Master core computer science with electronics, C++, logic circuits & data structuresβtaught by real university professor
What you will learn
Understand how computers communicate, calculate, and execute operations at the lowest level.
Learn the fundamentals of computer arithmetic, including signed and unsigned binary operations.
Master Boolean algebra and logic used in digital computing and circuit design.
Explore core electronics concepts such as capacitors, inductors, and power consumption in hardware.
Analyze how transistors, MOSFETs, and CMOS switches work in modern CPUs.
Build and understand logic circuits, including adders and combinational logic.
Gain deep proficiency in C++ programming, including variables, loops, enums, and data types.
Learn memory management using pointers, arrays, references, and dynamic memory allocation.
Work with data structures like ADTs, linked lists, vectors, and templates in real-world scenarios.
This is not the full listβyou will learn much more inside the course. Check it out and explore your full potential.
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- Delve into the foundational architecture of modern computing systems, bridging the gap between theoretical CS concepts and their physical realization.
- Develop an intuitive grasp of how software instructions translate into tangible electrical signals and vice versa.
- Acquire a robust understanding of digital signal representation and manipulation, essential for efficient algorithm implementation.
- Explore the physics behind computation, understanding the fundamental building blocks that enable processing power.
- Learn to design and analyze elementary digital circuits, gaining insight into the hardware that executes your code.
- Become adept at optimizing C++ code by understanding its memory footprint and execution flow at a granular level.
- Master techniques for efficient data organization and retrieval, crucial for tackling complex computational problems.
- Develop the ability to debug and troubleshoot code with a deeper understanding of potential hardware-level interactions.
- Cultivate a hardware-aware programming mindset, leading to more performant and resource-conscious software.
- PROS:
- Gain a unique competitive edge in the job market by possessing both software and fundamental hardware knowledge.
- CONS:
- Requires a significant commitment to conceptual abstraction across disciplines, demanding focused study.
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