About Course

This course introduces students to the foundational concepts and techniques used in algorithmic problem-solving, with a focus on understanding computational power and efficiency. Students will gain hands-on experience with essential programming constructs and problem-solving strategies through topics such as bit manipulation, loop structures for generating patterns, recursive algorithms, and array manipulation. The course also covers techniques for analysing the frequency of elements in data sets and string manipulation fundamentals. The course aims to develop students' analytical and problem-solving skills applicable to real-world scenarios.

Course Syllabus

Understanding Computing Power:

Interpreters vs Compilers, Hardware Operations, Computing Power, Time and Space Limits for Programs, Bits/Bytes, 32bit vs 64bit architecture, One’s Complement and Two’s Complement.

Programming Basics:

Reading Input, writing output, if-else, loops, Pattern Printing, Creating and Accessing Array Elements, Functions.

Bit Manipulations:

Bitwise Operators (&, |, ^, ~, «, »), Effect of n&1, n&(n-1), (a ^ a)^b.

Recursion:

Identifying Base case and General Case, Types of Recursions.

Arrays:

Definition, creating 1D array, accessing array elements, Permutations and combinations.

Frequency logic:

fundamental concept used in many algorithms and problem-solving techniques. It helps you count how often elements appear in a collection.

Strings:

CreatingStrings, Ascii representation of characters.

Syllabus

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