CSCI-GA 1180-001/Summer 2019

Instructor: | Alex Alekseyev |

Lecture: | Mondays, 6:00 pm - 8:20 pm, 60 Fifth Ave, Room C12 |

Instructor office hours: | Mondays, 5:00 pm - 6:00 pm, 60 Fifth Ave, Room 402 |

Tutor and grader: | Sreyas Mohan |

Tutor and grader office hours: | Wednesdays, 11:15 am - 12:15 pm, 60 Fifth Ave, Room C15 |

Thursdays, 5:30 pm - 6:30 pm, 60 Fifth Ave, Room C15 | |

Textbook: | Ernest Davis. Linear Algebra and Probability for Computer Science Applications. A.K. Peters / CRC Press, 2012. |

Prerequisites: | Familiarity with basic programming and mathematical concepts. |

An introduction to theory, computational techniques, and applications of linear algebra, probability, and statistics. These three areas of continuous mathematics are critical in many parts of computer science, including machine learning, scientific computing, computer vision, computational biology, natural language processing, and computer graphics. In addition to problem sets, the course includes programming assignments in Python. No prior knowledge of linear algebra, probability, statistics, or Python is assumed.

Date | Topic | Reading | Homework |
---|---|---|---|

Mon 06/03/2019 | Vectors | Chapter 2 | Homework 1 |

Mon 06/10/2019 | Matrices | Chapters 3, 5 | Homework 2 |

Mon 06/17/2019 | Vector Spaces | Chapter 4 | Homework 3 |

Mon 06/24/2019 | Geometry | Chapter 6 | Homework 4 |

Mon 07/01/2019 | Decompositions | Chapter 7 (not on exams) | Homework 5 (does not affect grade) |

Mon 07/08/2019 |
Midterm Exam |
Chapters 2-6 |
No homework |

Mon 07/15/2019 | Basic Probability | Chapter 8 | Homework 6 |

Mon 07/22/2019 | Random Variables | Chapter 9 | Homework 7 |

Mon 07/29/2019 | Statistical Methods | Chapters 11, 12 | Homework 8 |

Mon 08/05/2019 | Markov Models | Chapter 10 (not on exams) | Homework 9 (does not affect grade) |

Mon 08/12/2019 |
Final Exam |
Chapters 2-6, 8-9, 11-12 |
No homework |