DESCRIPTION

This course introduces learners to the fundamental understandings of Cyber Security – an emerging trend in Computer Science and Engineering. Through the theoretical lectures and hands-on practices, students will learn how networked systems function, how to detect computer vulnerabilities, how to launch attacks and defend themselves from attacks, and how to protect themselves from Cyber Security threats.

Ages: 15+

Skill Level: Beginner – Intermediate

Prerequisites: None

Software: Linux OS

LEARNING OUTCOMES ​

By the end of this course, students will achieve:

• Basic programming skills with Bash scripting
• Familiarity with the Linux Operating System, being able to work on and operate the Linux command line
• Fundamental knowledge about networked systems and devices
• Knowledge and practical skills to detect vulnerabilities, to analyze network traffic, and to hack computer systems and wireless networks
• Understanding and hands-on experience on how to launch cyber attacks (e.g., Brute Force,…), and defend against attacks
• Knowledge about compromising and protecting data

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Cyberium – Learn Ethical Hacking through the Think Cyber Cyberium platform. As you develop new skills, the Cyberium Gym provides focused practice and security simulations to ground you in real situations.

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Going for CCNA and MCSA before starting with a cyber security studies will surely aid your understanding in cyber security. To acquire CCNA or MCSA certification, you would need an understanding of networking and the operating systems. But not here at Tokyo Techies as we can guide you through this process with our cyber security experts.

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Take a wild and fascinating journey into the cyber security discipline of web application penetration testing. This advanced course will be very hands-on and require that you set up your own pentesting environment. You’re also expected to have a basic understanding of Linux and be comfortable working with the command line.

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DIFFICULTY

DESCRIPTION

In this class, students will learn the basics of circuitry and robotics by building their own motor control system and operate through Arduino platform, a simplified version of C programming.  This course is ideal for students who want to experiment and work with their hands while learning some coding.

Ages: 8+
Skill Level: Beginner – Intermediate
Prerequisite:    None
Software: Arduino

LEARNING OUTCOMES

​By the end of this course, students will:

● Successfully navigate the world of robotics
● Understand how to create and modify electronic circuits
● Combine circuitry and programming in Arduino
● Increase problem solving skills and critical thinking
● Create your own robot and take it home

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DIFFICULTY

DESCRIPTION

In this class, students build increasingly advanced robotics platforms. Students will construct and program a self-driving vehicle capable of sensing and steering itself around objects.

Ages: 8+
Skill Level: Beginner – Intermediate
Prerequisite:  Robotics Level 1
Software: Arduino

LEARNING OUTCOMES ​

By the end of this course, students will:

● Continue their inquiry into the world of robotics
● Understand, install, and program proximity sensors
● Learn to code if-else logic
● Increase problem solving skills and critical thinking
● Take a vehicular robot home!

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DIFFICULTY

DESCRIPTION

ROS – Robot Operating System – is like the Linux of robots. Most of the world’s robots are now powered by ROS as the middleware both in industry and academia. In this course students will learn about how to use ROS to program real or simulated robots. ROS comes with a very large and diverse set of functions that make it straightforward for programming robots and all of these will be taught in this course.

PREREQUISITES

● Age: 15+

● Basic robotics knowledge (sensors, actuators etc)

● Working knowledge of C++ or Python

● Some Linux experience

* For students not meeting any prerequisite, extra add-on courses can be taken prior to the ROS course

LEARNING OUTCOMES

By the end of this introductory course, student will:

● Understand what middleware means

● Learn what capabilities ROS provides and what ROS is

● Practice installing ROS on a Linux machine

● Understand the difference between centralized and distributed robot control

● Know what roscore is

● Be able to create basic ROS packages

● Learn what nodes, topics, publishers and subscribers are

● Write code for basic publishers and subscribers

● View and display real time data streamed by various sensors

● Control robots in a simulated environment

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DIFFICULTY

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DIFFICULTY

DESCRIPTION

The ultimate goals for the 10-week program are to expose students to the field of data science and give them hands-on experience gathering and analyzing data, whether from social media (e.g., Twitter), financial markets (i.e. the stock market) or anywhere else. Students would take an introductory course for ~2 months, then propose their own independent work (they can collaborate with other students as well).

