Santa Clara University

OMIS : Graduate Courses

 
 
 

Operations Mgmt & Info Sys - Graduate Business

  • 351
    Mathematical Analysis
    Preprogram Competency. Fundamental concepts and manipulations of differential and integral calculus. Mathematical modeling and problem formulation. Must be completed by the end of the student's first quarter in residence.
  • 353
    Statistical Methods
    Introduction to probability and statistical analysis, emphasizing applications to managerial decision problems. Topics include descriptive statistics, probability theory, sampling techniques, statistical estimation, hypothesis testing, and simple and multiple regression. Additional coverage may include exploratory data analysis, analysis of variance, and contingency tables. Prerequisite: Demonstrated Math Analysis/Calculus proficiency.
  • 355
    Computer Based Decision Models
    Integrative course focusing on the use of computer-based models to improve managerial decision making. Teaches rigorous formulation of business decision problems, computer-based solution methods, and interpretation of results. Methods include forecasting, sensitivity and scenario analysis, linear programming, decision trees, and simulation. Applies techniques to problems in operations management, finance, accounting, and marketing. Prerequisites: ACTG 300, OMIS 353, and spreadsheet proficiency.
  • 355
    Computer-Based Decision Models
    Integrative course focusing on the use of computer-based models to improve managerial decision-making. Teaches rigorous formulation of business decision problems, computer-based solution methods, and interpretation of results. Methods include forecasting, sensitivity and scenario analysis, linear programming, decision trees, and simulation. Applies techniques to problems in operations management, finance, accounting, and marketing. Prerequisites: OMIS 353 and spreadsheet proficiency.
  • 357
    Operations Management
    Survey of problems and analytical techniques related to the production of goods and services. Topics include aggregate planning, demand forecasting, inventory control, materials requirement planning, just-in-time systems, scheduling, and quality control. Case studies may be included to facilitate class discussions and to emphasize an integrated approach to decision making. Prerequisites: OMIS 353 and OMIS 355.
  • 360
    Sem Manufacturing Mgmt
  • 362
    Computer Simulation & Modeling
    Use of computer simulation to design and operate complex processes or systems. Design, validation, operating procedures, and analysis of results of computer simulation experiments. Study of examples of the applications of computer simulations, including different types of scheduling, such as assembly line and job shop; distribution system design; inventory reordering design; waiting line systems; and the manufacturing processing design. Cross-listed as MSIS 626. Credit will not be given for both. Prerequisites: OMIS 353 and knowledge of one programming language.
  • 366
    Database Management Systems
    This course aims to give an understanding of and hands-on experience with the most widely used database tools. The objective of this course is to convey intermediate to advanced database concepts and to acquaint students with state-of-the-art software tools. The course will rely on classroom discussions, media articles and cases, as well as programming exercises and an integrative group project. Use of database software is required. A lab fee is required. Cross-listed as MSIS 603. Credit will not be given for both. Prerequisite: Experience with computer usage.
  • 368
    Software Project Management
    An overview of software project development methodology, covering both technical and managerial aspects of software development. Examines alternate software life cycle models and introduces modern techniques for definition, design, implementation, and validation of software products. Cross-listed as MSIS 606. Credit will not be given for both. Prerequisite: Knowledge of or experience with a high-level programming language or permission of instructor.
  • 372
    Information Systems Analysis & Design
    Methodology to assist in the analysis and design of computer-based information systems for business applications. Tools include data flow diagrams, flowcharts, Structured English, pseudo code, hierarchy charts, structure diagrams, and Warnier-Orr charts. Application of these tools to a systems development project is required. Cross-listed as MSIS 602. Credit will not be given for both. Prerequisite: None.
  • 374
    Artificial Intelligence
    Survey of basic concepts in artificial intelligence and their applications for business-oriented problems. Production systems, search techniques, knowledge representation, and inference techniques. Uses of calculus, statistical and probabilistic reasoning, design and implementation of expert systems, and understanding natural languages. Entails application developments using Expert System shells. Prerequisite: OMIS 353.
  • 378
    Information Systems Policy and Strategy
    Strategic management and deployment of information systems and technologies (ISTs) to improve business competitiveness. An examination of the role of IST strategy in enabling companies to effectively manage in the turbulent and dynamic business environment brought about by the Internet. Analysis of new business opportunities in electronic commerce brought about by ISTs, including organizational redesign that these technologies require. An examination of implementation and change management issues related to IST deployment in the new environment. Focuses on drawing lessons from the experiences of leading companies that are deploying ISTs to define and support their e-commerce strategies. Cross-listed as MSIS 604. Credit will not be given for both. Prerequisite: None.
  • 382
    Quality Control Food Ind
  • 384
    Supply Chain Management
    Focuses on the key challenges and issues relating to the design, analysis, and management of manufacturing and logistics systems for gaining competitive advantage through adaptive and time-responsive supply chains. Topics include the role of information technology in logistics, rapid logistics, inventory and capacity planning, supplier relationships, supply chain network design, and managing product proliferation. Prerequisite: OMIS 357.
  • 386
    Business Intelligence & Data Warehousing
    Topics covered will include building systems and interfaces to collect data from the traditional data source as well as from Web browsers; transforming and loading such data into data warehouses and data marts; and extracting information from the traditional data warehouses, as well as from Web-enabled data warehouses. Also covers building multidimensional data cubes, OLAP servers and clients, data mining, and building infrastructure to support real-time customer relationship management. There will be hands-on exercises and a group project. A lab fee is required. Cross-listed as MSIS 621. Credit will not be given for both. Prerequisite: None.
