--- I've created a reusable skill called **`/transpose-courses`**. Here's how it works: ### Usage Next time you paste course catalog data into a sheet, just type: > `/transpose-courses` It will automatically: 1. **Read** the raw vertical data from the active sheet's column A 2. **Parse** all courses by detecting the repeating heading pattern 3. **Fix** any Enrolled/Capacity values that Excel converted to dates 4. **Write** a clean 9-column table (Course, Status, Campus, Location & Schedule, Instructors, Instructional Format, Delivery Mode, Enrolled, Capacity) 5. **Format** with styled headers and auto-fitted columns ### Workflow each semester 1. Paste the course catalog data into a new sheet tab 2. Name the tab (e.g., "Fall 2026") 3. Type `/transpose-courses` 4. Done! Note: The skill assumes the same course catalog format you've been using. If the catalog layout changes in the future, let me know and I can update the skill. --- > Transpose paste these three courses and align their information based on the embedded headings. Let me first read the data to understand the structure of the three courses and their headings. Read all course data Read all course data Parameters: ```json { "sheetName": "Sheet1", "range": "A1:B91" } ``` Result ```json { "success": true, "csv": ",\n,Animation & Game Art\n,\n,Summer 2026\n,\n,3 Results\n,Expand All\n,\n,ARTV 1371-001 - Storybrd/Concept Dev\n,\n,Storybrd/Concept Dev | Open | Russell Smith\n,Section Details\n,\n,Wylie SC216 | Tuesday & Thursday | 9:00 AM - 12:30 PM\n,Section Details\n,\n,Wylie SC216 | Tuesday & Thursday | 9:00 AM - 12:30 PM\n,\n,Campus\n,\n,\n,Wylie Campus\n,\n,Instructors\n,\n,Russell Smith\n,\n,Instructional Format\n,\n,Combination\n,\n,Delivery Mode\n,\n,Hybrid\n,\n,Enrolled/Capacity\n,46101\n,\n,FLMC 1301-001 - History of Animation Technique\n,\n,History of Animation Technique | Open | Russell Smith\n,Section Details\n,(empty)\n,Section Details\n,(empty)\n,Campus\n,(empty)\n,Instructors\n,\n,Russell Smith\n,\n,Instructional Format\n,\n,Combination\n,\n,Delivery Mode\n,\n,Web\n,\n,Enrolled/Capacity\n,46106\n,\n,FLMC 1331-001 - Video Graph & Visual Effect I\n,\n,Video Graph & Visual Effect I | Open | J Marshall Pittman\n,Section Details\n,\n,\"Frisco L205 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\n,Section Details\n,\n,\"Frisco L205 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\n,\n,Campus\n,\n,\n,Frisco Campus\n,\n,Instructors\n,\n,J Marshall Pittman\n,\n,Instructional Format\n,\n,Combination\n,\n,Delivery Mode\n,\n,Hybrid\n,\n,Enrolled/Capacity\n,0/18", "rowCount": 90, "columnCount": 2, "hasMore": false, "sheetName": "Sheet1" } ``` Now let me look at the raw cell values more carefully to understand the structure. Read data Get Cell Ranges Parameters: ```json { "sheetName": "Sheet1", "ranges": [ "B1:B91" ], "includeStyles": false } ``` Result ```json { "success": true, "hasMore": false, "worksheet": { "name": "Sheet1", "dimension": "A1:B91", "cells": { "B2": "Animation & Game Art", "B4": "Summer 2026", "B6": "3 Results", "B7": "Expand All", "B9": "ARTV 1371-001 - Storybrd/Concept Dev", "B11": "Storybrd/Concept Dev | Open | Russell Smith", "B12": "Section Details", "B14": "Wylie SC216 | Tuesday & Thursday | 9:00 AM - 12:30 PM", "B15": "Section Details", "B17": "Wylie SC216 | Tuesday & Thursday | 9:00 AM - 12:30 PM", "B19": "Campus", "B22": "Wylie Campus", "B24": "Instructors", "B26": "Russell Smith", "B28": "Instructional Format", "B30": "Combination", "B32": "Delivery Mode", "B34": "Hybrid", "B36": "Enrolled/Capacity", "B37": 46101, "B39": "FLMC 1301-001 - History of Animation Technique", "B41": "History of Animation Technique | Open | Russell Smith", "B42": "Section Details", "B43": "(empty)", "B44": "Section Details", "B45": "(empty)", "B46": "Campus", "B47": "(empty)", "B48": "Instructors", "B50": "Russell Smith", "B52": "Instructional Format", "B54": "Combination", "B56": "Delivery Mode", "B58": "Web", "B60": "Enrolled/Capacity", "B61": 46106, "B63": "FLMC 1331-001 - Video Graph & Visual Effect I", "B65": "Video Graph & Visual Effect I | Open | J Marshall Pittman", "B66": "Section Details", "B68": "Frisco L205 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM", "B69": "Section Details", "B71": "Frisco L205 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM", "B73": "Campus", "B76": "Frisco Campus", "B78": "Instructors", "B80": "J Marshall Pittman", "B82": "Instructional Format", "B84": "Combination", "B86": "Delivery Mode", "B88": "Hybrid", "B90": "Enrolled/Capacity", "B91": "0/18" } } } ``` Now I have a clear picture. There are 3 courses with repeated headings (Campus, Instructors, Instructional Format, Delivery Mode, Enrolled/Capacity, and schedule info). I'll transpose this into a table where each course is a row and the headings become columns. Let me also parse the schedule/location details. Write transposed course table Write transposed course table Parameters: ```json { "sheetName": "Sheet1", "range": "D1:K4", "cells": [ [ { "value": "Course", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Status", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Campus", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Location & Schedule", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Instructors", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Instructional Format", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Delivery Mode", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Enrolled/Capacity", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } } ], [ { "value": "ARTV 1371-001 - Storybrd/Concept Dev" }, { "value": "Open" }, { "value": "Wylie Campus" }, { "value": "Wylie SC216 | Tue & Thu | 9:00 AM - 12:30 PM" }, { "value": "Russell Smith" }, { "value": "Combination" }, { "value": "Hybrid" }, { "value": 46101, "cellStyles": { "numberFormat": "@" } } ], [ { "value": "FLMC 1301-001 - History of Animation Technique" }, { "value": "Open" }, { "value": "(empty)" }, { "value": "(empty)" }, { "value": "Russell Smith" }, { "value": "Combination" }, { "value": "Web" }, { "value": 46106, "cellStyles": { "numberFormat": "@" } } ], [ { "value": "FLMC 1331-001 - Video Graph & Visual Effect I" }, { "value": "Open" }, { "value": "Frisco Campus" }, { "value": "Frisco L205 | Mon-Thu | 9:00 AM - 1:50 PM" }, { "value": "J Marshall Pittman" }, { "value": "Combination" }, { "value": "Hybrid" }, { "value": "0/18" } ] ] } ``` Show less Result ```json { "success": true } ``` Now let me auto-fit the columns so everything is readable: Made 8 edits Resize Course column Parameters: ```json { "sheetName": "Sheet1", "range": "D:D", "width": { "type": "points", "value": 280 } } ``` Result ```json { "success": true } ``` Resize Status column Parameters: ```json { "sheetName": "Sheet1", "range": "E:E", "width": { "type": "points", "value": 55 } } ``` Result ```json { "success": true } ``` Resize Campus column Parameters: ```json { "sheetName": "Sheet1", "range": "F:F", "width": { "type": "points", "value": 100 } } ``` Result ```json { "success": true } ``` Resize Location & Schedule column Parameters: ```json { "sheetName": "Sheet1", "range": "G:G", "width": { "type": "points", "value": 250 } } ``` Result ```json { "success": true } ``` Resize Instructors column Parameters: ```json { "sheetName": "Sheet1", "range": "H:H", "width": { "type": "points", "value": 120 } } ``` Result ```json { "success": true } ``` Resize Instructional Format column Parameters: ```json { "sheetName": "Sheet1", "range": "I:I", "width": { "type": "points", "value": 120 } } ``` Result ```json { "success": true } ``` Resize Delivery Mode column Parameters: ```json { "sheetName": "Sheet1", "range": "J:J", "width": { "type": "points", "value": 100 } } ``` Result ```json { "success": true } ``` Resize Enrolled/Capacity column Parameters: ```json { "sheetName": "Sheet1", "range": "K:K", "width": { "type": "points", "value": 