R/utoronto_radford_csc120/index.html

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   3 <TITLE> CSC 120 - Computer Science for the Sciences (R section, L0201)
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   7
   8 <H1> CSC 120 - Computer Science for the Sciences (R section, L0201,
   9      Jan-Apr 2016) </H1>
  10
  11 <B>The handout for Assignment 1 is now available below, and a
  12 clarifying note is also below.  Note that it is due at the start of
  13 lecture February 26, three days later than originally scheduled.
  14
  15 <P>Office hours on February 25 will be from 2:30 to 3:30.
  16
  17 <P>Remember that there is a Quiz on February 26!
  18
  19 <P>INSTRUCTION FOR HANDING IN ASSIGNMENT 1:
  20
  21 <P>You should hand in your assignment by emailing it to<BLOCKQUOTE>
  22 <TT>radford@cdf.utoronto.ca</TT>
  23 </BLOCKQUOTE>
  24
  25 <P>You should NOT email your assignment to any other email address.
  26 In particular, you should NOT send it to my regular email address for
  27 other course correspondence.
  28
  29 <P>Your email should have the following subject line:<BLOCKQUOTE>
  30 <TT>A1, 9999999999, Lastname, Firstname</TT>
  31 </BLOCKQUOTE>
  32 Here, 9999999999 is your student ID number, Lastname is your family name,
  33 and Firstname is your given name.
  34
  35 <P>The body of your email can be anything.  (It could be
  36 a note to me if you have some reason to say something.)
  37
  38 <P>Your email should have five attachments:<UL>
  39 <LI>The R script file containing your function definitions, called a1funs.r
  40 <LI>The R script file that runs <TT>find_pairings</TT> on the test data,
  41     called a1script.r
  42 <LI>The text output of this script, which should give the total distance
  43     found after improving each random pairing, called a1out.txt
  44 <LI>The PDF file for the plot of pairings obtained using ten random pairings
  45     with the random seed set to 1, called a1plot1.pdf
  46 <LI>The plot of pairings obtained using one random pairing with the random
  47     set to your student ID number, called a1plot2.pdf
  48 </UL>
  49
  50 <P>You can create a text file with the text output by creating a text
  51 file with File &gt; New File &gt; Text File in RStudio, then copying
  52 and pasting into it.
  53
  54 <P>You can create a file with a plot using the Export menu in the RStudio
  55 plot window (choose "as PDF").  You can move back and forth between
  56 multiple plots using the left and right arrows in the plot window.
  57
  58 </B>
  59
  60 <P>CSC 120 L0201 is an introduction to programming using the R language,
  61 which is widely used for statistical applications.  It is designed for
  62 students with no programming experience, who are either planning to
  63 specialize in statistics or who expect to use statistics extensively
  64 while studying other fields.
  65
  66 <P>Students in other areas of science may wish to take <A
  67 HREF="http://www.cs.utoronto.ca/~drosu/csc120-winter2016.html">section
  68 L0101 of CSC 120</A>, which uses the Python language.  Students who
  69 plan on taking further courses in CS may wish to take CSC 108 instead
  70 of CSC 120, and then take CSC 148.  It is possible to take CSC 148
  71 after CSC 120 without taking CSC 108, but to do so you will have to
  72 pick up some material on your own.
  73
  74 <P><B>Instructor:</B> <A HREF="http://www.cs.toronto.edu/~radford/">
  75 Radford Neal</A>, <B>Office:</B> SS6026A / PT384,
  76 <B>Email:</B>
  77 <A HREF="mailto:radford@cs.utoronto.ca">radford@cs.utoronto.ca</A>
  78
  79 <P><B>Office hours:</B> Thursdays, 2:10 to 3:00, in SS6026A.
  80
  81 <P><B>Lectures and Tutorials/Labs:</B></P>
  82 <blockquote>
  83 Lectures: Tuesdays and Fridays, 3:10-4:00pm, MP202. <BR>
  84 Tutorials/Labs: Wednesdays, 1:10-3:00, CDF lab, room BA3185 (& others).
  85
  86 <P>Labs will start January 13.
  87 The lab the first week will be to make sure you know how to log
  88 into the CDF computers, start up R using Rstudio, and do simple things in R.
  89 If you have a laptop computer, you should bring it, so you can also learn
  90 how to install R and Rstudio on it.  Later labs will involve
  91 non-credit excercises, which will prepare you for assignments,
  92 quizzes, and the exam.
  93 </blockquote>
  94
  95 <P><B>Evaluation:</B>
  96 <BLOCKQUOTE>
  97   21% - Three 30-minute quizzes (7% each), written during lectures
  98         on January 29, February 26, and March 18.<BR>
  99   30% - Three assignments (10% each), due at start of lectures
 100         on February 26, March 22, and April 8.<BR>
 101   49% - Final exam (scheduled by the Faculty).
 102
 103 <P><B>You must get at least 40% on the final exam to pass the course</B>.
 104 If you don't, your final grade will be less than 50 regardless of your
 105 other grades in this course.
 106
 107 <P>Assignments will be done by students individually.
 108
 109 <P>Assignments may be handed in late by the date and time specified
 110    on the handout with a 20% penalty.  Later assignments will not be accepted.
 111
 112 <P>Students with a <B>valid</B> medical or other excuse will of course not
 113    be penalized for late assignments, or for missing a quiz.
 114    You must, however, contact the instructor (eg, by email) as soon as possible
 115    (preferrably beforehand) if you are not able to hand in an assignment
 116    or write a quiz.
