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Curricular information is subject to change
On successful completion of this module the student should be able to:
1. Add and multiply matrices;
2. use Gaussian elimination to find the inverse of a matrix and to solve systems of linear equations;
3. calculate the determinant of a matrix; find the eigenvalues and corresponding eigenvectors of a matrix;
4. calculate the dot and cross products of a pair of vectors;
5. add, multiply and divide complex numbers;
6. find the polar form of a complex number and then use De Moivre’s Theorem to find its roots;
7. differentiate expressions using the product, quotient and chain rules;
8. find and classify critical points;
9. use the Newton-Raphson method to find roots of an equation;
10. integrate using substitution, by parts and partial fractions;
11. use integration to find areas and volumes;
12. use the addition and multiplication rules of probability and calculate conditional probabilities;
13. calculate probabilities using the binomial, Poisson and normal distributions.
Student Effort Type | Hours |
---|---|
Lectures | 33 |
Specified Learning Activities | 30 |
Autonomous Student Learning | 57 |
Total | 120 |
Students must have achieved a sufficinetly high grade in MATH00030 to proceed to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
• Peer review activities
• Self-assessment activities
The Assessment Feedback Strategies will follow the same path as the semester one module MATH00030.
Name | Role |
---|---|
Dr Anthony Brown | Lecturer / Co-Lecturer |