Wisconsin School of Business

Rafael (Rafi) Lazimy

Associate Professor - Operations & Information Management

Rafael Lazimy is an associate professor in the Department of Operations and Information Management at the Wisconsin School of Business.
His primary research areas are in:
• Microeconomic Theory:
o New, Unified Approaches o Microeconomic Theory
o Microeconomic Theory of Indivisibility
o Prospect Theory
o Vertical Differentiation under Mixed Market Structures: Price- and Quality-Based Competition
• Optimization and its Applications (Mathematical Programming)
• Multiple Criteria Decision Making/Multiobjective Optimization
• Financial Economics
• Game-Theoretic Modeling:
o New Product Development: Time-to-Market, Product Performance, and Market Performance
o Strategic Information Technology Adoption and Diffusion
o Game-Theoretic Modeling of International Conflicts/Rivalries
• Knowledge-Based Management Systems; Decision-Support Systems; Integrated Modeling Systems

He previously chaired the Operations and Information Management Department.

He received his DBA from Harvard University’s Graduate School of Business Administration.
 

Selected Accepted Journal Articles


Lazimy, R. (2012). Interactive Polyhedral Outer Approximation (IPOA) Methods for General Multiobjective Optimization Problems.
Article AbstractWe propose an interactive polyhedral outer approximation (IPOA) method to solve a broad class of multiobjective optimization problems (MOP) with, possibly, nonlinear and nondifferentiable objective and constraint functions, and with continuous or discrete decision variables. During the interactive optimization phase, the method progressively constructs a polyhedral approximation of the decision-maker’s (DM’s) unknown preference structure, and a polyhedral outer-approximation of the feasible set of MOP. The piecewise linear approximation of the DM’s preferences also provides a mechanism for testing the consistency of the DM's assessments and removing inconsistencies; it also allows post-optimality analysis. All the feasible trial solutions are non-dominated (efficient, or Pareto-optimal) so preference assessments are made in the context of non-dominated alternatives only. Upper and lower bounds on the yet unknown optimal value are produced at every iteration allowing terminating the search prematurely at a good-enough solution and providing information about the closeness of this solution to the optimal solution. The IPOA method includes a preliminary phase in which a limited probe of the efficient set is conducted in order to find a good initial trial solution for the interactive phase. The computational requirements of the algorithm are relatively simple. The results of an extensive computational study are reported.
Annals of Operations Research, doi: 10.1007/s10479-012-1190-6.