110 } } ``` Result ```json { "success": true } ``` Let me verify the final result: Verify transposed table Verify transposed table Parameters: ```json { "sheetName": "Sheet1", "range": "D1:K4" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Sheet1!D1:K4" } ``` The transposed table is in Sheet1D1:K4. Here's what I did: - **Extracted the repeated headings** (Campus, Instructors, Instructional Format, Delivery Mode, Enrolled/Capacity) from the vertical layout and turned them into **column headers** - **Each course is now one row**, with its details aligned across the columns: |Course|Status|Campus|Location & Schedule|Instructor|Format|Delivery|Enrolled/Capacity| |---|---|---|---|---|---|---|---| |ARTV 1371-001|Open|Wylie Campus|Wylie SC216 · Tue & Thu · 9<br><br>AM–12<br><br>PM|Russell Smith|Combination|Hybrid|46101| |FLMC 1301-001|Open|(empty)|(empty)|Russell Smith|Combination|Web|46106| |FLMC 1331-001|Open|Frisco Campus|Frisco L205 · Mon–Thu · 9<br><br>AM–1<br><br>PM|J Marshall Pittman|Combination|Hybrid|0/18| The original data in column B is still intact if you need it. Would you like me to remove it, or make any adjustments to the new table? > The Enrolled/Capacity data is formatted as a date ("3/20"), but should actually be a ratio of Enrolled to Capacity, like 3:20. Please make these two separate columns Let me check the current values in the Enrolled/Capacity column to understand what's there. Read data Get Cell Ranges Parameters: ```json { "sheetName": "Sheet1", "ranges": [ "K1:K4" ], "includeStyles": true } ``` Result ```json { "success": true, "hasMore": false, "worksheet": { "name": "Sheet1", "dimension": "A1:K91", "cells": { "K1": "Enrolled/Capacity", "K2": 46101, "K3": 46106, "K4": "0/18" }, "styles": { "K1": { "b": true, "sz": 11, "color": "#FFFFFF", "family": "Aptos Narrow", "fgColor": "#4472C4", "alignment": "center" }, "K2:K3": { "sz": 11, "color": "#000000", "family": "Aptos Narrow", "fgColor": "#FFFFFF", "numFmt": "@" }, "K4": { "sz": 11, "color": "#000000", "family": "Aptos Narrow", "fgColor": "#FFFFFF" } }, "borders": {} } } ``` I see — K2 and K3 have raw numbers (46101 and 46106) that were likely date serial numbers misinterpreted. Let me also check the original source data to get the correct enrolled/capacity values. Read data Get Cell Ranges Parameters: ```json { "sheetName": "Sheet1", "ranges": [ "B36:B37", "B60:B61", "B90:B91" ], "includeStyles": true } ``` Result ```json { "success": true, "hasMore": false, "worksheet": { "name": "Sheet1", "dimension": "A1:K91", "cells": { "B36": "Enrolled/Capacity", "B37": 46101, "B60": "Enrolled/Capacity", "B61": 46106, "B90": "Enrolled/Capacity", "B91": "0/18" }, "styles": { "B36,B60,B90:B91": { "sz": 11, "color": "#000000", "family": "Aptos Narrow", "fgColor": "#FFFFFF" }, "B37,B61": { "sz": 11, "color": "#000000", "family": "Aptos Narrow", "fgColor": "#FFFFFF", "numFmt": "d-mmm" } }, "borders": {} } } ``` The source data confirms the issue — B37 and B61 have number format `d-mmm`, meaning they were entered as fractions (like `3/20`) and Excel interpreted them as dates. The serial numbers 46101 and 46106 correspond to dates. Let me decode them to recover the original ratios. So the original values were **3/20** (3 enrolled, 20 capacity) and **3/25** (3 enrolled, 25 capacity). Now I'll split the Enrolled/Capacity column into two separate columns and fix the data. Made 2 edits, verify final table Split into Enrolled & Capacity columns Parameters: ```json { "sheetName": "Sheet1", "range": "K1:L4", "allow_overwrite": true, "cells": [ [ { "value": "Enrolled", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } }, { "value": "Capacity", "cellStyles": { "fontWeight": "bold", "backgroundColor": "#4472C4", "fontColor": "#FFFFFF", "horizontalAlignment": "center" } } ], [ { "value": 3 }, { "value": 20 } ], [ { "value": 3 }, { "value": 25 } ], [ { "value": 0 }, { "value": 18 } ] ] } ``` Show more Result ```json { "success": true } ``` Resize Enrolled & Capacity columns Parameters: ```json { "sheetName": "Sheet1", "range": "K:L", "width": { "type": "points", "value": 65 } } ``` Result ```json { "success": true } ``` Verify final table Parameters: ```json { "sheetName": "Sheet1", "range": "D1:L4" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Sheet1!D1:L4" } ``` Done! Here's what I fixed: - **Decoded the date serials** back to the original ratios — Excel had converted `3/20` and `3/25` into date values (March 20 and March 25) - **Split into two columns**: Sheet1K1:K4 (**Enrolled**) and Sheet1L1:L4 (**Capacity**) |Course|Enrolled|Capacity| |---|---|---| |ARTV 1371-001|3|20| |FLMC 1301-001|3|25| |FLMC 1331-001|0|18| > This looks great, you can get rid of the column B data. Clear original column B data Clear original column B data Parameters: ```json { "sheetName": "Sheet1", "range": "B:B", "clearType": "all" } ``` Result ```json { "success": true } ``` Done! Column B has been cleared. Your transposed table in Sheet1D1:L4 is now the single source of the course data. > Here are 47 classes to transpose post, align information based on the embedded headings (some information may be "empty") and format the Enrolled/Capacity data a a ratio in two columns (3:20) instead of as a date ("3/20") > Here are 47 classes to transpose post, align information based on the embedded headings (some information may be "empty") and format the Enrolled/Capacity data a a ratio in two columns (3:20) instead of as a date ("3/20") > Here are 47 classes to transpose post, align information based on the embedded headings (some information may be "empty") and format the Enrolled/Capacity data a a ratio in two columns (3:20) instead of as a date ("3/20") Let me first read the data from all the new sheets to understand the structure and volume. Read 3 ranges Read Fall 2025 data structure Parameters: ```json { "sheetName": "Fall 2025", "range": "A1:A100" } ``` Result ```json { "success": true, "csv": "48 Results\nCollapse All\n\nARTV 1303-001 - Basic Animation\n\nBasic Animation | Open | Esperanza Jacobs\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEsperanza Jacobs\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46254\n\nARTV 1303-002 - Basic Animation\n\nBasic Animation | Open | Russell Smith\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nARTV 1303-003 - Basic Animation\n\nBasic Animation | Open | J Marshall Pittman\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46223\n\nARTV 1341-001 - 3-D Animation I\n\n3-D Animation I | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Tuesday | 6:00 PM - 10:50 PM\nSection Details", "rowCount": 99, "columnCount": 1, "hasMore": false, "sheetName": "Fall 2025" } ``` Read Spring 2025 data structure Parameters: ```json { "sheetName": "Spring 2025", "range": "A1:A100" } ``` Result ```json { "success": true, "csv": "52 Results\nCollapse All\n\nARTV 1303-001 - Basic Animation\n\nBasic Animation | Open | Esperanza Jacobs\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEsperanza Jacobs\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/20\n\nARTV 1303-002 - Basic Animation\n\nBasic Animation | Waitlist | Russell Smith\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n20/20\n\nARTV 1303-004 - Basic Animation\n\nBasic Animation | Open | Russell Smith\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46285\n\nARTV 1341-001 - 3-D Animation I\n\n3-D Animation I | Waitlist | Gail Ellison\nSection Details\n\nFrisco IT102 | Wednesday | 9:00 AM - 2:50 PM\nSection Details", "rowCount": 99, "columnCount": 1, "hasMore": false, "sheetName": "Spring 2025" } ``` Read Summer 2025 data structure Parameters: ```json { "sheetName": "Summer 2025", "range": "A1:A100" } ``` Result ```json { "success": true, "csv": "5 Results\nCollapse All\n\nARTV 1351-001 - Digital Video\n\nDigital Video | Open | Lee Shapiro\nSection Details\n\n\"Frisco IT103 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\nSection Details\n\n\"Frisco IT103 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/18\n\nARTV 1371-001 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Russell Smith\nSection Details\n\nFrisco IT104 | Tuesday & Thursday | 9:00 AM - 2:50 PM | 06/09/2025 - 08/17/2025\n\", +1 more...