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MATH1211 Multivariable Calculus

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Course Reviews on MATH1211 Multivariable Calculus

Shared by Anonymous

2018-08-25

Professor: Zheng Hua


Course Description
Everything from vectors to line integrals and Green's Theorem.
Assessment
Very demanding and very intense. What you might expect would need at least two weeks for an average maths student to digest is covered in days. The lectures are very good. The lectures are lively, interesting, sometimes unexpectedly dramatic. However, if you did not prepare or do any reading beforehand it is very likely that you would not be able to keep up as the professor goes through concepts very, very quickly.
Grading
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Shared by Anonymous

2018-08-25

Professor: Zheng Hua


Course Description
Everything from vectors to line integrals and Green's Theorem.
Assessment
Very demanding and very intense. What you might expect would need at least two weeks for an average maths student to digest is covered in days. The lectures are very good. The lectures are lively, interesting, sometimes unexpectedly dramatic. However, if you did not prepare or do any reading beforehand it is very likely that you would not be able to keep up as the professor goes through concepts very, very quickly.
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: Dr. Zheng HUA


Course Description
never take Z. Hua course
Assessment
exam: 50%
Grading
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Shared by Anonymous

2018-08-25

Professor: Dr. S P Yung


Course Description
MATH 2211 in the 4-year curriculum

Required for both math major and math/physics major, and also good choice for engineering or EF students who need more rigorous knowledge in calculus

Textbook: Vector Calculus by Susan J Colley

Covering a wide range of topics in multivariable calculus, including:

- Vectors: vectors in 2-, 3-, and n-dimensions; dot product and cross product; lines and planes; polar, cylindrical, and spherical coordinates

- Differentiation in several variables: limits and derivatives; the chain rule; directional derivatives and gradients

- Vector-valued functions: parametrized curves; arc-length; vector fields; gradient, divergence, curl, and the del operator

- Maxima and minima: differentials and Taylor's Theorem of several variables; extrema of functions; Lagrange multipliers; applications of extrema

- Multiple integration: double and triple integrals; change of variables; applications

- Line integrals: scalar and vector line integrals; Green's Theorem; conservative vector fields

- Surface integrals and vector analysis: parametrized surfaces; surface integrals; Stoke's and Gauss's Theorems
Assessment
50% final exam, 40% tests (total 2, carrying equal weight), 10% tutorial; assignments count for 0% but can be used to make up failed points in tests and the final
Grading
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Shared by Anonymous

2018-08-25

Professor: Hua Zheng


Course Description
Very interesting course
Assessment
50% final 40% MT (20% each) 10% Assignment
Grading
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Teaching Skills & Others
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