# Information Theory

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Rating | 1.6★ based on 3 ratings |
---|---|

Length | 16 weeks |

Starts | Mar 4 (3 weeks ago) |

Cost | $49 |

From | The Chinese University of Hong Kong via Coursera |

Instructor | Prof. Raymond W. Yeung |

Download Videos | On all desktop and mobile devices |

Language | English |

Subjects | Data Science Mathematics |

Tags | Data Science Math And Logic Probability And Statistics |

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## What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

**as peer assignment**
in one review

All the homework is made as peer assignment instead of quizzes.

**book read out**
in one review

The lecture videos is just the proves from the book read out.

**interactions among participants**
in one review

It seems this course is abandoned by the organizers.We finished the first week, when usually there are a lot of interactions among participants and the discussion forum has only 4 messages that were dropped a lot of time ago, and none of them were answered or replied.

**some major problems**
in one review

A very difficult course with some major problems.

**2.4 then theorem**
in one review

Formula 2.3, then 2.4 then theorem 2.5 etc etc.

**answered or replied**
in one review

## Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

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Math and Music Theory Specialist $52k

Clinical & Theory Instructor $56k

Belmont Academy Theory & Aural Skills Teacher $61k

Theory-seasonal sales Manager $69k

Program Manager, Political Theory Project $74k

Associate Professor of Bassoon and Music Theory $88k

Scientist - Modeling and Theory $90k

Assistant Professor of Music Composition and Theory $138k

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## &

Rating | 1.6★ based on 3 ratings |
---|---|

Length | 16 weeks |

Starts | Mar 4 (3 weeks ago) |

Cost | $49 |

From | The Chinese University of Hong Kong via Coursera |

Instructor | Prof. Raymond W. Yeung |

Download Videos | On all desktop and mobile devices |

Language | English |

Subjects | Data Science Mathematics |

Tags | Data Science Math And Logic Probability And Statistics |

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