MESG - Decision Support Systems - Revision history

Adminsske at 23:47, 18 May 2012

2012-05-18T23:47:24Z

← Older revision		Revision as of 23:47, 18 May 2012
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	- understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring;<br/>- be able to create spreadsheet models and develop tools for decision support;<br/>- use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria;<br/>- be able to perform data analysis and modelling, as well as sensitivity and scenario analysis;<br/>- use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems;<br/>- understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.		- understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring;<br/>- be able to create spreadsheet models and develop tools for decision support;<br/>- use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria;<br/>- be able to perform data analysis and modelling, as well as sensitivity and scenario analysis;<br/>- use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems;<br/>- understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.

−	=== <br/>~~'''~~Program~~'''~~ ===	+	=== <br/>Program ===

	1.<br/>Organizations and decision processes. Decision levels, complexity and analysis paradigms.<br/>The role of quantitative models and methods in decision making.<br/>The use of spreadsheets.<br/><br/>2.<br/>Structuring of decision processes. Influence diagrams.<br/>Fundamental skills in spreadsheet modelling.<br/>Organization of models in spreadsheets.<br/><br/>3.<br/>Formulation of problems and optimization models: linear programming and extensions. Optimization methods and computational tools for optimizations.<br/>Transportation and assignment problems.<br/><br/>4.<br/>Network problems: floex, paths; trees - models and algorithms.<br/>Combinatorial optimization problems: heuristic method for practical problems solution - design and implementation.<br/>Integer programming models.<br/><br/>5.<br/>Decision Theory and Multicriteria Analysis topics. Situations of risk and uncertainty.<br/>Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Sensitivity and "what-if" analysis.<br/><br/>6.<br/>Simulation models: general structure and domain of application. Queues: brief introduction to theory, models and applications. Statistical and event-driven simulation. Simulation and decision support.		1.<br/>Organizations and decision processes. Decision levels, complexity and analysis paradigms.<br/>The role of quantitative models and methods in decision making.<br/>The use of spreadsheets.<br/><br/>2.<br/>Structuring of decision processes. Influence diagrams.<br/>Fundamental skills in spreadsheet modelling.<br/>Organization of models in spreadsheets.<br/><br/>3.<br/>Formulation of problems and optimization models: linear programming and extensions. Optimization methods and computational tools for optimizations.<br/>Transportation and assignment problems.<br/><br/>4.<br/>Network problems: floex, paths; trees - models and algorithms.<br/>Combinatorial optimization problems: heuristic method for practical problems solution - design and implementation.<br/>Integer programming models.<br/><br/>5.<br/>Decision Theory and Multicriteria Analysis topics. Situations of risk and uncertainty.<br/>Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Sensitivity and "what-if" analysis.<br/><br/>6.<br/>Simulation models: general structure and domain of application. Queues: brief introduction to theory, models and applications. Statistical and event-driven simulation. Simulation and decision support.
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	Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].		Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].

−	~~[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management\| ]]~~[[SSKE Knowledge/isTaughtBy::Sousa,Jorge Pinho \| ]]	+	[[SSKE Knowledge/isTaughtBy::Sousa,Jorge Pinho \| ]]

	[[Category:SSKE Knowledge/University Course\|SSKE_Knowledge/University_Course]]		[[Category:SSKE Knowledge/University Course\|SSKE_Knowledge/University_Course]]

Adminsske at 23:46, 18 May 2012

2012-05-18T23:46:59Z

← Older revision		Revision as of 23:46, 18 May 2012
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	<span style="font-size:large">[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management]]</span>		<span style="font-size:large">[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management]]</span>

−	== Decision Support Systems Course ==	+	<span style="font-size:large">Decision Support Systems Course</span>

−	~~'''~~Objectives, Skills and Learning Outcomes'''<br/><br/>- understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring;<br/>- be able to create spreadsheet models and develop tools for decision support;<br/>- use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria;<br/>- be able to perform data analysis and modelling, as well as sensitivity and scenario analysis;<br/>- use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems;<br/>- understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.	+	=== Objectives, Skills and Learning Outcomes ===

−	~~<br/>'''Program'''<br/><br/>1.<br/>Organizations and decision processes. Decision levels,~~ complexity and ~~analysis paradigms.<br/>The role of~~ quantitative ~~models~~ and ~~methods in~~ decision making~~.<br/>The use of spreadsheets.<br/><br/>2.<br/>Structuring of decision~~ processes~~. Influence diagrams.~~<br/>~~Fundamental skills in~~ spreadsheet ~~modelling.<br/>Organization of~~ models ~~in spreadsheets.<br/><br/>3.<br/>Formulation of problems~~ and ~~optimization models: linear programming and extensions. Optimization methods and computational~~ tools for ~~optimizations.<br/>Transportation and assignment problems.<br/><br/>4.<br/>Network problems: floex, paths~~; ~~trees - models and algorithms.~~<br/>~~Combinatorial optimization problems: heuristic method for practical problems solution~~ - ~~design~~ and ~~implementation.<br/>Integer programming models.<br/><br/>5.<br/>~~Decision Theory and Multicriteria Analysis ~~topics. Situations of risk~~ and ~~uncertainty.~~<br/>~~Structuring of decision alternatives~~ and ~~criteria. Decision trees. Decision problems with multiple criteria. Sensitivity~~ and ~~"what-if"~~ analysis.<br/><br/>~~6.<br/>Simulation models: general structure and domain~~ of ~~application. Queues: brief introduction~~ to ~~theory, models and applications. Statistical and event-driven simulation. Simulation and decision support~~.	+	- understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring;<br/>- be able to create spreadsheet models and develop tools for decision support;<br/>- use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria;<br/>- be able to perform data analysis and modelling, as well as sensitivity and scenario analysis;<br/>- use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems;<br/>- understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.

