Design experiments to test and prove hypotheses in the context of computational problems.
Incorporates best practices with decision making, in alignment with goals
Analyze experiment or project development results in the context of computational problems.
Articulates aspects of respectful collaboration with all individuals (i.e., listening, open minded, sharing ideas, follow-through, conflict resolution, etc.)
Communicate research findings or project outcomes to a variety of audiences, including the academic community, the scientific community, and industry professionals.
Demonstrates transformative actions to inspire and motivate growth in others (i.e., developing trust, servant leader, impact on others, being intentional, clear goals, authentic, credible/trustworthy, etc.)
Artificial Intelligence
Global Contributor
Automate repetitive learning and discovery through data.
Demonstrates knowledge of societal aspects of the world (i.e. languages, cultures, religions, art, history, political/social issues, etc.)
Develop applications that adapt through progressive learning algorithms.
Demonstrates an awareness and understanding toward diverse backgrounds, ideas and perspectives
Analyze deep data to discover underlying trends.
Expresses the value and dignity of others through Christian virtues (i.e., compassion, respect, belonging, equity, acceptance, empathy, grace, objectivity, etc.).
Professionalism, Ethics, and Sustainability
Determine whether or not a new data-driven business process is using customer data in an ethically sustainable way.
Demonstrate ethical judgment to comply with legislation, regulations, and standards by articulating the knowledge of contemporary issues.
Examine the application of the Christian worldview within the context of discipline and vocation.
