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Optimum financial policies and decisions of nonfinancial firms. Theory of competition and optimum asset management of financial firms.

This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

First part of course: conceptual in nature. Topics include nature of attest function, ethical and legal relationships of audits and types of audit reports. Second part: technical aspects of auditing including study and evaluation of internal control. Final part: statistical sampling and auditing in a computer environment. Prerequisite: SCH-MGMT 522 or equivalent.

Isenberg freshman are brought together in small groups with an Isenberg upper-level student mentor. The mentor serves as a knowledgeable resource and support system for the individual as well as the group during their first year of college. Benefits of the mentorship program include but are not limited to: immediate connection with an experienced Isenberg student, meeting other first-year students who share similar academic and/or extracurricular interests, and a friendly supportive environment to share experiences and/or concerns.

This course is designed to prepare students for success in the following career and professional development competencies such as networking, internship/job search, professional etiquette and industry research. Specific activities will include but are not limited to: resume building, interviewing skills, dressing for success, utilizing social media platforms, developing elevator pitches, building professional connections, increasing knowledge of industry and career areas and navigating career fairs.

Introduction to basic issues in research design; emphasis on methods allowing inference of cause-and-effect relationships.

Basic concepts of supply chain management such as synchronized information, product and financial flow, channel design and configuration, supplier relationships, internal and external logistics, and inventory deployment and replenishment. Supply chain modeling for the optimization and monitoring of a supply chain, or a segment thereof, using network (mathematical programming) models.

This is a hands-on course taught by a leading scholar and scientist who makes accessible and clear the highly sophisticated field of text mining and analytics for a) detecting and revealing hard-to-see patterns in unstructured textual data, such as social media conversations and online brand content, b) uncovering powerful market insights concerning customer sentiments/emotion, trends, segments and other aspects related to customer contexts, and c) identifying and monitoring online brand-communication strategies.

Introduces primary and secondary data collection and analysis as a means to assess consumer behavior and develop effective marketing strategies; incorporates the use of technology in data collection and analysis. Prerequisites: MARKETNG 301; STATISTC 140 or 141 or RES-ECON 211 or 212.