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Curricular information is subject to change
On completion of this module students should be able to
- Run Python code via interactive Jupyter notebooks
- Use version control software
- Write simple programs involving input/output, plotting, loops, conditionals and functions
- Describe and implement different methods for interpolation.
- Describe and implement elementary root-finding procedures.
- Solve ODEs numerically using standard algorithms, analyse their accuracy and stability, and implement them numerically.
- Describe elementary numerical integration integration schemes, analyse their accuracy, and implement them.
- Describe elementary numerical algorithms for computing properties of matrices
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Computer Aided Lab | 24 |
Specified Learning Activities | 40 |
Autonomous Student Learning | 24 |
Total | 106 |
Students are recommended to have successfully completed level one courses in calculus and algebra, along the lines of the following module pairs:
1. MATH10300 - Calculus in the Mathematical Sciences and MATH10270 - Linear Algebra in the Mathematical Sciences
2. MATH10330 - Calculus in the Phy Sciences and MATH10280 - Linear Algebra in the Physical Sciences
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Ms Claire Bergin | Tutor |
Mr Kevin Cunningham | Tutor |
Mr Chris Devitt | Tutor |
Mr Brian Skelly | Tutor |