Portland Community College | Portland, Oregon

Computer Vision is commonly associated with current approaches to AI and Machine Learning, but is also a field of research with decades of history. This course intends to leverage the history of Computer Vision as a narrative through which to explore beginner and intermediate coding topics, and explore general mathematics concepts with an interactive, code-forward approach. This course will build confidence through exercises in using code to solve problems, while invoking current themes in AI within a Humanities context.

Upon completion of the course students should be able to:

• Recount history of computer vision in context of power relations, connecting computational methods, their proliferation and cultural impact.
• Identify use cases, potential ethical or social concerns, and common methods of deriving information from digital images.
• Implement algorithms that transform and filter digital images to produce data.
• Assess emergent outcomes of different ways of solving problems within large systems.

• Code Notebooks
• Group/Pair Programming
• Readings and Case Studies
• Interactive Software
• Process Visualizations

• Code Review
• Class Participation
• Assignments
• Projects

History of using technology to interpret images

Structure of digital representations of images

Convolution

Matrix operations

Images as digital signals

Optical Character Recognition

Eigen Faces

Probability

Statistics