Decision Sciences

College of Business

Dean: Linda Oubre

Department of Decision Sciences

BUS 310
Phone: (415) 338–2138
Email: ds@sfsu.edu
Chair: Susan Cholette
Undergraduate Advisors: Bollapragada, Cholette, Eng, Hasheminia, Miyaoka, Ozsen, Roeder, Saltzman, Soorapanth, Udayabhanu, Zhao

DS 110 Calculus with Business Applications (Units: 3)

Prerequisite: Satisfactory completion of ELM requirement.

Basic quantitative reasoning and employment of fundamental mathematical principles to solve business problems. Elements of calculus, mathematics of finance, and decision-making.
(Note: In order for this course to satisfy General Education, students must earn a C- or CR or higher grade if taken fall 2014 or later.)

Course Attributes:

  • B4: Math/QR

DS 199 Decision Sciences Make-Up (Unit: 1)

Prerequisite: Consent of instructor.

Additional study to make-up for partial equivalents in Decision Sciences courses. May be repeated for a total of 2 units. [Formerly BA 199]

DS 212 Business Statistics I (Units: 3)

Prerequisites: DS 110 or MATH 110 or MATH 226 with grades of C- or better.

Statistical methods essential in solving business problems including probability distributions, estimation and tests of hypotheses, and regression analysis.

DS 312 Data Analysis with Computer Applications (Units: 3)

Prerequisite: DS 212.

Interpretation and presentation of data with business applications, using statistical software packages. Multiple regression, sampling techniques, design and analysis of surveys, analysis of variance, experimental design, and contingency tables. (Plus-minus letter grade only) [Formerly BA 312]

DS 408 Computer Simulation (Units: 3)

Prerequisites: DS 212, ISYS 263. ISYS 263 may be satisfied either by successfully passing the ISYS 263 course or waiver exam in basic computer proficiency and information systems.

Development of computer-based simulation modeling skills, focusing on managerial cases. Experience with professional simulation software. Model formulation, execution, and interpretation of results. Classwork, 2 units; laboratory, 1 unit. (Plus-minus letter grade only) [Formerly BA 408]

DS 411 Decision Modeling for Business (Units: 3)

Prerequisites: DS 110, DS 212, ISYS 263, with grades of C- or better.

Basic concepts of spreadsheet modeling and risk analysis with applications to practical business decision making. Topics include cost and demand modeling, risk analysis, revenue (yield) management, and implementation of decision models using spreadsheets.
(This class cannot be taken after DS 601 and is not applicable towards a DS major or minor.)

DS 412 Operations Management (Units: 3)

Prerequisites: Upper division standing, DS 110 or MATH 110, DS 212, ISYS 263 with grades of C- or better.

Management of manufacturing and service operations. Use of computer-based models. Use of computer-based models. Forecasting, capacity planning, linear programming, inventory management, quality management, and project management.

DS 467 Decision Science Internship (Units: 1-3)

Prerequisites: Two of the following: DS 312, DS 408, DS 601, DS 604, DS 624, and completed application form, consent of instructor.

Provides the opportunity to participate in a semester of field experience. Major report required. May not be used as part of DS concentration. (CR/NC grading only)

DS 601 Applied Management Science (Units: 3)

Prerequisites: DS 110, DS 212, ISYS 263. The ISYS 263 prerequisite may be satisfied either by successfully passing the ISYS 263 course or waiver exam in basic computer proficiency and information systems.

Decision making in business emphasizing computer applications. Development of spreadsheet modeling skills and use of professional software. (Plus-minus letter grade only)

DS 604 Applied Business Forecasting (Units: 3)

Prerequisites: DS 212, DS 412, ISYS 263. The ISYS 263 prerequisite may be satisfied either by successfully passing the ISYS 263 course or waiver exam in basic computer proficiency and information systems.

Business forecasting methodology and applications: quantitative and qualitative approaches to short-, medium-, and long-range forecasting. Practical aspects of forecasting within the business environment. Interrelationships with business planning. (Plus-minus letter grade only) [Formerly BA 604]

DS 612 Data Mining with Business Applications (Units: 3)

Prerequisite: DS 312 or DS 604.

Concepts of modeling and understanding of complex datasets based on advanced statistical methods. Discussion of various supervised and unsupervised learning techniques. Instruction in the use of statistical software such as R, SAS, Stata, etc. (Plus-minus letter grade only)

DS 624 Quality Management (Units: 3)

Prerequisite: DS 212, ISYS 263. ISYS 263 may be satisfied by passing the waiver exam in basic computer proficiency and information systems.

Concepts, methods, and current practices ensuring product and service quality. Applications in manufacturing and service industries: quality as a system, customer-driven quality, continuous process improvement, implementation approaches, and ethical issues. (Plus-minus letter grade only)

DS 655 Sustainable Supply Chain Management (Units: 3)

Prerequisite: DS 412.

