About Us
Unique World Education lays a strong foundation of STEM and Robotics among young schoolers and professionals through its Robotics Division. At Unique Robotics Education we can experience, explore and experiment on Robotics and Related domains.
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Contact Info
- Hamsah A Building, Al Karama, Dubai
- +971 56 548 4725
- robotics@uniqueroboticsedu.com
- Sat - Thu: 08.00 AM to 07.00 PM Fri: 10.30 AM to 07.00 PM
COURSES FOR 15 PLUS YEARS
Certified Courses
Age 15+ Years
ELECTRONICS Level-1
Learning Outcomes:
- Understand the concepts of voltage, resistance and current
- Ohm's law and its application
- Types of connection and related flow of current
- Study of electronics tools like multimeter & power supply
- Use of switch and its various configurations
- Understand capacitors, charging and discharging
- Understand IR sensor and its applications
- Working of a diode
- Study of transistor acting as a switch and its classifications
- Inverting circuit using Transistor
- Modulation of sound using buzzer
ELECTRONICS Level-2
Learning Outcomes:
- Study of combinational circuit & puzzled game
- Types of variable resistor and voltage divider circuit
- Understand the functions of coil & relation of magnetic field with electronics
- Understand motor control circuit with transistor & switch
- Understand motor control with integrated circuits
- Functional use of numeric display and control circuit
- Understand LED pattern with basic 555 IC
- Mathematical calculation for value of resistor and capacitor for time
- Study of set & reset device using bistable mode
- Study of wave pattern with differential time generation
ARDUINO Level-1
Learning Outcomes:
- Understanding text-based coding to program electronic circuits
- Learn multiple component mapping and making them blink automatically with delay
- Program numeric display with understanding of multiple line program
- Learn about digital input to control LED
- Use of libraries and functional definitions
- Understand the concept of IR rays for detection of moving bodies
- Learn calibration of intensity using input signals from manual control mode
- Conditional and logical programming
ARDUINO Level-2
Learning Outcomes:
- Learn to control the light intensity
- Mapping different values to produce tone
- Understand the working of diplays to view the output
- Use of sound frequency to detect obstacles
- Study of temperature sensor
- Understanding the orientation or inclination of an object to control the output
- Speed and direction control of motor using integrated circuit
- Control the position of motor using pulsed input method
PYTHON SYNTAX CODING Level-1
Learning Outcomes:
- Intro on Python, IDLE installation, print and input
- Python syntax, variables, Python data types
- Python numbers, castings and string
- Python booleans and operators
- Python list, tuples and sets
- Python dictionaries, IF ELSE, while loop, FOR loop and statements
- Python functions, Lambda functions, arrays, class and objects
- Python inheritance, iterators and scope
- Python modules, date and JSON
- Python file operations like OPEN, READ, WRITE, DELETE and CREATE
PYTHON SYNTAX CODING Level-2
Learning Outcomes:
- NumPy Intro and overview on basics of Python
- Getting Started with NumPy, creating NumPy arrays and NumPy array indexing
- NumPy array slicing, data types and copy vs view
- NumPy array shapes and array reshape
- NumPy array iterating, array join and array split
- NumPy array search, array sort and array filter
- NumPy random, data distribution, random permutation, Seaborne module, normal distribution
- Binominal distribution, Poisson distribution, Uniform distribution, Logistic distribution, Multinomial distribution and Exponential distribution
- Chi-Square distribution, Rayleigh distribution, Pareto distribution and Zipf distribution
- Projects using NumPy and certification exam
DATA ANALYSIS, PREDICTION VISUALIZATION Level-1
Learning Outcomes:
- Fundamentals of Python programming
- File operations using Python
- Working with data types of Python
- Error and exception management in Python
- Working with functions in Python
- Probability distribution in Python
- Python for Data Visualization
- Python in Data Manipulation
- Machine Learning concepts
DATA ANALYSIS, PREDICTION VISUALIZATION Level-2
Learning Outcomes:
- Overview of Python programming
- Probability distribution in Python
- Python for Data Visualization and manipulation
- Machine Learning concepts
- Machine Learning types
- Linear Regression implementation
- Supervised Learning concepts
- Implementing different types of Supervised Learning algorithms
- Evaluating model output
- Implementing Dimensionality Reduction technique
MACHINE LEARNING
Learning Outcomes:
- Strong foundation & understanding on working of Machine Learning systems
- Learn different algorithms used in machine learning
- Understand how to work with ML library
- Work with ML framework Tensorflow
- Work on different projects during the course like building your own Neural Network, image classification and handwritten digit recognition
