From 0d1934c10f040e2f266919b1aa834c0b89a97e9c Mon Sep 17 00:00:00 2001 From: Quatalog Updater Date: Wed, 7 Feb 2024 22:25:01 +0000 Subject: [PATCH] Wed Feb 7 22:25:01 UTC 2024 --- courses/ENGR-1100.html | 2 +- courses/ISYE-4500.html | 369 +++++++++++++++++++++++++++++++++++ courses/ISYE-6610.html | 4 +- courses/PHIL-4963.html | 2 +- courses/PSYC-4430.html | 2 +- courses/PSYC-4730.html | 2 +- courses/PSYC-4961.html | 15 +- courses/PSYC-4962.html | 13 +- json/courses_list.json | 1 + json/searchable_catalog.json | 11 +- 10 files changed, 410 insertions(+), 11 deletions(-) create mode 100644 courses/ISYE-4500.html diff --git a/courses/ENGR-1100.html b/courses/ENGR-1100.html index 9ce124832..82fd7ef62 100644 --- a/courses/ENGR-1100.html +++ b/courses/ENGR-1100.html @@ -133,7 +133,7 @@
  • Keith Robert Taylor
    • - Seats Taken: 176/175 + Seats Taken: 174/175 diff --git a/courses/ISYE-4500.html b/courses/ISYE-4500.html new file mode 100644 index 000000000..08ab900f6 --- /dev/null +++ b/courses/ISYE-4500.html @@ -0,0 +1,369 @@ + + + + + ISYE-4500: Stochastic Mthd In Op Rsrch + + + + + + + + + + + + + + + + +
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    + Stochastic Mthd In Op Rsrch +

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    + ISYE-4500 +

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    + This course develops an understanding of stochastic processes that evolve over time, and the ability to model, analyze, and solve optimization problems for systems that involve sequential and interrelated decisions. Course topics include Probability Theory, Markov Chains, Dynamic Programming, and Queueing Theory. The application areas include but are not limited to production and inventory systems, customer service, revenue management, and health care. +

    +
    + + ? credits + +
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    + Prereqs: +
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    + + none + +
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    + Past Term Data +

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    + + + + Offered as Cross-Listing Only +
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    SpringSummerFall
    (Session 1)(Session 2)
    2024 + + +
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    + + diff --git a/courses/ISYE-6610.html b/courses/ISYE-6610.html index 8d6d378ee..11ab7ac22 100644 --- a/courses/ISYE-6610.html +++ b/courses/ISYE-6610.html @@ -5,7 +5,7 @@ ISYE-6610: Systems Modeling In Dses - + @@ -34,7 +34,7 @@ ISYE-6610

    - Survey of decision science methodologies in the context of technical and economic decision problems. The course seeks to develop a conceptual understanding of these methods and basic implementation skills. Students will learn how to apply decision science methods from problem recognition and data development through problem formulation and computer solution. + This course is an introduction to deterministic mathematical modeling for common decision problems in industrial and management engineering including supply chain management, production planning, and public policy. Students will learn to formulate and solve linear and integer programs, evaluate robustness of solutions via sensitivity analysis, and apply duality and other fundamental techniques in deterministic optimization.

    diff --git a/courses/PHIL-4963.html b/courses/PHIL-4963.html index 4b060c62f..d255e80c6 100644 --- a/courses/PHIL-4963.html +++ b/courses/PHIL-4963.html @@ -132,7 +132,7 @@ - + diff --git a/courses/PSYC-4430.html b/courses/PSYC-4430.html index 68eb585b6..400c3fc8b 100644 --- a/courses/PSYC-4430.html +++ b/courses/PSYC-4430.html @@ -160,7 +160,7 @@
  • Holly A Traver
    • - Seats Taken: 0/23 + Seats Taken: 0/19
    diff --git a/courses/PSYC-4730.html b/courses/PSYC-4730.html index 6f07ab000..d5d7e5800 100644 --- a/courses/PSYC-4730.html +++ b/courses/PSYC-4730.html @@ -155,7 +155,7 @@
  • Holly A Traver
    • - Seats Taken: 0/150 + Seats Taken: 0/160 diff --git a/courses/PSYC-4961.html b/courses/PSYC-4961.html index 4dbfcade9..9ab0cb60a 100644 --- a/courses/PSYC-4961.html +++ b/courses/PSYC-4961.html @@ -38,7 +38,7 @@

    - 1 credit + 4 credits
    @@ -137,7 +137,18 @@
    - + +
    + + Physics Meets Social Science (4c) + + + + Seats Taken: 0/19 + +
    diff --git a/courses/PSYC-4962.html b/courses/PSYC-4962.html index 823dd258e..11030d448 100644 --- a/courses/PSYC-4962.html +++ b/courses/PSYC-4962.html @@ -124,7 +124,18 @@ - + +
    + + Models Of Mental Processes (4c) + + + + Seats Taken: 0/19 + +
    diff --git a/json/courses_list.json b/json/courses_list.json index 31a2afcee..e1a981e17 100644 --- a/json/courses_list.json +++ b/json/courses_list.json @@ -3815,6 +3815,7 @@ "ISYE-4360", "ISYE-4370", "ISYE-4440", + "ISYE-4500", "ISYE-4530", "ISYE-4555", "ISYE-4600", diff --git a/json/searchable_catalog.json b/json/searchable_catalog.json index 1f11f75c7..5858ebbc4 100644 --- a/json/searchable_catalog.json +++ b/json/searchable_catalog.json @@ -27353,6 +27353,13 @@ "description" : "The study of the link between engineering and management. Students will gain an in-depth understanding of the foundations of engineering management. Topics covered include the concept of engineering management, its relationship to engineering, and its historical underpinnings, and the traditional roles of management with a particular emphasis on leadership skills. The course examines the difference between managerial vs. leadership roles in organizational settings. Furthermore, attention is given to evaluating risk, and other organizational and administrative capabilities. The ethical dimensions of the organization and the engineering community are also explored.", "name" : "Mgmt Of Engineering & Tech" }, + { + "attributes" : null, + "code" : "ISYE-4500", + "credits" : "? credits", + "description" : "This course develops an understanding of stochastic processes that evolve over time, and the ability to model, analyze, and solve optimization problems for systems that involve sequential and interrelated decisions. Course topics include Probability Theory, Markov Chains, Dynamic Programming, and Queueing Theory. The application areas include but are not limited to production and inventory systems, customer service, revenue management, and health care.", + "name" : "Stochastic Mthd In Op Rsrch" + }, { "attributes" : null, "code" : "ISYE-4530", @@ -27672,7 +27679,7 @@ "attributes" : null, "code" : "ISYE-6610", "credits" : "3 credits", - "description" : "Survey of decision science methodologies in the context of technical and economic decision problems. The course seeks to develop a conceptual understanding of these methods and basic implementation skills. Students will learn how to apply decision science methods from problem recognition and data development through problem formulation and computer solution.", + "description" : "This course is an introduction to deterministic mathematical modeling for common decision problems in industrial and management engineering including supply chain management, production planning, and public policy. Students will learn to formulate and solve linear and integer programs, evaluate robustness of solutions via sensitivity analysis, and apply duality and other fundamental techniques in deterministic optimization.", "name" : "Systems Modeling In Dses" }, { @@ -39141,7 +39148,7 @@ { "attributes" : null, "code" : "PSYC-4961", - "credits" : "1 credit", + "credits" : "4 credits", "description" : "Course codes between X960 and X979 are for topics courses. They are often recycled and used for new or experimental courses.", "name" : "Topics in PSYC" },