304 Computer Science & Engineering (CSE) courses

Unreal Engine 4: The Complete Beginner's Course teaches you the fundamentals of video game development using Unreal Engine 4. Whether you have prior programming knowledge or not, this course will help you leverage the cutting-edge 3D game design software in developing the video games you always wanted.

This concise and comprehensive course takes you through the basic and advanced topics of Ansible, explaining all the concepts clearly and thoroughly. You will not only master the concepts but also learn how to use Ansible with cloud services and containers.

Learn to apply sentiment analysis to your problems through a practical, real-world use case.

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects

Build a 3D endless runner game with Unity and C# and create a hyper casual runner game for mobile and PC

Learn Blender 3D modeling, animation, UV mapping, and texture painting; build game assets; and learn 3D Game Development with Unity

Build modern, flexible, and extensible APIs with GraphQL and Apollo

Get to grips with Java design patterns and write robust and extensible software

Master Angular and Dart (AngularDart) and build high-performance, flexible, and dynamic web apps

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.