Site Search

A photo of a Cal U student using a computer in class.A photo of a Cal U student using a computer in class.

Program Outcomes

Program outcomes are statements that describe what units of knowledge or skills students are expected to acquire from the program to prepare them to achieve the program educational objectives. The program outcomes are demonstrated by the student and are measured by the program at the time of graduation.

By the time of graduation, computer engineering technology students will demonstrate the following:

  1. The knowledge, skills, techniques and applications of modern tools in the computer engineering technology discipline;
  2. The ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering and technology;
  3. Technical problem-solving skills, including the ability to identify problems, use appropriate laboratory and test equipment, conduct experiments, gather data, analyze data, and produce results;
  4. The ability to apply creativity in the design of systems, components or processes appropriate to the computer engineering technology program objectives;
  5. Effective discipline-related project management and teamwork skills;
  6. The ability to apply and produce written documents; to deliver oral presentations; to develop, prepare and interpret visual information; and to communicate these with a specific audience at a level of effectiveness expected in industry;
  7. Recognition of the need for and the ability to engage in lifelong learning;
  8. Knowledge of social, professional and ethical responsibilities;
  9. Respect for diversity and a knowledge of contemporary professional, societal and global issues;
  10. The ability to identify, analyze, design, solve and implement analog, digital and processor-based systems through a blend of theoretical and practical methods;
  11. The ability to use computers, computer networks, operating systems and application software that pertain to computer engineering technology;
  12. The ability to utilize statistics/probability or discrete mathematics in support of computer systems and networks; and
  13. The application of physics and/or chemistry to computer systems in a rigorous mathematical environment at or above the level of algebra and trigonometry.