Computing and Data Analytics Learning Outcomes

Computing   |   Data Analytics

Computing and Computer Science

1. Reformed Perspective:
   The student will articulate a Reformed Christian perspective of computing.
2. Creativity:
   The student will innovatively employ computing concepts and technologies in ways that enhance cultural activity.
3. Discernment/Analysis/Evaluation:
   a. Computer Science: The student will evaluate the effectiveness and utility of computer technologies using established theories and methodologies of computer science and mathematical algorithms.
   b. Computing: The student will evaluate computer technologies using established theories and methodologies of the computing profession and determine the appropriateness of applying these technologies to varying societal domains.
4. Core Foundational Knowledge:
   a. Computer Science: The student will demonstrate a mastery of programming, familiarity with key fundamental theories and methodologies of computer science, and familiarity with scholarly discourse in the field of computer science.
   b. Computing:  The student will demonstrate competency in programming and in key fundamental principles and practices of professional computing and will identify solutions to technological problems that arise using emerging technologies.
5. Communication/Connections:
   The student will communicate effectively the ways that other liberal arts contexts can be enriched by and be enriching to the understanding and practice of computing.
6. Vocation/Service/Application:
   The student will apply knowledge and skills of computing in a setting of service to God’s kingdom.

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Data Analytics

1. Develop a holistic skillset with which they can create a project that delivers data-driven insights on a substantive problem within a disciplinary or business context encompassing all stages of the data life-cycle.
2. Be reflective data practitioners capable of debating the moral, ethical, legal, and practical considerations of different approaches to collecting, analyzing, and using data.
3. Support data-informed decision-making by justifying the inclusion or exclusion of a data-centric approach based on a variety of considerations as part of a holistic solution to a domain or business problem.
4. Communicate effectively as data storytellers by creating reports or presentations about the process and results of data analysis in context using such media as code, visualizations, and text.
5. Evaluate how data or data-related practices can support or resist God’s vision for all people, societies, and creation.

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