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| September,2023 | |
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12 Sep 9:00 am 10:30 amMSC1090 lecture 1The 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 Sep 9:00 am 10:30 amMSC1090 lecture 2The 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 Sep 9:00 am 10:30 amMSC1090 lecture 3The 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 Sep 9:00 am 10:30 amMSC1090 lecture 4The 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 |

