We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

COMPUTER GRAPHICS

COMPSCI 559
Course Description

Survey of computer graphics. Image representation, formation, presentation, composition and manipulation. Modeling, transformation, and display of geometric objects in two and three dimensions. Representation of curves and surfaces. Rendering, animation, multi-media and visualization. Fluency with vector mathematics (e.g., fromMATH 234or a linear algebra class) is recommended.

Prerequisites

MATH 222 and (COMP SCI 367 or COMPSCI 400 ) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.56

12.09% from Historical

Completion Rate
95.97%

1.48% from Historical

A Rate
66.13%

107.33% from Historical

Class Size
124

39.08% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

VIRTUAL REALITY

COMPSCI/DS 579

Introduces the field of virtual reality with an emphasis on creating immersive, interactive virtual experiences. Survey topics include the history of virtual reality technology, computer graphics and 3D modeling, human perception and psychology, and principles of human-computer interaction and user interface design. Is intended for individuals with backgrounds in Computer Science, Engineering, Art, Architecture, or Design.

GRADUATE GRAPHICS WORKSHOP I

ART 736

Graduate level study in advanced graphics media. Emphasis on development of personal concepts.

INFORMATION GRAPHICS

ART 463

This course examines the theory and practice of visual representation of information. Students will learn to create effective and illuminating graphical displays of data based on four basic formulations -- location, time, category, hierarchy, and index.

INTRODUCTION TO DATA VISUALIZATION

COMPSCI 565

Introduction to topics such as perception, cognition, communication, design, implementation, applications, tools, and evaluation. Provides a broad survey of the field and covers fundamental concepts, theory, and tools in data visualization with opportunities for hands-on activities. Gain real-world experience in designing and evaluating visualizations.

COMPUTER VISION

COMPSCI/ECE 766

Fundamentals of image analysis and computer vision; image acquisition and geometry; image enhancement; recovery of physical scene characteristics; shape-from techniques; segmentation and perceptual organization; representation and description of two-dimensional objects; shape analysis; texture analysis; goal-directed and model-based systems; parallel algorithms and special-purpose architectures. Students are strongly encouraged to have basic proficiency in calculus and linear algebra, such asMATH 340, and basic programming such asCOMP SCI 300.