πŸ“… 2025-06-20 β€” Session: SQL Syntax and Relational Algebra Review

πŸ•’ 17:50–22:10
🏷️ Labels: SQL, Relational Algebra, Feedback, Education, Data Manipulation
πŸ“‚ Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to review and provide feedback on SQL syntax understanding, clarify relational algebra concepts, and compare SQL with pandas for data manipulation.

Key Activities

  • Provided feedback on a student’s SQL syntax understanding, suggesting improvements and a more concise pedagogical approach.
  • Summarized basic SQL syntax, focusing on table creation, alias usage, and correct column enumeration in SELECT queries.
  • Discussed the use of aliases in simple SQL queries and provided correct SQL code examples.
  • Diagnosed common SQL query errors, specifically in clauses and aggregate functions, and provided corrected examples.
  • Clarified the distinction between relational algebra’s PROJECT operator and SQL’s SELECT DISTINCT.
  • Explained the use of the AVG() function in SQL and noted that MEAN() is not a standard SQL function.
  • Identified common SQL syntax errors and provided corrections and examples.
  • Explained the use of GROUP BY and DISTINCT in SQL, with examples and recommendations for students.

Achievements

  • Enhanced understanding of SQL syntax and relational algebra concepts.
  • Provided actionable feedback and corrections for common SQL errors.
  • Improved pedagogical approach for teaching SQL.

Pending Tasks

  • Further exploration of SQL and pandas data manipulation comparisons.
  • Additional practice exercises for students on SQL syntax and relational algebra.