Syllabus for Test2
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Running time of an algorithm.
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Best, worst and average case complexity of algorithms.
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Comparison of running times of different algorithms.
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Exact analyis of algorithms
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Insertion sort in detail
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Growth of functions
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Oh notation
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Theta notation
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Omega notation
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Theorem 1, 2, 3 and 4
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Bubble sort in detail
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Horner's rule
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Fibonacci sequence
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Properties of asymptotic notations