Selected Published Journal Articles


Lazimy, R. (2007). Portfolio Selection with Risky Divisible and Indivisible Assets: Mathematical Algorithm and Economic Analysis.
Article AbstractWe extend the classic mean-variance framework to a broad class of investment decisions under risk where investors select optimal portfolios of risky assets that include perfectly divisible as well as perfectly indivisible assets. We develop an algorithm for solving the associated mixed-integer nonlinear program and report on the results of a computational study. We then study the mean-variance structure of the investment frontier facing an individual investor in the presence of investment opportunities in both risky divisible and indivisible assets. Finally, we analyze the economic implications of the presence of investment opportunities in risky indivisible assets on the investor’s investment strategy and on his risk evaluation.
Annals of Operations Research (152), 273-295. doi: 10.1007/s10479-006-0141-5.
Lazimy, R. (1993). Object-Oriented Modeling Support System: Model Representation and Incremental Modeling. Twenty-Sixth Annual Hawaii International Conference on Systems Sciences, IEEE Computer Society Press (3), 445-460. doi: 10.1109/HICSS.1993.284343.
Lazimy, R. (1991). A Deductive Approach for Problem Representation and Modeling Support: Conceptual Schema and Object-Oriented Models. Twenty-Fourth Hawaii International Conference on Systems Sciences, IEEE Computer Society Press (3), 291-305. doi: 10.1109/HICSS.1991.184157.
Lazimy, R. (1990). E2R Model and Object-Oriented Representation for Data Management, Process Modeling, and Decision Support. Entity-Relationship Approach to Database Design and Querying, in: F. H. Lochovsky (ed. ) Elsevier Science Publishers B.V. (North-Holland) (Entity-Relationship Approach to Database Design and Querying, Elsevier Science Publishers B.V. (North-Holland), 1990.), pp. 129 -151.
Lazimy, R. (1988). An Exact Penalty Function and Relaxation Approach for Solving Decomposable Nonlinear Programs. SIAM Journal on Control and Optimization (26), 127-137. doi: 10.1137/0326008.
Lazimy, R. (1988). Knowledge Representation and Modeling Support in Knowledge-Based Systems. Entity-Relationship Approach, Elsevier Science Publishers B. V. (North-Holland) (S. T. March (ed.)) (S. T. March (ed.), Entity-Relationship Approach, Elsevier Science Publishers), 133-161.
Lazimy, R. (1987). A Generic Shell Approach for Knowledge Elicitation and Representation in IDSS. Proceedings of the Eighth Annual International Conference on Information Systems (Proceedings of the Eighth Annual International Conference on Information Systems), 335-350.
Lazimy, R. (1986). Extension of the Generalized Benders' Decomposition. Communications in Applied Numerical Methods (2), 195-203. doi: 10.1002/cnm.1630020211.
Lazimy, R. (1986). Interactive Relaxation Method for a Broad Class of Integer and Continuous Nonlinear Multiple Criteria Problems. Journal of Mathematical Analysis and Applications (116), 553-573. doi: 10.1016/S0022-247X(86)80019-1.
Lazimy, R. (1986). Solving Multiple Criteria Problems by Interactive Decomposition. Mathematical Programming (35), 334-361. doi: 10.1007/BF01580884.
Lazimy, R. (1985). Equilibrium in a Market with Divisible and Indivisible Risky Assets. Keio Economic Studies (22), 27-45.
Lazimy, R. (1985). Improved Algorithm for Mixed-Integer Quadratic Programs and a Computational Study. Mathematical Programming (32), 100-113. doi: 10.1007/BF01585661.
Lazimy, R., & Levy, H. (1983). The Effects of Variable and Fixed Transactions Costs on Optimal Investment Decisions. Decision Sciences (14), 527-545. doi: 10.1111/j.1540-5915.1983.tb00204.x.
Lazimy, R. (1982). Mixed-Integer Quadratic Programming. Mathematical Programming (22), 332-349. doi: 10.1007/BF01581047.

Submitted Working Papers


Lazimy, R. A Unified, Non-Utility Framework to Microeconomic Modeling with Multiple Objectives and Multiple Aspiration/Reference Points. Near completion; To be submitted to an Econ journal
Lazimy, R. Microeconomic Theory of Indivisibility: Shadow prices, Opportunity Costs, and Market Failure. To be submitted to an Econ journal
Lazimy, R. Strong Polyhedral Outer-Approximation with Exact Penalty Function for Non-Smooth Nonlinear Optimization Problems. Work is complete; soon to be submitted to an OR journal
Lazimy, R. Target- and Rank-Dependent (TRD) Theory of Choice under Risk. Near completion; to be submitted to an Econ journal
Lazimy, R. The Cost of Indivisibility and the Valuation of Risky Indivisible Investments. Completed;To be submitted

Presentations


INFORMS Annual Meeting ( 2004 ) Optimal Time-to-Market and Product Performance in a Competitive Environment: A Game-Theoretic Approach

INFORMS Annual Meeting ( 2004 ) Timing and Performance Factors in Strategic Information Technology Adoption and Diffusion: A Game-Theoretic Approach

VIGRE Seminar in the Mathematics Department ( 2000 ) Tradeoffs Between Time-to-Market and Product Performance in a Competitive Environment

Twenty-Sixth Annual Hawaii International Conference on Systems Sciences ( 1993 ) Object-Oriented Modeling Support System: Model Representation and Incremental Modeling

ORSA/TIMS National Meeting, Orlando, April 1992 ( 1992 ) Accelerated Outer-Linearization for Mixed-Integer/Large-Scale or Non-Smooth Nonlinear Programs

