update dates assignments

danilofreire · Jan 16, 2025 · 792e12f · 792e12f
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diff --git a/docs/lectures/lectures.html b/docs/lectures/lectures.html
@@ -241,7 +241,7 @@ <h3 class="anchored" data-anchor-id="monday-january-20-martin-luther-king-jr.-da
 <h3 class="anchored" data-anchor-id="wednesday-january-22">Wednesday, January 22:</h3>
 <ul>
 <li>Lecture 02: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-02/02-computational-literacy.html">Computational Literacy</a>.</li>
-<li><strong>Assignment 01:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/01-assignment.ipynb">Problem Set 01</a></li>
+<li><strong>Assignment 01:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/01-assignment.ipynb">Problem Set 01</a>.</li>
 </ul>
 <p>Suggested references:</p>
 <ul>
@@ -356,8 +356,8 @@ <h3 class="anchored" data-anchor-id="monday-february-17">Monday, February 17:</h
 <h3 class="anchored" data-anchor-id="wednesday-february-19">Wednesday, February 19:</h3>
 <ul>
 <li>Lecture 10: <strong>Quiz 02: Literate Programming (6%)</strong>.</li>
-<li><strong>Assignment 05:</strong> Problem Set 05.</li>
 <li><strong>Assignment 04 due (5%).</strong></li>
+<li><strong>Assignment 05:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/05-assignment.ipynb">Problem Set 05</a>.</li>
 </ul>
 </section>
 </section>
@@ -382,7 +382,7 @@ <h3 class="anchored" data-anchor-id="wednesday-february-26">Wednesday, February
 <ul>
 <li>Lecture 12: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-12/12-copilot.html">AI-Assisted Programming with GitHub Copilot</a>.</li>
 <li><strong>Assignment 05 due (5%).</strong></li>
-<li><strong>Assignment 06:</strong> Problem Set 06.</li>
+<li><strong>Assignment 06:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/06-assignment.ipynb">Problem Set 06</a>.</li>
 </ul>
 <p>Suggested references:</p>
 <ul>
@@ -403,7 +403,7 @@ <h3 class="anchored" data-anchor-id="monday-march-03">Monday, March 03:</h3>
 <li>Lecture 13: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-13/13-python-intro.html">Python Data Types, Boolean Logic, and Control Structures</a>.</li>
 <li><a href="https://play.kahoot.it/v2/?quizId=668187b3-ea1e-43d4-89f2-bd0f06aeb4a0&amp;hostId=05eb977d-4f8a-440e-9e45-95212b29d103">Kahoot Quiz</a>.</li>
 <li><strong>Assignment 06 due (5%).</strong></li>
-<li><strong>Assignment 07:</strong> Problem Set 07.</li>
+<li><strong>Assignment 07:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/07-assignment.ipynb">Problem Set 07</a>.</li>
 </ul>
 <p>Suggested references:</p>
 <ul>
@@ -435,7 +435,7 @@ <h3 class="anchored" data-anchor-id="monday-march-17">Monday, March 17:</h3>
 <li>Lecture 15: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-15/15-wrangling-aggregating.html">Pandas for Data Analysis: Data Wrangling and Aggregating</a>.</li>
 <li><a href="https://play.kahoot.it/v2/?quizId=50a9780c-8eff-4487-8a13-ae7e2ea6a87c&amp;hostId=05eb977d-4f8a-440e-9e45-95212b29d103">Kahoot Quiz</a>.</li>
 <li><strong>Assignment 07 due (5%).</strong></li>
-<li><strong>Assignment 08:</strong> Problem Set 08.</li>
+<li><strong>Assignment 08:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/08-assignment.zip">Problem Set 08</a>.</li>
 </ul>
 <p>Suggested references:</p>
 <ul>
@@ -460,7 +460,7 @@ <h3 class="anchored" data-anchor-id="monday-march-24">Monday, March 24:</h3>
 <ul>
 <li>Lecture 17: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-17/17-introduction-sql.html">Introduction to PostgreSQL: Data Types, Tables, and Queries</a>.</li>
 <li><strong>Assignment 08 due (5%).</strong></li>
-<li><strong>Assignment 09:</strong> Problem Set 09.</li>
+<li><strong>Assignment 09:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/09-assignment.sql">Problem Set 09</a>.</li>
 <li><strong>Instructions for the Final Project</strong>.</li>
 </ul>
 <p>Suggested references:</p>
@@ -486,7 +486,7 @@ <h3 class="anchored" data-anchor-id="monday-march-31">Monday, March 31:</h3>
 <li>Lecture 19: <a href="https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-19/19-sql-tables.html">Merging Tables in SQL</a>.</li>
 <li><a href="https://play.kahoot.it/v2/?quizId=8743a497-266f-4422-9a71-16b062cfe705&amp;hostId=05eb977d-4f8a-440e-9e45-95212b29d103">Kahoot Quiz</a>.</li>
 <li><strong>Assignment 09 due (5%).</strong></li>
-<li><strong>Assignment 10:</strong> Problem Set 10.</li>
+<li><strong>Assignment 10:</strong> <a href="https://github.com/danilofreire/qtm350/blob/main/assignments/10-assignment.ipynb">Problem Set 10</a>.</li>
 </ul>
 <p>Suggested references:</p>
 <ul>