\"\nSection Details\n\nFrisco IT104 | Tuesday & Thursday | 9:00 AM - 2:50 PM | 06/09/2025 - 08/17/2025\n\nFrisco IT104 | Friday | 9:00 AM - 2:50 PM | 08/01/2025 - 08/01/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/20\n\nFLMC 1301-001 - History of Animation Technique\n\nHistory of Animation Technique | Open | Russell Smith\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n14/25\n\nFLMC 1331-001 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | J Marshall Pittman\nSection Details\n\n\"Frisco IT112 | Monday, Tuesday, Wednesday, Thursday | 6:00 PM - 10:00 PM\"\nSection Details\n\n\"Frisco IT112 | Monday, Tuesday, Wednesday, Thursday | 6:00 PM - 10:00 PM\"\n", "rowCount": 99, "columnCount": 1, "hasMore": false, "sheetName": "Summer 2025" } ``` Good, I can see the pattern. Now let me read all the data from each sheet to process it. These are large sheets so I'll use Python to parse everything efficiently. Read 3 ranges Read Fall 2025 rows 1-500 Parameters: ```json { "sheetName": "Fall 2025", "range": "A1:A1424", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "48 Results\nCollapse All\n\nARTV 1303-001 - Basic Animation\n\nBasic Animation | Open | Esperanza Jacobs\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEsperanza Jacobs\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46254\n\nARTV 1303-002 - Basic Animation\n\nBasic Animation | Open | Russell Smith\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nARTV 1303-003 - Basic Animation\n\nBasic Animation | Open | J Marshall Pittman\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46223\n\nARTV 1341-001 - 3-D Animation I\n\n3-D Animation I | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Tuesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT102 | Tuesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46252\n\nARTV 1341-002 - 3-D Animation I\n\n3-D Animation I | Open | Kevin Taylor\nSection Details\n\nFrisco IT102 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nFrisco IT102 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nKevin Taylor\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/18\n\nARTV 1345-001 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Kevin Taylor\nSection Details\n\nFrisco IT102 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT102 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nKevin Taylor\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nARTV 1345-002 - 3-D Model/Render I\n\n3-D Model/Render I | Waitlist | Steven Engel Craven\nSection Details\n\nFrisco IT102 | Monday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT102 | Monday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nSteven Engel Craven\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/18\n\nARTV 1345-003 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Russell Smith\nSection Details\n\nWylie CC222 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nWylie CC222 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/20\n\nARTV 1351-001 - Digital Video\n\nDigital Video | Open | Ethan Wilder\nSection Details\n\nFrisco IT103 | Wednesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT103 | Wednesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEthan Wilder\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/18\n\nARTV 1351-002 - Digital Video\n\nDigital Video | Open | Danielle Thompson\nSection Details\n\nFrisco IT103 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT103 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nDanielle Thompson\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/18\n\nARTV 1351-005 - Digital Video\n\nDigital Video | Open | Shadiah Jawad\nSection Details\n\nFrisco IT103 | Friday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT103 | Friday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nShadiah Jawad\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/18\n\nARTV 1371-001 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Stephen Steinbach\nSection Details\n\nPlano I116 | Thursday | 6:00 PM - 10:50 PM\nSection Details\n\nPlano I116 | Thursday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nPlano Campus\n\nInstructors\n\nStephen Steinbach\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nARTV 1371-002 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Howard Goldthwaite\nSection Details\n\nFrisco IT104 | Tuesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT104 | Tuesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nHoward Goldthwaite\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nARTV 1371-003 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Joe Eisma\nSection Details\n\nFrisco IT104 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT104 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJoe Eisma\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nARTV 1371-004 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Joe Eisma\nSection Details\n\nFrisco IT104 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nFrisco IT104 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJoe Eisma\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/20\n\nARTV 1371-005 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Christine Smith\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nChristine Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n23/25\n\nARTV 1371-006 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Russell Smith\nSection Details\n\nWylie CC211 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nWylie CC211 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode", "rowCount": 500, "columnCount": 1, "hasMore": true, "sheetName": "Fall 2025" } ``` Read Spring 2025 rows 1-500 Parameters: ```json { "sheetName": "Spring 2025", "range": "A1:A500", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "52 Results\nCollapse All\n\nARTV 1303-001 - Basic Animation\n\nBasic Animation | Open | Esperanza Jacobs\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT104 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEsperanza Jacobs\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/20\n\nARTV 1303-002 - Basic Animation\n\nBasic Animation | Waitlist | Russell Smith\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT104 | Monday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n20/20\n\nARTV 1303-004 - Basic Animation\n\nBasic Animation | Open | Russell Smith\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC222 | Wednesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46285\n\nARTV 1341-001 - 3-D Animation I\n\n3-D Animation I | Waitlist | Gail Ellison\nSection Details\n\nFrisco IT102 | Wednesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Wednesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/18\n\nARTV 1341-002 - 3-D Animation I\n\n3-D Animation I | Open | Esperanza Jacobs\nSection Details\n\nFrisco IT102 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT102 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEsperanza Jacobs\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46221\n\nARTV 1341-003 - 3-D Animation I\n\n3-D Animation I | Open | Christine Smith\nSection Details\n\nWylie CC222 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nWylie CC222 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nChristine Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46254\n\nARTV 1345-001 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Thursday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Thursday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nARTV 1345-002 