Advanced Topics in Computing BO

Academic unit or major

Major courses

Instructor(s)

Undecided

Class Format

Lecture

Media-enhanced courses

-

Day of week/Period
(Classrooms)

Class

-

Course Code

XCO.T499

Number of credits

200

Course offered

2021

Offered quarter

2Q

Syllabus updated

Jul 10, 2025

Language

English

Syllabus

Course overview and goals

This course provides lectures on stat-of-the-art topics by faculty members invited from overseas universities.

Introduction to Computer Vision:
The goal of the course is to provide basic and advanced knowledge on Computer Vision such as visual features, visual recognition, machine learning, convolutional neural network, image geometry, and structure from motion, and to provide skills to make CV programs, including Hough Transform, Bag of Words, Deep Learning, and Homography.

Course description and aims

Students should be able to understand basic and advanced knowledge on Computer Vision and to develop CV programs.

Keywords

state-of-the-art topics in Computer Vision

Competencies

• Specialist skills
• Intercultural skills
• Communication skills
• Critical thinking skills
• Practical and/or problem-solving skills

Class flow

Specified in the class

Course schedule/Objectives

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None. The notes will be sent after each lesson to students who follow the lecture.

Reference books, course materials, etc.

will be provided in the class.

Evaluation methods and criteria

A take-home exam at the end of the course

Related courses

• XCO.T496 ： Advanced Topics in Computing AE
• XCO.T497 ： Advanced Topics in Computing AO
• XCO.T498 ： Advanced Topics in Computing BE

Prerequisites

Specified in the class