= Closed/Waitlisted
= Cancelled
Management and Organizational Behavior
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MGMT-GB.2370Strategic Design (3)Course Description:
This course develops student skills at diagnosing organizations and developing prescriptions to improve their effectiveness. It is appropriate for those interested in organizational performance from a managerial or external perspective, e.g. management consultants, investment bankers, and financial analysts. It examines organizations' attempts to adapt as open systems in a competitive environment. We consider the major factors influencing organization design, e.g. strategy, environment, and technology. Then we analyze the major internal processes affecting organizational performance, e.g. control systems, politics, and conflict. Next, we probe how organizations can improve their ability to adapt in increasingly dynamic environments. The course includes domestic and international examples. The main learning methods are case analyses and a study of the organizations of the central competitors in an industry or industries that the class chooses. Particular emphasis is placed on organizational-level problems facing senior management.Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr S1
Online --Alternate Schedule--
Su 11:00 am - 4:00 pm (O)
Su 11:00 am - 4:00 pm (O)
03/08-04/12
04/26-04/26R.,K Online; This class will have additional asynchronous work each week. Saturdays & Sundays 2030 Pre/Corequisite:
Co-req: Full-time MBA & (COR1-GB.2103 & 2104).
Prereq: Focused MBA & COR1-GB 2101.
Prereq: Part-time MBA & COR1-GB 2103 & COR1-GB 2104 and (COR1-GB 1302 or CORE-GP 1020).
Not open to students with more than 24 MGMT-GB units.
Equivalencies:
.Specializations:
Leadership and Change Management
Management
Strategy
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MGMT-GB.3335Foundations of Entrepreneurship (3)Course Description:
This course offers a framework for understanding the entrepreneurial process and exposes the student to most problems and issues faced by entrepreneurs who start new ventures. Case study is the principal teaching method supplemented by lectures, a venture planning exercise, and guest speakers. Major objectives are for students to learn how to identify and evaluate market opportunities; develop a venture concept and marketing plan; assess and obtain the required resources; and manage the launch of a new venture.Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr S1 Online Sa 1:00 pm - 4:00 pm 02/07-05/02 Okun,G Saturdays 2063 Pre/Corequisite:
MGMT-GB Departmental Max and Non-Stern
Equivalencies:
MGMT-GB.3336 Foundations of Social Entrepre
MGMT-GB.3337 Foundations of Technology Entr
MGMT-GB.3235 Foundations of EntrepreneurshiSpecializations:
Entrepreneurship and Innovation
Management
Strategy
Marketing
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MKTG-GB.2365Brand Strategy (3)Course Description:
Brand planners/strategists face many challenges including how to: 1. Create a comprehensive brand architecture that will provide strategic direction; 2. Generate motivating brand identities and value propositions for the key brands; 3. Develop brand-building programs; and 4. Leverage new technologies. The goal of this course is to provide concepts models methods and role models that will help address these challenges.Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr S1 Online Sa 10:00 am - 12:00 pm 02/07-05/02 Eberhardt,J Saturdays; Online; This class will have additional asynchronous work each week. 2111 Pre/Corequisite:
Prerequisites: Full-time MBA. Co-requisite: COR1-GB 2310.
Prerequisites: Focused MBA. Co-requisite: COR1-GB 2110.
Prerequisites: Part-time MBA and COR1-GB 2310.
Not open to students with more than 24 MKTG-GB units.
Equivalencies:
MKTG-GB.2165 Brand Strategy
MKTG-GB.2266 Brand StrategySpecializations:
Brand Management
Luxury Marketing
Marketing
Technology
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TECH-GB.3336Data Science and AI for Business: Managerial (3)Course Description:
Businesses, governments, and individuals create massive collections of data as a by-product of their activity. Increasingly data is analyzed systematically to improve decision-making. In many cases automating analytical processes is necessary because of the volume of data and the speed with which data are generated. We will examine how data analytics technologies are used to improve decision-making. We will study the fundamental principles and techniques of mining data and we will examine real-world examples and cases to place data-mining techniques in context to improve your data-analytic thinking and to illustrate that proper application is as much an art as it is a science. In addition we will work hands on with data mining software. After taking this course you should: Approach business problems data analytically; Think carefully & systematically about whether & how data can improve business performance to make better-informed decisions; Be able to interact competently on business analytics topics; Know the fundamental principles of data science that are the basis for analytics processes algorithms & systems; Understand these well enough to work on data science projects and interact with everyone involved; Envision new opportunities; Have had hands-on experience mining data; Be prepared to follow up on ideas or opportunities that present themselves by performing pilot studies.Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr S1 Online Sa 2:00 pm - 4:00 pm 02/07-05/02 Reisz,C Saturdays; Online; This class will have additional asynchronous work each week. 2162 Pre/Corequisite:
TECH-GB Departmental Max and Non-Stern
Equivalencies:
TECH-GB.2336 Data Sci & AI for Busn: TechniSpecializations:
Brand Management
Business Analytics
Digital Marketing
FinTech
Financial Systems & Analytics
Healthcare
Management of Technology & Operations
Marketing
Supply Chain Management & Global Sourcing
Tech Product Management