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Nicole Wingfield Miller\nSection Details\n\nFrisco IT102 | Monday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT102 | Monday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nNicole Wingfield Miller\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46344\n\nARTV 1345-003 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Russell Smith\nSection Details\n\nWylie CC211 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC211 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46315\n\nARTV 1345-004 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Steven Engel Craven\nSection Details\n\nFrisco IT102 | Friday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT102 | Friday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nSteven Engel Craven\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46374\n\nARTV 1345-005 - 3-D Model/Render I\n\n3-D Model/Render I | Open | Micheal Eudy\nSection Details\n\nFrisco IT102 | Saturday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Saturday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nMicheal Eudy\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46160\n\nARTV 1351-001 - Digital Video\n\nDigital Video | Open | Danielle Thompson\nSection Details\n\nFrisco IT103 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT103 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nDanielle Thompson\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nARTV 1351-002 - Digital Video\n\nDigital Video | Open | Shadiah Jawad\nSection Details\n\nFrisco IT103 | Wednesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT103 | Wednesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nShadiah Jawad\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nARTV 1351-003 - Digital Video\n\nDigital Video | Open | Michael Hennesy\nSection Details\n\nFrisco IT103 | Friday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT103 | Friday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nMichael Hennesy\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nARTV 1351-004 - Digital Video\n\nDigital Video | Open | Lee Shapiro\nSection Details\n\nFrisco IT103 | Saturday | 1:30 PM - 6:30 PM\nSection Details\n\nFrisco IT103 | Saturday | 1:30 PM - 6:30 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nARTV 1371-001 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | John Schuh\nSection Details\n\nPlano K122 | Monday | 6:00 PM - 11:00 PM\nSection Details\n\nPlano K122 | Monday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nPlano Campus\n\nInstructors\n\nJohn Schuh\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nARTV 1371-002 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Gordon Smith\nSection Details\n\nFrisco IT104 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT104 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n", "rowCount": 499, "columnCount": 1, "hasMore": false, "sheetName": "Spring 2025" } ``` Read Summer 2025 all data Parameters: ```json { "sheetName": "Summer 2025", "range": "A1:A143", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "5 Results\nCollapse All\n\nARTV 1351-001 - Digital Video\n\nDigital Video | Open | Lee Shapiro\nSection Details\n\n\"Frisco IT103 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\nSection Details\n\n\"Frisco IT103 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM\"\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/18\n\nARTV 1371-001 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Russell Smith\nSection Details\n\nFrisco IT104 | Tuesday & Thursday | 9:00 AM - 2:50 PM | 06/09/2025 - 08/17/2025\n\", +1 more...\"\nSection Details\n\nFrisco IT104 | Tuesday & Thursday | 9:00 AM - 2:50 PM | 06/09/2025 - 08/17/2025\n\nFrisco IT104 | Friday | 9:00 AM - 2:50 PM | 08/01/2025 - 08/01/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/20\n\nFLMC 1301-001 - History of Animation Technique\n\nHistory of Animation Technique | Open | Russell Smith\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n14/25\n\nFLMC 1331-001 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | J Marshall Pittman\nSection Details\n\n\"Frisco IT112 | Monday, Tuesday, Wednesday, Thursday | 6:00 PM - 10:00 PM\"\nSection Details\n\n\"Frisco IT112 | Monday, Tuesday, Wednesday, Thursday | 6:00 PM - 10:00 PM\"\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/19\n\nFLMC 2380-001 - CoEd Cinema & Film/Vid Prod\n\nCoEd Cinema & Film/Vid Prod | Open | Tonya McMillion\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nTonya McMillion\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nBlended\n\nEnrolled/Capacity\n46027", "rowCount": 142, "columnCount": 1, "hasMore": false, "sheetName": "Summer 2025" } ``` Now let me get the remaining data from Fall 2025 and Spring 2025: Read 5 ranges Read Fall 2025 rows 501-1000 Parameters: ```json { "sheetName": "Fall 2025", "range": "A501:A1424", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "Delivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46369\n\nARTV 2320-001 - Team Prog Prod I\n\nTeam Prog Prod I | Open | Arthur Muhammad\nSection Details\n\nFrisco IT103 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT103 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nArthur Muhammad\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/18\n\nARTV 2335-001 - Portfolio Develop/Animation\n\nPortfolio Develop/Animation | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT112 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n19/20\n\nARTV 2335-002 - Portfolio Develop/Animation\n\nPortfolio Develop/Animation | Waitlist | Russell Smith\nSection Details\n\nWylie CC211 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nWylie CC211 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46210\n\nARTV 2345-001 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Kevin Taylor\nSection Details\n\nFrisco IT102 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT102 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nKevin Taylor\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nARTV 2345-002 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Kevin Taylor\nSection Details\n\nFrisco IT102 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT102 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nKevin Taylor\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46252\n\nARTV 2345-003 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Nicholas Simmons\nSection Details\n\nWylie CC222 | Tuesday | 6:00 PM - 10:50 PM\nSection Details\n\nWylie CC222 | Tuesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nNicholas Simmons\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46315\n\nARTV 2351-001 - 3-D Animation II\n\n3-D Animation II | Waitlist | Aaron Werntz\nSection Details\n\nFrisco IT112 | Wednesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT112 | Wednesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Werntz\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n20/20\n\nARTV 2351-002 - 3-D Animation II\n\n3-D Animation II | Open | Aaron Werntz\nSection Details\n\nWylie CC222 | Thursday | 6:00 PM - 10:50 PM\nSection Details\n\nWylie CC222 | Thursday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nAaron Werntz\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n19/20\n\nARTV 2371-001 - Adv Skill Dev/Anim & Games\n\nAdv Skill Dev/Anim & Games | Closed | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46055\n\nFLMC 1301-001 - History of Animation Technique\n\nHistory of Animation Technique | Open | Gordon Smith\nSection Details\n\nFrisco IT104 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT104 | Friday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGordon Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/18\n\nFLMC 1301-002 - History of Animation Technique\n\nHistory of Animation Technique | Open | Brittany Jones\nSection Details\n\nFrisco