diff --git a/docs/search.json b/docs/search.json
@@ -445,7 +445,7 @@
     "href": "lectures/lectures.html#module-01-introduction-to-python-jupyter-and-github",
     "title": "Lectures",
     "section": "Module 01: Introduction to Python, Jupyter, and GitHub",
-    "text": "Module 01: Introduction to Python, Jupyter, and GitHub\n\nWednesday, January 15:\n\nSyllabus and course repository: https://github.com/danilofreire/qtm350.\nLecture 01: Welcome to QTM 350 - Introduction.\nCourse Tutorials: How to Install Anaconda, Jupyter, PostgreSQL, VSCode, and Open a Free Educational Account on GitHub.\n\nSuggested references:\n\nCleveland, W. S. (2001). Data science: An action plan for expanding the technical areas of the field of statistics. International Statistical Review, 69(1), 21-26.\nDonoho, D. (2017). 50 Years of Data Science. Journal of Computational and Graphical Statistics, 26(4), 745-766.\nBreiman, L. (2001). Statistical Modeling: The Two Cultures (with Comments and a Rejoinder by the Author). Statistical Science, 16(3), 199-231.\nBrady, H. E. (2019). The Challenge of Big Data and Data Science. Annual Review of Political Science, 22(1), 297-323.\nZitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019). Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. Information Fusion, 50, 71-91.\n\n\n\nMonday, January 20: Martin Luther King Jr. Day (no class)\n\n\nWednesday, January 22:\n\nLecture 02: Computational Literacy.\nAssignment 01: Problem Set 01\n\nSuggested references:\n\nCampbell-Kelly, M., Aspray, W. F., Yost, J. R., Tinn, H., & Díaz, G. C. (2023). Computer: A History of the Information Machine. Routledge.\nShalf, J. (2020). The Future of Computing beyond Moore’s Law. Philosophical Transactions of the Royal Society A, 378(2166), 20190061.\nAl-Hashimi, H. M. (2023). Turing, von Neumann, and The Computational Architecture of Biological Machines. Proceedings of the National Academy of Sciences, 120(25), e2220022120.\nWing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35.\nVideos: David J. Malan - Abstraction, Khan Academy - Hexadecimal Number System, Matthias Wandel - Marble Adding Machine, Crash Course - Early Computing and Electronic Computing (the last two are quite entertaining!)."
+    "text": "Module 01: Introduction to Python, Jupyter, and GitHub\n\nWednesday, January 15:\n\nSyllabus and course repository: https://github.com/danilofreire/qtm350.\nLecture 01: Welcome to QTM 350 - Introduction.\nCourse Tutorials: How to Install Anaconda, Jupyter, PostgreSQL, VSCode, and Open a Free Educational Account on GitHub.\n\nSuggested references:\n\nCleveland, W. S. (2001). Data science: An action plan for expanding the technical areas of the field of statistics. International Statistical Review, 69(1), 21-26.\nDonoho, D. (2017). 50 Years of Data Science. Journal of Computational and Graphical Statistics, 26(4), 745-766.\nBreiman, L. (2001). Statistical Modeling: The Two Cultures (with Comments and a Rejoinder by the Author). Statistical Science, 16(3), 199-231.\nBrady, H. E. (2019). The Challenge of Big Data and Data Science. Annual Review of Political Science, 22(1), 297-323.\nZitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019). Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. Information Fusion, 50, 71-91.\n\n\n\nMonday, January 20: Martin Luther King Jr. Day (no class)\n\n\nWednesday, January 22:\n\nLecture 02: Computational Literacy.\nAssignment 01: Problem Set 01.\n\nSuggested references:\n\nCampbell-Kelly, M., Aspray, W. F., Yost, J. R., Tinn, H., & Díaz, G. C. (2023). Computer: A History of the Information Machine. Routledge.\nShalf, J. (2020). The Future of Computing beyond Moore’s Law. Philosophical Transactions of the Royal Society A, 378(2166), 20190061.\nAl-Hashimi, H. M. (2023). Turing, von Neumann, and The Computational Architecture of Biological Machines. Proceedings of the National Academy of Sciences, 120(25), e2220022120.\nWing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35.\nVideos: David J. Malan - Abstraction, Khan Academy - Hexadecimal Number System, Matthias Wandel - Marble Adding Machine, Crash Course - Early Computing and Electronic Computing (the last two are quite entertaining!)."
