433-303 Artificial Intelligence

433-253 Algorithms and Data Structures and 433-255 Logic and Computation.

The objective of this subject is for students to understand the foundations of artificial intelligence and the associated technologies that evolved in both declarative and procedural approaches.

Topics covered include searching, problem solving, logic and deduction, knowledge representation, machine learning, programming languages for artificial intelligence; and a selection from the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and planning, neural networks.

• ability to apply knowledge of basic science and engineering fundamentals

• in-depth technical competence in at least one engineering discipline

• ability to undertake problem identification, formulation and solution

• understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and the need for sustainable development

• expectation of the need to undertake lifelong learning, capacity to do so

• capacity for independent critical thought, rational inquiry and self-directed learning

• intellectual curiosity and creativity, including understanding of the philosophical and methodological bases of research activity

• openness to new ideas and unconventional critiques of received wisdom

• profound respect for truth and intellectual integrity, and for the ethics of scholarship

• international awareness and openness to the world, based on understanding and appreciation of social and cultural diversity and respect for individual human rights and dignity

A programming project in two parts during semester, expected to take about 36 hours (30%); and a 3-hour end-of-semester written examination (70%). To pass the subject, students must obtain at least 50% overall, 15/30 in project work, and 35/70 in the written examination.