Ages: 12+
Skill Level: Beginner – Intermediate
Prerequisite:    None
Software: Python, R

LEARNING OUTCOMES ​

By the end of this course, students will:

● Have a primer on statistics
● Harvest data from public sources
● Construct their own databases
● Conduct analysis using statistical software
● Select the most effective visualization techniques to pull insight from noise.

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DIFFICULTY

DESCRIPTION

This course is designed for beginners to learn about the role big-data plays in this world, how to write programs in Python and apply certain machine learning algorithms to analyzes the data and make prediction about the future.

Ages: 15+
Skill Level: Beginner – Intermediate
Prerequisite:    None
Software: Python

LEARNING OUTCOMES ​

By the end of this course, students will:

● Gain familiarity with Python
● Understand how to use external libraries to make richer applications
● Learn how to visualize data to maximize ability to find patterns
● Use supervised learning algorithms to find these patterns and make predictions about future data
● Learn about measuring and visualizing error of model
● Have the tools to analyze data on third-party datasets

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DIFFICULTY

DESCRIPTION

This course introduces learners to the fundamental understandings of Machine Learning – one of the hottest trends in Computer Science and Engineering now a days. Through the theoretical lectures and hands-on practices, students will learn how to analyze, pre-process data, build and apply Machine Learning models and algorithms to solve practical problems e.g., to predict/classify future outcomes of academic and business data.

● Ages: 18 or above

● Skill Level: Beginner -Intermediate

● Prerequisite: Python Basic / None

● Language: Python

LEARNING OUTCOMES ​

By the end of this course, students will achieve:

● Intermediate – Advanced programming skills with Python.

● In-depth understanding of Machine Learning algorithms (Regression, SVM, Decision Tree, K-Nearest Neighbor,…)

● Knowledge and practical skills on how to analyze, pre-process, visualize data using advanced tools and libraries.

● Understanding and hands-on experience in how to build Machine learning models, train the models with real datasets and apply them to solve practical problems (predictions of future outputs, classifications of future samples,…).

● Methods to calculate, visualize model errors, and evaluate the built Machine learning models.

● Ability to work on custom Machine Learning projects.

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DIFFICULTY

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DIFFICULTY

DESCRIPTION

The ultimate goals for the 10-week program are to expose students to computer science and give them hands-on experience with Python/Java/Javascript/Swift coding to solve real-world problems.

Ages: 10+
Skill Level: Beginner – Intermediate
Prerequisite:    None
Language choices: Python/Java/Javascript/Swift
Software: NetBeans, Jupyter Notebook, Visual Studio Code and more

LEARNING OUTCOMES ​

By the end of this course, students will:

● Understand basic computer science concepts
● Be familiar with a specific programming language
● Be able to attend online coding challenges for beginners
● Be well prepared for further self-study in computer science and software engineering
● Be well prepared for AP computer science tests

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DIFFICULTY

DESCRIPTION

In this course students will learn the basics of programming using the popular game Minecraft and the free programming language Python.

Python is a general-purpose, powerful yet easy-to-learn and a very popular programming language. It’s an ideal first language because it is concise and easy to read. All the basic concepts of programming – variables, variable declaration, syntax rules, data types, expressions and statements, mathematical and logical operators, repetition structures and functions will be taught using Minecraft. Students will be able to apply the programming concepts they learn to creating Minecraft games.

