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• Select section General

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  General

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  • Select activity Course Description

    BCH2202 Introduction to Programming in R (Winter 2023)

    In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming. 

    This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI.

    Enseignant: Erik Spence

    Date de début: : 8 févr. 2023

    Date de fin: : 26 avr. 2023

    Nombre de crédits - calcul scientifique: 9

    Nombre de crédits - science des données: 9

    Événements:

    BCH2202 - Lecture 1 - mercredi 8 février, 09:00 » 10:00

    BCH2202 - Lecture 2 - mercredi 15 février, 09:00 » 10:00

    BCH2202 - Lecture 3 - mercredi 22 février, 09:00 » 10:00

    Une liste complète des événements du cours peut être trouvée ici ici.
  • Select activity Announcements

    

    Announcements Forum
  • Select activity Student forum

    

    Student forum
• Select section Lectures

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  Lectures

  • Select activity 1. Introduction to R

    

    1. Introduction to R File
  • Select activity 2. Functions

    

    2. Functions File
  • Select activity 3. Data frames

    

    3. Data frames File
  • Select activity 4. Loops and conditionals

    

    4. Loops and conditionals File
  • Select activity 5. Coding best practices

    

    5. Coding best practices File
  • Select activity 6. Visualization

    

    6. Visualization File
  • Select activity 7. Linear models

    

    7. Linear models File
  • Select activity 8. Classification

    

    8. Classification File
  • Select activity 9. Neural networks

    

    9. Neural networks File
  • Select activity 10. Sequences

    

    10. Sequences File
  • Select activity 11. Alignment

    

    11. Alignment File
  • Select activity 12. Phylogenetic trees

    

    12. Phylogenetic trees File
• Select section Recordings

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  Recordings

  • Select activity 1. Introduction to R

    

    1. Introduction to R File
  • Select activity 2. Functions

    

    2. Functions File
  • Select activity 3. Data frames

    

    3. Data frames File
  • Select activity 4. Loops and conditionals

    

    4. Loops and conditionals File
  • Select activity 5. Coding best practices

    

    5. Coding best practices File
  • Select activity 6. Visualization

    

    6. Visualization File
  • Select activity 7. Linear Models

    

    7. Linear Models File
  • Select activity 8. Classification

    

    8. Classification File
  • Select activity 9. Neural networks

    

    9. Neural networks File
  • Select activity 10. Sequences

    

    10. Sequences File
  • Select activity 11. Alignment

    

    11. Alignment File
  • Select activity 12. Phylogenetic trees

    

    12. Phylogenetic trees File
• Select section Assignments

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  Assignments

  • Select activity Assignment 1

    

    Assignment 1

    Opened: Wednesday, 15 February 2023, 9:30 AM

    Due: Wednesday, 22 February 2023, 11:59 PM
  • Select activity Assignment 2

    

    Assignment 2

    Opened: Wednesday, 1 March 2023, 9:30 AM

    Due: Wednesday, 8 March 2023, 11:59 PM
  • Select activity Assignment 3

    

    Assignment 3

    Opened: Wednesday, 15 March 2023, 9:30 AM

    Due: Wednesday, 22 March 2023, 11:59 PM
  • Select activity Assignment 4

    

    Assignment 4

    Opened: Wednesday, 29 March 2023, 9:30 AM

    Due: Wednesday, 5 April 2023, 11:59 PM
  • Select activity Assignment 5

    

    Assignment 5

    Opened: Wednesday, 12 April 2023, 9:30 AM

    Due: Wednesday, 19 April 2023, 11:59 PM
  • Select activity Assignment 6

    

    Assignment 6

    Opened: Wednesday, 26 April 2023, 9:30 AM

    Due: Wednesday, 3 May 2023, 11:59 PM