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ENME 465/ENCE 402

Course Syllabus

Course Prerequisites

  • ENCE 302 Probability and Statistics for Civil Engineers or some exposure to probabilistic modeling

Required Course Text:

  • Simulation, by Sheldon M. Ross (Fifth Edition)

Course Objective

To provide an introduction to probability-based design using Monte Carlo simulation emphasizing technical aspects as well as applications.

Instructor

Dr. Steven A. Gabriel
Office EGR 3125
Telephone (301) 405-3242; Fax: (301) 405-2585
sgabriel@umd.edu

Grading

The overall course grade will be derived from the following measures:

  • Total homeworks score:    5% of course grade
  • Total quizzes score:          5% of course grade
  • Exams:
    Intermediate exam 1:      20% of course grade
    Intermediate exam 2:      20% of course grade
    Final exam:                     35% of course grade
  • Case Studies
    Case Study 1:                   7.5% of course grade
    Case Study 2:                   7.5% of course grade

Course Policies

Students are encouraged to attend all lectures since the exams and the homeworks will be closely related to material discussed in lectures.

Students will complete the homeworks by themselves. Homeworks will generally be given out each week on Thursday and due at the start of class one week later on that next Thursday (unless otherwise specified). No late homeworks will be accepted unless it’s a family or medical emergency with supporting documentation.  In the case of snow/weather emergencies assignments will still be due as these are to be sent electronically via blackboard (or email-- to be determined with the course assistant).

The course is subject to the Code of Academic Integrity available on the web. The Code prohibits students from cheating on exams, plagiarizing papers, submitting the same paper for credit in two courses without authorization, buying papers, submitting fraudulent documents, and forging signatures.

The University has a legal obligation to provide appropriate accommodations for students with disabilities. Please inform Dr. Gabriel of any accommodations needed relative to disabilities. Also, University of Maryland policy states that students should not be penalized due to observances of their religious beliefs. Please inform Dr. Gabriel of such instances well in advance so that appropriate steps can be taken.

Short Bio on Dr. Gabriel

Academic Experience: Besides teaching at University of Maryland, Dr. Gabriel has held appointments in the Mathematical Sciences Department at The Johns Hopkins University, and in the Engineering Management and Systems Engineering Department at The George Washington University. In addition, he has served as a postdoctoral researcher in the Mathematics and Computer Science Division at Argonne National Laboratory.

Industry Experience: Dr. Gabriel has over 25 years of industry and academic experience involving mathematical modeling of engineering-economic systems with applications in energy, transportation, service performance, and operations management. His specialties include optimization/equilibrium modeling, econometrics, decision support systems, and software development. His most recent industry experience includes 5 years as a Project Manager at ICF Consulting (www.icfconsulting.com) involving projects with their oil and gas group (www.icf-oilandgas.com) as well as their electrical power group.

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