From 26a6fff06be31ac6e0f8dd6b04124cf28649ca57 Mon Sep 17 00:00:00 2001
From: Danilo Freire <danilofreire@gmail.com>
Date: Fri, 10 Jan 2025 12:36:49 -0300
Subject: [PATCH] add reading lecture 11

---
 docs/lectures/lectures.html | 1 +
 docs/search.json            | 4 ++--
 docs/syllabus.html          | 1 +
 lectures/lectures.qmd       | 1 +
 syllabus.qmd                | 1 +
 5 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/docs/lectures/lectures.html b/docs/lectures/lectures.html
index efeb4ac..b64d74a 100644
--- a/docs/lectures/lectures.html
+++ b/docs/lectures/lectures.html
@@ -370,6 +370,7 @@ <h3 class="anchored" data-anchor-id="monday-february-24">Monday, February 24:</h
 </ul>
 <p>Suggested references:</p>
 <ul>
+<li>Matarazzo, A &amp; Torlone, R. (2025). <a href="https://arxiv.org/abs/2501.04040">A Survey on Large Language Models with some Insights on their Capabilities and Limitations</a>. arXiv preprint arXiv:2501.04040.”</li>
 <li>Cihon, P. &amp; Demirer, M. (2023). <a href="https://www.brookings.edu/articles/how-ai-powered-software-development-may-affect-labor-markets/">How AI-powered software development may affect labor markets</a>. Brookings Institution</li>
 <li>Poldrack, R. A., Lu, T., &amp; Beguš, G. (2023). <a href="https://arxiv.org/abs/2304.13187">AI-assisted Coding: Experiments with GPT-4</a>. arXiv preprint arXiv:2304.13187.</li>
 <li>Lau, S &amp; Guo, P. (2023). <a href="https://dl.acm.org/doi/fullHtml/10.1145/3568813.3600138">From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot</a>. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.</li>
diff --git a/docs/search.json b/docs/search.json
index afa8f7e..68daa07 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -403,7 +403,7 @@
     "href": "syllabus.html#module-04-ai-assisted-programming",
     "title": "QTM 350 - Data Science Computing",
     "section": "Module 04: AI-Assisted Programming",
-    "text": "Module 04: AI-Assisted Programming\n\nMonday, February 24:\n\nLecture 11: Introduction to AI-Assisted Programming and Chatbots.\n\nSuggested references:\n\nCihon, P. & Demirer, M. (2023). How AI-powered software development may affect labor markets. Brookings Institution\nPoldrack, R. A., Lu, T., & Beguš, G. (2023). AI-assisted Coding: Experiments with GPT-4. arXiv preprint arXiv:2304.13187.\nLau, S & Guo, P. (2023). From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.\nLinus Torvalds Discusses the Impact of AI on Programming (YouTube).\n\n\n\nWednesday, February 26:\n\nLecture 12: AI-Assisted Programming with GitHub Copilot.\nAssignment 05 due (5%).\nAssignment 06: Problem Set 06.\n\nSuggested references:\n\nGitHub Copilot Documentation.\nUsing GitHub Copilot in your IDE: Tips, Tricks, and Best Practices\nUsing GitHub Copilot in the Command Line\nCoding with an AI Pair Programmer: Getting Started with GitHub Copilot (YouTube)\nGitHub Copilot YouTube Playlist\nLabadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI Chatbots in Education: Systematic Literature Review. International Journal of Educational Technology in Higher Education, 20(1), 56."
+    "text": "Module 04: AI-Assisted Programming\n\nMonday, February 24:\n\nLecture 11: Introduction to AI-Assisted Programming and Chatbots.\n\nSuggested references:\n\nMatarazzo, A & Torlone, R. (2025). A Survey on Large Language Models with some Insights on their Capabilities and Limitations. arXiv preprint arXiv:2501.04040.\nCihon, P. & Demirer, M. (2023). How AI-powered software development may affect labor markets. Brookings Institution\nPoldrack, R. A., Lu, T., & Beguš, G. (2023). AI-assisted Coding: Experiments with GPT-4. arXiv preprint arXiv:2304.13187.\nLau, S & Guo, P. (2023). From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.\nLinus Torvalds Discusses the Impact of AI on Programming (YouTube).\n\n\n\nWednesday, February 26:\n\nLecture 12: AI-Assisted Programming with GitHub Copilot.\nAssignment 05 due (5%).\nAssignment 06: Problem Set 06.\n\nSuggested references:\n\nGitHub Copilot Documentation.\nUsing GitHub Copilot in your IDE: Tips, Tricks, and Best Practices\nUsing GitHub Copilot in the Command Line\nCoding with an AI Pair Programmer: Getting Started with GitHub Copilot (YouTube)\nGitHub Copilot YouTube Playlist\nLabadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI Chatbots in Education: Systematic Literature Review. International Journal of Educational Technology in Higher Education, 20(1), 56."
