update teaching stuff

Author: tyleransom

teaching.html

@@ -133,11 +133,11 @@ <h4><b>Econ 5970/5253: Data Science for Economists (University of Oklahoma, Spri
        <li>Course GitHub repository (<a href="https://github.com/tyleransom/DScourseS18">Spring 2018</a>,<a href="https://github.com/tyleransom/DScourseS19">Spring 2019</a>,<a href="https://github.com/tyleransom/DScourseS20">Spring 2020</a>,<a href="https://github.com/tyleransom/DScourseS21">Spring 2021</a>,<a href="https://github.com/tyleransom/DScourseS22">Spring 2022</a>,<a href="https://github.com/tyleransom/DScourseS23">Spring 2023</a>,<a href="https://github.com/tyleransom/DScourseS24">Spring 2024</a>)</li>
        <li>Student course evaluations (<a href="https://tyleransom.github.io/teaching/DSevalsS18.pdf">Spring 2018</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS19.pdf">Spring 2019</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS20.pdf">Spring 2020</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS21.pdf">Spring 2021</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS22.pdf">Spring 2022</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS23.pdf">Spring 2023</a>,<a href="https://tyleransom.github.io/teaching/DSevalsS24.pdf">Spring 2024</a>)</li>
       </ul>
-      <h4><b>Econ 6343: Econometrics III (University of Oklahoma, Fall 2020, Fall 2021, Fall 2022)</b></h4>
+      <h4><b>Econ 6343: Econometrics III (University of Oklahoma, Fall 2020, Fall 2021, Fall 2022, Fall 2024)</b></h4>
       PhD course on advanced topics in applied micro econometrics (structural estimation, machine learning)
       <ul>
-       <li>Course GitHub repository (<a href="https://github.com/OU-PhD-Econometrics/fall-2020">Fall 2020</a>,<a href="https://github.com/OU-PhD-Econometrics/fall-2021">Fall 2021</a>,<a href="https://github.com/OU-PhD-Econometrics/fall-2022">Fall 2022</a>)</li>
-       <li>Student course evaluations (<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF20.pdf">Fall 2020</a>,<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF21.pdf">Fall 2021</a>,<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF22.pdf">Fall 2022</a>)</li>
+       <li>Course GitHub repository (<a href="https://github.com/OU-PhD-Econometrics/fall-2020">Fall 2020</a>,<a href="https://github.com/OU-PhD-Econometrics/fall-2021">Fall 2021</a>,<a href="https://github.com/OU-PhD-Econometrics/fall-2022">Fall 2022</a>,<a href="https://github.com/OU-PhD-Econometrics/fall-2024">Fall 2024</a>)</li>
+       <li>Student course evaluations (<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF20.pdf">Fall 2020</a>,<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF21.pdf">Fall 2021</a>,<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF22.pdf">Fall 2022</a>,<a href="https://tyleransom.github.io/teaching/PhDeconometricsEvalsF24.pdf">Fall 2024</a>)</li>
        <li>Other course materials available upon request</li>
       </ul>
       <h4><b>Econ 4223: Econometric Analysis (University of Oklahoma, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022)</b></h4>
@@ -152,6 +152,13 @@ <h4><b>Econ 4223: Econometric Analysis (University of Oklahoma, Fall 2018, Sprin
        <li>Student course evaluations (<a href="https://tyleransom.github.io/teaching/EconometricsEvalsF18.pdf">Fall 2018</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsS19.pdf">Spring 2019</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsF19.pdf">Fall 2019</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsS20.pdf">Spring 2020</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsF20.pdf">Fall 2020</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsS21.pdf">Spring 2021</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsF21.pdf">Fall 2021</a>,<a href="https://tyleransom.github.io/teaching/EconometricsEvalsS22.pdf">Spring 2022</a>)</li>
        <li>Other course materials available upon request</li>
       </ul>
+      <h4><b>Econ 5293: Machine Learning with Causal Inference (University of Oklahoma, Spring 2025)</b></h4>
+      Online Master's course
+      <ul>
+       <li><a href="https://www.statlearning.com/">Primary Textbook</a></li>
+       <li>Student course evaluations coming soon</li>
+       <li>Other course materials available upon request</li>
+      </ul>
       <h4><b>Causal Inference with R (hosted on <a href="https://www.datacamp.com/">DataCamp</a> with support from <a href="https://www.ebayinc.com/">eBay, Inc.</a>)</b></h4>
       Introduction to Causal Inference using R. The course is free on DataCamp. I co-created the programming exercises with <a href="https://sociology.duke.edu/people/brian-aronson">Brian Aronson</a>, <a href="https://ssri.duke.edu/people/jim-speckart">Jim Speckart</a> and <a href="https://ssri.duke.edu/people/alexandra-cooper">Alexandra Cooper</a>. The course instructors are <a href="https://sites.duke.edu/masten/">Matt Masten</a> and <a href="https://www.mercatus.org/bentley-coffey">Bentley Coffey</a>.
       <ul>