University outcomes, program outcomes
Concordia University Wisconsin states six university learning outcomes for every graduate. The MSAI proposal renders each as two program learning outcomes — twelve in all.
Christian Faith
“Our graduates are grounded in the Christian faith while also recognizing other major worldviews and how they differ from a Christian understanding of the world.” — cuw.edu
- PLO 1.1 Ethical and Legal Integrity in AI Evaluate and implement AI systems with ethical and legal integrity, addressing bias, fairness, transparency, privacy, accountability, and issues related to economic access and potential harm. Addressed by 18 of 18 courses · 24 course learning outcomes · filter courses by this outcome
- PLO 1.2 Vocation and Christian Worldview Articulate a vocational understanding of artifical intellgence as a means of serving others, guided by a Christian worldview that informs responsible innovation, professional humility, and care for the common good Addressed by 6 of 18 courses · 7 course learning outcomes · filter courses by this outcome
Courses addressing ULO1 (18)
Service and Global Citizenship
“Our graduates are globally-minded citizens.” — cuw.edu
- PLO 2.1 Data Acquisition for Real Problems Conduct data aquisition, including collecting, cleaning, storing, and analyzing data from multiple sources using APIs, databases, and machine learning algorithms to solve real-world problems. Addressed by 12 of 18 courses · 16 course learning outcomes · filter courses by this outcome
- PLO 2.2 Domain-Specific AI Agents Design and integrate domain-specific AI agents, enabling secure and flexible task execution with real-time knowledge integration. Addressed by 6 of 18 courses · 9 course learning outcomes · filter courses by this outcome
Courses addressing ULO2 (12)
Integrated Disciplinary Knowledge
“Our graduates integrate insights from a wide range of disciplines.” — cuw.edu
- PLO 3.1 AI Theory and Mathematics Apply foundational AI theory and mathematics, including neural networks, probabilistic models, evolutionary computation, language theory, and search algorithms. Addressed by 7 of 18 courses · 12 course learning outcomes · filter courses by this outcome
- PLO 3.2 Ethical and Legal Integrity in AI Evaluate and implement AI systems with ethical and legal integrity, addressing bias, fairness, transparency, privacy, accountability, and issues related to economic access and potential harm. Addressed by 18 of 18 courses · 24 course learning outcomes · filter courses by this outcome
Courses addressing ULO3 (18)
Critical Thinking / Creative Problem Solving
“Our graduates think rationally, critically, and creatively.” — cuw.edu
- PLO 4.1 Learning-Based Systems and Agents Develop AI systems and intelligent agents using supervised, unsupervised, and reinforcement learning. Addressed by 5 of 18 courses · 6 course learning outcomes · filter courses by this outcome
- PLO 4.2 Prompt Engineering for LLMs Engineer effective prompts to guide large language models (LLMs) for better alignment, formatting, and adaptability in practical applications. Addressed by 7 of 18 courses · 8 course learning outcomes · filter courses by this outcome
Courses addressing ULO4 (8)
Communicative Fluency
“Our graduates communicate effectively.” — cuw.edu
- PLO 5.1 Communicating AI to Any Audience Communicate AI concepts, results, and ethical considerations effectively to both technical and non-technical audiences with clarity and responsibility. Addressed by 17 of 18 courses · 20 course learning outcomes · filter courses by this outcome
- PLO 5.2 Defining and Evaluating AI Define and evaluate Artificial Intelligence, distinguishing between semantic, historical, and popular definitions. Addressed by 5 of 18 courses · 5 course learning outcomes · filter courses by this outcome
Courses addressing ULO5 (17)
Analytical Fluency
“Our graduates work with data effectively.” — cuw.edu
- PLO 6.1 LLMs in Industrial Settings Utilize LLMs in industrial settings through APIs, embeddings, and structured deployment in embedded systems and enterprise environments. Addressed by 12 of 18 courses · 18 course learning outcomes · filter courses by this outcome
- PLO 6.2 Model Evaluation and Refinement Assess the performance and limitations of AI models using appropriate evaluation metrics, and iteratively refine models based on diagnostic results. Addressed by 15 of 18 courses · 18 course learning outcomes · filter courses by this outcome
Courses addressing ULO6 (16)
How often each program outcome is reached
Counted across the proposed course learning outcomes of all courses.
Table view
| PLO | University outcome | Courses | CLOs |
|---|---|---|---|
| PLO 1.1 Ethical and Legal Integrity in AI | ULO1 Christian Faith | 18 | 24 |
| PLO 1.2 Vocation and Christian Worldview | ULO1 Christian Faith | 6 | 7 |
| PLO 2.1 Data Acquisition for Real Problems | ULO2 Service and Global Citizenship | 12 | 16 |
| PLO 2.2 Domain-Specific AI Agents | ULO2 Service and Global Citizenship | 6 | 9 |
| PLO 3.1 AI Theory and Mathematics | ULO3 Integrated Disciplinary Knowledge | 7 | 12 |
| PLO 3.2 Ethical and Legal Integrity in AI | ULO3 Integrated Disciplinary Knowledge | 18 | 24 |
| PLO 4.1 Learning-Based Systems and Agents | ULO4 Critical Thinking / Creative Problem Solving | 5 | 6 |
| PLO 4.2 Prompt Engineering for LLMs | ULO4 Critical Thinking / Creative Problem Solving | 7 | 8 |
| PLO 5.1 Communicating AI to Any Audience | ULO5 Communicative Fluency | 17 | 20 |
| PLO 5.2 Defining and Evaluating AI | ULO5 Communicative Fluency | 5 | 5 |
| PLO 6.1 LLMs in Industrial Settings | ULO6 Analytical Fluency | 12 | 18 |
| PLO 6.2 Model Evaluation and Refinement | ULO6 Analytical Fluency | 15 | 18 |