Syllabus: PDF (subject to change iE 575, stochastic Methods (Fall 2018 this course teaches the fundamentals syllabus of applied probability theory.
Practical applications through real-world model building are described and syllabus conducted, including business management, supply syllabus chain and logistics, transportation, syllabus health care, and homeland security.
Examines sample space, random variables, expected values, limiting theorems, error analysis, and provides introduction to random processes.
Elicitation techniques for model building are emphasized.Syllabus: TBA, tA: TBA, iE 576, applied Stochastic Processes syllabus (Spring 2009, 2010, 2011, 2012, 2013, 2014, 2016, 2017, 2018, 2019).Students are required to use UBlearns to access the complete course materials Syllabus: PDF (subject to change).The course also introduces elementary stochastic processes including Bernoulli and Poisson processes and general discrete-state Markov processes.My TAs (Fall 2017 Jing Zhang.There will syllabus be one lecture period per week.This is followed by syllabus a discussion of some basic limit theorems and some common issues and techniques of both classical and Bayesian statistics.Psychological components of decision making are discussed.This course covers the broad application areas and methodologies of the IE discipline.What do IEs syllabus do?This course will start with the fundamentals of individual and group decision making analysis, then introduce topics including mechanism design, the signaling game, the screening game, the repeated game, the differential game, the behavioral game, and the evolutionary game.EAS 305, applied Probability Statistics Inference (Fall 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015; Summer 2010). A continuation of keyser IE 575 (Stochastic Methods).
My TAs (Fall 2015 Fatemeh Aarabi, Cai Gao, and Xiaomei Wang.
This course targets the graduate students who may have little or no game theory background, book but have serious interests in conducting a project/research/thesis related keyser september to fighter game theory.
In Fall 2009, IE 675 smaak successfully attracted a favored diversity of student enrollment from Civil, Structural Environmental Engineering, september Cognitive Psychology, Economics/Communication, Industrial Systems Engineering, and Mechanical Engineering, as well as a couple of informal sit-ins from Computer Science and Engineering.
Syllabus: PDF (subject to change iE 412/512, decision Analysis (Fall 2010, 2013, 2015, syllabus 2017 this course provides an overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models.
Prerequisite for enrollment is MTH 241 College Calculus III or equivalent.Introduces probability and its application to engineering problems.Syllabus: PDF (subject to change iE 675, game Theory (Fall 2009, 2011, 2014, 2016, 2018).Topics include limit theorems, classical and Bayesian statistical inferences, discrete-time and continuous-time Markov chains, simple Markov queueing networks, and an introduction to dynamic programming.It culminates with the current day practice, careers, employers and the role of IEs in integrated systems design.
Where are they employed?
IE 101, discover Industrial and Systems Engineering (Spring 2016, 2017, ies 2013 syllabus pdf 2018, 2019 come and learn about the exciting discipline and profession of industrial engineering (IE).
My TAs (Spring 2018 Bairong Wang.