Quantitative Methods 1b

Code

BUSI1039

School

Nottingham University Business School

Level

1

Credits

10

Semesters

Spring Malaysia

Summary

• Economic application of calculus
   
• Confidence intervals
   
• Introduction to hypothesis testing
   
• Partial differentiation
   
• Optimisation of two variables
   
• Probability
   
• Random Variables
   
• Sampling Distributions

Target Students

Available to all Business School students with the required pre-requisiteBUSI1037 Quantitative Methods 1a (OR A-level Maths Grade C and above or equivalent). This module is not available to non-Business School students.

Classes

• One 1-hour seminar each week for 4 weeks
• One 2-hour lecture each week for 12 weeks

Twelve 2-hour lectures and eight 1-hour seminars per semester.

Assessment

• 20% Coursework 1: Workshop Exercises.
• 80% Exam 1 (1-hour-30-minute): One 1.5-hour examination

Assessed by end of spring semester

Educational Aims

Learning Outcomes

Knowledge and understanding

This module develops a knowledge and understanding of:

• The use of accounting and other information systems for planning, control, and decision making.
• The comprehension and use of relevant communications for application in business and management, including the use of digital tools.
• Relevant quantitative techniques, including mathematical and statistical methods. Economic data and its appreciation.

Intellectual skills

This module develops:

• The ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making.
• Conceptual and critical thinking, analysis, synthesis and evaluation.

Professional practical skills

This module develops:

• Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.

Transferable (key) skills

This module develops:

• Articulating and effectively explaining information.

Knowledge and understanding (Industrial Economics)

This module develops:

• The applications of economics. To discover how to apply relevant economic principles and reasoning to a variety of applied topics, in particular in the fields of industrial organisation and managerial economics.
• Understanding of distinctive economic theories, interpretations and modelling approaches, and their competent use.
• Mathematical methods for economics.
• Statistical methods for economics.
• The nature, sources and uses of quantitative data and an ability to select and apply appropriate methods that economists might use to analyse such data.

Conveners

• Dr Hsin Vonn Yvonne Seow
• Dr Hway Boon Ong