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SQL & Logic | Data Analysis Like an AI System Unit Lesson Lab
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Description

Lesson 4 Lab: Intro to SQL & Logic | Querying Data Like a Developer (AI‑Aware)

Hands‑On Data Lab for Lesson 4 of the AI Programming & Logic Unit

In this Lesson 4 SQL + Logic Lab, students apply what they’ve learned about databases, SQL queries, and logical conditions to analyze a dataset—just like real developers and AI systems do. Students practice filtering data using conditions and combining logic statements, reinforcing the idea that AI decision‑making is driven by data and logic.

This lab is designed as a guided, beginner‑friendly data investigation, helping students transition from learning about data to actively working with data.

No prep required

Designed for use within the larger unit

Accessible for students with no prior SQL experience

In this lab, students:

  • Query a dataset using simple SQL‑style logic
  • Identify records that meet specific conditions
  • Combine multiple conditions using AND
  • Interpret results and explain their reasoning
  • Extend learning by creating and explaining their own conditions

The focus is on logical thinking and data reasoning, not memorizing syntax.

Skills Practiced:

  • Interpreting data tables
  • Applying conditional logic to filter results
  • Using SQL‑style thinking (SELECT / WHERE concepts)
  • Combining conditions logically (AND)
  • Explaining outcomes clearly and accurately
  • Understanding how data rules mirror AI behavior

Lab Tasks Include: Students use the dataset to:

  • Find all students who passed
  • Find students with scores below a threshold
  • Identify students by age
  • Apply multiple conditions (passed AND age > 15)

Extension Option:

  • Create an original condition
  • Explain why the result set changes

What’s Included (Component‑Level)

  • Student lab activity
  • Structured data‑querying tasks
  • Built‑in extension challenge
  • Aligns with Lesson 4 slides and worksheet
    (Answer keys, rubrics, and assessments are included elsewhere in the unit bundle.)

This lab is designed to be used:

  • After direct instruction on SQL and logic
  • As hands‑on guided or independent practice
  • As preparation for discussion or reflection on AI + data

It reinforces:

  • SQL concepts
  • Logical operators
  • Data‑driven decision‑making

Grade Levels

  • Middle School (Grades 6–8)
  • High School (Grades 9–12)
  • Intro College / CTE

This lab is included as part of a larger AI Programming & Logic unit bundle and is intended for classroom use only. Redistribution is not permitted.

Keywords

SQL lab for students data querying lab intro to SQL activity computer science data lab logic and data activity AI and data lesson SQL AND logic practice database querying worksheet AI literacy activity

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Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

SQL & Logic | Data Analysis Like an AI System Unit Lesson Lab

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Intro to SQL & Data Logic | How AI Works with Data (No Prep CS Unit)Teach students to query databases with this comprehensive SQL and Logic Mini-Unit. Perfect for Middle or High School Computer Science, this no-prep bundle includes a step-by-step SQL lab, logic worksheets, and a creative final p
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Description

Lesson 4 Lab: Intro to SQL & Logic | Querying Data Like a Developer (AI‑Aware)

Hands‑On Data Lab for Lesson 4 of the AI Programming & Logic Unit

In this Lesson 4 SQL + Logic Lab, students apply what they’ve learned about databases, SQL queries, and logical conditions to analyze a dataset—just like real developers and AI systems do. Students practice filtering data using conditions and combining logic statements, reinforcing the idea that AI decision‑making is driven by data and logic.

This lab is designed as a guided, beginner‑friendly data investigation, helping students transition from learning about data to actively working with data.

No prep required

Designed for use within the larger unit

Accessible for students with no prior SQL experience

In this lab, students:

  • Query a dataset using simple SQL‑style logic
  • Identify records that meet specific conditions
  • Combine multiple conditions using AND
  • Interpret results and explain their reasoning
  • Extend learning by creating and explaining their own conditions

The focus is on logical thinking and data reasoning, not memorizing syntax.

Skills Practiced:

  • Interpreting data tables
  • Applying conditional logic to filter results
  • Using SQL‑style thinking (SELECT / WHERE concepts)
  • Combining conditions logically (AND)
  • Explaining outcomes clearly and accurately
  • Understanding how data rules mirror AI behavior

Lab Tasks Include: Students use the dataset to:

  • Find all students who passed
  • Find students with scores below a threshold
  • Identify students by age
  • Apply multiple conditions (passed AND age > 15)

Extension Option:

  • Create an original condition
  • Explain why the result set changes

What’s Included (Component‑Level)

  • Student lab activity
  • Structured data‑querying tasks
  • Built‑in extension challenge
  • Aligns with Lesson 4 slides and worksheet
    (Answer keys, rubrics, and assessments are included elsewhere in the unit bundle.)

This lab is designed to be used:

  • After direct instruction on SQL and logic
  • As hands‑on guided or independent practice
  • As preparation for discussion or reflection on AI + data

It reinforces:

  • SQL concepts
  • Logical operators
  • Data‑driven decision‑making

Grade Levels

  • Middle School (Grades 6–8)
  • High School (Grades 9–12)
  • Intro College / CTE

This lab is included as part of a larger AI Programming & Logic unit bundle and is intended for classroom use only. Redistribution is not permitted.

Keywords

SQL lab for students data querying lab intro to SQL activity computer science data lab logic and data activity AI and data lesson SQL AND logic practice database querying worksheet AI literacy activity

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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