diff --git a/courses/ADMN-6600.html b/courses/ADMN-6600.html
index 48d939d6f..4c9d42d2f 100644
--- a/courses/ADMN-6600.html
+++ b/courses/ADMN-6600.html
@@ -131,7 +131,7 @@
<li>Constance M Grega</li>
</ul>
<span class="course-capacity">
- Seats Taken: 479/700
+ Seats Taken: 480/700
</span>
</div>
</td>
diff --git a/courses/CSCI-2600.html b/courses/CSCI-2600.html
index 43f3a3e04..a9e65ce5d 100644
--- a/courses/CSCI-2600.html
+++ b/courses/CSCI-2600.html
@@ -144,7 +144,7 @@
<li>Konstantin Kuzmin</li>
</ul>
<span class="course-capacity">
- Seats Taken: 113/200
+ Seats Taken: 112/200
</span>
</div>
</td>
diff --git a/courses/CSCI-2960.html b/courses/CSCI-2960.html
index cd93b23b6..f4f441304 100644
--- a/courses/CSCI-2960.html
+++ b/courses/CSCI-2960.html
@@ -141,7 +141,7 @@
<li>Wesley D Turner</li>
</ul>
<span class="course-capacity">
- Seats Taken: 147/224
+ Seats Taken: 146/224
</span>
</div>
</td>
diff --git a/courses/ECON-2020.html b/courses/ECON-2020.html
index bb116f606..0567ca8fa 100644
--- a/courses/ECON-2020.html
+++ b/courses/ECON-2020.html
@@ -160,7 +160,7 @@
<li>Mina Mahmoudi</li>
</ul>
<span class="course-capacity">
- Seats Taken: 15/30
+ Seats Taken: 16/30
</span>
</div>
</td>
diff --git a/courses/ECON-4130.html b/courses/ECON-4130.html
index 815d384ed..e19028569 100644
--- a/courses/ECON-4130.html
+++ b/courses/ECON-4130.html
@@ -149,7 +149,7 @@
<li>Sarah Marsden Greene</li>
</ul>
<span class="course-capacity">
- Seats Taken: 110/200
+ Seats Taken: 111/200
</span>
</div>
</td>
diff --git a/courses/ENGR-6215.html b/courses/ENGR-6215.html
index e4e988773..215faa5d1 100644
--- a/courses/ENGR-6215.html
+++ b/courses/ENGR-6215.html
@@ -2,10 +2,10 @@
<html>
<head>
<title>
- ENGR-6215: Business Intelligence Analysis
+ ENGR-6215: Modeling, Forecasting, Simultn
</title>
- <meta property="og:title" content="ENGR-6215: Business Intelligence Analysis">
- <meta property="og:description" content="Students use visualization and cluster analysis tools to gain deeper insights into complex business relationships. Students apply data analytic process to real-world business problems and questions, including pricing decisions, customer analysis, competitive analysis, financial forecasts, customer decision models, organizational performance dashboards. Students tune models to represent current-state and adjust models as underlying assumptions change. Students cannot receive credit for both this course and ENGR 6205 or ENGR 6210.">
+ <meta property="og:title" content="ENGR-6215: Modeling, Forecasting, Simultn">
+ <meta property="og:description" content="Students use analytical tools to gain deeper insights into complex real-world problems. Students apply the data analytic process to real-world problems and questions, applying data preparation techniques, visualization, statistical testing, simulation and forecasting techniques. Students tune models to represent the current state and adjust models as underlying assumptions change.">
<link rel="stylesheet" href="../css/common.css">
<link rel="stylesheet" href="../css/coursedisplay.css">
<link rel="stylesheet" href="../css/themes.css">
@@ -28,13 +28,13 @@
<div id="cd-flex">
<div id="course-info-container">
<h1 id="name">
- Business Intelligence Analysis
+ Modeling, Forecasting, Simultn
</h1>
<h2 id="code">
ENGR-6215
</h2>
<p>
- Students use visualization and cluster analysis tools to gain deeper insights into complex business relationships. Students apply data analytic process to real-world business problems and questions, including pricing decisions, customer analysis, competitive analysis, financial forecasts, customer decision models, organizational performance dashboards. Students tune models to represent current-state and adjust models as underlying assumptions change. Students cannot receive credit for both this course and ENGR 6205 or ENGR 6210.
