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Tue May 21 14:27:09 UTC 2024

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2
courses/ADMN-6600.html
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<li>Constance M Grega</li>
</ul>
<span class="course-capacity">
Seats Taken: 479/700
Seats Taken: 480/700
</span>
</div>
</td>

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courses/CSCI-2600.html
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<li>Konstantin Kuzmin</li>
</ul>
<span class="course-capacity">
Seats Taken: 113/200
Seats Taken: 112/200
</span>
</div>
</td>

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courses/CSCI-2960.html
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<li>Wesley D Turner</li>
</ul>
<span class="course-capacity">
Seats Taken: 147/224
Seats Taken: 146/224
</span>
</div>
</td>

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courses/ECON-2020.html
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<li>Mina Mahmoudi</li>
</ul>
<span class="course-capacity">
Seats Taken: 15/30
Seats Taken: 16/30
</span>
</div>
</td>

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courses/ECON-4130.html
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<li>Sarah Marsden Greene</li>
</ul>
<span class="course-capacity">
Seats Taken: 110/200
Seats Taken: 111/200
</span>
</div>
</td>

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courses/ENGR-6215.html
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<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>

14
courses/ENGR-6216.html
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<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>

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courses/GSAS-2560.html
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<li>Kathleen A. Galloway</li>
</ul>
<span class="course-capacity">
Seats Taken: 8/19
Seats Taken: 7/19
</span>
</div>
</td>

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courses/GSAS-4961.html
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<li>James Wilson Malazita</li>
</ul>
<span class="course-capacity">
Seats Taken: 7/19
Seats Taken: 6/19
</span>
</div>
</td>

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courses/ISYE-6360.html
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<li>Rostyslav Korolov</li>
</ul>
<span class="course-capacity">
Seats Taken: 8/10
Seats Taken: 7/10
</span>
</div>
</td>

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courses/MANE-4520.html
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<li>Joshua Lucas Hurst</li>
</ul>
<span class="course-capacity">
Seats Taken: 24/24
Seats Taken: 25/24
</span>
</div>
</td>

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courses/STSO-4100.html
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<li>Azita Hirsa</li>
</ul>
<span class="course-capacity">
Seats Taken: 58/105
Seats Taken: 59/105
</span>
</div>
</td>

8
json/searchable_catalog.json
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@ -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,