Call Number | 11138 |
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Day & Time Location |
TR 5:30pm-8:40pm ONLINE ONLY |

Points | 3 |

Grading Mode | Standard |

Approvals Required | None |

Instructor | George Dragomir |

Type | LECTURE |

Method of Instruction | On-Line Only |

Course Description | Linear algebra with a focus on probability and statistics. The course covers the standard linear algebra topics: systems of linear equations, matrices, determinants, vector spaces, bases, dimension, eigenvalues and eigenvectors, the Spectral Theorem and singular value decompositions. It also teaches applications of linear algebra to probability, statistics and dynamical systems giving a background sufficient for higher level courses in probability and statistics. The topics covered in the probability theory part include conditional probability, discrete and continuous random variables, probability distributions and the limit theorems, as well as Markov chains, curve fitting, regression, and pattern analysis. The course contains applications to life sciences, chemistry, and environmental life sciences. No a prior i background in the life sciences is assumed. This course is best suited for students who wish to focus on applications and practical approaches to problem solving. It is recommended to students majoring in engineering, technology, life sciences, social sciences, and economics. Math majors, joint majors, and math concentrators must take MATH UN2010 Linear Algebra, which focuses on linear algebra concepts and foundations that are needed for upper-level math courses. MATH UN2015 (Linear Algebra and Probability) does NOT replace MATH UN2010 (Linear Algebra) as prerequisite requirements of math courses. Students may not receive full credit for both courses MATH UN2010 and MATH UN2015. |

Web Site | Vergil |

Subterm | 05/22-06/30 (A) |

Department | Summer Session (SUMM) |

Enrollment | 14 students (30 max) as of 9:06PM Thursday, June 13, 2024 |

Subject | Mathematics |

Number | UN2015 |

Section | D01 |

Division | Summer Session |

Campus | Morningside |

Section key | 20232MATH2015WD01 |