MATH08014 2019 Vector Calculus and Geometry
This mathematics module provides a geometric approach to vectors, matrices and vector fields and their application to forces and velocities in three dimensions.
Learning Outcomes
On completion of this module the learner will/should be able to;
Calculate dot product of vectors and apply this to find the angle between vectors, project one vector onto another and derive the cosine rule
Calculate cross products of vectors and apply this to find the area of a parallelogram, angular velocities and the volume of a parallelpiped
Understand and determine the linear independence of vectors (with geometric interpretation) and find vector equations of lines and planes
Understand and find linear transformations and isometries as matrix operations: rotation, reflection, translation, eigenvalues and eigenvectors
Manipulate and understand vector fields and partial derivatives including their physical meaning
Calculate the vector operators gradient, divergence and curl as well as some applications of them
Calculate the radial and tangential components of rotating systems, derivatives of vector fields and applications
Teaching and Learning Strategies
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Module Assessment Strategies
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Repeat Assessments
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Indicative Syllabus
Vector addition, subtraction and scalar multiplication
Dot product of vectors and applications (angle between vectors, projection of one vector onto another, the cosine rule)
Cross product of vectors and applications (area of a parallelogram, angular velocity in three dimensions)
Scalar triple product and applications (volume of a parallelepiped)
Vector equations of lines and planes
Linear independence of vectors (with geometric interpretation)
Radial and tangential components of rotating systems
Derivatives of vector fields and applications (including Coriolis force)
Introduction to vector fields
Partial derivatives and introduction to the vector operators gradient, divergence and curl, and their physical meaning
Linear transformations and isometries as matrix operations: rotation, reflection, translation, eigenvalues and eigenvectors
Coursework & Assessment Breakdown
Coursework Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Continuous Assessment | Coursework Assessment | Assessment | 20 % | OnGoing | 1,2,3,4,5,6,7 |
End of Semester / Year Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Final Exam | Final Exam | Closed Book Exam | 80 % | End of Semester | 1,2,3,4,5,6,7 |
Full Time Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|
Independent Learning | Not Specified | Independent Learning | 4 | Weekly | 4.00 |
Lecture | Flat Classroom | Lecture | 4 | Weekly | 4.00 |
Part Time Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|
Independent Learning | Not Specified | Independent Learning | 4 | Weekly | 4.00 |
Lecture | Classroom Equipped for OLL. | Lecture | 4 | Weekly | 4.00 |
Module Resources
K.A. Stroud: "Engineering Mathematics", any edition
K.A. Stroud: "Further Engineering Mathematics", any edition
Khan Academy
None