Ages: 9+
Duration: 8 classes
Skill Level: Beginner – Intermediate
Prerequisite:    None
Software: Python, Minecraft

LEARNING OUTCOMES ​

By the end of this course, students will:

● Learn about how variables are used to store data in programs and use it for teleportation
● Learn how to implement mathematical statements in Python
● Use strings to write programs that deliver messages to players
● Build worlds in Minecraft and navigate inside of them
● Use Booleans and logic to make their programs answer questions and make decisions

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DIFFICULTY

DESCRIPTION

This is the follow up course to the “Minecraft 1: Mod Programming ​with Python” course. The core focus of this course will be the application of concepts learned in the first course to make large scale games.
​Students will be using the programming concepts they gained in the first course to make full interactive games programmatically. They will learn how to make complex buildings such as castles complete with moats and perimeter walls. For this they will learn how to apply concepts such as functions and repetition structures they learned in the first course. They will also be making a fun block smashing game in which they have to smash blocks with hammers as the blocks light up randomly in order to score points.

Ages: 9+
Duration: 8 classes
Skill Level: Beginner – Intermediate
Prerequisite:  Minecraft Level 1
Software: Python, Minecraft

LEARNING OUTCOMES ​

By the end of this course, students will:

● Learn how to apply basic programming concepts for making games
● Understand how functions are used in making full games
● Learn how functions can be reused using repetition structures
● Learn how complex structures can be made

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DIFFICULTY

DESCRIPTION

This course is designed to give students necessary knowledge and skills to develop a complete, working application running on iOS devices from scratch over the span of 10 lessons. One of the goals is to help students to feel the sense of the joy and fun in mobile app programming. Students from novice to advanced programming skill levels are welcomed.

Ages: 10+
Duration: 10 lessons
Skill Level: Beginner – Intermediate
Prerequisite:  An Apple ID, a Mac with OS X 10.12 or newer
Software: Xcode (latest version)

LEARNING OUTCOMES ​

By the end of this course, students will:

● Understand basic computer science concepts
● Be familiar with Swift programming language
● How to use Xcode to write a program in Swift
● How to use UI components to create a working a mobile game from scratch using Swift

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DIFFICULTY

DESCRIPTION

This is the follow up course to the course “Mobile programming with Swift – Level 1”. It will introduce to the students more computer science concepts and iOS SDK components to build the “five in a row” game for 2 players. In this game, there is also a basic algorithm implemented to detect the game over status.

Ages: 10+
Duration:  10-12 lessons ( Depending on students’ speed)
Skill Level: Intermediate
Prerequisite: Mobile programming with Swift – Level 1
Software: Xcode (Latest version)

LEARNING OUTCOMES ​

By the end of this course, students will:

● Understand more basic computer science concepts
● Become familiar with coding and debugging in Xcode
● Use multiple screens and built-in UI components to create a working a mobile game from scratch
● Use Xcode to deploy the game to real devices

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DIFFICULTY

DESCRIPTION

This is an advanced programming course in which students will learn advanced computer science concepts, algorithms and iOS development techniques to build a chess game having 2 modes: human vs human and human vs AI bot.
Ages: 15+
Duration: 15+ lessons ( Depending students’ speed)
Skill Level: Advanced
Prerequisite: Mobile programming with Swift – Level 2
Software: Xcode (Latest version)

LEARNING OUTCOMES ​

By the end of this course, students will learn:

● Advanced computer science concepts
● Algorithms & Chess programming techniques
● More built-in iOS SDK components
● How to use Git to manage the source code versions
● How to utilize open source to self-study efficiently and develop products more quickly

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DIFFICULTY

DESCRIPTION

This course introduces learners to the fundamentals of game design and programming using Python. This course will contain three level based on the complexity of the code built, starting from basic level to advanced level. Each level will exploit a different Python library to create different games. Each level will go through game design cycle, starting with creating a game concept > designing the game art and tools > developing the game > testing the game and finally deploy the game.

Ages: 10+

Skill Level: Beginner – Intermediate

Prerequisite: Python Basics / None

Software: Python

LEARNING OUTCOMES ​

By the end of this course, students will achieve:

• A complete understanding of Python programming language structure and interactions
• The ability to build simple to advanced, 2D and 3D games using different Python libraries
• Build interactive GUIs (Graphical User Interfaces) using Python
• Fully understand the process of game design starting from coming up with a game concept to fine tuning the game

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