Santa Clara University

Leavey School of Business

Course Descriptions


Professors: Narendra Agrawal, Manoochehr Ghiassi, Chaiho Kim, Steven Nahmias, Stephen A. Smith, S. Andrew Starbird
Associate Professors: Gangshu Cai, Andy A. Tsay (Chair)
Assistant Professors: Ram Bala, Tao Li, Haibing Lu, Sami Najafi-Asadolahi, David Zimbra
Acting Assistant Professor: Yasin Ceran
Joseph S. Alemany Professor: Chaiho Kim
Professors of Practice: Homi Fatemi, Niles Walker

OMIS 351. Mathematical Analysis (Preprogram Competency)
Addresses fundamental concepts and manipulations of differential and integral calculus. Includes mathematical modeling and problem formulation. Must be completed by the end of the student’s first quarter in residence. Graded pass/no pass. Does not count toward degree requirements. Offered in fall quarter only.

OMIS 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. Open to MSF and MSE students only. Prerequisite: Demonstrated math analysis/calculus proficiency. (3 units)

OMIS 3350. Decision Making and Analysis – Part 1
Prerequisite: Demonstrated math analysis/ calculus proficiency. (Part 1 of 6 unit cohort course. Must be taken in sequential quarters.)

OMIS 3352. Decision Making and Analysis – Part 2
(Part 2 of 6 unit cohort course) 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. Prerequisite: OMIS 3350. Must be taken in sequential quarters.

Students who have completed OMIS 353 and OMIS 355 in the old curriculum have satisfied the OMIS 3350 and 3352 requirement. Students switching to the 2013 curriculum, who have only completed OMIS 353 must register for and complete OMIS 355 before Summer 2014 and are not eligible to register for OMIS 3352.

OMIS 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. Prerequisite: OMIS 3352. (3 units)

Students who have completed OMIS 357 have fulfilled the OMIS 3357 requirement and are not eligible to register for this class.

OMIS 3362. Computer Simulation and Modeling
Uses computer simulation to design and operate complex processes or systems. Employs design, validation, operating procedures, and analyzing results of computer simulation experiments. Studies examples of computer simulation applications, including different types of scheduling, such as assembly line and job shop, distribution system design, inventory reordering design, waiting line systems, and manufacturing processing design. Cross-listed as MSIS 626. Credit will not be given for both. Prerequisites: OMIS 353 or OMIS 2353 or OMIS 3350 and knowledge of one programming language. (3 units)

OMIS 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. Cross-listed as MSIS 603. Credit will not be given for both. Prerequisite: Computer experience. (3 units)

OMIS 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. Cross-listed as MSIS 602. Credit will not be given for both. Prerequisite: None. (3 units)

OMIS 3374. Artificial Intelligence
Provides a survey of basic concepts in artificial intelligence and their applications to business-oriented problems. Includes production systems, search techniques, knowledge representation, and inference techniques as well as 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 or OMIS 2353 or OMIS 3350. (3 units)

OMIS 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. Cross- listed as MSIS 604. Credit will not be given for both. Prerequisite: None. (3 units)

OMIS 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. Prerequisite: OMIS 357 or OMIS 3357. (3 units)

OMIS 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. Cross-listed as MSIS 621. Credit will not be given for both. Prerequisite: OMIS 3366 or permission of instructor. (3 units)

OMIS 3388. 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. This course will convey strategies for fulfilling the potential of such supply chains while mitigating the risks. This includes a careful consideration of the make-buy decision, and then guidance for negotiating terms, monitoring performance, and enhancing control of outsourced relationships. Prerequisite: OMIS 357 or OMIS 3357. (3 units)

OMIS 2390/3390. Integrated 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. Prerequisite: MKTG 551 or MKTG 2552 or MKTG 3552. (3 units)

OMIS 3696. Experimental Course
Covers special topics; offered on an occasional basis. (3 units)

OMIS 853. Business Analytics: Statistical Methods and Decision Analysis
Provides an overview of the basic topics in business statistics and integrates that discussion with decision analysis. Topics include basic probability laws’ discrete and continuous probability distributions, sampling distributions, estimation theory, hypothesis testing, simple and multiple regressions, decision trees in deterministic and stochastic environments, and decision trees with sample information. Open to AMBA program students only. (6 units)

OMIS 857. Analysis and Management of Operations
Making effective operational decisions with the help of spreadsheet models is the focus of this course. These methods are based on rigorous formulation of business decision problems, obtaining analytical solutions, and understanding the managerial insights. Operational decisions and analytical techniques related to the production of goods and services will be emphasized. Computer based analysis methods include forecasting, optimization and sensitivity analysis. Operations management topics also include capacity planning, inventory management, materials requirement planning, Lean Production, scheduling, and quality assurance. Open to AMBA program students only. (6 units)

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