Subject: IIME
Term: Summer 2019
IIME 400: Leadership Assessment and Development (LEAD) (100/2041)
W 01:00-04:45 PM Jun 17-Aug 09
Messer, T
The goal of the course is to help students learn methods for assessing their knowledge, abilities, and values relevant to engineering and management, and for the acquiring of new professional knowledge and skills throughout their career. Recommended preparation: Senior status in engineering.
IIME 410: Accounting, Finance, and Engineering Economics (100/2036)
M 08:15-12:00 PM Jun 17-Aug 09
Fogarty, T
This class uses a combination of class lecture and discussion, in combination with problem-type and case-type assignments, to introduce you to key concepts and tools of financial economics. You are expected to use the resources at your disposal, such as the textbook or the accounting dictionary, to help you understand any unfamiliar concepts. Normally, each class will be divided into two sections. The first part of each class session will be devoted to discussions of selected problems and cases, with focus on the specific topics being covered. The second part of each class will be devoted to prepare you for the following session class assignments. Recommended preparation: Senior status in engineering.
IIME 470: Independent Projects (100/2039)
Drummond, C
This course is designed for students wishing to expand experiential learning opportunities at the interface of engineering and management. Preferred focus areas in entrepreneurship and opportunity assessment, product design and development, and manufacturing planning and management. Project ideas along with milestone, deliverables, and potential corporate clients need to be arranged in advance.
IIME 475: Technology Marketing Strategy (100/2040)
M 01:00-04:45 PM Jun 17-Aug 09
Drummond, C
High technology products and services are unique in the levels of ambiguity and risk that challenge a manager's ability to craft a marketing strategy. Understanding the customer, reading market trends, creating a compelling vision of value, and launching marketing programs (already foreboding tasks in traditional marketing situations) have a heightened sense of uncertainty in the context of high technology platforms such as nanotechnology and regulated medical devices. This course draws on contemporary ideas in literature by thought leaders in technology marketing. We work though several marketing models and methods in practice today to assist students synthesize and build appropriate conceptual and managerial frameworks for technology marketing practice.
IIME 476: Applied Statistics for Decision Support in Data Science (100/3367)
T 01:00-04:45 PM Jun 17-Aug 09
Drummond, C
In this intense summer application-oriented course, the goal is to bridge traditional statistical tools with the R language to prepare beginning graduate students for further study in data science. Managerial decision support involves the collection, analysis, and interpretation of data for understanding uncertainty and risk in decision-making; quite simply, decision support requires statistics! The "R" language plays a significant role facilitating the building of statistical and data science models and approaches to visualizing data and making predictions to support decisions, but absent a foundational knowledge in probability and statistics the impact of the tools and their use may not be fully realized. The course is project-based to provide direct application of probability and statistics to the extraction of knowledge from data.