   },
   {
     "objectID": "syllabus.html#module-05-data-manipulation-with-python",
@@ -466,7 +466,7 @@
     "href": "lectures/lectures.html#module-04-ai-assisted-programming",
     "title": "Lectures",
     "section": "Module 04: AI-Assisted Programming",
-    "text": "Module 04: AI-Assisted Programming\n\nMonday, February 24:\n\nLecture 11: Introduction to AI-Assisted Programming and Chatbots.\n\nSuggested references:\n\nCihon, P. & Demirer, M. (2023). How AI-powered software development may affect labor markets. Brookings Institution\nPoldrack, R. A., Lu, T., & Beguš, G. (2023). AI-assisted Coding: Experiments with GPT-4. arXiv preprint arXiv:2304.13187.\nLau, S & Guo, P. (2023). From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.\nLinus Torvalds Discusses the Impact of AI on Programming (YouTube).\n\n\n\nWednesday, February 26:\n\nLecture 12: AI-Assisted Programming with GitHub Copilot.\nAssignment 05 due (5%).\nAssignment 06: Problem Set 06.\n\nSuggested references:\n\nGitHub Copilot Documentation.\nUsing GitHub Copilot in your IDE: Tips, Tricks, and Best Practices\nUsing GitHub Copilot in the Command Line\nCoding with an AI Pair Programmer: Getting Started with GitHub Copilot (YouTube)\nGitHub Copilot YouTube Playlist\nLabadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI Chatbots in Education: Systematic Literature Review. International Journal of Educational Technology in Higher Education, 20(1), 56."
+    "text": "Module 04: AI-Assisted Programming\n\nMonday, February 24:\n\nLecture 11: Introduction to AI-Assisted Programming and Chatbots.\n\nSuggested references:\n\nMatarazzo, A & Torlone, R. (2025). A Survey on Large Language Models with some Insights on their Capabilities and Limitations. arXiv preprint arXiv:2501.04040.”\nCihon, P. & Demirer, M. (2023). How AI-powered software development may affect labor markets. Brookings Institution\nPoldrack, R. A., Lu, T., & Beguš, G. (2023). AI-assisted Coding: Experiments with GPT-4. arXiv preprint arXiv:2304.13187.\nLau, S & Guo, P. (2023). From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.\nLinus Torvalds Discusses the Impact of AI on Programming (YouTube).\n\n\n\nWednesday, February 26:\n\nLecture 12: AI-Assisted Programming with GitHub Copilot.\nAssignment 05 due (5%).\nAssignment 06: Problem Set 06.\n\nSuggested references:\n\nGitHub Copilot Documentation.\nUsing GitHub Copilot in your IDE: Tips, Tricks, and Best Practices\nUsing GitHub Copilot in the Command Line\nCoding with an AI Pair Programmer: Getting Started with GitHub Copilot (YouTube)\nGitHub Copilot YouTube Playlist\nLabadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI Chatbots in Education: Systematic Literature Review. International Journal of Educational Technology in Higher Education, 20(1), 56."
   },
   {
     "objectID": "lectures/lectures.html#module-05-data-manipulation-with-python",
diff --git a/docs/syllabus.html b/docs/syllabus.html
index 7c10114..55531ba 100644
--- a/docs/syllabus.html
+++ b/docs/syllabus.html
@@ -544,6 +544,7 @@ <h3 class="anchored" data-anchor-id="monday-february-24">Monday, February 24:</h
 </ul>
 <p>Suggested references:</p>
 <ul>
+<li>Matarazzo, A &amp; Torlone, R. (2025). <a href="https://arxiv.org/abs/2501.04040">A Survey on Large Language Models with some Insights on their Capabilities and Limitations</a>. arXiv preprint arXiv:2501.04040.</li>
 <li>Cihon, P. &amp; Demirer, M. (2023). <a href="https://www.brookings.edu/articles/how-ai-powered-software-development-may-affect-labor-markets/">How AI-powered software development may affect labor markets</a>. Brookings Institution</li>
 <li>Poldrack, R. A., Lu, T., &amp; Beguš, G. (2023). <a href="https://arxiv.org/abs/2304.13187">AI-assisted Coding: Experiments with GPT-4</a>. arXiv preprint arXiv:2304.13187.</li>
 <li>Lau, S &amp; Guo, P. (2023). <a href="https://dl.acm.org/doi/fullHtml/10.1145/3568813.3600138">From “Ban It Till We Understand It” to “Resistance is Futile”: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot</a>. In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER ’23 V1), August 07–11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.</li>
diff --git a/lectures/lectures.qmd b/lectures/lectures.qmd
index 187056d..b59eb01 100644
--- a/lectures/lectures.qmd
+++ b/lectures/lectures.qmd
@@ -133,6 +133,7 @@ Suggested references:
 