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@@ -459,7 +459,7 @@
     "href": "lectures/lectures.html#module-03-literate-programming-with-markdown-quarto-and-jupyter",
     "title": "Lectures",
     "section": "Module 03: Literate Programming with Markdown, Quarto, and Jupyter",
-    "text": "Module 03: Literate Programming with Markdown, Quarto, and Jupyter\n\nWednesday, February 12:\n\nLecture 08: Using Quarto for Reproducible Reports.\nAssignment 03 due (5%).\nAssignment 04: Problem Set 04.\n\nSuggested references:\n\nQuarto official website.\nAwesome Quarto: https://github.com/mcanouil/awesome-quarto. Note: this repository contains dozens of tutorials, examples, and resources.\nÇetinkaya-Rundel, M. & Lowndes, J. S. (2022) Keynote talk: Hello Quarto: Share • Collaborate • Teach • Reimagine. Slides and source code. This is one of the nicest Quarto presentations I have seen.\nGetting Started with Quarto (YouTube). Note: Posit (formerly RStudio) has a series of tutorials on Quarto on their YouTube channel. You can find their playlist here.\nMarkdown Guide.\nJupyter Notebooks Documentation.\nCodecademy - How to use Jupyter Notebooks\nCourse tutorial: Jupyter and Markdown\n\n\n\nMonday, February 17:\n\nLecture 09: Writing Documents, Presentations, and Websites with Quarto.\nKahoot Quiz.\n\nSuggested references:\n\nQuarto Documentation - Presentations and Websites.\nGitHub Pages Documentation.\nFrench, J. (2023). Creating Websites with Quarto and GitHub Pages (YouTube Playlist).\nTaylor, I. (2022). Publishing a Quarto Site to GitHub Pages.\n\n\n\nWednesday, February 19:\n\nLecture 10: Quiz 02: Literate Programming (6%).\nAssignment 05: Problem Set 05.\nAssignment 04 due (5%)."
+    "text": "Module 03: Literate Programming with Markdown, Quarto, and Jupyter\n\nWednesday, February 12:\n\nLecture 08: Using Quarto for Reproducible Reports.\nAssignment 03 due (5%).\nAssignment 04: Problem Set 04.\n\nSuggested references:\n\nQuarto official website.\nAwesome Quarto: https://github.com/mcanouil/awesome-quarto. Note: this repository contains dozens of tutorials, examples, and resources.\nÇetinkaya-Rundel, M. & Lowndes, J. S. (2022) Keynote talk: Hello Quarto: Share • Collaborate • Teach • Reimagine. Slides and source code. This is one of the nicest Quarto presentations I have seen.\nGetting Started with Quarto (YouTube). Note: Posit (formerly RStudio) has a series of tutorials on Quarto on their YouTube channel. You can find their playlist here.\nMarkdown Guide.\nJupyter Notebooks Documentation.\nCodecademy - How to use Jupyter Notebooks\nCourse tutorial: Jupyter and Markdown\n\n\n\nMonday, February 17:\n\nLecture 09: Writing Documents, Presentations, and Websites with Quarto.\nKahoot Quiz.\n\nSuggested references:\n\nQuarto Documentation - Presentations and Websites.\nGitHub Pages Documentation.\nFrench, J. (2023). Creating Websites with Quarto and GitHub Pages (YouTube Playlist).\nTaylor, I. (2022). Publishing a Quarto Site to GitHub Pages.\n\n\n\nWednesday, February 19:\n\nLecture 10: Quiz 02: Literate Programming (6%).\nAssignment 04 due (5%).\nAssignment 05: Problem Set 05."
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diff --git a/lectures/lectures.qmd b/lectures/lectures.qmd
@@ -25,7 +25,7 @@ Suggested references:
 ### Wednesday, January 22:
 
