Programming and Robotics for Primary and Secondary.

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From 48.32 C$ /h

In the first quarter we focused on the following contents for the fourth grade:
1.0 Introduction to basic programming.
1.1 What is programming?
1.2 Give instructions.
1.3 Coded messages
1.4 Circling - the coordinates (x and us simulators)
1.5 Programming language suitable for girls/boys: Then, Blockly, Hour Code, etc.
1.6 First contacts with Mblock Robots, Lego WeDO 2.0-1.0.
1.7 introduction to Scratch 3.0 using Makey Makey
2.1 Programming languages.
2.2 Programming with Scratch
2.3 Blocks of events, movements, control, sounds
2.4 Rest of blocks: pen down, appearance, sensors and operators
2.5 Create variables and make blocks.
5. 2.5 Choose sprites, costumes, backgrounds.
6. 2.6 Extensions: programming educational robots, controller boards, pen down, smart cameras, music. the.
3.1 What is a controller board? 3.2 How do I program it?
3.3 What is it for?

4.2 Basic programming in Mblock to use Mbot robots 4.3 Implementation of Makey-Makey or Microbit controller boards.
4.4 Basic educational electronics For the sixth year we worked: 1.1Creation of a video game with Scratch 3.0 1.2Use of Scratch for the use of others

Extra information

Student Manuals

Location

Online from Spain

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

Spanish

English

Polish

Skills

Computer programming

Electrical circuits

High school entrance prep

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Courses Offered

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Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
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Mini projects and problem-solving exercises

2. Advanced Python Programming
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Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

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Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets