Our comprehensive computer science program is carefully designed by professors and scientists from the United States to give students a well-rounded understanding of the field. It covers a wide range of exciting subfields, including software, hardware, networking, robotics, Artificial Intelligence, and much more!
The curriculum is designed to make learning both fun and manageable and for this reason is divided into 12 modules, each focusing on different aspects of learning, so students can move through the program at a comfortable pace. Classes are conducted through hourly online live lectures by expert faculty, scheduled after school hours for convenience, in a kid-friendly way, with exciting projects and hands-on exercises that help solve real-world problems.
We believe in a real-world, project-based approach to learning, where students work on hands-on projects to apply what they've learned. To help reinforce the lessons, we provide supplemental lecture videos, projects, and assignments for further learning. Students also receive progress reports, and they have opportunities to showcase their project work, so they can take pride in what they've accomplished.
Our program encourages students to go beyond the lessons taught in class by exploring books and academic journals, inspiring them to keep learning on their own. Our teachers are always there to provide extra help whenever it's needed.
To make sure everyone is on track, we have a reliable system to assess how well students are grasping the material. Plus, we stay in touch with parents regularly to keep them updated on their child's progress.
Best of all, this international program is offered at an affordable cost, making it accessible for all students eager to explore the world of computer science!
Lastly, we offer career guidance to help students with admissions and job opportunities, supporting them every step of the way!
CoderOgres' program is designed to introduce Computer Science to 12 yo+ students. There are multiple reasons why a young mind should be exposed to Computer Science.
The introductory module provides students with the necessary concepts to get started with computer science. Fundamental topics like bits, bytes, data types, memory, communication, control flow, variables, and values are introduced and explained with examples. This module includes a variety of turtle practice exercises to reinforce the concepts learned throughout the module.
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This module is designed to provide students with the skills and knowledge necessary to develop Roblox games with the help of the Lua Programming Language. During this process, students learn how to do 3D modeling and scene graph designing, writing, testing, and debugging simple Lua scripts. At the end of the module, students will be ready to share, demonstrate, and play the games they designed.
This module teaches data structures and algorithms that are relevant for solving real world problems with programming and computers. Students will be able to identify appropriate algorithms given a problem and a scenario and write software to solve it. With the instilled problem solving skills, students will be ready to take coding interview challenges.
This module on Software Construction covers a wide range of topics related to software construction, systems, and data processing. It covers a variety of fundamental topics including data representations, the compilation process, memory hierarchies, instruction sets, file systems, ssh, processes, threads, logging, virtualization, bash, git, and data visualization.
Although the world wide web was invented for sharing files and documents, as of late it is being used for hosting interactive web-browser-based, machine-agnostic applications and we no longer need to download and run executables. This module teaches the technologies that enable us to develop such web applications. It also provides hands-on experience in creating basic web apps.
Since the Web is a network of connected computers, this module first teaches how computers can communicate with each other. It builds upon Module 5 to teach more advanced technologies needed to develop web applications that require storage. It also provides hands-on experience in creating sophisticated, secure web apps and deploying them for the world to use.
The module teaches the technology related to building modern computers. It focuses on the interface between software and hardware. It also introduces operating system (OS) concepts and how an OS provides an efficient interface for user application programs to access hardware resources.
The module builds upon the concepts learned in Module 7. It teaches Operating System virtualization with industry standard tools like docker and Kubernetes. It covers cloud computing concepts with hands-on experience with AWS. It also focuses on building a computer from parts.
Applications of machine learning have started shaping the current computation infused economy, and our daily routines. This module prepares students for a deeper understanding of advanced ML. It introduces the motivation behind ML. It teaches the basic mathematics required to understand ML algorithms. It also provides hands-on programming experience with ML-related tools in the Python ecosystem.
This module builds on Module 9 to teach practical ML techniques that can be applied to real world datasets in multiple domains. The module covers a range of topics from linear classification and perceptrons to decision trees and random forests. It teaches the students to correctly apply ML, interpret results and refine the models. The highlight of the module is a real-world classification project on tabular data that allows students to apply the concepts they have learned in a practical setting.
This module introduces computer vision and deep learning, covering a variety of essential topics to provide students with the knowledge and practical skills needed to succeed in this exciting field. Students will learn about the history of computer vision and image formation, as well as practical skills like edge detection, image features, SIFT, image matching, and image segmentation. The course also introduces linear programming, tensors, and GPUs, before delving into the essential concepts of perceptrons and neural networks. The module also introduces PyTorch and covers the essential steps for preparing datasets, building, training, testing, and validating models. The highlight of the module is a practical image classification project using PyTorch, which lays a strong foundation in both theory and practical applications.
Robotics is a field of immense importance in the 21st century. This module is designed to provide students with a comprehensive understanding of the fundamentals of robotics. Students will learn to apply concepts such as voltage, current, and power throughout the module. They will also gain practical skills through the design, planning, and construction of an autonomous robot. Additionally, students will learn to interpret sensor data using signal processing techniques and gain a thorough understanding of the different components and assembly steps required for building a robot. The module covers various SoC (System on Chip) options and the selection of electrical motors used in robotics. Students will learn to use a camera for control, practice debugging techniques, and set up a line following an autonomous robot.