STEM Programs in San Mateo, CA

I. INTRODUCTION This class is an exciting adventure for kids, teaching them to use coding to create fun Movie projects. It will teach them to use scratch tools to create their own animated movies, nurture their creativity and encourage them to use dance, movement, fun colors, and music, and use coding in creating their own fun movie projects. They are not just assembling video clips, they will be learning how to write code for their projects. Ours are instructor lead programs where content and instructions will stay with the pace of the student, unlike video sessions. They are interactive and can help students debug issues by looking at the screen and engage them. II. WHAT WILL BE TAUGHT: 1. Definition of Moviemaking 2. Importance of coding for Movie Making 3. Step by step procedure to build a movie III. TOPICS TO BE COVERED 1] - Fundamentals of Scratch - Creating simple animations - Teaching building blocks - Movie Making 1 2] - Associating Sounds with a character - Play Sound - Teaching the logic behind scripts - Movie Making 2 3] - Demonstrating rock, paper, scissor games - Demonstrating guessing game - Play Drums Part I - Play Drums Part II 4] - Creating a Guessing game - Create rock, paper, scissor games - Movie Making 3 5] - Play Note and Play Instruments Part I - Play Note and Play Instruments Part II Note: "This course outline is a general guideline, we go by the pace of the group, when it comes to coding and creativity students have to get the hang of it. We try to cover everything as much as possible. Classes will be taught on-site or on-line CANCELLATION POLICY: All sign-ups are final. No cancellations or refunds will be issued after registration. Note: Students will also receive access to NexClap.com for online course materials and NexGenKlick.ai to capture and showcase their learning journey.

A. Course Overview: The Python Programming curriculum is a one-semester course covering topics typically found in introductory computer programming (coding) courses. Other introductory programming courses are not required; students merely need to have typical computer usage skills prior to starting this course. B. Teaching Strategies: The course material is designed to appeal to a variety of students, from traditional learners who thrive on written text to audio-visual students who enjoy a multi-media format. All content is delivered through an online system that allows students to work seamlessly both in the classroom and at home. The main chapters concentrate on Python programming and computer science topics. Certain states may require additional topics ranging from computing ethics and security to career exploration to the impact of computers on modern society. The course contains additional supplemental chapters at the end that can optionally be used to meet common state requirements. Teachers may choose to assign Supplemental Lessons as desired to meet state standards or student interest. The final “Creative Project” is optional and can be completed in small groups C. Course Planner: Some classes may move faster or slower than the suggested pace. The planner assumes students are working daily with approximately 45 to 60 minutes of class time. In most cases, the planner estimates one day per lesson (including the lesson quiz), one day per graded chapter activity (lab), and one day per chapter test. Some larger labs are assigned more time. D. Reading and Objectives: Chapter One: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter Two: Working with Data • Data Types and Variables • Using Numeric Variables • Using String Variables Chapter Three: Input and Output • Printing with Parameters • Getting Input from a User • String Formatting Chapter Four: Making Decisions • Logical Expressions • The “if” Statement • Logical Operators • More Complex Expressions Chapter Five: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter Six: Lists and Loops • Lists and Tuples • List Functions • “For” Loops • “While” Loops Chapter Seven: Numeric and Data • Dates and Times • Advanced Data and Time Management • Random Numbers • The Math Library Chapter Eight: Working with Strings • Character Data • String Functions • Input Validation with “try / except” Chapter Nine: Functions • Writing and Calling Functions • Function Inputs and Outputs • Local and Global Scope Chapter Ten: Python Classes • Thinking about Objects • Class Variables and Methods • Managing Class Files Chapter Eleven: Class Instances • Creating Objects with Instance Data • Instance Methods • Managing Objects Chapter Twelve: Food Fight Project • Introducing “Food Fight” Chapter Thirteen: Creative Project Requirements (Scale as desired to meet available time) Design • Project Life-cycles and teams Coding Testing • Supplemental Chapter One: Python on Your Computer • Installing Python • Managing Projects • Using the Python IDE • Supplemental Chapter Two: Computers and Individual exercises per lesson Modern Society • Global Computing Issues • Managing Your Digital Identity • Impact of Computing • Artificial Intelligence Classes will be taught on-site or on-line CANCELLATION POLICY: All sign-ups are final. No cancellations or refunds will be issued after registration. Note: Students will also receive access to NexClap.com for online course materials and NexGenKlick.ai to capture and showcase their learning journey.

A. Course Overview: The Python Programming curriculum is a one-semester course covering topics typically found in introductory computer programming (coding) courses. Other introductory programming courses are not required; students merely need to have typical computer usage skills prior to starting this course. B. Teaching Strategies: The course material is designed to appeal to a variety of students, from traditional learners who thrive on written text to audio-visual students who enjoy a multi-media format. All content is delivered through an online system that allows students to work seamlessly both in the classroom and at home. The main chapters concentrate on Python programming and computer science topics. Certain states may require additional topics ranging from computing ethics and security to career exploration to the impact of computers on modern society. The course contains additional supplemental chapters at the end that can optionally be used to meet common state requirements. Teachers may choose to assign Supplemental Lessons as desired to meet state standards or student interest. The final “Creative Project” is optional and can be completed in small groups C. Course Planner: Some classes may move faster or slower than the suggested pace. The planner assumes students are working daily with approximately 45 to 60 minutes of class time. In most cases, the planner estimates one day per lesson (including the lesson quiz), one day per graded chapter activity (lab), and one day per chapter test. Some larger labs are assigned more time. D. Reading and Objectives: Chapter One: Fundamentals of Python • Introduction to Python • Running Python Programs • Writing Python Code Chapter Two: Working with Data • Data Types and Variables • Using Numeric Variables • Using String Variables Chapter Three: Input and Output • Printing with Parameters • Getting Input from a User • String Formatting Chapter Four: Making Decisions • Logical Expressions • The “if” Statement • Logical Operators • More Complex Expressions Chapter Five: Finding and Fixing Problems • Types of Errors • Troubleshooting Tools • Using the Python Debugger Chapter Six: Lists and Loops • Lists and Tuples • List Functions • “For” Loops • “While” Loops Chapter Seven: Numeric and Data • Dates and Times • Advanced Data and Time Management • Random Numbers • The Math Library Chapter Eight: Working with Strings • Character Data • String Functions • Input Validation with “try / except” Chapter Nine: Functions • Writing and Calling Functions • Function Inputs and Outputs • Local and Global Scope Chapter Ten: Python Classes • Thinking about Objects • Class Variables and Methods • Managing Class Files Chapter Eleven: Class Instances • Creating Objects with Instance Data • Instance Methods • Managing Objects Chapter Twelve: Food Fight Project • Introducing “Food Fight” Chapter Thirteen: Creative Project Requirements (Scale as desired to meet available time) Design • Project Life-cycles and teams Coding Testing • Supplemental Chapter One: Python on Your Computer • Installing Python • Managing Projects • Using the Python IDE • Supplemental Chapter Two: Computers and Individual exercises per lesson Modern Society • Global Computing Issues • Managing Your Digital Identity • Impact of Computing • Artificial Intelligence Classes will be taught on-site or on-line CANCELLATION POLICY: All sign-ups are final. No cancellations or refunds will be issued after registration. Note: Students will also receive access to NexClap.com for online course materials and NexGenKlick.ai to capture and showcase their learning journey.