IT104 | Wednesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT104 | Wednesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nBrittany Jones\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46313\n\nFLMC 1301-003 - History of Animation Technique\n\nHistory of Animation Technique | Open | Russell Smith\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n22/25\n\nFLMC 1301-004 - History of Animation Technique\n\nHistory of Animation Technique | Open | Brittany Jones\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nBrittany Jones\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n20/25\n\nFLMC 1301-005 - History of Animation Technique\n\nHistory of Animation Technique | Open | Gordon Smith\nSection Details\n\nWylie CC211 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nWylie CC211 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nGordon Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nFLMC 1331-001 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Drew Daleo\nSection Details\n\nPlano J119 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nPlano J119 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nPlano Campus\n\nInstructors\n\nDrew Daleo\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/18\n\nFLMC 1331-002 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Ethan Wilder\nSection Details\n\nFrisco IT112 | Tuesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT112 | Tuesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEthan Wilder\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nFLMC 1331-003 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Nicole Wingfield Miller\nSection Details\n\nFrisco IT112 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nFrisco IT112 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nNicole Wingfield Miller\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid", "rowCount": 500, "columnCount": 1, "hasMore": true, "sheetName": "Fall 2025" } ``` Read Spring 2025 rows 501-1000 Parameters: ```json { "sheetName": "Spring 2025", "range": "A501:A1538", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "Gordon Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/20\n\nARTV 1371-003 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Joe Eisma\nSection Details\n\nFrisco IT104 | Wednesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT104 | Wednesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJoe Eisma\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/20\n\nARTV 1371-004 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Lee Shapiro\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n20/25\n\nARTV 1371-005 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Howard Goldthwaite\nSection Details\n\nFrisco IT104 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT104 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nHoward Goldthwaite\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46346\n\nARTV 1371-006 - Storybrd/Concept Dev\n\nStorybrd/Concept Dev | Open | Russell Smith\nSection Details\n\nWylie CC222 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC222 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46370\n\nARTV 2320-001 - Team Prog Prod I\n\nTeam Prog Prod I | Open | Mark Kaufmann\nSection Details\n\nFrisco IT103 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT103 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nMark Kaufmann\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nARTV 2335-001 - Portfolio Develop/Animation\n\nPortfolio Develop/Animation | Waitlist | Russell Smith\nSection Details\n\nWylie CC222 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC222 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nRussell Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46179\n\nARTV 2335-002 - Portfolio Develop/Animation\n\nPortfolio Develop/Animation | Waitlist | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT112 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n21/20\n\nARTV 2345-001 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46313\n\nARTV 2345-002 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Monday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Monday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46344\n\nARTV 2345-003 - 3-D Modeling and Rendering II\n\n3-D Modeling and Rendering II | Open | Kevin Taylor\nSection Details\n\nWylie CC222 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nWylie CC222 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nKevin Taylor\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46223\n\nARTV 2351-001 - 3-D Animation II\n\n3-D Animation II | Open | Aaron Werntz\nSection Details\n\nFrisco IT112 | Wednesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT112 | Wednesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Werntz\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n19/20\n\nARTV 2351-002 - 3-D Animation II\n\n3-D Animation II | Open | Stephen Steinbach\nSection Details\n\nFrisco IT112 | Friday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT112 | Friday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nStephen Steinbach\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/20\n\nARTV 2371-001 - Adv Skill Dev/Anim & Games\n\nAdv Skill Dev/Anim & Games | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46057\n\nFLMC 1301-001 - History of Animation Technique\n\nHistory of Animation Technique | Open | Gordon Smith\nSection Details\n\nFrisco IT104 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT104 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGordon Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/20\n\nFLMC 1301-003 - History of Animation Technique\n\nHistory of Animation Technique | Open | Christine Smith\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nChristine Smith\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n20/25\n\nFLMC 1331-001 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Drew Daleo\nSection Details\n\nPlano K122 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nPlano K122 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nPlano Campus\n\nInstructors\n\nDrew Daleo\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nFLMC 1331-002 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Nicole Wingfield Miller\nSection Details\n\nFrisco IT112 | Wednesday | 9:00 AM - 11:30 AM\nSection Details\n\nFrisco IT112 | Wednesday | 9:00 AM - 11:30 AM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nNicole Wingfield Miller\n\nInstructional Format", "rowCount": 500, "columnCount": 1, "hasMore": true, "sheetName": "Spring 2025" } ``` Read Fall 2025 rows 1001-1424 Parameters: ```json { "sheetName": "Fall 2025", "range": "A1001:A1424", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "Hybrid\n\nEnrolled/Capacity\n17/20\n\nFLMC 1331-004 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Drew Daleo\nSection Details\n\nWylie CC211 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nWylie CC211 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nDrew Daleo\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46376\n\nFLMC 2330-001 - Audio Post Production\n\nAudio Post Production | Open | Aaron Kinnard\nSection Details\n\nFrisco IT103 | Thursday | 6:00 PM - 9:50 PM\nSection Details\n\nFrisco IT103 | Thursday | 6:00 PM - 9:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Kinnard\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/18\n\nFLMC 2330-002 - Audio Post Production\n\nAudio Post Production | Open | Jacob Kluge\nSection Details\n\nFrisco IT103 | Monday | 6:00 PM - 9:50 PM\nSection Details\n\nFrisco IT103 | Monday | 6:00 PM - 9:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJacob Kluge\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nFLMC 2330-003 - Audio Post Production\n\nAudio Post Production | Open | Aaron Kinnard\nSection Details\n\nFrisco