EE4016Applications of AI with Deep Learning

What you will study

Course overview and aims

This course will introduce the basics of Artificial Intelligence (AI) with a specific focus on deep learning, and its representative applications in engineering. In this course, students will learn the essential foundations of AI, from algorithms to programming tools. Students will gain a solid understanding of AI by building systems with modern platforms such as Python and its associated deep learning libraries.

Course content

Complete official information for this field is not available.

Before you take this course

Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.

Prerequisites

MA2001 Multi-variable Calculus and Linear Algebra, and EE2331 Data Structures and Algorithms

Precursors

Nil

Corequisites

This edition of the official syllabus does not state this item.

Additional course requirements

This edition of the official syllabus does not state this item.

Equivalent courses and conditions

Nil

Exclusive courses and conditions

EE5438 Applied Deep Learning

Assessment and passing the course

Assessment

Continuous assessment: 50%; Examination: 50%; Examination duration: 2 hours

Passing requirements

Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination.

The catalogue assessment percentages are indicative; the course syllabus provides the detailed assessment scheme.