### Syllabus and Exam Weightage for Class 11 Informatics Practices

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Unit 1. Programming and Computational Thinking
Unit 2. Data Handling - 1
Unit 3. Data Management - 1
Unit 4. Society, Law and Ethics - 1

Computational thought is one of those modern buzzwords of the 21st century that have been gaining more popularity in recent years. Some people argue that it should become an important aspect of primary education, some don't recognize this skill's added value, and others have never even heard of the term computational thinking. So, what is all about computational thinking and why is it important to include this skill in the primary education curriculum?

What is Computational Thought?
Computational thinking (CT) means only understanding how a computer' thinks' and how to work with it to achieve a desired goal. Computers are very smart, fast machines that can do things that are more complex than humans could ever do. If we don't say exactly what to do to these machines, however, they just stop working and generate an irritating list of errors. One very simple example can illustrate this. Let's say we want to draw a nice image of a house with some software on the screen. The attractive way to do this is to say: well computer, draw me a nice house, especially for kids. But a house isn't a general form that everyone perceives the same, which is why the machine doesn't know what to do with this abstract order. For example, we could tell the computer to draw a yellow square at the bottom of the canvas and draw a red rectangle above it. Mathematical formulas can describe these shapes easily, so the computer knows what to do with these commands. The better we specify square and triangle characteristics, the more the final image will be aesthetically pleasing. So, the abilities of the programmer affect the performance of the machine. This is the purpose of computational thought, and why it is so necessary.

Computational reasoning includes a lot of specific competencies. The most significant is being able to break up a complex issue into smaller, more straightforward measures. This is also demonstrated in the above illustration, as we split the problem of drawing a house into smaller problems: drawing a generally known shape at a specific location with a certain size and color.