Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5894. Seminar

1.00 - 6.00 credits | May be repeated for a total of 18 credits.

Prerequisites: None.

Grading Basis: Graded

Introduces many of the most exciting concepts emerging in the field of consumer oriented Internet-working, including high speed access [cable modem, satellites and digital subscriber lines (DSL)] and infrastructure developments such as gigabyte networking with asynchronous transfer mode (ATM). Evaluates the emerging directions in EC that are expected to shape both consumer and business applications in the coming decade. A "macro perspective" is used to examine the technical and managerial aspects of electronic commerce. Focus is on questions such as: What are or will be the key attributes of current and future digital products, payment systems, online retailing, and banking? How are these systems designed and implemented? What are the different mercantile processes and tradeoffs associated with these processes? What impact has global connectivity made on traditional supply-chain(s)?


Last Refreshed: 19-JAN-22 05.20.08.484218 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2022 11890 Hartford In Person Lu, Tao B12 Reg Mo 6:00pm‑9:00pm
18/46 GBLC 605 3.00 Graded This is the Special Topics in Info Mgmt course for MSBAPM. This semester, the topic is Supply Chain Management. Managing supply chains is a complex and challenging task, given the current business trends of expanding product variety, globalization and digitalization of business, and ever-changing customer expectations for fast and on-time delivery. To make right and timely decisions in the era of big data, increasingly many companies have started to apply data analytics in supply chain management. This course will introduce the concepts and methods related to the design, planning, control and coordination of supply chains with a focus on the applications of data analytics in supply chain management. The course consists of various components, including lectures, case studies and a simulation game.