Santa Clara University

Leavey School of Business

Course Descriptions


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

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 2355. Computer-Based Decision Models
Integrative course focuses on using computer-based models to improve managerial decision-making. Treats rigorous formulation of business decision problems, computer-based solution methods, and interpretation of results. Features sensitivity and scenario analysis, mathematical programming and decision analysis. In some cases, simulation may be included. Applies techniques to problems in operations management, finance, accounting, and marketing. Prerequisites: OMIS 2353, and spreadsheet proficiency. (3 units)

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

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

Students who have completed OMIS 353 and OMIS 355 in the pre-2013 curriculum have satisfied the OMIS 3350 and 3352 requirement. Students switching to the 2013 curriculum, who have only completed OMIS 353 – please contact the GBP Office for assistance with completing this requirement, generally by administrative enrollment in OMIS 3352.

OMIS 3357. Operations Management
Surveys methods for planning and executing processes to achieve high quality, low cost, and timely delivery of goods and services. Topics include capacity analysis, forecasting, inventory planning, supply chain management, Lean Production, statistical quality control, aggregate planning, and MRP. Emphasizes operational knowledge that is essential for all other functions in a firm. Prerequisite: OMIS 2355, 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 36**. Experimental Course
Covers special topics; offered on an occasional basis. (3 units)

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