What this category's data looks like
This page addresses progress records and statistical verification for undergraduate program revision; the materials include program plans, course syllabi, and credit structure tables. The program plan provides the disciplinary direction and the total credit framework, the course syllabus carries course names, credits, and semesters offered, and the credit structure table summarizes the proportions of each category of courses. The three types of materials are submitted in batches during the revision cycle, and the fields involve course codes, course names, credits, credit hours, revision dates, and signature fields. The progress table and the statistical scope description are completed next by deployment handover and subsequent business processing; when the materials enter this function, they respectively assume the roles of framework, details, and summary, and are used to check whether the number of records and the statistical counts match and whether the scope is written into the table header. The update cadence is aggregated weekly or monthly, making it easy to use one week's records to verify the totals and to check whether exceptions are clearly written.
Configuration and implementation checks
This step is executed by the connection configuration of the deployment environment (server side), not by the capability of a model node, and outputs whether the connection is available (service startup result and connection logs). The "progress table and statistical scope description" are completed next by deployment handover and subsequent business processing.
| Object | Check | Verification action |
|---|---|---|
| Program plan | Check whether the disciplinary direction, total credits, revision date, and signature field in the program plan correspond item by item with the course syllabus and credit structure table | Compare the three materials and verify course names, quantities, dates, and signatures one by one, marking any inconsistencies |
| Course syllabus | Check whether the course names, credits, credit hours, and semesters offered in the course syllabus are consistent with the scope of the program plan and credit structure table | Sort by course code and compare the names, quantities, and dates of the same record in the two materials |
| Credit structure table | Check whether the course categories, credit proportions, and totals in the credit structure table are consistent with the statistical scope of the program plan and course syllabus | Use one week's records to verify the totals, check whether the scope and exceptions are clearly written, and record the version number |
| Connection configuration | Check whether the values of the connection variables for the main business database, log database, cache, and vector database are consistent with the deployment instructions; the log database may reuse the main database | Connect once to the main business database, log database, cache, and vector database item by item, and check the connection results in the startup logs |
Three common errors
- Symptom: the names, quantities, and dates of the same course do not match across two materials. Cause: the revised draft and the final draft exist in parallel and were not aggregated under a unified scope.
- Symptom: the totals in the credit structure table are inconsistent with the details in the course syllabus. Cause: versions were not synchronized, and old-version courses are still within the statistical scope.
- Symptom: the signature field or receipt is missing, and the progress record cannot be confirmed. Cause: receipts were not fully collected during the submission step, so there is no basis for verification.
How to verify the setup
This function's acceptance: connect once to the main business database, log database, cache, and vector database item by item, check the connection results in the startup logs, and verify that the values of MONGODB_URI, REDIS_URL, and PG_URL are consistent with the deployment instructions.
Business test: use one week's records to verify the totals and see whether the scope and exceptions are clearly written.
- In the deployment environment, verify that the variable values are consistent with the database addresses, check whether the variables are set, and verify the database to which logs are written.
- Use a client to connect once to the cache and verify the response; check the selected vector database and address against the deployment instructions.