CP/PC 315 SCIENTIFIC COMPUTATION, WINTER 2020, WLU
An introduction to scientific computation, with substantial use of scientific software, such as Maple and Matlab. Scientific problems and models from different disciplines are considered. Numerical methods introduced in this course include interpolation, curve fitting, solving (systems of) linear and nonlinear equations, eigenvalue problems, integration and solving ordinary and partial differential equations.
Important Course Information
Dr. Ilias S. Kotsireas, Office 2076A,
Office Hours 24/7 and by appointment, Phone 884-0710 ext. 2218#
Maple & LaTeX tutorials (TBA)
- equation solving, nonlinear equations, systems of nonlinear equations
- systems of linear equations: direct and iterative methods
- matrix eigenvalue problems, matrix eigenvector problems
- Fast Fourier Transform
- interpolation, curve fitting
- numerical differentiation, numerical integration
- Symbolic Computation
- Ordinary Differential Equations (ODEs), Initial Value Problems (IVPs), Boundary Value Problems (BVPs)
- Partial Differential Equations (PDEs), Discretization, Finite Difference Methods, Collocation, Finite Element Method
Maple is a Scientific Computation System that allows the user to perform symbolic and numeric computations, visualization, experimentation and much more. Maple is being developed maintained and distributed by Maplesoft http://www.maplesoft.com/. Maple is available in Wilfrid Laurier University labs and the latest release of Maple, can also be obtained individually through the Maple Adoption Program.
Matlab is a Scientific Computation System developed maintained and distributed by Mathworks
Matlab is available in Wilfrid Laurier University labs.
is an on-line community dedicated to sharing experiences, techniques, and opinions about Maple.
- Application Center
features over 2650 applications contributed by the Maplesoft user community.
- DigitalEd offers a complete suite of tools to support and enhance education in science, technology, engineering, and mathematics.
No prior knowledge of Maple or Matlab is necessary.
An introductory 3-hour Maple tutorial will be scheduled, details in class.
- Matlab tutorial are available from MathWorks
- A Partial List of On-Line Matlab Tutorials and Matlab Books
Class Schedule, Winter Semester Timetable
| Mon | Wed |
| 17:30-18:50 | 17:30-18:50 |
| N1044 | N1044 |
| | |
Week 1: | Jan 06 | Jan 08 |
Week 2: | Jan 13 | Jan 15 |
Week 3: | Jan 20 | Jan 22 |
Week 4: | Jan 27 | Jan 29 |
Week 5: | Feb 03 | Feb 05 |
Week 6: | Feb 10 | Feb 12 *1 |
Reading Week | Feb 17-21 N o C o u r s e s
| | |
Week 7: | Feb 24 | Feb 26 |
Week 8: | Mar 02 | Mar 04 |
Week 9: | Mar 09 | Mar 11 |
Week 10: | Mar 16 | Mar 18 |
Week 11: | Mar 23 | Mar 25 |
Week 12: | Mar 30 | Apr 01 *2 |
| | |
*1 --> Test 1 (T1) date, Portfolio 1 (P1) due date
*2 --> Test 2 (T2) date, Portfolio 2 (P2) due date
Course Requirements/Student Evaluation
- The course final grade is computed based on the 4 components:
P1, P2, T1, T2, explained in more detail below.
- Each student will prepare a portfolio of homework questions.
Homework questions will be handed out at the end of each lecture
and will consist of an assortment of theoretical questions,
practical problems, and programing questions. The programing
questions are meant to be solved using Maple.
The portfolio will be marked in two parts, P1, P2 and
each part will be due as follows:
It is strongly suggested that the portfolio is prepared using LaTeX.
- P1 25%, due date: Wednesday, Feb 12, 2020 (end of week 6), in MyLS
- P2 25%, due date: Wednesday, Apr 01, 2020 (end of week 12), in MyLS
- The course final grade is computed as:
P1*(25/100) + P2*(25/100) + T1*(25/100) + T2*(25/100)
- Important Information regarding the portfolio submission:
- All portfolio submissions will be by MyLS dropbox only.
- All portfolio submissions must be typeset (LaTeX, Word).
- All portfolio submissions must be by .pdf file attachment only.
- Upload one .pdf file only, for the entire portfolio, using
the following naming scheme
(these are dash characters, not underscores)
- Use a cover page for your portfolio. Make sure that all pages of your .pdf file are
numbered and on each page include a header with your name and course code
- Portfolio submissions that violate any of the above requirements, will not be accepted/marked.
- T1 Test 1: 25%, Monday, Feb 12, 2020, (end of week 6), in class.
- T2 Test 2: 25%, Monday, Apr 01, 2020, (end of week 12), in class.
- (tests are not cumulative)
Students are advised not to make travel commitments during scheduled midterm examinations
University and Course Policies (senate approved)
Special Needs: Students with disabilities or special needs are advised to contact Laurier’s Accessible Learning Centre for information regarding its services and resources. Students are encouraged to review the Academic Calendar for information regarding all services available on campus.
Plagiarism: Wilfrid Laurier University uses software that can check for plagiarism. If requested to do so by the instructor, students are required to submit their written work in electronic form and have it checked for plagiarism.
Academic Integrity: Laurier is committed to a culture of integrity within and beyond the classroom. This culture values trustworthiness (i.e., honesty, integrity, reliability), fairness, caring, respect, responsibility and citizenship. Together, we have a shared responsibility to uphold this culture in our academic and nonacademic behaviour. The University has a defined policy with respect to academic misconduct. As a Laurier student you are responsible for familiarizing yourself with this policy and the accompanying penalty guidelines, some of which may appear on your transcript if there is a finding of misconduct. The relevant policy can be found at Laurier's academic integrity website along with resources to educate and support you in upholding a culture of integrity. Ignorance is not a defense.
Classroom Use of Electronic Devices: Read WLU policy 9.3 Classroom Use of Electronic Devices.
Late Assignment Policy: late assignments will be marked with 0.
Final Examinations: Students are strongly urged not to make any commitments (i.e., vacation) during the examination period. Students are required to be available for examinations during the examination periods of all terms in which they register. Refer to the Handbook on Undergraduate Course Management for more information.
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