AP CSP Day 15 - Data Project - Day 2 and Unit Review
AP CSP Day 15 - Data Project - Day 2 and Unit Review
Course Information
- Course: AP Computer Science Principles
- Unit: Big Idea 3 - Data & Information (DAT)
- Lesson: Day 15 (50 minutes)
- Learning Objective: DAT-1.J - Develop a data project
Learning Objectives
Primary Goals
Students will be able to:
- Implement a data project
- Review key concepts from the Data unit
- Reflect on learning outcomes
- Prepare for upcoming assessments
AP Exam Alignment
- Big Idea 3: Data & Information (27-36% of AP Exam)
- Essential Knowledge: DAT-1.J.1, DAT-1.J.2, DAT-1.J.3
- Computational Thinking Practice: 4.B - Evaluate solutions to problems using data
Lesson Structure (50 minutes)
Opening Hook (10 minutes)
15.1 Welcome & Lesson Preview (5 minutes)
Teacher Activities:
- Welcome students to Day 15
- Review previous lesson's key concepts
- Introduce today's focus on implementing a data project and reviewing the unit
Student Activities:
- Review previous lesson's materials
- Think about: "How can we implement our data project?"
15.2 Quick Implementation Challenge (5 minutes)
Activity: "Implement a Data Project Step"
Instructions:
- Groups of 4-6 students
- Implement one step of their planned data project
- Discuss the process
Purpose: Activate thinking about data project implementation
Core Content Instruction (20 minutes)
16.1 Implementing a Data Project (10 minutes)
Steps (DAT-1.J.1):
- **Data collection: Gather datasets
- **Data processing: Transform raw data
- **Data visualization: Create meaningful charts
- **Insights presentation: Share findings effectively
Case Study: The implementation of a social media analytics project
- Collection process: Gathering posts and comments
- Processing process: Filtering and aggregating data
- Visualization process: Creating interactive dashboards
- Outcome: Insights into user engagement trends
16.2 Review Key Concepts (5 minutes)
Concepts:
- **Data representation: Binary encoding
- **Compression: Lossless and lossy techniques
- **Extraction: Queries and filters
- **Processing: Sorting, filtering, aggregation
- **Visualization: Charts and graphs
- **Metadata: Descriptive and structural information
- **Privacy and security: Encryption and anonymization
- **Bias: Identifying and reducing bias
Examples:
- Social media app: Visualizing user engagement data
- Health tracking app: Processing and visualizing fitness metrics
16.3 Reflect on Learning Outcomes (5 minutes)
Why is reflection important?:
- Retention: Reinforcing learned concepts
- Application: Preparing for future projects
- Preparation: Readying for assessments
Discussion Questions:
- What did you learn about data representation?
- How do compression techniques affect data storage?
- Why is metadata important for data management?
- What challenges did you face in reducing bias?
Hands-On Activity (15 minutes)
17.1 Group Project: Data Project Implementation (15 minutes)
Activity: "Implement and Review a Data Project"
Instructions:
- Groups of 3-4 students
- Implement their planned data project
- Review key concepts from the unit
- Reflect on learning outcomes
- Present findings
Materials:
- **Planned data projects
- **Implementation worksheet
- **Access to coding environment
Learning Goals:
- **Understand data project implementation
- **Review unit concepts
- **Reflect on learning outcomes
- **Present ideas effectively
Assessment:
- **Group participation
- **Implementation quality
- **Reflection depth
- **Presentation clarity
Closure & Preview (5 minutes)
18.1 Key Concepts Review (2 minutes)
Today's Learning Highlights:
- ✅ Implementing a data project
- ✅ Reviewing key concepts from the unit
- ✅ Reflecting on learning outcomes
- ✅ Preparing for assessments
AP Exam Connection:
- These concepts will appear in AP exam multiple choice questions
- Developing data projects is crucial for the Explore Performance Task
18.2 Next Class Preview (3 minutes)
Topic: "Final Review and Preparation for Assessments"
- Learning Objective: DAT-1.K - Prepare for assessments
- Activity: Practicing final review techniques
- Homework: Complete your data project and prepare for the unit test.