Student Outcomes

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

Student Outcomes

Student 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. An ability to use knowledge, skills, techniques and modern tools including laboratory and test equipment in the computer engineering technology discipline;
  2. An ability to use technical problem solving skills, including the ability to identify problems, conduct experiments, gather data, analyze data and produce results appropriate to computer engineering technology;

  3. An ability to apply creativity in the design of systems, components, or processes for broadly-defined computer engineering technology problems appropriate to program educational objectives;

  4. Effective discipline-related project management and teamwork skills;

  5. The ability to use technical literature, to produce written documents, to deliver oral presentations, to develop, prepare and interpret visual information; and to communicate these with various audiences at a level of effectiveness expected in industry;

  6. Recognition of the need for, and the ability to engage in self-directed continuing professional development;

  7. An understanding of and a commitment to address professional and ethical responsibilities including a respect for diversity;

  8. Knowledge of the impact of engineering technology solutions in a societal and global context;

  9. The ability to use computers, computer networks, operating systems, and application software that pertain to computer engineering technology;

  10. Knowledge of the application of physics and/or chemistry to computer systems in a rigorous mathematical environment at or above the level of algebra and trigonometry;

  11. The ability to analyze, design, and implement processor-based systems through a blend of theoretical and practical methods; and

  12. The ability to utilize statistics/probability or discrete mathematics in support of computer systems and networks.


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