Forschungsinstitut fur Anwendungsori-entierte Wissensverarbeitung (FAW) (Artificial Intelligence Laboratory), Ulm, West Germany ( 1991 ) Integrated Intelligent Modeling System based on the Object-Oriented Representation

Twenty-Fourth Annual Hawaii International Conference on System Sciences ( 1991 ) A Deductive Approach for Problem Representation and Modeling Support: Conceptual Schema and Object-Oriented Models

ORSA/TIMS National Meeting, Las Vegas ( 1990 ) Proposed Knowledge-Base Design for Data Management, Process Modeling, and Decision Support

8th International Conference on Equity-Relationship Approach ( 1989 ) E2R Model and Object-Oriented Representation for Data Management, Process Modeling, and Decision Support

ORSA/TIMS National Meeting, Denver ( 1988 ) Object-Oriented Approach to Integrated Modeling and Decision Support System: The Modeling Support System

8th Annual International Conference on Information Systems ( 1987 ) A Generic Shell Approach for Knowledge Elicitation and Representation in IDSS

6th International Conference on Entity-Relationship Approach ( 1987 ) Knowledge Representation and Modeling Support in Knowledge-Based Systems

ORSA/TIMS National Meeting, St. Louis ( 1987 ) Interactive Programming Algorithms for Continuous and Integer Nonlinear Multiple Criteria Problems

ORSA/TIMS National Meeting, St. Louis ( 1987 ) Knowledge Representation and Modeling Support in Knowledge-Based Systems

12th International Symposium on Mathematical Programming ( 1985 ) On Generalized Benders' Decomposition

University of Illinois-Champaign/Urbana, College of Commerce and Business Administration ( 1985 ) Mixed-Integer Portfolio Selection Decisions

University of Illinois-Champaign/Urbana, College of Commerce and Business Administration ( 1984 ) Multiple Criteria Decision Making

Tel-Aviv University, Faculty of Management, Faculty Research Seminar in Operations Research ( 1982 ) Decomposition and Relaxation in Mathematical Programming

State University of New York, Buffalo, School of Business ( 1981 ) Mixed-Integer Quadratic Programming Algorithms and a Computational Study

The University of Texas at Austin, Department of Accounting Research Colloquium ( 1981 ) Portfolio Selection with Divisible and Indivisible Risky Assets

Tel-Aviv University, Faculty of Management, Faculty Research Seminar in Operations Research ( 1980 ) Mixed-Integer Quadratic Programming

The Hebrew University, Graduate School of Business Administration, Faculty Research Seminar ( 1980 ) Variable and Fixed Transaction Costs and Optimal Portfolio Selection

TIMS/ORSA Joint National Meeting in San Francisco, CA ( 1977 ) An Interactive Programming Method for Solving a Class of Discrete Multiple Criteria Problems

TIMS/ORSA Joint National Meeting in San Francisco, CA ( 1977 ) An Interactive Programming Method for Solving the Multiple Criteria Problem


Undergraduate Courses


Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(MIS 424), Fall 2002.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(MIS 424), Spring 2002.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S 424), Fall 2003.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S 424), Fall 2004.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(MIS 424), Spring 2001.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(MIS 422), Fall 2001.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(MIS 422), Fall 2002.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422), Fall 2003.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422), Fall 2004.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422), Fall 2005.

Computer-Based Dada Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422), Fall 2006.

Computer-Based Dada Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422 Section 002), Fall 2007.



Graduate Courses


Rdg&Rsch-Operations&Info Mgmt (OTM/OTM 999 Section 043), Fall 2007.

Rdg&Rsch-Operations&Info Mgmt (OTM/OTM 999 Section 043), Fall 2006.

Rdg&Rsch-Operations&Info Mgmt (OTM/OTM 999 Section 043), Fall 2005.

Rdg&Rsch-Operations&Info Mgmt (OTM/OTM 999 Section 043), Spring 2005.

Reading and Research ( 999), Spring 2005.

Reading and Research in OIM Ph.D. ( 999), Fall 2004.

Reading and Research in OIM Ph.D. ( 999), Spring 2004.

Reading & Research in OIM (OTM 999), Fall 2007.