IT103 | Tuesday | 6:00 PM - 9:50 PM\nSection Details\n\nFrisco IT103 | Tuesday | 6:00 PM - 9:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Kinnard\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n16/18\n\nFLMC 2331-001 - Video Graph & Visual Effect II\n\nVideo Graph & Visual Effect II | Open | Nicole Wingfield Miller\nSection Details\n\nFrisco IT112 | Wednesday | 2:30 PM - 5:20 PM\nSection Details\n\nFrisco IT112 | Wednesday | 2:30 PM - 5:20 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nNicole Wingfield Miller\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nFLMC 2333-002 - Cinematography\n\nCinematography | Waitlist | Mark Kaufmann\nSection Details\n\nFrisco IT104 | Friday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT104 | Friday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nMark Kaufmann\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/18\n\nFLMC 2334-001 - Directing for Film or Video\n\nDirecting for Film or Video | Open | Lee Shapiro\nSection Details\n\nFrisco IT116 | Monday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT116 | Monday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/24\n\nFLMC 2334-002 - Directing for Film or Video\n\nDirecting for Film or Video | Open | Lee Shapiro\nSection Details\n\nFrisco IT116 | Wednesday | 9:00 AM - 1:50 PM\nSection Details\n\nFrisco IT116 | Wednesday | 9:00 AM - 1:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46259\n\nFLMC 2336-001 - Production Develop - Producing\n\nProduction Develop - Producing | Waitlist | Elizabeth Ekstrand\nSection Details\n\nFrisco IT116 | Tuesday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT116 | Tuesday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nElizabeth Ekstrand\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/18\n\nFLMC 2380-001 - CoEd Cinema & Film/Vid Prod\n\nCoEd Cinema & Film/Vid Prod | Open | Lee Shapiro\nSection Details\n\nIn-District Work Based Learning |\nSection Details\n\nIn-District Work Based Learning |\n\nCampus\n\n\nIn-District Work Based Learning\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46058\n\nGAME 1303-001 - Intro to Game Design & Develop\n\nIntro to Game Design & Develop | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n15/18\n\nGAME 1303-002 - Intro to Game Design & Develop\n\nIntro to Game Design & Develop | Open | Adam Villarreal\nSection Details\n\nFrisco IT112 | Monday | 6:00 PM - 10:50 PM\nSection Details\n\nFrisco IT112 | Monday | 6:00 PM - 10:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAdam Villarreal\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46254\n\nGAME 2325-001 - 3-D Anim II-Character Set-Up\n\n3-D Anim II-Character Set-Up | Waitlist | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT112 | Thursday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n20/20\n\nGAME 2325-002 - 3-D Anim II-Character Set-Up\n\n3-D Anim II-Character Set-Up | Open | Stephen Steinbach\nSection Details\n\nFrisco IT112 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\nSection Details\n\nFrisco IT112 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nStephen Steinbach\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46376", "rowCount": 423, "columnCount": 1, "hasMore": false, "sheetName": "Fall 2025" } ``` Read Spring 2025 rows 1001-1538 Parameters: ```json { "sheetName": "Spring 2025", "range": "A1001:A1538", "maxRows": 500 } ``` Result ```json { "success": true, "csv": "Instructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n18/20\n\nFLMC 1331-003 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Ethan Wilder\nSection Details\n\nFrisco IT112 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT112 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nEthan Wilder\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n19/20\n\nFLMC 1331-004 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Ethan Wilder\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nEthan Wilder\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nWeb\n\nEnrolled/Capacity\n23/25\n\nFLMC 1331-005 - Video Graph & Visual Effect I\n\nVideo Graph & Visual Effect I | Open | Drew Daleo\nSection Details\n\nWylie CC211 | Wednesday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC211 | Wednesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nDrew Daleo\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/20\n\nFLMC 2330-002 - Audio Post Production\n\nAudio Post Production | Open | Aaron Kinnard\nSection Details\n\nFrisco IT103 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT103 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Kinnard\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46374\n\nFLMC 2330-003 - Audio Post Production\n\nAudio Post Production | Open | Aaron Kinnard\nSection Details\n\nFrisco IT103 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT103 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAaron Kinnard\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46344\n\nFLMC 2331-001 - Video Graph & Visual Effect II\n\nVideo Graph & Visual Effect II | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Wednesday | 12:20 PM - 2:50 PM\nSection Details\n\nFrisco IT112 | Wednesday | 12:20 PM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/20\n\nFLMC 2333-002 - Cinematography\n\nCinematography | Open | Mark Kaufmann\nSection Details\n\nFrisco IT104 | Friday | 6:30 PM - 10:00 PM\nSection Details\n\nFrisco IT104 | Friday | 6:30 PM - 10:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nMark Kaufmann\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/20\n\nFLMC 2334-001 - Directing for Film or Video\n\nDirecting for Film or Video | Open | Lee Shapiro\nSection Details\n\nFrisco IT116 | Monday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT116 | Monday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nLee Shapiro\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46374\n\nFLMC 2334-002 - Directing for Film or Video\n\nDirecting for Film or Video | Open | Arthur Muhammad\nSection Details\n\nFrisco IT116 | Tuesday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT116 | Tuesday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nArthur Muhammad\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46374\n\nFLMC 2336-001 - Production Develop - Producing\n\nProduction Develop - Producing | Open | Elizabeth Ekstrand\nSection Details\n\nFrisco H121 | Monday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco H121 | Monday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nElizabeth Ekstrand\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n21/24\n\nFLMC 2380-001 - CoEd Cinema & Film/Vid Prod\n\nCoEd Cinema & Film/Vid Prod | Waitlist | Tonya McMillion\nSection Details\n(empty)\nSection Details\n(empty)\nCampus\n(empty)\nInstructors\n\nTonya McMillion\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nBlended\n\nEnrolled/Capacity\n46023\n\nGAME 1303-001 - Intro to Game Design & Develop\n\nIntro to Game Design & Develop | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT112 | Tuesday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n14/16\n\nGAME 1303-002 - Intro to Game Design & Develop\n\nIntro to Game Design & Develop | Open | Adam Villarreal\nSection Details\n\nFrisco IT112 | Monday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT112 | Monday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nAdam Villarreal\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n17/20\n\nGAME 1303-003 - Intro to Game Design & Develop\n\nIntro to Game Design & Develop | Open | Adam Villarreal\nSection Details\n\nWylie CC222 | Saturday | 9:00 AM - 2:30 PM\nSection Details\n\nWylie CC222 | Saturday | 9:00 AM - 2:30 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nAdam Villarreal\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n13/24\n\nGAME 2309-001 - Video Game Art II\n\nVideo Game Art II | Open | Gail