The Advanced Path is the middle path among three of Young Programmer's Paths. It gives a quite wide and deep coverage of the computer science knowledge and skills. The path consists of the following courses:
Math for Computer Science
Python Programming Foundations
C++ Programming Foundations
Algorithms and Data Structures
Operating Systems
Discrete Mathematics
Some of these courses, like the Operating systems and Discrete Mathematics courses, are a mandatory part of any university computer science and engineering program. The importance of the first two courses is explained in Basic Path as they actually form that path. The central course in Advanced Path is the C++ Programming Foundations course.
Duration: 50 classes
Tuition fee: AED 750 per 8 class + 2 free classes
For more information please refer to our Frequently Asked Questions page.
Operating Systems (90%): C++ is fundamental for kernel development (MacOS and Windows).
Databases (85%): Performance-critical databases rely heavily on C++.
Browsers (80%): Rendering engines are often written in C++ for speed.
Machine Learning Tools (75%): Core calculations in frameworks like TensorFlow.
Fintech and Banking (70%): Back-end systems for transaction processing.
Game Development & AR/VR (95%): Dominant for high-performance graphics and real-time processing.
Embedded Systems & IoT (90%): Essential for low-level control and resource management.
GUI-based Apps (60%): Used with various frameworks for native and cross-platform applications.
Cloud and Distributed Systems (80%): Crucial for performance and portability in cloud infrastructure.
"When you need to squeeze every ounce of performance out of your hardware, C++ is the language you turn to." - Attributed to various HPC developers and engineers.
"C++ is about resource management. It's about being able to control the hardware, control the memory, control the threads, and control the timing. It's about being able to build systems that are both powerful and efficient." - Herb Sutter
"C++ was designed to provide abstractions that are both efficient and elegant. It allows programmers to work at a high level of abstraction without sacrificing the performance needed for demanding applications. This makes it particularly well-suited for systems where performance is critical." - Bjarne Stroustrup
Resource Management: Understand how memory, processes, and files are handled, leading to efficient code.
System-Level Programming: Enables direct hardware interaction for drivers, embedded systems, and performance optimization.
Enhanced Application Development: Leverage OS APIs, concurrency, and security for robust applications.
Computer Architecture Understanding: Grasp hardware abstraction, system calls, and interrupts for deeper system knowledge.
Better Software Design: Apply modularity, resource efficiency, and robustness principles from OS concepts.
Career Advancement: Opens doors to system programming, performance engineering, and security roles.
Algorithm Design: Provides the foundation for analyzing algorithm efficiency (time/space complexity) and correctness.
Data Structures: Essential for understanding and implementing data structures like graphs, trees, and sets.
Logical Reasoning: Sharpens skills in formal logic, proofs, and problem-solving, crucial for debugging and code verification.
Database Theory: Underpins relational database concepts, query optimization, and data modeling.
Cryptography: Fundamental for understanding encryption, security protocols, and secure communication.
Network Analysis: Used in modeling and analyzing network topologies and data flow.