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<table class="tg">
  <tr>
    <th class="tg-c7d0">Week</th>
    <th class="tg-c7d0">Topic</th>
    <th class="tg-c7d0">Readings</th>
  </tr>
  <tr>
    <td class="tg-s6z2">1</td>
    <td class="tg-cxkv">Overview [<a href="lectures/Overview-handout.pdf">slides</a>] [<a href="lectures/Overview-2x2.pdf">4up</a>]</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter01.pdf">Ch1</a>, <a href="ClassOnly/VCDR/chapter02.pdf">Ch2</a>; Agresti: Ch1</td>
  </tr>
  <tr>
    <td class="tg-s6z2">2</td>
    <td class="tg-031e">Discrete distributions [<a href="lectures/Discrete-handout.pdf">slides</a>] [<a href="lectures/Discrete-2x2.pdf">4up</a>]</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter03.pdf">Ch3</a> </td>
  </tr>
  <tr>
    <td class="tg-s6z2">3</td>
    <td class="tg-031e">Two-Way Tables: Independence and Association</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter04.pdf">Ch4</a>; Agresti: Ch2</td>
  </tr>
  <tr>
    <td class="tg-s6z2">4</td>
    <td class="tg-031e">Two-Way Tables: Ordinal Data and Dependent Samples</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter04.pdf">Ch4</a>; Agresti: Ch2</td>
  </tr>
  <tr>
    <td class="tg-s6z2">5</td>
    <td class="tg-031e">Three-Way Tables: Different Types of Independence</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter05.pdf">Ch5</a>; Agresti: Ch3</td>
  </tr>
  <tr>
    <td class="tg-s6z2">6</td>
    <td class="tg-031e">Correspondence Analysis</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter06.pdf">Ch6</a></td>
  </tr>
  <tr>
    <td class="tg-s6z2">7</td>
    <td class="tg-031e">Logistic Regression I</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter07.pdf">7.1-7.3</a>; Agresti: Ch4-5</td>
  </tr>
  <tr>
    <td class="tg-s6z2">8</td>
    <td class="tg-031e">Logistic Regression II</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter07.pdf">7.3-7.4</a>; Agresti: Ch5</td>
  </tr>
  <tr>
    <td class="tg-s6z2">9</td>
    <td class="tg-031e">Multinomial Logistic Regression</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter07.pdf">7.5-7.6</a>; Agresti: Ch8</td>
  </tr>
  <tr>
    <td class="tg-s6z2">10</td>
    <td class="tg-031e">Log-Linear Models I</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter08.pdf">8.1-8.4</a>; Agresti: Ch6</td>
  </tr>
  <tr>
    <td class="tg-s6z2">11</td>
    <td class="tg-031e">Log-Linear Models II</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter08.pdf">8.5-8.11</a>; Agresti: Ch6</td>
  </tr>
  <tr>
    <td class="tg-s6z2">12</td>
    <td class="tg-031e">Generalized Linear Models: Poisson Regression</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter09.pdf">9.1-9.4</a></td>
  </tr>
  <tr>
    <td class="tg-s6z2">13</td>
    <td class="tg-031e">Generalized Linear Models: Further topics</td>
    <td class="tg-031e">VCDR: <a href="ClassOnly/VCDR/chapter09.pdf">9.5-9.7</a></td>
  </tr>
</table>