Ellison\nSection Details\n\nFrisco IT102 | Friday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT102 | Friday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nGail Ellison\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46191\n\nGAME 2325-001 - 3-D Anim II-Character Set-Up\n\n3-D Anim II-Character Set-Up | Waitlist | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Thursday | 6:00 PM - 11:00 PM\nSection Details\n\nFrisco IT112 | Thursday | 6:00 PM - 11:00 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n20/20\n\nGAME 2325-002 - 3-D Anim II-Character Set-Up\n\n3-D Anim II-Character Set-Up | Open | Stephen Steinbach\nSection Details\n\nWylie CC211 | Monday | 9:00 AM - 2:50 PM\nSection Details\n\nWylie CC211 | Monday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nWylie Campus\n\nInstructors\n\nStephen Steinbach\n\nInstructional Format\n\nCombination", "rowCount": 500, "columnCount": 1, "hasMore": true, "sheetName": "Spring 2025" } ``` Read Spring 2025 final rows Parameters: ```json { "sheetName": "Spring 2025", "range": "A1501:A1538", "maxRows": 50 } ``` Result ```json { "success": true, "csv": "Combination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n19/20\n\nGAME 2359-001 - Game & Simulation Group Projec\n\nGame & Simulation Group Projec | Open | J Marshall Pittman\nSection Details\n\nFrisco IT112 | Thursday | 9:00 AM - 2:50 PM\nSection Details\n\nFrisco IT112 | Thursday | 9:00 AM - 2:50 PM\n\nCampus\n\n\nFrisco Campus\n\nInstructors\n\nJ Marshall Pittman\n\nInstructional Format\n\nCombination\n\nDelivery Mode\n\nHybrid\n\nEnrolled/Capacity\n46193", "rowCount": 37, "columnCount": 1, "hasMore": false, "sheetName": "Spring 2025" } ``` Now I have all the data. Let me use Python to parse all three sheets and build the transposed tables, including properly decoding the date serial numbers for Enrolled/Capacity. Now I have the serial-to-ratio mapping. This is a big task — let me use `execute_office_js` to read the raw cell values (which preserve the actual numbers vs text) and process all three sheets programmatically. Ran 2 scripts Get sheet dimensions Parameters: ```json { "code": "..." } ``` Code: ```javascript // Read raw values from all three sheets to get exact cell types const sheets = ["Fall 2025", "Spring 2025", "Summer 2025"]; const result = {}; for (const sheetName of sheets) { const sheet = context.workbook.worksheets.getItem(sheetName); const usedRange = sheet.getUsedRange(); usedRange.load(["values", "rowCount", "columnCount", "address"]); await context.sync(); result[sheetName] = { rowCount: usedRange.rowCount, colCount: usedRange.columnCount, address: usedRange.address }; } return result; ``` Show more Result ```json { "success": true, "result": { "Fall 2025": { "rowCount": 1424, "colCount": 1, "address": "'Fall 2025'!A1:A1424" }, "Spring 2025": { "rowCount": 1538, "colCount": 1, "address": "'Spring 2025'!A1:A1538" }, "Summer 2025": { "rowCount": 143, "colCount": 1, "address": "'Summer 2025'!A1:A143" } } } ``` Parse all courses from 3 sheets Parameters: ```json { "code": "..." } ``` Code: ```javascript // Read all data from all 3 sheets and parse courses const sheets = ["Fall 2025", "Spring 2025", "Summer 2025"]; const allData = {}; for (const sheetName of sheets) { const sheet = context.workbook.worksheets.getItem(sheetName); const usedRange = sheet.getUsedRange(); usedRange.load("values"); await context.sync(); allData[sheetName] = usedRange.values.map(r => r[0]); } // Date serial decoder function decodeSerial(serial) { // Excel date serial to JS date const base = new Date(1899, 11, 30); // Dec 30, 1899 const d = new Date(base.getTime() + serial * 86400000); return { enrolled: d.getMonth() + 1, capacity: d.getDate() }; } function parseCourses(values) { const courses = []; let i = 0; const courseRegex = /^[A-Z]{3,4}\s+\d{4}-\d{3}\s+-\s+/; const headings = ['Section Details', 'Campus', 'Instructors', 'Instructional Format', 'Delivery Mode', 'Enrolled/Capacity']; while (i < values.length) { const val = String(values[i]).trim(); if (courseRegex.test(val)) { const course = { name: val, status: '', campus: '', schedule: '', instructor: '', format: '', delivery: '', enrolled: '', capacity: '' }; // Next non-empty = "Title | Status | Instructor" i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const detail = String(values[i]).trim(); if (detail.includes('|')) { const parts = detail.split('|').map(p => p.trim()); if (parts.length >= 2) course.status = parts[1]; } } // Scan for headings until next course i++; let foundSchedule = false; while (i < values.length) { const line = String(values[i]).trim(); if (courseRegex.test(line)) break; if (line === 'Section Details' && !foundSchedule) { foundSchedule = true; i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const next = String(values[i]).trim(); if (next === '(empty)') { course.schedule = '(empty)'; } else if (!headings.includes(next) && !courseRegex.test(next)) { course.schedule = next; } else { continue; // don't increment, re-process this line } } i++; continue; } if (line === 'Campus') { i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const next = String(values[i]).trim(); if (next === '(empty)') { course.campus = '(empty)'; } else if (next && !headings.includes(next) && !courseRegex.test(next)) { course.campus = next; } else { continue; } } i++; continue; } if (line === 'Instructors') { i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const next = String(values[i]).trim(); if (next && !headings.includes(next) && !courseRegex.test(next)) { course.instructor = next; } else { continue; } } i++; continue; } if (line === 'Instructional Format') { i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const next = String(values[i]).trim(); if (next && !headings.includes(next) && !courseRegex.test(next)) { course.format = next; } else { continue; } } i++; continue; } if (line === 'Delivery Mode') { i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const next = String(values[i]).trim(); if (next && !headings.includes(next) && !courseRegex.test(next)) { course.delivery = next; } else { continue; } } i++; continue; } if (line === 'Enrolled/Capacity') { i++; while (i < values.length && String(values[i]).trim() === '') i++; if (i < values.length) { const raw = values[i]; // keep original type const rawStr = String(raw).trim(); if (rawStr.includes('/')) { const parts = rawStr.split('/'); course.enrolled = parseInt(parts[0]); course.capacity = parseInt(parts[1]); } else if (typeof raw === 'number') { const decoded = decodeSerial(raw); course.enrolled = decoded.enrolled; course.capacity = decoded.capacity; } else { course.enrolled = rawStr; course.capacity = ''; } } i++; continue; } i++; } courses.push(course); } else { i++; } } return courses; } // Parse all sheets const parsed = {}; let totalCourses = 0; for (const sheetName of sheets) { parsed[sheetName] = parseCourses(allData[sheetName]); totalCourses += parsed[sheetName].length; } // Save parsed data to conductor for writing const jsonData = JSON.stringify(parsed); conductor.writeFile("parsed_courses.json", jsonData); return { totalCourses, perSheet: { "Fall 2025": parsed["Fall 2025"].length, "Spring 2025": parsed["Spring 2025"].length, "Summer 2025": parsed["Summer 2025"].length }, sampleFall: parsed["Fall 2025"].slice(0, 2), sampleSpring: parsed["Spring 2025"].slice(0, 2), sampleSummer: parsed["Summer 2025"].slice(0, 2) }; ``` Show more Result ```json { "success": true, "result": { "totalCourses": 105, "perSheet": { "Fall 2025": 48, "Spring 2025": 52, "Summer 2025": 5 }, "sampleFall": [ { "name": "ARTV 1303-001 - Basic Animation", "status": "Open", "campus": "Frisco Campus", "schedule": "Frisco IT104 | Thursday | 6:00 PM - 10:50 PM", "instructor": "Esperanza Jacobs", "format": "Combination", "delivery": "Hybrid", "enrolled": 8, "capacity": 20 }, { "name": "ARTV 1303-002 - Basic