Do you need to perform statistical analysis within an Excel workbook? There exists a nice tool, named MegaStat. You can download its user guide HERE.
Applied Mathematics for Business and Economics
This course is designed for the students who are in
semester one, year one (foundation year), department of Business and Economics.The core topics in this course are: one-variable functions
and graphs; linear and quadratic
functions; functional modeling; differentiation of functions and applications
in approximation by differential, optimization, Marginal analysis, and
elasticity; modeling of two-variable functions; partial differentiation and
application in approximation, optimization using second partial derivative test
and Lagrange Multiplier; and linear programming using graphical approach,
theorem of corner points. Click here to download the LECTURE NOTES
Mathematics for Engineering I
This course is intended for the foundation-year students in
the department of Civil Engineering and Electronic and Electrical Engineering in their first semester. The main topics are: linear algebra in which it
includes matrices, determinants and various methods for solving system of
linear equations, vectors in two and three dimensional spaces and complex
numbers. Click here to download lecture notes.
This course is aimed at foundation-year students in the department of Civil Engineering and Electronic and Electrical Engineering in their second semester. The course provides topics in calculus: functions, inverse functions, trigonometric and hyperbolic functions and their inverses, limits, and continuity of functions, differentiation and integration with various techniques, definite integral with some applications, and infinite series including power series.Click here to download lecture note.
Mathematics for Engineering IIIThe course is designed for engineer students in semester 1, year 2. A continuation of calculus in Mathematics for Engineering II, this course treats more advanced topics of calculus: several-variable functions, partial differentiation, double and triple integrals and their applications, and ordinary differential equations. Prerequisite: Mathematics for Engineering II.
Click here to download course outline.
Click here to download lecture note.
Basic Statistics for Computer Science
This course is aimed at computer science students. The main topics include descriptive statistics: frequency distribution, graphical representation of data, measures of central tendency, and measures of dispersion. It is also included with counting techniques and probability, and random variable and probability distributions where you will discover some discrete distributions like binomial, Poisson, and Hyper-geometric distributions. You will also encounter Normal or Gaussian distribution.
Click here to download lecture note.
Introduction to Statistics IThe course is designed for those who are in semester one, year 2, department of Hotel and Tourism, Business and Economics and for those who are in the semester 2, year one, department of Law. The main topics are data descriptions which include frequency distribution, graphic presentation, measures of location, and measures of dispersion, probability concepts, discrete probability distributions and the normal probability distribution. For more detail, download the course outline. The text book to be used in the course: Robert D. Mason, Douglas A. Lind, and William G. Marchal, Statistical Techniques in Business and Economics, tenth edition, the United States of America, Irwin/McGraw-Hill, 1999. Click here to download power point show.
Download PowerPoint that is used in classroom
Introduction to Statistics II
The course is aimed at students who the program of semester 2, year 2, department of hotel and tourism, business and economics. Continuation from Introduction to Statistics I, Introduction to Statistics II treats topics, such as sampling methods and sampling distributions, tests of hypothesis: large and small samples, analysis of variance, and linear regression and correlation.The text book to be used in the course: Robert D. Mason, Douglas A. Lind, and William G. Marchal, Statistical Techniques in Business and Economics, tenth edition, the United States of America, Irwin/McGraw-Hill, 1999.Click here to download power point show.
Download PowerPoint that is used in classroom
