Computer Science courses are designed in a cumulative way, meaning that each subject builds on concepts introduced earlier. When a student does not fully understand Programming Basics, it becomes difficult to progress in Object-Oriented Programming (OOP). This gap then grows larger when moving to more advanced subjects such as Data Structures, Algorithms, Operating Systems, and Artificial Intelligence.
One of the most common problems students face is not the complexity of the subject, but the teaching approach. Many courses focus heavily on theory without sufficient practical explanation. As a result, students memorize syntax or definitions without understanding how or why things work. This leads to confusion when they are asked to solve problems or write code independently.
Another challenge is the pace of university courses. Lectures often move quickly, leaving little time to revisit weak points or ensure full understanding. Over time, these small gaps accumulate and make advanced topics feel overwhelming.
With a structured learning approach that focuses on fundamentals, real-world examples, and step-by-step problem solving, Computer Science subjects become much more approachable. When students understand the logic behind concepts, they gain confidence and are able to apply their knowledge effectively in exams and practical projects.