Introduction to Mathematics for Business and Economics A

Code School Level Credits Semesters
CELEN107 Centre for English Language Education 0 10 Autumn China
Code
CELEN107
School
Centre for English Language Education
Level
0
Credits
10
Semesters
Autumn China

Summary

Target Students

UNNC Preliminary Year SPP & International Students (non-domestic students) who are majoring in NUBS-related UG degrees.

Classes

Assessment

Assessed by end of autumn semester

Educational Aims

To teach students about the basics of descriptive statistics, correlation and regression, probability distribution, sampling distribution, estimation of population, confidence intervals, and hypothesis testing.To provide students with the confidence, mathematical knowledge and fluency in statistical techniques that are core to quantifying and analysing basic problems in business management and economics;To develop additional mathematical and statistical techniques, and their applications in problem solving.To prepare students for more advanced quantitative modules to be encountered in their next year of study.

Learning Outcomes

Manipulate standard algebraic and linear equations; understand basic functions and rules of Indices and Logarithms; calculate differentials and integrals of functions. Apply probability and statistical techniques to describe and analyse economic data.

 

Reason logically and work analytically; perform with high levels of accuracy; manipulate mathematical formulae, algebraic equations and standard functions; apply fundamental mathematical concepts to economic problems.  Develop hypotheses and valid test methodologies.

Construct and present mathematical arguments with accuracy and clarity; apply basic mathematical techniques to problems arising in the study of economics. Utilise probability theorems and statistical techniques to analyse and draw conclusions from real world economic data.

 

Communicate mathematical arguments using standard terminology; express ideas and solution methods in the analysis of mathematical problems appropriately and effectively. Critically analyse the validity of data through understanding its source and collection methodology.

Conveners

View in Curriculum Catalogue
Last updated 09/01/2025.