Artificial Intelligence
Offered By: Gujarat University via Swayam
Course Description
Overview
Explore the fundamentals of artificial intelligence in this 15-week course covering state space search, genetic algorithms, neural networks, game playing strategies, knowledge representation, fuzzy logic, expert systems, and machine learning. Delve into unguided and guided search techniques, planning methods, minimax algorithms, predicate logic, resolution, and non-monotonic reasoning. Gain hands-on experience through weekly modules, assignments, and practical applications, culminating in a comprehensive understanding of AI principles and their real-world implementations.
Syllabus
COURSE LAYOUT
]]>Week Plan SUBJECT AI MOOC TITLE Introduction to Artificial Intelligence Week Title Modules covered in the Week Week 1 Introduction to AI and State space search 1,2,3 Week 2 Introduction to unguided and guided search 4,5,6 Week 3 Problems in search and solutions, Genetic algorithms 7,8 Week 4 Neural Networks, BPNN, learning process in BPNN 9,10,11 Week 5 Some other search methods and Admissibility 12,13,14,15 Week 6 Planning 16,17,18 Week 7 Game Playing 19,20 Week 8 REVISION AND ASSIGNMENT WEEK NONE Week 9 Minimax and other game playing algorithms 21,22,23 Week 10 Using predicate logic for Knowledge Representation 24,25 Week 11 Resolution and non-monotonic reasoning 26,27 Week 12 Strong methods for Knowledge Representation; Fuzzy logic and CD 28,29,30 Week 13 Scripts and Introduction to Expert systems 31,32,33 Week 14 Developing expert systems and Machine learning 34,35,36 Week 15 REVISION, ASSESSMENT and Evaluation NONE
Taught by
Prof. Bhushan Trivedi
Tags
Related Courses
Applications of AI TechnologyTaipei Medical University via FutureLearn Intro to Hyperparameter Tuning with Python
Codecademy Introduction to Complexity
Santa Fe Institute via Complexity Explorer Introduction to Complexity
Santa Fe Institute via Complexity Explorer Cómputo evolutivo
Universidad Nacional Autónoma de México via Coursera