2021 Advanced Topics in Computing BO

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Academic unit or major
School of Computing
Undecided  Koike Hideki 
Course component(s)
Day/Period(Room No.)
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Academic year
Offered quarter
Syllabus updated
Lecture notes updated
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Course description and aims

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.

Student learning outcomes

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


state-of-the-art topics in Computer Vision

Competencies that will be developed

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

Class flow

Specified in the class

Course schedule/Required learning

  Course schedule Required learning
Class 1 Visual features 1 Specified in the class
Class 2 Visual features 2 Specified in the class
Class 3 Programming assignment (Hough Transform) Specified in the class
Class 4 Visual recognition 1 Specified in the class
Class 5 Visual recognition 2 Specified in the class
Class 6 Programming assignment (BoW) Specified in the class
Class 7 Machine learning Specified in the class
Class 8 CNN Specified in the class
Class 9 Programming assignment (Deep learning) Specified in the class
Class 10 Image geometry1 Specified in the class
Class 11 Image geometry 2 Specified in the class
Class 12 Programming assignment (Homography) Specified in the class
Class 13 Structure from motion 1 Specified in the class
Class 14 Structure from motion 2 Specified in the class
Class 15 Special topic Specified in the class

Out-of-Class Study Time (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.


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.

Assessment criteria and methods

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 (i.e., required knowledge, skills, courses, etc.)

Specified in the class

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