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BS-CSE Objectives and Outcomes


Objectives

  • Graduates of the program will be employed in the computing profession, and will be engaged in learning, understanding, and applying new ideas and technologies as the field evolves.

  • Graduates with an interest in, and aptitude for, advanced studies in computing will have completed, or be actively pursuing, graduate studies in computing.

  • Graduates will be informed and involved members of their communities, and responsible engineering and computing professionals.

    Outcomes

    Students in the BS-CSE program will attain:
    1. an ability to apply knowledge of computing, mathematics including discrete mathematics as well as probability and statistics, science, and engineering;
    2. an ability to design and conduct experiments, as well as to analyze and interpret data;
    3. an ability to design, implement, and evaluate a software or a software/hardware system, component, or process to meet desired needs within realistic constraints such as memory, runtime efficiency, as well as appropriate constraints related to economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability considerations;
    4. an ability to function on multi-disciplinary teams;
    5. an ability to identify, formulate, and solve engineering problems;
    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. an ability to analyze the local and global impact of computing on individuals, organizations, and society;
    9. a recognition of the need for, and an ability to engage in life-long learning and continuing professional development;
    10. a knowledge of contemporary issues;
    11. an ability to use the techniques, skills, and modern engineering tools necessary for practice as a CSE professional;
    12. an ability to analyze a problem, and identify and define the computing requirements appropriate to its solution;
    13. an ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices;
    14. an ability to apply design and development principles in the construction of software systems of varying complexity.
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