Academic Syllabus & Course Curriculum Schema Markup (JSON-LD)
Structured data for collegiate course syllabi, weekly lecture modules, reading assignments, grading rubrics, workload hours, and academic prerequisite sequences.
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Production JSON-LD Code Block
Embed this structured data block directly into your HTML <head> or framework layout template.
{
"@context": "https://schema.org",
"@type": "Course",
"name": "CS 342: Advanced Information Retrieval & Search Engines",
"description": "A comprehensive undergraduate syllabus covering inverted index compression, BM25 ranking, vector embeddings, and crawler design.",
"courseCode": "CS-342",
"inLanguage": "en-US",
"provider": {
"@type": "CollegeOrUniversity",
"name": "Pacific Institute of Technology",
"url": "https://omniseotools.com/university"
},
"educationalLevel": "Upper-Division Undergraduate",
"syllabusSections": [
{
"@type": "Syllabus",
"name": "Module 1: Inverted Indices & Postings Compression",
"description": "Variable-byte encoding, Elias-gamma codes, and skip lists for fast boolean queries."
},
{
"@type": "Syllabus",
"name": "Module 2: Dense Vector Retrieval & HNSW Graphs",
"description": "Approximate nearest neighbor search, quantized vector indices, and hybrid scoring."
}
],
"hasCourseInstance": [
{
"@type": "CourseInstance",
"courseMode": "Onsite",
"courseWorkload": "PT45H",
"startDate": "2026-09-01",
"endDate": "2026-12-15",
"instructor": {
"@type": "Person",
"name": "Dr. Maya Lin",
"jobTitle": "Professor of Computer Science"
}
}
]
}Typed Properties Specification (8 Fields)
Key Schema.org properties and sub-objects required to qualify for rich snippet treatment in Google Search.
| Property | Expected Type | Status | Description & Example |
|---|---|---|---|
| name | string | Required | Official title and course code of the academic class. e.g. CS 342: Advanced Information Retrieval & Search Engines |
| syllabusSections | Syllabus[] | Required | Structured array of Syllabus nodes detailing weekly modules and topics. e.g. [ { '@type': 'Syllabus', 'name': 'Module 1: Inverted Indices', ... } ] |
| courseCode | string | Required | University course catalog identifier (e.g. CS-342). e.g. CS-342 |
| provider | CollegeOrUniversity | Required | University or academic department offering the syllabus. e.g. { '@type': 'CollegeOrUniversity', 'name': 'Pacific Institute of Technology' } |
| educationalLevel | string | Recommended | Academic tier (e.g. Undergraduate, Graduate, Doctoral). e.g. Upper-Division Undergraduate |
| hasCourseInstance | CourseInstance[] | Required | Semester schedule and instructor details. e.g. [ { '@type': 'CourseInstance', 'courseMode': 'Onsite', 'startDate': '2026-09-01' } ] |
| inLanguage | string | Required | Primary language of instruction. e.g. en-US |
| description | string | Required | Academic course overview and learning objectives. e.g. A comprehensive undergraduate syllabus covering inverted index compression. |
Google Search Console Pitfalls & Critical Warnings
Avoid these 3 common validation traps, parser errors, and algorithmic policy penalties when deploying Course schema.
Missing syllabusSections Array Structure
Providing raw unstructured text paragraphs instead of nested Syllabus objects.
Wrap each module in a dedicated Syllabus entity with name and description.
Missing Course Code
Omitting courseCode on official collegiate syllabus pages.
Always populate courseCode matching university registrar catalogs.
Unlinked CollegeOrUniversity Entity
Specifying provider as a plain string instead of a CollegeOrUniversity node.
Format provider as a typed CollegeOrUniversity object with canonical URL.
Recommended Implementation Scenarios
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Displayed below main page header or above the tool container. • Zero CLS Container