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Subject Syllabus

CE803 (A) - Artificial Intelligence

CIVIL · Semester 8

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Main components and characteristics of AI (Feature Engineering, ANN, Deep Learning), Applications of AIAdvantages and disadvantages of AI, Goals of AIComparison of Programming of a System with AI and without AI, Challenges in AIProgramming languages preferably used in AI, Techniques/Algorithms used in AI, AI Software platforms, Future of AI
Types of production systems, Characteristics of production systemsStudy and comparison of breadth first search and depth first search techniquesOther Search Techniques like hill Climbing, Best first Search, A* algorithm, AO* algorithms etc.Various types of control strategies
Problems in representing knowledge, knowledge representation using propositional and predicate logicComparison of propositional and predicate logic, Resolution, refutation, deduction, theorem proving, inferencingMonotonic and nonmonotonic reasoningProbabilistic reasoning, Baye's theorem, semantic networks, scripts, schemas, frames, conceptual dependency, fuzzy logicForward and backward reasoning
Minimax procedure, alpha-beta cut-offs etc, planningStudy of the block world problem in roboticsIntroduction to understanding and natural languages processing
Various techniques used in learning, introduction to Artificial neural networks, common sense, reasoningConvolution Neural Network, Feedforward Neural Network, Recurrent Neural Network, Multilayer perceptronArchitecture / Three Layers in Artificial Neural Networks, Implementation of ANNApplications of ANN in images, signals and languages; some example of expert systems