Calculus I A copy 1
Calculus is a foundational course; it plays an important role in the understanding of science, engineering economics, and computer science, among other disciplines.
Engineering Maths I
This course introduces students to single variable calculus. Topics covered include: limits, continuity, derivative, indefinite integral, definite integral, fundamental theorem of calculus, applications of derivatives, maximum and minimum, applications of integrals, techniques of integration, improper integrals, first order and second order linear ODEs.
MAT108, Ordinary Differential Equations, 2019/04
This is a major core course on ordinary differential equations. The objectives of this course are to equip the students with fundamental concepts and theories of ordinary differential equations, as well as the ability to solve ordinary differential equations that appear in various applications.
MAT102, Calculus I, 2019/04
Calculus is a foundational course in mathematics. It has wide applications in science, engineering, economics and computer science. This course will also help students to appreciate the power of mathematics and its applications.
General Physics I A
This course provides the students fundamental knowledge and abilities for their further studies. It also let the students see how the mathematics they learned are applied in solving problems in physics.
MAT 105 Linear Algebra II (201904)
Linear algebra is an indispensable course in any programmes in mathematics, science, engineering and business. It has wide applications in various disciplines. The inclusion of this course into the programme will prepare the students to the learning of other advanced courses in mathematics and applied mathematics.
MAT 104 Linear Algebra I (201904)
Linear algebra is an indispensable course in any programmes in mathematics, science, engineering and business. It has wide applications in various disciplines. The inclusion of this course into the programme will prepare the students to the learning of other advanced courses in mathematics and applied mathematics.
Mathematics Competition Training
This is the platform for students to find materials to learn and practice for the mathematics competitions, especially the Simon Marais Mathematics Competition.
Discrete Mathematics copy 1
This course introduces methods of discrete mathematics to students. Topics covered include: logic, arguments, algorithms, well-ordering principle, recursion, counting techniques, pigeonhole principle, permutations and combinations, divide-and-conquer algorithms, generating functions, inclusion-exclusion, equivalence relation, partial orderings.
Probability and Statistics B (BSC203)
This course covers various topics on
probability and statistics, including conditional probability, random variables
and distributions, expectation, typical distributions, estimation, sampling
distributions of estimators, testing hypotheses, categorical data and
nonparametric methods, and linear statistical models.
Introduction to Probability and Statistics copy 1
This course covers various topics on
probability and statistics, including conditional probability, random variables
and distributions, expectation, typical distributions, estimation, sampling
distributions of estimators, testing hypotheses, categorical data and
nonparametric methods, and linear statistical models.
Engineering Mathematics II (BSC113)
This course covers differential
equations, partial differentiation, matrices, Fourier series, and Laplace transform.