+ Students use analytical tools to gain deeper insights into complex real-world problems. Students apply the data analytic process to real-world problems and questions, applying data preparation techniques, visualization, statistical testing, simulation and forecasting techniques. Students tune models to represent the current state and adjust models as underlying assumptions change.
</p>
<div id="cattrs-container">
<span id="credits-pill" class="attr-pill">
@@ -147,7 +147,7 @@
<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
- <a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=ENGR&crse_in=6215&schd_in=">Business Intelligence Analysis (3c)</a>
+ <a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=ENGR&crse_in=6215&schd_in=">Modeling, Forecasting, Simultn (3c)</a>
</span>
<ul class="prof-list">
<li>Christopher Shiu-Pui Tong</li>
diff --git a/courses/ENGR-6216.html b/courses/ENGR-6216.html
index 649092048..358c47a7d 100644
--- a/courses/ENGR-6216.html
+++ b/courses/ENGR-6216.html
@@ -2,10 +2,10 @@
<html>
<head>
<title>
- ENGR-6216: Modeling Business Decisions
+ ENGR-6216: Applied Analytics
</title>
- <meta property="og:title" content="ENGR-6216: Modeling Business Decisions">
- <meta property="og:description" content="Working with a faculty member, students develop a big data inquiry model for a complex business issue, question, or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares business data for analysis, performs the analysis, and presents actionable results and recommendations back to the organization. Students cannot receive credit for both this course and ENGR 6206 or ENGR 6211.">
+ <meta property="og:title" content="ENGR-6216: Applied Analytics">
+ <meta property="og:description" content="Working with a faculty member, students develop a big data inquiry model for a complex issue, question or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares data for analysis, performs the analysis and presents actionable results and recommendations back to the organization.">
<link rel="stylesheet" href="../css/common.css">
<link rel="stylesheet" href="../css/coursedisplay.css">
<link rel="stylesheet" href="../css/themes.css">
@@ -28,13 +28,13 @@
<div id="cd-flex">
<div id="course-info-container">
<h1 id="name">
- Modeling Business Decisions
+ Applied Analytics
</h1>
<h2 id="code">
ENGR-6216
</h2>
<p>
- Working with a faculty member, students develop a big data inquiry model for a complex business issue, question, or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares business data for analysis, performs the analysis, and presents actionable results and recommendations back to the organization. Students cannot receive credit for both this course and ENGR 6206 or ENGR 6211.
+ Working with a faculty member, students develop a big data inquiry model for a complex issue, question or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares data for analysis, performs the analysis and presents actionable results and recommendations back to the organization.
