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    By the end of this module, you will be able to:
    •Outline the concept of the information-theoretic lower bounds
    •Describe the procedure for deriving lower bounds for compression problem and randomness generation
    •Discuss the relationship between Shannon's source coding and Shannon entropy
    •Explain the process for deriving lower bounds for random number generation
    •Summarize the theorems of strong converse for source coding
    •Identify the methods of deriving minmax lower bound for statistical estimation
    •Recognize the significance of empirical mean in deriving a lower bound