Sage already knows this exact syllabus — ask it anything about Artificial Intelligence, generate practice questions in your exam's format, and get a cram sheet that works offline.
What you'll be able to do (official learning outcomes)
explain AI fundamentals, concepts, goals, types, techniques, branches, applications
understand AI technology and tools
system must solve
describe the role of heuristics and the trade-offs among completeness, optimality, time complexity, and space complexity
analyze the types of search and their applications in AI and describe the problem of combinatorial explosion of search space and its consequences
demonstrate knowledge representation, semantic network and frames along with their applicable uses
Course contents
Overview of Artificial Intelligence. History of AI. Goals of AI. AI Technique. Types of AI. Branches and applications of AI. Advantages and Disadvantages. Introduction to Intelligent Agents. Agent Performance, Examples of Agents, Agent Faculties, Rationality, Agent Environment. Agent Architectures. Search.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study CSC 309.