Page 103 - handbook 20152016

Faculty of Science Handbook, Session 2015/2016

Dr. Ng Choung Min,BSc(UTM), MSc, PhD SYNOPSIS OF COURSES
Dr. Ng Kok Haur, BSc(UPM), MSc(UPM), PhD
Dr. Nur Anisah Mohamed, BSc, MSc(UM), SIX1004 STATISTICS (FACULTY OF SCIENCE)
PhD(Newcastle)
Dr. Rossita Mohamad Yunus,BSc, MSc(UM), PhD(USQ) Introduction to statistical analysis; Experimental and
Dr. Shaiful Anuar Abu Bakar, BSc(UiTM), MSc(Heriot- observational studies; Display and organization of data;
Watt), PhD(Manchester) Descriptive statistics; Population and samples; Sampling
Dr. Wu Swee Leng, BSc, MSc, PhD methods; Basic probability theory; Useful probability
En. Rozhan Yahaya distributions: Binomial, Poisson and normal; Sampling
distributions; Central Limit Theorem; Parameter estimation
COORDINATOR (B.Sc. Ed. Mathematics): and confidence intervals; Hypothesis testing for mean,
Prof. Dr. Wong Peng Choon, BSc, MSc, PhD(NYU) proportion and association in one and two populations; Chi-
squared tests and Fisher’s exact test; One factor Analysis

RESEARCH AREAS of Variance; Simple linear regression.
Assessment:
Research areas in the Institute of Mathematical Sciences Continuous Assessment: 40%
include: Final Examination: 60%

Group theory, ring theory, multilinear algebra, graph theory,
combinatorial graph theory, supply chain management, Medium of Instruction:
English
operations research, numerical analysis, robust statistics,
probability distribution theory, nonlinear time series, image
processing and regression analysis. Humanity Skill:
CS3, CT3
References:
COMPUTER FACILITIES 1. Freedman, D., Pisani, R. & Purves, R. (2007).
Statistics (4th ed.). New York: W.W. Norton.
To date the Institute has a computer lab equipped with 6
tablet PCs, 10 laptops, 2 workstations, 90 Pentium IV 2. Mann, P. S. (2010). Introductory Statistics (7th ed.).
New York: Wiley.
computers, 3 laser printers, 1 colour printer, 4 heavy duty 3. Johnson, R. & Kuby, P. (2011). Elementary Statistics
dot matrix printers, allinterconnected in a network system. (11th ed.).Boston: Cengage Learning.
The lab is also equipped with 5 LCD projectors, 1
visualizer, and 2 scanners. The lab utilizes state of the art
software such as Matlab (with various Toolboxes),
Mathematica v6, MathType v5.2, Minitab R14, Visual C++, SIM1001 BASIC MATHEMATICS

S-PLUS v8, Scientific Word 5.5, PcTeX 32 and MathCAd Introductory logic. Mathematical statements. Quantifiers.
v13. In addition, three of the lecture halls are equipped with Rules of inference. Mathematical induction, binomial
a LCD projector and a visualizer each.
theorem. Sets, Cartesian products, equivalence relations,
functions, bijections, inverse functions. Integers, rational
BACHELOR OF SCIENCE PROGRAMS numbers, real numbers. Complex numbers. DeMoivre’s
theorem and roots of unity. Polynomials and equations.

Please refer to program charts for courses. Remainder theorem, fundamental theorem of algebra,
conjugate roots.
Systems of linear equations, row reduction, echelon forms.
FURTHER DEGREE Matrix operations, algebraic properties of matrices,
inverses, elementary matrices, linear independence and
Apart from teaching and supervising in the Bachelors level,
the staff of the Institute also supervise research projects homogeneous linear systems, matrices with special forms.
Determinants,
properties
of
expansion,
cofactor
that lead to Masters and Doctorate degrees in the three determinants, Cramer’s rule, eigenvalues, eigenvectors and
branches of mathematics. diagonalization.

The modes for further degree programs at the Institute are
by research with dissertation or theses. Assessment:
Continuous Assessment: 40%
JOB OPPORTUNITIES Final Examination: 60%

The learning of mathematics will help increase one's skills Medium of Instruction:
in problem solving and analysis. It trains the mind to English
manipulate information, to form accurate, complicated and Humanity Skill:
abstract ideas and to enable one to discern complicated CT3, LL2
arguments. The training to think quantitatively, logically and
analytically in problem solving may prove valuable in one's
chosen career. References:
1.
Epp, Sussana S. (2011). Discrete Mathematics with
applications, 4 edition, Cengage Learning.
th
Since the use of mathematics is all encompassing in 2. Ensly, Douglas E. and Crawley, J.W. (2006). Discrete
human endeavour, a graduate career opportunities are Mathematics. John Wiley and Sons.
almost limitless and not only confined to teaching and
research. Many graduates from this Institute have found 3. Devlin, K. (1992). Sets, Functions and Logic,
nd
Chapman & Hall (2 edition).
employment in the financial sectors (banking, accountancy 4. Anton, H., Rorres, C. (2005). Elementary Linear
and insurance for instance), management, business, Algebra with Applications, Wiley High Education Inc
industry and computing sectors.
(9th edition).
5. Larson, R. and Falvo D. (2012). Elementary Linear
th
Algebra. Brooks/Cole Thomson Learning (7 edition).
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