Advanced Data Analytics and AI
This course (INFS 348) is offered at the Quinlan School of Business, Loyola University Chicago.
Table of Contents
๐ Course Description
This INFS348 course examines how artificial intelligence and machine learning drive modern business analytics. Students learn foundational and advanced conceptsโfrom data transformation and model evaluation to deep learning and the use of large language modelsโwhile addressing ethical and strategic considerations. Through real-world use cases and hands-on labs, the course emphasizes the integration of AI into decision-making and strategic objectives. Learners develop both technical and managerial perspectives on AI and analytics.
๐ Course Schedule
Please follow the official syllabus and course schedule for each week. All the Python code (IPython Notebook file) used in this class is available in this GitHub Repository.
๐ Course AI Assistant
โจ This is the Course Assistant AI for INFS247 & INFS348 (SP 2026) taught by Dr. Luo, ask any coursework questions.
๐ข Specify course code for your question: 348.
๐ก Prompt Examples
- ๐ When are the office hours, 348
- โ When is the midterm, 348…
Tips:
- Only ask one question at a time
- Describe your question as specific as possible (i.e., avoid ambiguity)
๐ฌ Discussions
๐ Group Projects
This section shows the chatbot prototype for each group. Each group can pick a group logo emoji from here.
An Example Deliverable - โฝ Sporty.ai Chatbot
Tips
- Include as many details as possible in your questions
- Specific dates, teams, players, or sports
- Always make sure to examine your results(AI isnโt perfect)
Example prompts
- What games are on this weekend
- What are the odds for the 2025 NCAA Basketball Tournament
- What’s the score from last night’s games
- Why is the quarterback an important position in football
How to use
- Open it up, and ask a question
- Ask to elaborate
- Ask for an explanation
Group 1
- Leader: ____
- Title: ____
- Progress-check prensentation click here.
- Final presentation click here.
Group 2
- Leader: ____
- Title: ____
- Progress-check prensentation click here.
- Final presentation click here.
Group 3
- Leader: ____
- Title: ____
- Progress-check prensentation click here.
- Final presentation click here.
Group 4
- Leader: ____
- Title: ____
- Progress-check prensentation click here.
- Final presentation click here.
๐ Evaluation table
| Dimension | Evaluation Question | Binary Feedback (1=achieved, 0=not achieved) |
|---|---|---|
| Accuracy | Does the chatbot provide correct responses? | |
| Relevance | Is the chatbot’s response relevant to the user’s query and context? | |
| Completeness | Does the chatbot response include sufficient detail to cover user intent? | |
| Usefulness | Does the chatbot adequately meet or solve the user’s needs or problems? | |
| Ease of Use | Do the provided instructions and prompt examples clearly guide chatbot use? | |
| Total | The score ranges from 0 to 5 |
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