.

Author: kastnerp

_pages/join.md

@@ -12,7 +12,7 @@ I appreciate your interest in working with me. I receive a fair number of inquir
 <div style="text-align: center; font-size: 16pt; font-weight: bold; font-style: italic;">
   We seek students from all backgrounds.
 </div>
-<p style="margin:.5em;"></p>
+<p style="margin:.75em;"></p>
 
 - If you are an architect or urban designer, you will learn data/technical skills to effectively apply your domain expertise and build modeling and decision-making tools.
 - If you are a coder or from a technical background, you will learn how your skills can help build tools to empower others to design and plan sustainable cities.

_teaching/gt-arch-4833-8833.md

@@ -0,0 +1,10 @@
+---
+layout: page
+title: ARCH 8833
+description: Integrated Building Systems 1
+img:
+importance: 6
+category: Georgia Tech
+---
+
+More info coming soon.

_teaching/gt-arch-7030.md

@@ -1,6 +1,6 @@
 ---
 layout: page
-title: ARCH 7030
+title: ARCH 8833
 description: Data-driven Methods for Design and Sustainability
 img:
 importance: 6
@@ -9,12 +9,11 @@ category: Georgia Tech
 
 ## Summary
 
-This research elective is designed for students interested in deepening their understanding of data-driven methods in architecture with an emphasis on sustainability. The course blends seminar and workshop formats, featuring input lectures from guest speakers in academia and industry. The topics range from
-environmental performance to augmented intelligence in design.
+This research elective is designed for students interested in deepening their understanding of data-driven methods in architecture with an emphasis on sustainability. The course blends seminar and workshop formats, featuring input lectures from guest speakers in academia and industry. The topics range from environmental performance to augmented intelligence in design.
 
 ## Deliverables
 
-Students will work on a hands-on project to analyze complex sustainability-related phenomena, such as energy consumption, mobility patterns, thermal comfort, daylighting, well-being, and quality of space. Students will develop an individual research question that they will answer with a data-driven approach, developed over the semester. The final deliverable is an
+Students will work on a hands-on project to analyze complex sustainability-related phenomena, such as energy consumption, mobility patterns, thermal comfort, daylighting, well-being, and quality of space. Students will develop an individual research question that they will answer with a data-driven approach, developed over the semester. The final deliverable is typically an:
 
 1. implementation of their approach (using Rhino, Grasshopper, C#, Python, Javascript)
 2. conference-ready manuscript / slide deck where processes, findings, and
@@ -23,8 +22,7 @@ Students will work on a hands-on project to analyze complex sustainability-relat
 ## Prerequisites
 
 Students should have intermediate to advanced digital skills and prior experience in
-environmental systems and computational design, as the course skips introductory workshops in favor of a more technical focus. Experience with Python/C# will be advantageous but is not required. The teaching methodology will emphasize evidence-based design, variant testing, and evaluation using existing and custom-
-built computational tools. The course fosters a collaborative learning environment, encouraging students to work with curiosity and rigor as they develop new tools and insights collective
+environmental systems and computational design, as the course skips introductory workshops in favor of a more technical focus. Experience with Python/C# will be advantageous but is not required. The teaching methodology will emphasize evidence-based design, variant testing, and evaluation using existing and custom-built computational tools. The course fosters a collaborative learning environment, encouraging students to work with curiosity and rigor as they develop new tools and insights collective
 
 ## Student Work
 

_teaching/gt-arch-8833.md

@@ -1,10 +1,31 @@
 ---
 layout: page
 title: ARCH 8833
-description: Integrated Building Systems 1
+description: Data-driven Methods for Design and Sustainability
 img:
 importance: 6
 category: Georgia Tech
 ---
 
-More info coming soon.
+## Summary
+
+This research elective is designed for students interested in deepening their understanding of data-driven methods in architecture with an emphasis on sustainability. The course blends seminar and workshop formats, featuring input lectures from guest speakers in academia and industry. The topics range from
+environmental performance to augmented intelligence in design.
+
+## Deliverables
+
+Students will work on a hands-on project to analyze complex sustainability-related phenomena, such as energy consumption, mobility patterns, thermal comfort, daylighting, well-being, and quality of space. Students will develop an individual research question that they will answer with a data-driven approach, developed over the semester. The final deliverable is an
+
+1. implementation of their approach (using Rhino, Grasshopper, C#, Python, Javascript)
+2. conference-ready manuscript / slide deck where processes, findings, and
+   conclusions are documented.
+
+## Prerequisites
+
+Students should have intermediate to advanced digital skills and prior experience in
+environmental systems and computational design, as the course skips introductory workshops in favor of a more technical focus. Experience with Python/C# will be advantageous but is not required. The teaching methodology will emphasize evidence-based design, variant testing, and evaluation using existing and custom-
+built computational tools. The course fosters a collaborative learning environment, encouraging students to work with curiosity and rigor as they develop new tools and insights collective
+
+## Student Work
+
+[End of the Year Showcase Spring 2024](https://docs.google.com/presentation/d/1uE61tAisLvI9qhuCtqXEb0OJ5sR9ljYjdt6a3hoJJ7Q/edit?usp=sharing)