Multivariable Calculus
Course Code
MA2231
Number of Credits
4
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Curves and surfaces | Expert |
| Multivariable function | Express |
| Vector-valued function | Expert |
| Integral fold | Expert |
| Line integrals and surface integrals | Expert |
| Integral Theorem | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Evaluate and explain similarities and differences in the behaviour of linear and non-linear functions from regions in R^n to R^m |
| CPMK 2 | Utilise the properties of multivariable calculus (especially partial derivatives and integrals) on real and contemporary phenomena, such as machine learning. |
| CPMK 3 | Exploring geometric properties of curves and surfaces. |
| CPMK 4 | Develop arguments and evidence to convince the truth of a statement. |
| CPMK 5 | Readiness to study further in fields that require knowledge of multivariable calculus |
| CPMK 6 | Build mathematical knowledge, skills and attitudes to learn more advanced concepts |
Learning Method
- Combination of lectures and discussions, problem-based learning, independent assignments, quizzes
Learning Modality
- Hybrid Synchronous and asynchronous; Independent
Assessment Methods
- Grades will be assigned based on the percentage of points earned. Each instructor has flexibility in determining the exact cut‐off point for each grade. However the initial cut‐off points for grades A, B, and C should not be less than 80%,65%, and 50%, respectively. Students are considered to be competent if he or she gets at least C. Grades are based on at least two components, and each instructor also has some flexibility in determining the weight of each component. However, the weight of examinations component is at most 90% and total weight of assignments component is at most 25%. Assessments include group discussions, exams, labworks, and projects.