 - Lecture 02: [Computational Literacy](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-02/02-computational-literacy.html).
-- **Assignment 01:** [Problem Set 01](https://github.com/danilofreire/qtm350/blob/main/assignments/01-assignment.ipynb)
+- **Assignment 01:** [Problem Set 01](https://github.com/danilofreire/qtm350/blob/main/assignments/01-assignment.ipynb).
 
 Suggested references:
 
@@ -122,8 +122,8 @@ Suggested references:
 ### Wednesday, February 19:
 
 - Lecture 10: **Quiz 02: Literate Programming (6%)**.
-- **Assignment 05:** Problem Set 05.
 - **Assignment 04 due (5%).**
+- **Assignment 05:** [Problem Set 05](https://github.com/danilofreire/qtm350/blob/main/assignments/05-assignment.ipynb).
 
 ## Module 04: AI-Assisted Programming
 
@@ -143,7 +143,7 @@ Suggested references:
 
 - Lecture 12: [AI-Assisted Programming with GitHub Copilot](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-12/12-copilot.html).
 - **Assignment 05 due (5%).**
-- **Assignment 06:** Problem Set 06.
+- **Assignment 06:** [Problem Set 06](https://github.com/danilofreire/qtm350/blob/main/assignments/06-assignment.ipynb).
 
 Suggested references:
 
@@ -162,7 +162,7 @@ Suggested references:
 - Lecture 13: [Python Data Types, Boolean Logic, and Control Structures](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-13/13-python-intro.html).
 - [Kahoot Quiz](https://play.kahoot.it/v2/?quizId=668187b3-ea1e-43d4-89f2-bd0f06aeb4a0&hostId=05eb977d-4f8a-440e-9e45-95212b29d103).
 - **Assignment 06 due (5%).**
-- **Assignment 07:** Problem Set 07.
+- **Assignment 07:** [Problem Set 07](https://github.com/danilofreire/qtm350/blob/main/assignments/07-assignment.ipynb).
 
 Suggested references:
 
@@ -188,7 +188,7 @@ Suggested references:
 - Lecture 15: [Pandas for Data Analysis: Data Wrangling and Aggregating](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-15/15-wrangling-aggregating.html).
 - [Kahoot Quiz](https://play.kahoot.it/v2/?quizId=50a9780c-8eff-4487-8a13-ae7e2ea6a87c&hostId=05eb977d-4f8a-440e-9e45-95212b29d103).
 - **Assignment 07 due (5%).**
-- **Assignment 08:** Problem Set 08.
+- **Assignment 08:** [Problem Set 08](https://github.com/danilofreire/qtm350/blob/main/assignments/08-assignment.zip).
 
 Suggested references:
 
@@ -208,7 +208,7 @@ Suggested references:
 
 - Lecture 17: [Introduction to PostgreSQL: Data Types, Tables, and Queries](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-17/17-introduction-sql.html).
 - **Assignment 08 due (5%).**
-- **Assignment 09:** Problem Set 09.
+- **Assignment 09:** [Problem Set 09](https://github.com/danilofreire/qtm350/blob/main/assignments/09-assignment.sql).
 - **Instructions for the Final Project**.
 
 Suggested references:
@@ -230,7 +230,7 @@ Suggested references:
 - Lecture 19: [Merging Tables in SQL](https://raw.githack.com/danilofreire/qtm350/main/lectures/lecture-19/19-sql-tables.html).
 - [Kahoot Quiz](https://play.kahoot.it/v2/?quizId=8743a497-266f-4422-9a71-16b062cfe705&hostId=05eb977d-4f8a-440e-9e45-95212b29d103).
 - **Assignment 09 due (5%).**
-- **Assignment 10:** Problem Set 10.
+- **Assignment 10:** [Problem Set 10](https://github.com/danilofreire/qtm350/blob/main/assignments/10-assignment.ipynb).
 
 Suggested references: