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| September,2023 | |
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26 Sep 9:00 am 10:30 amMSC1090 lecture 5The 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
28 Sep 9:00 am 10:30 amMSC1090 lecture 6The 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
| October,2023 | |
3 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
5 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
10 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
12 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
17 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
19 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
24 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
26 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
31 Oct 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
| November,2023 | |
2 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
7 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
9 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
14 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
16 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
21 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
23 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
28 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |
30 Nov 9:00 am 10:30 amMSC1090 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 SS1085. 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. SS1085 | MSC1090 - Fall 2023 |

