealing search, Local Search in Continuous Spaces, Searching with Non-Deterministic Actions, Searching wih Partial Observations, Online Search Agents and Unknown Environment .
Unit – II
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Unit – III
Logic and Knowledge Representation First-Order Logic: Representation, Syntax and Semantics of First-Order Logic, Using First-Order Logic, Knowledge Engineering in First-Order Logic. Inference in First-Order Logic: Propositional vs. First-Order Inference, Unification and Lifting, Forward Chaining, Backward Chaining, Resolution. Knowledge Representation: Ontological Engineering, Categories and Objects, Events. Mental Events and Mental Objects, Reasoning Systems for Categories, Reasoning with Default Information.
Unit – IV
Planning Classical Planning: Definition of Classical Planning, Algorithms for Planning with State-Space Search, Planning Graphs, other Classical Planning Approaches, Analysis of Planning approaches. Planning and Acting in the Real World: Time, Schedules, and Resources, Hierarchical Planning, Planning and Acting in Nondeterministic Domains, Multi agent Planning.
Unit – V
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Text Books:
- Artificial Intelligence A Modern Approach, Third Edition, Stuart Russell and Peter Norvig, Pearson Education.
Reference Books:
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For detail syllabus of all other subjects of B.Tech Electronics & Instrumentation Engineering 4th Year 1st Sem , visit EIE 4th Year 1st Sem syllabus subjects.
For B.Tech Electronics & Instrumentation Engineering (EIE) 4th Year results, visit JNTUH B.Tech Electronics & Instrumentation Engineering semester results direct link.