Career Advancement Programme in Information Theory and Coding Shannon's Theorem

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The Career Advancement Programme in Information Theory and Coding, focusing on Shannon's Theorem, is a certificate course designed to empower learners with essential skills for career growth in the data-driven industry. This programme delves into the fundamental principles of information theory, established by Claude Shannon, and coding techniques that have become crucial in the era of big data.

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About this course

In today's digital world, the demand for professionals with a deep understanding of information theory and coding theory has surged across various sectors, including telecommunications, data storage, digital media, and artificial intelligence. This course equips learners with the knowledge to tackle complex data processing and communication challenges, providing a competitive edge in their careers. By the end of the programme, learners will have gained a firm grasp of Shannon's Theorem, data compression, error-correcting codes, and other advanced topics, enabling them to excel in roles such as Data Scientist, Communications Engineer, or Information Security Analyst, among others.

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Course details

• Introduction to Information Theory and Coding
• Historical Background: Claude Shannon and his Theorem
• Measures of Information: Entropy and Mutual Information
• Data Compression: Huffman Coding and Lempel-Ziv Coding
• Channel Capacity and Shannon's Theorem
• Error Detection and Correction Codes: Cyclic Redundancy Check and Hamming Code
• Channel Coding Theorem: Probability of Error and Coding Gain
• Source Coding Theorem: Efficiency and Redundancy
• Information Theory Applications in Telecommunications and Data Storage

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