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IS 555
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Evaluate
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Instructor created Learning Outcomes
Course Purpose
Learning Outcomes
Design data modeling workflows
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Build and evaluate models
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Deliver production-ready solutions
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Communicate insights and ethics
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Grow as data professionals
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Link Course Outcomes to Program Outcomes
Course Outcome
Program Outcomes
Methods
Students will be able to assemble, store, manipulate, visualize, and refresh a real-world dataset that informs a meaningful problem space
1. Gain a Knowledge of Information Systems and Business
2. Create and Manage Organizational Technical Functions
3. Make Informed Business and Technical Decisions
4. Develop Lifelong Learning Skills
Evaluate
Students will be able to defend model choice in terms of algorithm, validity, performance, and practical relevance to both data-savvy and non-technical stakeholders
1. Gain a Knowledge of Information Systems and Business
2. Create and Manage Organizational Technical Functions
3. Make Informed Business and Technical Decisions
4. Develop Lifelong Learning Skills
Collaborate
Students will be able to collaborate in a team setting to effectively create, evaluate, maintain, and update an end-to-end machine learning model pipeline that produces value in the problem space
1. Gain a Knowledge of Information Systems and Business
2. Create and Manage Organizational Technical Functions
3. Make Informed Business and Technical Decisions
4. Develop Lifelong Learning Skills
Ethics
Students will be able to identify (and be conversational about) sources of bias, performance issues, and ethical and regulatory considerations, and explain how these will affect stakeholders and others.
1. Gain a Knowledge of Information Systems and Business
2. Create and Manage Organizational Technical Functions
3. Make Informed Business and Technical Decisions
4. Develop Lifelong Learning Skills