−	~~Visit the [http:~~/~~/sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO~~=~~ESG0005&P_ANO_LECTIVO~~=~~2011/2012&P_PERIODO~~=~~1S Decision Support Systems Course Site].~~	+	=== <br/>'''Program''' ===

−	[~~[Category~~:~~SSKE Knowledge~~/~~University~~ Course]]	+	1.<br/>Organizations and decision processes. Decision levels, complexity and analysis paradigms.<br/>The role of quantitative models and methods in decision making.<br/>The use of spreadsheets.<br/><br/>2.<br/>Structuring of decision processes. Influence diagrams.<br/>Fundamental skills in spreadsheet modelling.<br/>Organization of models in spreadsheets.<br/><br/>3.<br/>Formulation of problems and optimization models: linear programming and extensions. Optimization methods and computational tools for optimizations.<br/>Transportation and assignment problems.<br/><br/>4.<br/>Network problems: floex, paths; trees - models and algorithms.<br/>Combinatorial optimization problems: heuristic method for practical problems solution - design and implementation.<br/>Integer programming models.<br/><br/>5.<br/>Decision Theory and Multicriteria Analysis topics. Situations of risk and uncertainty.<br/>Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Sensitivity and "what-if" analysis.<br/><br/>6.<br/>Simulation models: general structure and domain of application. Queues: brief introduction to theory, models and applications. Statistical and event-driven simulation. Simulation and decision support.
		+
		+	Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].

	[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management\| ]][[SSKE Knowledge/isTaughtBy::Sousa,Jorge Pinho \| ]]		[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management\| ]][[SSKE Knowledge/isTaughtBy::Sousa,Jorge Pinho \| ]]
		+
		+	[[Category:SSKE Knowledge/University Course\|SSKE_Knowledge/University_Course]]

Adminsske at 23:45, 18 May 2012

2012-05-18T23:45:25Z

← Older revision		Revision as of 23:45, 18 May 2012
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−	== [[~~Index.php~~/FEUP MESG - Services Engineering and Management~~\|Service Engineering and Management MESG Master Program~~]] ==	+	<span style="font-size:large">[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management]]</span>

	== Decision Support Systems Course ==		== Decision Support Systems Course ==

Adminsske at 13:20, 15 May 2012

2012-05-15T13:20:43Z

← Older revision		Revision as of 13:20, 15 May 2012
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−	== [[~~index~~.php/~~FEUP_MESG_~~-~~_Services_Engineering_and_Management~~\|Service Engineering and Management MESG Master Program]] ==	+	== [[Index.php/FEUP MESG - Services Engineering and Management\|Service Engineering and Management MESG Master Program]] ==

	== Decision Support Systems Course ==		== Decision Support Systems Course ==
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	Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].		Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].

−	~~<br~~/>	+	[[Category:SSKE Knowledge/University Course]]
		+
		+	[[SSKE Knowledge/isPartOfProgram::FEUP MESG - Services Engineering and Management\| ]][[SSKE Knowledge/isTaughtBy::Sousa,Jorge Pinho \| ]]

Adminsske: Created page with "== Service Engineering and Management MESG Master Program == == Decision Support Systems Course == '''Objectives, ..."

2012-05-15T13:19:10Z

Created page with "== Service Engineering and Management MESG Master Program == == Decision Support Systems Course == '''Objectives, ..."

New page

== [[index.php/FEUP_MESG_-_Services_Engineering_and_Management|Service Engineering and Management MESG Master Program]] ==

== Decision Support Systems Course ==

'''Objectives, Skills and Learning Outcomes''' - understand the complexity and quantitative and qualitative aspects of decision making processes, using simple approaches for their structuring; - be able to create spreadsheet models and develop tools for decision support; - use general concepts and principles of Decision Theory and Multicriteria Analysis, to structure decision alternatives and criteria; - be able to perform data analysis and modelling, as well as sensitivity and scenario analysis; - use optimization, heuristic and simulation models and algorithms, to suppor the solution of decision problems; - understand the problems associated with the design of Decision Support Systems e be able to contribute to their specification.

 '''Program''' 1. Organizations and decision processes. Decision levels, complexity and analysis paradigms. The role of quantitative models and methods in decision making. The use of spreadsheets. 2. Structuring of decision processes. Influence diagrams. Fundamental skills in spreadsheet modelling. Organization of models in spreadsheets. 3. Formulation of problems and optimization models: linear programming and extensions. Optimization methods and computational tools for optimizations. Transportation and assignment problems. 4. Network problems: floex, paths; trees - models and algorithms. Combinatorial optimization problems: heuristic method for practical problems solution - design and implementation. Integer programming models. 5. Decision Theory and Multicriteria Analysis topics. Situations of risk and uncertainty. Structuring of decision alternatives and criteria. Decision trees. Decision problems with multiple criteria. Sensitivity and "what-if" analysis. 6. Simulation models: general structure and domain of application. Queues: brief introduction to theory, models and applications. Statistical and event-driven simulation. Simulation and decision support.

Visit the [http://sigarra.up.pt/feup_uk/disciplinas_geral.FormView?P_CAD_CODIGO=ESG0005&P_ANO_LECTIVO=2011/2012&P_PERIODO=1S Decision Support Systems Course Site].