Semester.ly

Johns Hopkins University | EN.570.497

Risk and Decision Analysis

3.0

credits

Average Course Rating

(4.6)

This class introduces the decision analysis approach to making decisions under risk and uncertainty. Topics covered include decision trees, Bayes law, value of information analysis, elicitation of subjective probabilities, multiattribute utility, and their applications to environmental and energy problems. Textbook: R.T. Clemen, Making Hard Decisions, 2014. Recommended Course Background: introductory statistics and probability.

Fall 2012

(4.65)

Fall 2013

(4.5)

Fall 2014

(4.66)

Fall 2012

Professor: Seth Guikema

(4.65)

The best aspects of this course included the practical and applicable course content, as well as the understandable lectures by the very passionate professor. The worst aspects of the course included the lack of feedback on homework assignments and the late class time. The students also felt like there was a lot of material that wasn’t covered in lectures and it reflected on the quizzes. The course would improve if the grading system was restructured and if the students had feedback on their assignments so they could know if they were solving problems correctly. Prospective students should know that this is a great course with lots of challenges and they should have a little background in statistics to be successful.

Fall 2013

Professor: Seth Guikema

(4.5)

Students loved the course’s interactivity and the professor’s use of a blend of mixed media to teach the core concepts. Students found the materials extremely interesting, the lectures very useful, and real y liked watching and discussing the videos of engineering disasters. Most students did not like the ‘flipped’ portion of the class, where they were expected to learn concepts on their own by watching the videos at home. Students suggested that the way to fix this might be to recap the videos before class discussion, or to simply stick to the lecture style of teaching, since everyone enjoyed and learned from that portion of the course. This course is highly recommended to prospective students who have an interest in exploring engineering in action.

Fall 2014

Professor: Seth Guikema

(4.66)

Students praised this course for having an engaging instructor who used a mixture of teaching styles in order to keep lectures interesting and engaging. Perceived issues with the course included a widespread belief that the instructor frequently missed lectures and left students in the hands of less than effective substitute teachers. Suggestions for improvement varied greatly. Some students thought the course would benefit from new technologies such as online lectures and assignments. Prospective students should know that students found the course covered a good deal of interesting material and that they felt a background in probability was helpful. 161

Lecture Sections

(01)

No location info
B. Hobbs
13:30 - 14:45