October,2022 | |
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4 Oct 9:00 am 10:30 am## MSC1090: Lecture 7The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

6 Oct 10:20 am 11:50 am## MSC1090: Lecture 8The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

11 Oct 9:00 am 10:30 am## MSC1090: Lecture 9The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

13 Oct 10:20 am 11:50 am## MSC1090: Lecture 10The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

18 Oct 9:00 am 10:30 am## MSC1090: Lecture 11The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

20 Oct 10:20 am 11:50 am## MSC1090: Lecture 12The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

25 Oct 9:00 am 10:30 am## MSC1090: Lecture 13The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

27 Oct 10:20 am 11:50 am## MSC1090: Lecture 14The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

November,2022 | |

1 Nov 9:00 am 10:30 am## MSC1090: Lecture 15The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

3 Nov 10:20 am 11:50 am## MSC1090: Lecture 16The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

8 Nov 9:00 am 10:30 am## MSC1090: Lecture 17The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

10 Nov 10:20 am 11:50 am## MSC1090: Lecture 18The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

15 Nov 9:00 am 10:30 am## MSC1090: Lecture 19The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

17 Nov 10:20 am 11:50 am## MSC1090: Lecture 20The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

22 Nov 9:00 am 10:30 am## MSC1090: Lecture 21The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

24 Nov 10:20 am 11:50 am## MSC1090: Lecture 22The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

29 Nov 9:00 am 10:30 am## MSC1090: Lecture 23The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. GB244 | MSC1090 - Fall 2022 |

December,2022 | |

1 Dec 10:20 am 11:50 am## MSC1090: Lecture 24The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. BL205 | MSC1090 - Fall 2022 |

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