</p>
<div id="cattrs-container">
<span id="credits-pill" class="attr-pill">
@@ -46,7 +46,7 @@
Prereqs:
</div>
<div id="prereq-classes" class="rel-info-courses">
- <a class="course-pill" href="ENGR-6215">ENGR-6215 Business Intelligence Analysis</a>
+ <a class="course-pill" href="ENGR-6215">ENGR-6215 Modeling, Forecasting, Simultn</a>
</div>
</div>
</div>
@@ -147,7 +147,7 @@
<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
- <a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=ENGR&crse_in=6216&schd_in=">Modeling Business Decisions (3c)</a>
+ <a href="https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=ENGR&crse_in=6216&schd_in=">Applied Analytics (3c)</a>
</span>
<ul class="prof-list">
<li>Rushabh S. Padalia</li>
diff --git a/courses/GSAS-2560.html b/courses/GSAS-2560.html
index b0e9aff9e..c5a16f7b3 100644
--- a/courses/GSAS-2560.html
+++ b/courses/GSAS-2560.html
@@ -142,7 +142,7 @@
<li>Kathleen A. Galloway</li>
</ul>
<span class="course-capacity">
- Seats Taken: 8/19
+ Seats Taken: 7/19
</span>
</div>
</td>
diff --git a/courses/GSAS-4961.html b/courses/GSAS-4961.html
index cd3dfabe2..a2f047160 100644
--- a/courses/GSAS-4961.html
+++ b/courses/GSAS-4961.html
@@ -142,7 +142,7 @@
<li>James Wilson Malazita</li>
</ul>
<span class="course-capacity">
- Seats Taken: 7/19
+ Seats Taken: 6/19
</span>
</div>
</td>
diff --git a/courses/ISYE-6360.html b/courses/ISYE-6360.html
index f2f2634ce..8d739a20c 100644
--- a/courses/ISYE-6360.html
+++ b/courses/ISYE-6360.html
@@ -141,7 +141,7 @@
<li>Rostyslav Korolov</li>
</ul>
<span class="course-capacity">
- Seats Taken: 8/10
+ Seats Taken: 7/10
</span>
</div>
</td>
diff --git a/courses/MANE-4520.html b/courses/MANE-4520.html
index 63d1aae20..039fedfda 100644
--- a/courses/MANE-4520.html
+++ b/courses/MANE-4520.html
@@ -158,7 +158,7 @@
<li>Joshua Lucas Hurst</li>
</ul>
<span class="course-capacity">
- Seats Taken: 24/24
+ Seats Taken: 25/24
</span>
</div>
</td>
diff --git a/courses/STSO-4100.html b/courses/STSO-4100.html
index 8e2a278a8..2cf3b27dd 100644
--- a/courses/STSO-4100.html
+++ b/courses/STSO-4100.html
@@ -160,7 +160,7 @@
<li>Azita Hirsa</li>
</ul>
<span class="course-capacity">
- Seats Taken: 58/105
+ Seats Taken: 59/105
</span>
</div>
</td>
diff --git a/json/searchable_catalog.json b/json/searchable_catalog.json
index 67c63ca54..1c1acddf3 100644
--- a/json/searchable_catalog.json
+++ b/json/searchable_catalog.json
@@ -21080,15 +21080,15 @@
"attributes" : null,
"code" : "ENGR-6215",
"credits" : "3 credits",
- "description" : "Students use visualization and cluster analysis tools to gain deeper insights into complex business relationships. Students apply data analytic process to real-world business problems and questions, including pricing decisions, customer analysis, competitive analysis, financial forecasts, customer decision models, organizational performance dashboards. Students tune models to represent current-state and adjust models as underlying assumptions change. Students cannot receive credit for both this course and ENGR 6205 or ENGR 6210.",
- "name" : "Business Intelligence Analysis"
+ "description" : "Students use analytical tools to gain deeper insights into complex real-world problems. Students apply the data analytic process to real-world problems and questions, applying data preparation techniques, visualization, statistical testing, simulation and forecasting techniques. Students tune models to represent the current state and adjust models as underlying assumptions change.",
+ "name" : "Modeling, Forecasting, Simultn"
},
{
"attributes" : null,
"code" : "ENGR-6216",
"credits" : "3 credits",
- "description" : "Working with a faculty member, students develop a big data inquiry model for a complex business issue, question, or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares business data for analysis, performs the analysis, and presents actionable results and recommendations back to the organization. Students cannot receive credit for both this course and ENGR 6206 or ENGR 6211.",
- "name" : "Modeling Business Decisions"
+ "description" : "Working with a faculty member, students develop a big data inquiry model for a complex issue, question or problem of their choosing. Over the semester, the student frames the question to be analyzed, collects and prepares data for analysis, performs the analysis and presents actionable results and recommendations back to the organization.",
+ "name" : "Applied Analytics"
},
{
"attributes" : null,