Format
Lecture: 3 hours
Discussion: 1 hour
Catalog Description:
Principles of computer graphics, with a focus on interactive systems. Current graphics hardware, elementary operations in twoand threedimensional space, geometric transformations, camera models and interaction, graphics system design, standard graphics APIs, individual projects.
Prerequisites: Courses 60; Mathematics 22A or Mathematics 67
Credit restrictions /cross listings: None
Summary of course contents
Other topics such as Bezier curves, ray tracing, clipping and culling may be discussed.
Students implement class projects with the C and/or C++ programming language, using the computer systems available in the Computer Science Instructional Facility. The programming projects for this class are chosen to enhance the lecture material in the course.
Goals: Students will: (1) learn the basic principles and problems of computer graphics; (2) learn mathematical background to understand and implement these basic principles; and (3) learn the underpinnings of the implementation of computer graphics modeling and rendering systems.
Textbook:
Angel, Interactive Computer Graphics A Top Down Approach With Open GL, Addison Wesley, 2005
Computer Usage:
Students implement their term projects with the C and/or C++ programming language, using the computer systems available in the Computer Science Instructional Facility.
Programming Projects:
The programming projects for this class are chosen to enhance the lecture material in the course.
Engineering Design Statement:
The individual student taking this class will design and document a complete computer graphics modeling and rendering system that contains (1) a complete transformation/clipping package, (2) an elementary modeling package which will enable construction of complex scenes, and (3) a visible surface determination package. The design of the system is embodied in the “milestone” papers that are required in advance of the project deadlines. The students must design and implement the components of the system. Examinations also include questions based on design components of the course in addition to formal concepts.
ABET Category Content:
Engineering Science: 2 units
Engineering Design: 2 units
Illustrative reading
GE3
Science & Engineering
Visual Literacy
Justification for Visual Literacy: This course teaches students to understand and interpret patterns of visual material. Its assignments also give students techniques for recording and conveying visual evidence. Students are tested throughout on their ability to interpret visual data accurately and observantly
Overlap: None
Instructors: N. Amenta, B. Haman, K. Joy, and N. Max
History: Reviewed by N. Amenta (2012.10.28): revised catalog description and course contents. Prior course description from September 2008 (K. Joy, B. Hamann, and N. Amenta).
Outcomes
1 
X 
an ability to apply knowledge of mathematics, science, computing, and engineering 
2 

an ability to design and conduct experiments, as well as to analyze and interpret data 
3 
X 
an ability to design, implement, and evaluate a system, process, component, or program to meet desired needs, within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability 
4 

an ability to function on multidisciplinary teams 
5 
X 
an ability to identify, formulate, and solve computer science and engineering problems and define the computing requirements appropriate to their solutions 
6 

an understanding of professional, ethical, legal, security and social issues and responsibilities 
7 

an ability to communicate effectively with a range of audiences 
8 

the broad education necessary to understand the impact of computer science and engineering solutions in a global and societal context 
9 
X 
a recognition of the need for, and an ability to engage in lifelong learning 
10 
X 
knowledge of contemporary issues 
11 

an ability to use current techniques, skills, and tools necessary for computing and engineering practice 
12 

an ability to apply mathematical foundations, algorithmic principles, and computer science and engineering theory in the modeling and design of computerbased systems in a way that demonstrates comprehension of the tradeoffs involved in design choices 
13 
X 
an ability to apply design and development principles in the construction of software systems or computer systems of varying complexity 