  • 386
    Business Intelligence and Data Warehousing
    Topics covered will include building systems and interfaces to collect data from the traditional data source as well as from Web browsers; transforming and loading such data into data warehouses and data marts; and extracting information from the traditional data warehouses, as well as from Web-enabled data warehouses. Also covers building multidimensional data cubes, OLAP servers and clients, data mining, and building infrastructure to support real-time customer relationship management. There will be hands-on exercises and a group project. A lab fee is required. Cross-listed as MSIS 621. Credit will not be given for both. Prerequisite: none.
  • 388
    Supply Chain Outsourcing
    In many products' path to market, the outsourcing of even more functions, including product design, materials procurement, manufacturing, and logistics, has created supply chains with unprecedented capabilities, as well as novel forms of dysfunction. For managers contemplating what to outsource, this course will frame the make-buy decision. For managers of outsourced functions, this course will offer guidance for negotiating terms, monitoring performance, and enhancing control. Prerequisite: OMIS 357.
  • 390
    New Product Development
    This course introduces students to the methods that high technology companies use to develop and release new products and services. Focus is on practical tools and techniques that students can apply in current or future positions. The central element of the course is a team project where students develop a new product or service. Guest lecturers from industry will share their experiences. Topics include: -Developing customer and user requirements -Concept development and selection -Developing the business case -Cross functional program management -Product architecture, testing, and release -Metrics, information systems, and portfolio management Prerequisite: OMIS 357 (3 units)
  • 696
    Special Topics
    Covers special topics; offered on an occasional basis.
  • 698
    Independent Study
  • 699
    Master's Thesis
  • 701
    Application of Data Analysis
  • 702
    Economics of Quality
    This course will address the effect of quality control and improvement efforts on the profitability of competitive firms. In a typical quality control class, students focus on the statistical issues of measuring and monitoring system performance in terms of quality. This class goes one step further by using cost and profitability to measure the firms performance in terms of quality. Prerequisite: Math analysis/calculus proficiency. Concentration: none.
  • 853
    Business Analytics: Statistical Methods and Decision Analysis
    This course is designed to provide an overview of the basic topics in business statistics as well as integrating that discussion with decision analysis. Topics include basic probability laws including Venn diagrams, unions and intersections, discrete and continuous probability distributions, sampling distributions, estimation theory, hypothesis testing, and regression analysis. In addition, we will discuss decision trees in deterministic and stochastic environments, and applying Bayes Theorem to decision trees using sample information.
  • 855
    Computer Based Decision Models and Effective Operations Management
    Integrative course focusing on the use of computer-based models to improve managerial decision making. Teaches rigorous formulation of business decision problems, computer-based solution methods, and interpretation of results. Methods include forecasting, sensitivity and scenario analysis, linear programming, decision trees, and simulation. Proceeds to survey problems and analytical techniques related to the production of goods and services. Topics include aggregate planning, demand forecasting, inventory control, materials requirement planning, just-in-time systems, scheduling, and quality control. Case studies may be included to facilitate class discussions and to emphasize an integrated approach to decision making.
  • 857
    Analysis and Management of Operations
    Making effective operational decisions with the help of spreadsheet models is the focus of this course. The emphasis is on rigorous formulation of business decision problems, obtaining computer-based solutions, and understanding managerial of goods of goods and services will be covered. Computer-based methods include forecasting, optimization and sensitivity analysis. Operations management topics also include aggregate capacity planning, inventory management, materials requirement planning, just-in-time systems, scheduling, and quality management.
  • 859
    Supply Chain Management
    Focuses on the key challenges and issues relating to design analysis and management of manufacturing and logistics systems for gaining competitive advantage through adaptive and time responsive supply chains. Topics include the role of information technology in logistics, rapid logistics, inventory and capacity planning, supplier relations, supply chain network design, and managing product proliferation.
  • 2353
    Statistical Methods
    Introduces probability and statistical analysis, emphasizing applications to managerial decision problems. Discusses descriptive statistics, probability theory, sampling distributions, statistical estimation, hypothesis testing, and simple and multiple regressions. Additional topics may include exploratory data analysis, analysis of variance, and contingency tables.
  • 2355
    Computer-Based Decision Models
    Integrative course focusing on the use of computer-based models to improve managerial decision-making. Teaches rigorous formulation of business decision problems, computer-based solution methods, and interpretation of results. Methods include forecasting, sensitivity and scenario analysis, linear programming, decision trees, and simulation. Applies techniques to problems in operations management, finance, accounting, and marketing.
  • 2390
    New Product Development
    Introduces students to the methods companies use to develop and release new products. New product development is a challenging, rewarding activity that can make the difference between success or failure for a company, especially in technology-based industries. The traditional view that new product development is an art practiced by engineers has now given way to an understanding that it is a discipline that must be learned and practiced to be successful. Examines the sequence of activities needed to successfully develop and launch a new product or service; understand how the different functions and roles in product development interrelate and work together; learn how to balance strategic and tactical activities in successful product development; develop a better understanding of how to determine and satisfy customer needs; understand the financial aspects of product development; develop the skills to analyze and improve product development efforts within a company
