All Courses
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HS 650 001 SP 2017
The Data Science and Predictive Analytics (DSPA) course (offered as a massive open online course, MOOC, as well as a traditional University of Michigan class) aims to build computational abilities, inferential thinking, and practical skills for tackling core data scientific challenges. It explores foundational concepts in data management, processing, statistical computing, and dynamic visualization using modern programming tools and agile web-services. Concepts, ideas, and protocols are illustrated through examples of real observational, simulated and research-derived datasets. Some prior quantitative experience in programming, calculus, statistics, mathematical models, or linear algebra will be necessary.
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EHS 869 001 FA 2017
This seminar course is designed for doctoral students in the Department of Environmental Health Sciences to learn and practice scientific presentation skills. Additionally, it provides a forum for research discussions. Attendance is open to all students, staff, and faculty of the department and university.
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FIN 415 FA 2017
Valuation, broadly-defined, consists of determining the effect of business decisions on the overall value of the firm, and is a process routinely performed in examining corporate finance decisions at a firm. There are three primary goals of this course. 1. To teach you the basic concepts behind valuing projects and firms; 2. To enhance your ability to apply valuation theory and techniques to real-world situations; and 3. To enable you to communicate technical concepts in everyday language. A secondary goal is to lay the groundwork for future corporate finance courses you may take. Throughout the term, I will try to keep the focus on the concepts involved. The theory is important because it allows us to extend standard techniques to non-standard situations. Of course, valuation requires dealing with lots of numbers, and we will necessarily have to master the details of the calculations as well. The cases represent the real-world situations we will examine.