Design and management of supply chains, cost-effectiveness, environmental and social responsibility. Includes global facility and network design, aggregate planning, transportation, inventory management. (Plus-minus letter grade only)

DS 660GW Communications for Business Analytics - GWAR (Units: 3)

Prerequisites: Restricted to declared Decision Sciences majors and minors. ENG 214 with a grade of C- or better, DS 412, and at least two DS electives, one of which may be taken concurrently.

Capstone course in Decision Sciences. Communication standards, supply chain management, quality, ethics, and sustainability. Focus on quantitative analysis and communication. Use of computer-based models. (ABC/NC grading only)

Course Attributes:

  • Graduation Writing Assessment

DS 699 Independent Study (Units: 1-3)

Prerequisites: Consent of instructor, adviser, and department chair.

Intensive problem analysis under the direction of a decision sciences faculty member. Open only to upper division students who have demonstrated the ability to do independent work.

DS 767 Decision Sciences Internship (Units: 1-3)

Prerequisites: One 800-level DS course, completed application form, consent of instructor.

Provides the opportunity to participate in a semester of field experience. Major report required. May not be used on ATC. (CR/NC grading only)

DS 812 Data Mining and Advanced Statistical Methods for Business Analysts (Units: 3)

Prerequisite: Graduate standing, DS 853.

Focus on concepts of modeling and understanding of complex datasets based on advanced statistical methods with various supervised and unsupervised learning techniques. Including an overview of relevant algorithms while emphasizing business applications of these tools and use of statistical software commonly used in practice, such as R, Python, SAS, Stata, etc. (Plus-minus letter grade)

DS 816 Seminar in Business Forecasting (Units: 3)

Prerequisite: BUS 786 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Theory and practice of short, medium, and long range forecasting within business environments. Quantitative and qualitative forecasting methods. Mathematical methods covered include time series models, decomposition models, linear and multiple regression models, and may include ARIMA and data mining. (Plus-minus letter grade only)

DS 851 Computer Simulation and Decision-Making (Units: 3)

Prerequisite: BUS 786 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Design and use of computer simulation models in business decision-making. Application to selected problems in various areas of business. (Plus-minus letter grade only) [Formerly BA 851]

DS 852 Managerial Decision Making (Units: 3)

Prerequisite: BUS 786. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Model building for business decision making through data driven analysis. Creation of spreadsheet models to identify choices, formalize trade-offs, specify constraints, perform sensitivity analyses, and analyze the impact of uncertainty. Effective spreadsheet design and use. (Plus-minus letter grade only)

DS 853 Applied Multivariate Analysis (Units: 3)

Prerequisite: BUS 776 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Methods of multivariate data analysis applied to business problems. Mathematical methods covered include simple and multiple regression models, logistic regression models, and time series analysis. Theory and practice within business environments. Project using real data. (Plus-minus letter grade only)

DS 854 Total Quality Systems (Units: 3)

Prerequisite: BUS 786 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Concepts, methods, and current practices used to ensure product and service quality: quality as a system, customer-driven quality, continuous process improvement, quality and productivity, implementation approaches, applications, and ethical issues. (Plus-minus letter grade only)

DS 855 Supply Chain Management (Units: 3)

Prerequisite: BUS 786 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

Supply chain design, planning, and operation. Concepts of competitive strategy and sustainability; aggregate planning and management of the marketing/operations interface; inventory management and procurement strategy; design of supply chain networks; the role of information technology. [Plus-minus letter grade only]

DS 856 Seminar in Project Management (Units: 3)

Prerequisite: BUS 786 or consent of instructor. Restricted to graduate business student; graduate students in other majors with the consent of the Faculty Director of Graduate Programs.

The full range of issues faced by project managers. The project life cycle; technical, human, and organizational issues; planning, scheduling, and controlling the timing, resources, and costs of a project; software usage; case studies. (Plus-minus letter grade only)

DS 862 Machine Learning for Business Analysts (Units: 3)

Prerequisite: Graduate standing; DS 812.

Focus on advanced machine learning methods, including supervised and unsupervised learning techniques used to extract valuable information from quantitative and text data. Includes an overview of relevant algorithms while emphasizing business applications of the tools with a focus on commonly-used statistical software, e.g., R and Python, and how to apply the techniques learned in class. (Plus-minus letter grade)

DS 899 Independent Study (Units: 1-3)

Prerequisites: Consent of instructor, adviser, and department chair.

Intensive study of a particular problem under the direction of a business analysis faculty member. Open only to graduate students of demonstrated ability to do independent work. (Plus-minus letter grade only)