Siliconvalley4u

3D printing is the construction of a three-dimensional object from a CAD model or a digital 3D model. This class is open to beginning and advanced students. Topics covered aims to provide students the knowledge of basic 3D Printing. Students will explore and create their own 3D models through a software. TinkerCAD or Blender will be introduced to students. Focus would be on 3D modeling first.

This course introduces beginners to the word of coding. For those kids that have some prior knowledge of coding, this course injects concepts that can develop real-world application development. - Scratch programming - Python programming - Java programming - Javascript - HTML/CSS web development We pick ONE OF the programming languages from the above list that suits student's interests and abilities and define a personalized pathway to learn and apply skills to build the real-world application for the marketplace: https://www.siliconvalley4u.com/swatstore Students build profile using nexclap (www.nexclap.com) Free Video courses and exercises will be provided for 6 month course (https://nexclap.com/courses) Duration: 6 months (24 classes) Makeup classes: Flexible (as many as you need) Blog creation and review : Help students with reading technologies and domains and write blogs. We will review the blog and give feedback through emails and group communication. Selected blogs will be posted on social channels and website (https://www.siliconvalley4u.com/blogs) [ This is not a class, but invest time and efforts to have them work on it] Cancelation policy: No cancellations or refunds are allowed for the duration of 6 months

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

A. Course Overview This Python Programming course is a program designed to introduce students to the fundamentals of coding. No prior programming experience is necessary—students only need basic computer usage skills. B. Teaching Strategies The course materials cater to diverse learning styles, combining written text with engaging multimedia content. Delivered entirely online, the course offers flexibility for students to learn seamlessly from home or in the classroom. Key chapters focus on Python programming and computer science principles, while supplemental lessons cover topics such as computing ethics, career exploration, and societal impacts of technology. Teachers may tailor lessons to meet state standards or student interests. The course culminates in an optional Creative Project, which can be completed individually or in small groups, fostering collaboration and hands-on application of programming skills. C. Course Planner The curriculum is designed for daily lessons lasting 45-60 minutes. Each chapter includes: • One lesson per day (including quizzes). • One day per chapter lab activity. • One day per chapter test. Larger labs may require additional time. D. Chapters and Objectives Chapter 1: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter 2: Working with Data • Data Types and Variables • Numeric and String Variables Chapter 3: Input and Output • Printing Parameters • User Input • String Formatting Chapter 4: Making Decisions • Logical Expressions and Operators • The “if” Statement • Complex Expressions Chapter 5: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter 6: Lists and Loops • Lists, Tuples, and Functions • “For” and “While” Loops Chapter 7: Numeric and Data • Dates, Times, and Math Libraries • Random Numbers Chapter 8: Working with Strings • String Functions • Input Validation with “try/except” Chapter 9: Functions • Writing and Calling Functions • Local and Global Scope Chapter 10: Python Classes • Object-Oriented Programming Basics Chapter 11: Class Instances • Creating and Managing Objects Chapter 12: Food Fight Project • Developing a Python-based Game Chapter 13: Creative Project • Design, Coding, Testing, and Team Collaboration Supplemental Lessons • Python on Your Computer: Installing Python, Using IDEs, and Managing Projects. • Computers and Society: Global Computing, Digital Identity, and Artificial Intelligence.

Join the adventure as you build your own world, fight mobs, and explore different landscapes. Minecraft is a video game with limitless possibilities. Virtual Lego as they say, Minecraft usually had been described as the game with no rules. This class will tackle the world of Minecraft but with a twist! We will explore the game with a little bit of CODING! Classes will be taught online! Students will explore Minecraft from the comfort of their home!