 Suggested references:
 
+- Matarazzo, A & Torlone, R. (2025). [A Survey on Large Language Models with some Insights on their Capabilities and Limitations](https://arxiv.org/abs/2501.04040). arXiv preprint arXiv:2501.04040."
 - Cihon, P. & Demirer, M. (2023). [How AI-powered software development may affect labor markets](https://www.brookings.edu/articles/how-ai-powered-software-development-may-affect-labor-markets/). Brookings Institution
 - Poldrack, R. A., Lu, T., & Beguš, G. (2023). [AI-assisted Coding: Experiments with GPT-4](https://arxiv.org/abs/2304.13187). arXiv preprint arXiv:2304.13187.
 - Lau, S & Guo, P. (2023). [From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot](https://dl.acm.org/doi/fullHtml/10.1145/3568813.3600138). In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER '23 V1), August 07--11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.
diff --git a/syllabus.qmd b/syllabus.qmd
index dd23f44..ea430e8 100644
--- a/syllabus.qmd
+++ b/syllabus.qmd
@@ -253,6 +253,7 @@ Suggested references:
 
 Suggested references:
 
+- Matarazzo, A & Torlone, R. (2025). [A Survey on Large Language Models with some Insights on their Capabilities and Limitations](https://arxiv.org/abs/2501.04040). arXiv preprint arXiv:2501.04040.
 - Cihon, P. & Demirer, M. (2023). [How AI-powered software development may affect labor markets](https://www.brookings.edu/articles/how-ai-powered-software-development-may-affect-labor-markets/). Brookings Institution
 - Poldrack, R. A., Lu, T., & Beguš, G. (2023). [AI-assisted Coding: Experiments with GPT-4](https://arxiv.org/abs/2304.13187). arXiv preprint arXiv:2304.13187.
 - Lau, S & Guo, P. (2023). [From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot](https://dl.acm.org/doi/fullHtml/10.1145/3568813.3600138). In Proceedings of the 2023 ACM Conference on International Computing Education Research V.1 (ICER '23 V1), August 07--11, 2023, Chicago, IL, USA. ACM, New York, NY, USA 16 Pages.