Chat Beta

The Section Tally dataset provides a comprehensive overview of academic course sections, focusing on scheduling, location, instructor assignments, and enrollment management. It is designed to help academic administrators, department heads, and schedulers monitor and analyze course offerings, room utilization, and course enrollment patterns.

Key Columns & Their Descriptions

• Term: The academic term or semester (e.g., "fall 2025").
• Course: Full course name, including subject, code, and title.
• Seats Available: Number of seats still available for enrollment in the section.
• Course Attribute: Special attributes of the course (e.g., honors, clinical).
• All Meeting Times: Combined meeting times for the section.
• Instructor(s): Names of all instructors assigned to the section.
• Part of Term: Specific part of the term with start and end dates.
• Session: Type of session (e.g., day, hybrid, hyflex).
• CRN: Course Reference Number, a unique identifier for the section.
• Section: Section number of the course.
• Enrolled: Number of students currently enrolled.
• Hours: Credit or contact hours for the section.
• Campus: Campus location where the section is offered.
• Room: Room assigned for the section.
• Wait List Available: Number of waitlist spots still available.
• Instructor Name: Name of the primary instructor.
• Reserved Left: Number of reserved seats still available.
• Begin Time: Start time for the section meeting.
• Term Code: Code representing the academic term.
• CRN Term: Combined term description and CRN.
• Term End Date: End date of the academic term.
• All Restrictions: All restrictions applied to the section.
• Restriction Type: Type of restriction (e.g., enrollment, campus).
• Part of Term Start Date Text: Start date of the part of term (text format).
• Restriction Category: Category of restriction (e.g., campus, attribute).
• Restrictions: Specific restriction details (e.g., Freshmen Only)
• Section Prerequisites: Prerequisites required for the section.
• Wait listed: Number of students currently on the waitlist.
• Part Of Term End Date: End date for the part of term.
• Cross List Indicator: Indicates if the section is cross-listed.
• End Time: End time for the section meeting.
• College: College or school offering the section.
• Maximum Allowed Enrollment: Maximum number of students allowed to enroll.
• Part Of Term Start Date: Start date for the part of term.
• Cancelled Ind: Indicates if the section is cancelled.
• Maximum Reserved: Maximum number of reserved seats.
• Term Status: Status of the term (current, past, or future).
• Wait list Capacity: Total capacity of the waitlist.
• Course Level: Level of the course (e.g., undergraduate, graduate).
• Term Start Date: Start date of the academic term.
• Department: Department offering the section.
• Room Capacity: Capacity of the assigned room.
• Days: Days of the week the section meets.
• Building: Building where the section is held.

Tips On using the AI

• Use clear, natural language to ask questions about courses, instructors, days, times, or campus.
• Include specific details such as course subject, instructor name, day, or campus to narrow results.
• Always mention or select the academic term; all results are tied to the selected term.
• Use either the first or last name when referring to instructors; partial matches will be returned if needed.
• You can correct or refine your question in follow-up messages without starting over.
• The chatbot maintains context across follow-up questions unless you reset or change the topic.
• To start fresh, choose a new term or press “reset” to clear filters and prior conversation.
• You may ask the chatbot what data columns are available, or for descriptions of specific data fields.
• Avoid vague or overly broad questions; the chatbot performs best when queries are specific and well-formed.
• If you do not get the desired results, rephrase your question or follow up by adding missing details — the chatbot will update the response accordingly.

Key Use Cases

1. Enrollment & Capacity Management
Track how many students are enrolled, how many seats are available, and waitlist activity for each section.

• Which sections are full or over capacity?
• How many seats are available in each department for the upcoming term?
• What is the waitlist status for popular courses?

2. Scheduling & Room Utilization
Analyze when and where classes are held, and how effectively rooms and buildings are being used.

• Which rooms are most heavily scheduled?
• What are the peak times for class meetings?
• How many online versus in-person sections are offered?

3. Instructor Assignment & Workload
Review which instructors are teaching which sections and their overall teaching load.

• Which instructors have the highest teaching loads?
• Are there any sections without an assigned instructor?
• What courses is a specific instructor teaching this term?

4. Course Attribute & Academic Planning
Examine course attributes (e.g., honors, clinical) and levels (undergraduate, graduate) for curriculum planning.

• How many honors or clinical courses are offered this term?
• What is the breakdown of undergraduate vs. graduate sections?
• Which colleges offer the most specialized courses?