Animation", "status": "Open", "campus": "Frisco Campus", "schedule": "Frisco IT104 | Monday | 9:00 AM - 1:50 PM | 08/25/2025 - 12/14/2025", "instructor": "Russell Smith", "format": "Combination", "delivery": "Hybrid", "enrolled": 17, "capacity": 20 } ], "sampleSpring": [ { "name": "ARTV 1303-001 - Basic Animation", "status": "Open", "campus": "Frisco Campus", "schedule": "Frisco IT104 | Thursday | 6:00 PM - 11:00 PM", "instructor": "Esperanza Jacobs", "format": "Combination", "delivery": "Hybrid", "enrolled": 16, "capacity": 20 }, { "name": "ARTV 1303-002 - Basic Animation", "status": "Waitlist", "campus": "Frisco Campus", "schedule": "Frisco IT104 | Monday | 9:00 AM - 2:50 PM", "instructor": "Russell Smith", "format": "Combination", "delivery": "Hybrid", "enrolled": 20, "capacity": 20 } ], "sampleSummer": [ { "name": "ARTV 1351-001 - Digital Video", "status": "Open", "campus": "Frisco Campus", "schedule": "Frisco IT103 | Monday, Tuesday, Wednesday, Thursday | 9:00 AM - 1:50 PM", "instructor": "Lee Shapiro", "format": "Combination", "delivery": "Hybrid", "enrolled": 13, "capacity": 18 }, { "name": "ARTV 1371-001 - Storybrd/Concept Dev", "status": "Open", "campus": "Frisco Campus", "schedule": "Frisco IT104 | Tuesday & Thursday | 9:00 AM - 2:50 PM | 06/09/2025 - 08/17/2025", "instructor": "Russell Smith", "format": "Combination", "delivery": "Hybrid", "enrolled": 15, "capacity": 20 } ] } } ``` All 105 courses parsed correctly (48 + 52 + 5). The date serials are properly decoded. Now let me write the transposed tables to each sheet. Ran 3 scripts Write transposed tables to all 3 sheets(retried) Parameters: ```json { "code": "..." } ``` Code: ```javascript // Read the parsed data and write transposed tables to each sheet const raw = conductor.readFile("excel-9rxWP8", "parsed_courses.json"); const parsed = JSON.parse(raw); const sheets = ["Fall 2025", "Spring 2025", "Summer 2025"]; const headers = ["Course", "Status", "Campus", "Location & Schedule", "Instructors", "Instructional Format", "Delivery Mode", "Enrolled", "Capacity"]; for (const sheetName of sheets) { const sheet = context.workbook.worksheets.getItem(sheetName); const courses = parsed[sheetName]; // Clear existing data first const usedRange = sheet.getUsedRange(); usedRange.clear(Excel.ClearApplyTo.all); await context.sync(); // Write headers const headerRange = sheet.getRangeByIndexes(0, 0, 1, headers.length); headerRange.values = [headers]; headerRange.format.font.bold = true; headerRange.format.font.color = "#FFFFFF"; headerRange.format.fill.color = "#4472C4"; headerRange.format.horizontalAlignment = Excel.HorizontalAlignment.center; // Write data rows if (courses.length > 0) { const dataRows = courses.map(c => [ c.name, c.status, c.campus, c.schedule, c.instructor, c.format, c.delivery, c.enrolled, c.capacity ]); const dataRange = sheet.getRangeByIndexes(1, 0, courses.length, headers.length); dataRange.values = dataRows; // Format Enrolled and Capacity columns as numbers (not dates) const enrolledCol = sheet.getRangeByIndexes(1, 7, courses.length, 2); enrolledCol.numberFormat = dataRows.map(() => [["0", "0"]]).flat(); } // Auto-fit columns const fullRange = sheet.getRangeByIndexes(0, 0, courses.length + 1, headers.length); fullRange.format.autofitColumns(); await context.sync(); } return { success: true, written: { "Fall 2025": parsed["Fall 2025"].length, "Spring 2025": parsed["Spring 2025"].length, "Summer 2025": parsed["Summer 2025"].length } }; ``` Show more Error {"success":false,"error":"Cannot read properties of null (reading 'Fall 2025')"} Bash ```javascript ls /agents/excel-9rxWP8/files/ ``` Result ```json { "stdout": "", "stderr": "ls: /agents/excel-9rxWP8/files/: No such file or directory\n", "exitCode": 2 } ``` Bash ```javascript ls /agents/ ``` Result ```json { "stdout": "", "stderr": "", "exitCode": 0 } ``` The conductor file didn't persist. Let me do it all in one JS call - parse and write: Parse & write transposed tables to all sheets All 105 courses written. Let me verify the results visually: Used 3 tools Verify Fall 2025 table Parameters: ```json { "sheetName": "Fall 2025", "range": "A1:I10" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Fall 2025!A1:I10" } ``` Verify Spring 2025 table Parameters: ```json { "sheetName": "Spring 2025", "range": "A1:I10" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Spring 2025!A1:I10" } ``` Verify Summer 2025 table Parameters: ```json { "sheetName": "Summer 2025", "range": "A1:I6" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Summer 2025!A1:I6" } ``` > All three sheets look great. Let me also quickly verify the bottom of the larger sheets to make sure all courses were captured: Used 2 tools Verify Fall 2025 last rows Parameters: ```json { "sheetName": "Fall 2025", "range": "A47:I49" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Fall 2025!A47:I49" } ``` Verify Spring 2025 last rows Parameters: ```json { "sheetName": "Spring 2025", "range": "A51:I53" } ``` ![Tool output](data:image/png;base64,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) Result ```json { "success": true, "address": "Spring 2025!A51:I53" } ``` All courses are properly captured and the Enrolled/Capacity values are correctly decoded. Here's a summary of what was done: **All 3 sheets transposed successfully:** |Sheet|Courses|Rows → Columns| |---|---|---| |Fall 2025|48 courses|1,424 rows → 49 rows| |Spring 2025|52 courses|1,538 rows → 53 rows| |Summer 2025|5 courses|143 rows → 6 rows| **For each course, the following fields are aligned as columns:** - Course, Status, Campus, Location & Schedule, Instructors, Instructional Format, Delivery Mode, **Enrolled**, **Capacity** (split into two separate numeric columns) **Date serial numbers** (like 46254, 46223, etc.) were decoded back to their original enrolled/capacity ratios (e.g., 8 , 7 ). All Enrolled and Capacity columns are formatted as plain numbers to prevent Excel from re-interpreting them as dates. > This looks great. Can you do Spring 2026 tab? Used 2 tools, parse & write Spring 2026 transposed table Done! Spring 2026 is transposed — **47 courses** converted from 1,395 rows into a clean table with all the same columns as the other sheets. Enrolled/Capacity values are properly decoded into two separate numeric columns. > Is there a way to save this operation for future use? I perform this several times each year. Yes! I can save this as a **custom skill** that you can invoke anytime with a simple command. It will automatically: 1. Read the raw vertical course data from the active sheet 2. Parse all courses and extract the embedded headings 3. Decode any Enrolled/Capacity values that Excel misinterpreted as dates 4. Write a clean transposed table with all 9 columns Let me create that for you now. Read instructions Read Skill Parameters: ```json { "skill_name": "skill-creator" } ``` Result ```json { "skill_name": "skill-creator", "instructions": "Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy." } ``` I've created a reusable skill called **`/transpose-courses`**. Here's how it works: ### Usage Next time you paste course catalog data into a sheet, just type: > `/transpose-courses` It will automatically: 1. **Read** the raw vertical data from the active sheet's column A 2. **Parse** all courses by detecting the repeating heading pattern 3. **Fix** any Enrolled/Capacity values that Excel converted to dates 4. **Write** a clean 9-column table (Course, Status, Campus, Location & Schedule, Instructors, Instructional Format, Delivery Mode, Enrolled, Capacity) 5. **Format** with styled headers and auto-fitted columns ### Workflow each semester 1. Paste the course catalog data into a new sheet tab 2. Name the tab (e.g., "Fall 2026") 3. Type `/transpose-courses` 4. Done! Note: The skill assumes the same course catalog format you've been using. If the catalog layout changes in the future, let me know and I can update the skill. ---