Rdg&Rsch- Operations&Info Mgmt (OTM/OTM 799 Section 43), Spring 2008.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(MIS 724), Spring 2001.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(MIS 722), Fall 2001.

Computer-Based Data Management
Course DescriptionUse, control and administration of centralized and distributed data bases. Topics include the definition, design, creation, revision, interrrogation, update, security and integrity of data bases.
(MIS 722), Fall 2002.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 722), Fall 2003.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 722), Fall 2005.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 722), Fall 2006.

Computer-Based Dada Management: Business Intelligence
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 722 Section 002), Fall 2007.



Combined Undergraduate & Graduate Courses


Computer-Based Data Mgt
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 1), Summer 2008.

Computer-Based Data Mgt
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 2), Fall 2008.

Analysis & Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724 Section 1), Fall 2008.

Contemporary Topics: Database Concepts for Operations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 365/765 Section 1), Fall 2008.

Computer-Based Data Mgt
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(MIS/MIS 422/722 Section 1), Summer 2009.

Analysis and Design of Computer-Based Systems
Course DescriptionAnalysis of business systems to identify possible need for new or improved computer-based systems and the design of systems to meet those needs.
(INS/INS 724/424), Spring 2002.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(MIS/MIS 422/722), Summer 2002.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722), Summer 2003.

Computer-Based Data Management
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724), Spring 2005.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 724/424), Fall 2005.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 722/422), Summer 2005.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 1), Spring 2010.

Analysis & Design of Computer-Nased Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724 Section 1), Spring 2010.

Contemporary Topics: Database Concepts for Operations Mangement
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 365/765 Section 1), Spring 2010.

Database Concepts for Oprations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 365/765 Section 001), Fall 2006.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724 Section 1), Fall 2010.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S 422/722 Section 2), Fall 2010.

Contemporary Topics: Database Concepts for Operations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 765/365 Section 1), Fall 2010.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 1), Summer 2010.

Contemporary Topics: Database Concepts for Operations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 365/765 Section 1), Spring 2011.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S/OTM/OTM 722/422/765/365 Section 1), Summer 2011.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 2), Fall 2011.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724 Section 1), Fall 2011.

Database Management and Applications/Database Concepts for Operations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 442/765 Section 1), Fall 2011.

Analysis and Design of Computer-Based Systems
Course DescriptionUsing information technologies to provide effective solutions to business problems. Analysis of business processes, the flow of data and information, and process improvement. The Systems Development Life Cycle for developing computer-based information systems: Analysis, Design, and Implementation. Methodologies for systems development. Developing web-based systems with ASP.NET. Student teams perform analysis, design, and implementation of 3-tier, client-server systems for actual, real-world businesses (project work).
(I S/I S 424/724 Section 1), Spring 2012.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 722/422 Section 2), Fall 2012.

Database Management and Applications
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 442/765 Section 1), Fall 2012.

Database Concepts for Operations Management
Course DescriptionDatabase and systems development course open to ALL students. The role of information systems and information technologies in business. Analysis of information requirements to support business processes and decision-making. Design of conceptual data model. Design of relational databases. Learning Structured Query Language (SQL) for creating and manipulating databases. Learning Microsoft ACCESS. Student teams develop ACCESS-based information systems for actual, real-world business (project work).
(OTM/OTM 365/765 Section 001), Fall 2007.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 422/722 Section 001), Summer 2007.

Computer-Based Data Management
Course DescriptionAnalysis of data and information requirements to support business processes and decision-making. Developing conceptual data models to represent complex information requirements. Developing relational database models. Learning Structured Query Language (SQL) to create relational relational databases, and other state-of-the-art database information technologies. developing database-driven applications for actual, real-world businesses (project work, done in teams).
(I S/I S 722/422 Section 1), Summer 2007.



Editorial and Reviewing Activities


Annals of Operations Research - January 2011 - December 2011
Ad Hoc Reviewer


Photograph of Rafael Lazimy

Rafael (Rafi) Lazimy

 
Associate Professor | Operations & Information Management
(608) 262-3950
4269 Grainger Hall