Santa Clara University

OMIS : Graduate Courses

 
 
 

Operations Mgmt & Info Sys - Graduate Business

  • 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
  • 3698
    Independent Study
  • 3698
    Independent Study
Brian Moon

Motivated by small classes

Business major transfer finds SCU offers valuable one-on-one learning and hands-on experience.

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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.

Read the full profile »

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