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              <li><a class="dropdown-item" href="machine-ethics-seminar.html">Machine Ethics Seminar</a></li>
              <li><a class="dropdown-item active" href="#">Intro to AI</a></li>
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    <h1>Introduction to Artificial Intelligence</h1>
    <p>Covers foundations and history of AI. Iowa course listing <a href="https://myui.uiowa.edu/my-ui/courses/details.page?ci=174764&id=1075435">here</a>.</p>
    <h3>Course Description</h3>
    <p>The overall goal of this course is to introduce students to a number of topics and techniques in Artificial Intelligence (AI). This course provides an introduction to the core ideas and techniques of artificial intelligence. Students explore AI and agents, fundamental problem-solving and search strategies (including breadth-first search, depth-first search, uniform cost search, A* search, local search, and adversarial search), constraint satisfaction, logic-based reasoning, the foundations of machine learning and demonstrates how these methods can be applied to real-world problems.
    <h3>Learning Outcomes</h3>
    <p>By the end of this course students should:</p>
    <ul>
      <li>Be capable of critically examining computational systems with respect to their intelligence;
      <li>Understand the methods used in artificial intelligence problem solving;</li>
      <li>Be capable of tanslating artificial intelligence concepts into working programs;
    </ul>
    <p>These are all useful practical and theoretical skills and are sought out by top universities and companies working in AI.</p>

    <h3>Course Schedule</h3>
    <p>We are using Russel and Norvig's canonical AI textbook, Artificial Intelligence: A Modern Approach, 4th US ed.</p>
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      <th>Week</th>
      <th>Topic</th>
      <th>Readings</th>
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    <tr><td>1</td><td>Course Logistics &amp; Intro to AI</td><td>Chapter 1</td></tr>
    <tr><td></td><td>History &amp; Philosophy of AI</td><td>Chapter 1</td></tr>

    <tr><td>2</td><td>Intelligent Agents</td><td>Chapter 2</td></tr>
    <tr><td></td><td>Problem Solving Agents &amp; Search</td><td>Section 3.1</td></tr>

    <tr><td>3</td><td>Problem-Solving Agents &amp; Search</td><td>Section 3.2</td></tr>
    <tr><td></td><td>Uninformed Search</td><td>Section 3.3</td></tr>

    <tr><td>4</td><td>Uninformed Search</td><td>Section 3.4</td></tr>
    <tr><td></td><td>Uninformed Search Variants</td><td>Section 3.4</td></tr>

    <tr><td>5</td><td>Informed Search</td><td>Section 3.5</td></tr>
    <tr><td></td><td>Informed Search</td><td>Section 3.6</td></tr>

    <tr><td>6</td><td>Constraint Satisfaction Problems (CSPs)</td><td>Section 6.1</td></tr>
    <tr><td></td><td>Inference in CSPs</td><td>Section 6.2 – 6.4</td></tr>

    <tr><td>7</td><td>Symbolic AI: Propositional Logic (PL)</td><td>Section 7.1-7.4</td></tr>
    <tr><td></td><td>Symbolic AI: Propositional Logic (PL)</td><td>Section 7.5</td></tr>

    <tr><td>8</td><td>Exam 1 Review</td><td></td></tr>
    <tr><td></td><td>Exam 1</td><td></td></tr>

    <tr><td>9</td><td colspan="2">Spring Break, No Classes</td></tr>

    <tr><td>10</td><td>Exam 1 Recap</td><td></td></tr>
    <tr><td></td><td>First-Order Logic (FOL)</td><td>Section 8.1-8.2</td></tr>

    <tr><td>11</td><td>FOL: Knowledge bases</td><td>Section 8.1-8.3</td></tr>
    <tr><td></td><td>FOL: Ontologizing</td><td>Section 8.4</td></tr>

    <tr><td>12</td><td>FOL: Automated Reasoning</td><td>Section 9.1-9.2</td></tr>
    <tr><td></td><td>FOL: Automated Reasoning</td><td>Section 9.3-9.4</td></tr>

    <tr><td>13</td><td>Category Theory</td><td>Section 10.1-10.2</td></tr>
    <tr><td></td><td>Events, Time, Modality</td><td>Section 10.3-10.4</td></tr>

    <tr><td>14</td><td>Intro to Machine Learning</td><td>Chapter 19</td></tr>
    <tr><td></td><td>Intro to Machine Learning</td><td>Chapter 19</td></tr>

    <tr><td>15</td><td>Neural Networks</td><td>Section 21.1</td></tr>
    <tr><td></td><td>AI &amp; Machine Ethics</td><td>Chapter 27</td></tr>

    <tr><td>16</td><td>AI &amp; Machine Ethics</td><td>Chapter 27</td></tr>
    <tr><td></td><td>Course Recap, Final Exam Prep</td><td></td></tr>

    <tr><td>17</td><td>Final Exam</td><td></td></tr>
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