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Numerical Methods and Modeling

ESOF-3558-WA
Closed
Lakehead University
Lakehead University
Thunder Bay, Ontario, Canada
Ayman Diyab
Ayman Diyab
Assistant Professor
(3)
4
Timeline
  • March 1, 2021
    Experience start
  • March 2, 2021
    Project Scope Meeting
  • March 16, 2021
    Progress Meeting
  • April 2, 2021
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Information technology Data analysis
Skills
writing data analysis research
Learner goals and capabilities

Do you have an engineering problem you would like to solve? In this project, students working in teams will explore and analyze numerical method algorithms for modeling and solving engineering problems with a predictable error rate. Topics include numerical calculus, roots, optimization, polynomial interpolation, integration, differentiation, initial value problems, boundary value problems, and the software development of these algorithms.

Projects that students can work on include engineering projects that have numerical solution components using MATLAB programming and solvers.

Learners
Undergraduate
Any level
86 learners
Project
40 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

The final project deliverables might include:

  1. A 10-15 minute presentation of key findings and recommendations.
  2. A detailed report including their research, analysis, insights, and recommendations.
  3. Numerical results and MATLAB code.
Project timeline
  • March 1, 2021
    Experience start
  • March 2, 2021
    Project Scope Meeting
  • March 16, 2021
    Progress Meeting
  • April 2, 2021
    Experience end
Project Examples

Software, chemical and electrical engineering projects that require (at any stage) the use of numerical solution packages like MATLAB.

Project activities might include but are not limited to:

  • Appraising the sources, values, and bounds of approximation errors in engineering modelling and computations.
  • Employing simple mathematical tools and numerical methods in order to perform engineering computations.
  • Employing numerical methods (root finding, optimization, differentiation, integration, initial value problems, boundary value problems) to translate common engineering situations into mathematical problems, in order to model and solve them and to measure the error on the solutions.
  • Practicing implementing numerical algorithms by implementing a selection of formulae for each numerical method (root finding, optimization, differentiation, integration, initial value problems, boundary value problems).
Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Provide an opportunity for students to present their work and receive feedback.

Provide relevant information/data as needed for the project.