 117 </BLOCKQUOTE>
 118
 119 <P><B>Getting and Using R:</B>
 120 <blockquote>
 121 <P>You will use R via Rstudio on the <A HREF="http://www.cdf.utoronto.ca">CDF
 122 computer system</A>, on which you should automatically have an account
 123 if you are registered in this course.  To start Rstudio,
 124 you need to open a terminal window, and then type "rstudio".
 125
 126 <P>You can also install R and Rstudio (for free) on your own laptop or
 127 desktop computer.  You can download R from <A
 128 HREF="http://r-project.org">r-project.org</A>, and
 129 Rstudio from <A HREF="http://rstudio.com">rstudio.com</A>.
 130
 131 <P>The lab in the first week (January 13, 1:10-3:00pm) will help you get
 132 started on these things.
 133
 134 </blockquote>
 135
 136 <P><B>Documentation on R:</B>
 137 <blockquote>
 138 There is no textbook for this course (lecture slides are below).
 139 However, here are links to some on-line documentation on R:
 140
 141 <P><A HREF="http://cran.r-project.org/doc/manuals/R-intro.html">
 142   Introduction to R (R Core Team)</A>.<BR>
 143 <A HREF="http://cran.r-project.org/doc/manuals/R-lang.html">
 144   R Language Definition (R Core Team)</A>.<BR>
 145 <A HREF="http://www.r-tutor.com/r-introduction">Introduction to some
 146 aspects of R (Chi Yau)</A>.<BR>
 147 <A HREF="http://adv-r.had.co.nz/">Advanced R (Hadley Wickham)</A>.
 148
 149 </blockquote>
 150
 151 <P><B>Lecture Slides:</B>
 152
 153 <blockquote>
 154
 155 <P>Slides for the lectures will be posted here as they become available.
 156
 157 <P><a href="week1.pdf">Week 1</a>: Introduction, numeric and character data,
 158                        arithmetic,
 159                        mathematical functions, string functions <I>paste</I>
 160                        and  <I>substring</I>), variables and assignment,
 161                         vectors, <I>c</I>,
 162                        <I>length</I>, vector arithmetic and subscripting,
 163                        plotting vectors. The iris demo program is
 164                        <A HREF="iris-demo.r">here</A>.
 165
 166 <P><a href="week2.pdf">Week 2</a>: R scripts done with <I>source</I>,
 167                        functions <I>scan</I>, <I>mean</I>, <I>sd</I>,
 168                        <I>abline</I>,
 169                        defining functions, multiple steps with curly brackets,
 170                        input and output with <I>readLines</I> and <I>cat</I>.
 171 <P><a href="week3.pdf">Week 3</a>: Using <I>if</I>, <I>for</I>,
 172                        and <I>while</I>,
 173                        logical data and comparison operations, sequences
 174                        with :.
 175 <P><a href="week4.pdf">Week 4</a>: Making vectors with <I>rep</I> and
 176                        <I>seq</I>, matrices, matrix indexing, <I>cbind</I> and
 177                        <I>rbind</I>, perspective and contour plots, named and
 178                        optional arguments, more on plots, random number
 179                        generation,
 180                        with <I>runif</I>, <I>sample</I>, and <I>set.seed</I>.
 181 <P><a href="week5.pdf">Week 5</a>: Lists, using lists to return multiple values,
 182                        more on random number generation, random walks.
 183 <P><a href="week6.pdf">Week 6</a>: Environments, local and global variables
 184                        and assignments.
 185 </blockquote>
 186
 187 <P><B>Lab Exercises:</B>
 188 <blockquote>
 189   January 13: Logging in to CDF, and then starting up R using RStudio.
 190               Installing R and RStudio on your laptop (if you bring one).
 191               Simple operations in R.<BR>
 192   January 20: <A HREF="labex2.pdf">handout</A>.  Solution scripts:
 193   <A HREF="labex2a.r">Part A</A>, <A HREF="labex2b.r">Part B</A>.<BR>
 194   January 27: <A HREF="labex3.pdf">handout</A>,
 195               <A HREF="lab3defs.R">solutions</A>.<BR>
 196   February 3: <A HREF="labex4.pdf">handout</A>,
 197               <A HREF="lab4defs.r">function definitions</A>,
 198               <A HREF="lab4script.r">script to try them</A>.<BR>
 199   February 10: <A HREF="labex5.pdf">handout</A>,
 200                <A HREF="randomwalk.r">random walk function</A>,
 201                <A HREF="lab5defs.r">function definitions</A>,
 202                <A HREF="lab5script.r">script to try them</A>.<BR>
 203   February 24: <A HREF="labex6.pdf">handout</A>,
 204                <A HREF="dots.R">Part I solution</A>,
 205                <A HREF="records.R">Part II solution</A>.
 206 </blockquote>
 207
 208 <P><B>Assignments:</B>
 209 <blockquote>
 210   Assignment 1: <A HREF="ass1.pdf">handout</A>.  Clarification: Note that the
 211   <TT>find_pairings</TT> function should, for each random set of initial
 212   pairings, call <TT>improve_pairings</TT> repeatedly (not just once), until
 213   <TT>improve_pairings</TT> is not able to reduce the total distance.
 214 </blockquote>
 215
 216 <P><B>Quizes:</B>
 217 <blockquote>
 218   Quiz 1: <A HREF="quiz1.pdf">questions</A>, plus
 219           <A HREF="quiz1-ans.pdf">answers</A>.
 220 </blockquote>
 221
 222 <P><b>Web page for a previous version of the course:</b>
 223 <blockquote>
 224   <a href="../csc120.S15">Spring 2015</A>
 225 </blockquote>
 226
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