  • 3350
    Decision Making and Analysis I
    (Part 1 of 6 units series)The widespread use of the Internet and the increased power of computing resources have created new sources of data and new capabilities for analysis. More than ever, statistical methods and optimization techniques play a fundamental role in understanding consumer related data and incorporating it into business the decision making. This course will provide an integrated treatment of analytical methodologies applied to these important areas. Included is a discussion of basic probability theory including random variables and distributions, basic statistical theory including estimation and hypothesis testing, and both simple and multiple regression. These topics will be integrated with decision analysis and basic optimization including linear, integer, and non-linear methods. Examples will be drawn from modern applications of these methods.
  • 3352
    Decision Making & Analysis II
    (Part 2 of 6 unit series) The widespread use of the Internet and the increased power of computing resources have created new sources of data and new capabilities for analysis. More than ever, statistical methods and optimization techniques play a fundamental role in understanding consumer related data and incorporating it into business the decision making. This course will provide an integrated treatment of analytical methodologies applied to these important areas. Included is a discussion of basic probability theory including random variables and distributions, basic statistical theory including estimation and hypothesis testing, and both simple and multiple regression. These topics will be integrated with decision analysis and basic optimization including linear, integer, and non-linear methods. Examples will be drawn from modern applications of these methods.
  • 3357
    Operations Management
    Examines analysis, design, and implementation of enterprise information systems as they relate to the accounting function and corporate financial management. Emphasizes learning not only what functions the systems provide, but also understanding their technological structure and linkages with business strategy. Moreover, enables students to recognize organizational situations for which information system controls and assurance would help achieve organizational goals, and to participate in planning, development, and implementing control devices in highly automated contexts.
  • 3366
    Database Management Systems
    Introduces database management and database management systems (DBMS). Teaches technical and managerial skills in database planning, analysis, logical design, physical design, implementation, and maintenance. Features hands-on training in database design, development, and implementation using relational DBMS software. Emphasizes designing and developing reliable databases to support organizational management.
  • 3368
    Software Project Management
    Provides an overview of software project development methodology, covering both technical and managerial aspects of software development. Examines alternate software life cycle models and introduces modern techniques for software definition, design, implementation, and validation of software products.
  • 3372
    Information Systems Analysis and Design
    Examines methodology to assist in analyzing and designing computer-based information systems for business applications. Features tools including data flow diagrams, flowcharts, Structured English, pseudo code, hierarchy charts, structure diagrams, and Warnier-Orr charts. Requires applying these tools to a systems development project.
  • 3378
    Information Systems Policy and Strategy
    Studies strategic management and deployment of information systems and technologies (ISTs) to improve business competitiveness. Examines of the role of IST strategy in enabling companies to effectively manage in the turbulent and dynamic business environment brought about by the Internet. Analyzes new business opportunities in electronic commerce brought about by ISTs, including organizational redesign that these technologies require. Considers implementation and change management issues related to IST deployment in the new environment. Focuses on drawing lessons from the experiences of leading companies that are deploying ISTs to define and support their e-commerce strategies.
  • 3384
    Supply Chain Management
    Focuses on the key challenges and issues relating to design, analysis, and management of manufacturing and logistics systems to gain competitive advantage through adaptive and time-responsive supply chains. Includes topics on the role of information technology in logistics, rapid logistics, inventory and capacity planning, supplier relationships, supply chain network design, and managing product proliferation.
  • 3386
    Business Intelligence and Data Warehousing
    Introduces technologies and managerial issues related to data warehousing, business intelligence, decision support systems, data mining, Web mining, and customer relationship management. Teaches technical and managerial skills in using and developing decision support applications. Emphasizes learning how to derive business value from large amounts of data. Provides hands-on training using a variety of BI tools.
  • 3390
    New Product Development
    Introduces students to the methods companies use to develop and release new products. New product development is a challenging, rewarding activity that can make the difference between success or failure for a company, especially in technology-based industries. The traditional view that new product development is an art practiced by engineers has now given way to an understanding that it is a discipline that must be learned and practiced to be successful. Examines the sequence of activities needed to successfully develop and launch a new product or service; understand how the different functions and roles in product development interrelate and work together; learn how to balance strategic and tactical activities in successful product development; develop a better understanding of how to determine and satisfy customer needs; understand the financial aspects of product development; develop the skills to analyze and improve product development efforts within a company
  • 3696
    Experimental Course/Special Topics
David Zimbra

Using information better

Technology and business go hand in hand for this alumnus, who has predicted water demands and forecasted sales for companies.

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Manoochehr Ghiassi

Modeling the future

Information systems professor develops a model that predicts water distribution downtown.

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