## MG461Half UnitQuantitative Analysis in Management

This information is for the 2016/17 session.

Teacher responsible

Prof Gregory Sorkin NAB.3.19

Availability

This course is compulsory on the MSc in Management, MSc in Management (CEMS MIM) and MSc in Management (MiM Exchange). This course is available on the MPhil/ PhD in Employment Relations & Org Behaviour and MPhil/ PhD in Management. This course is not available as an outside option.

Course content

Management Science / Business Analytics topics including mathematical modelling and optimisation (particularly linear programming), Monte Carlo simulation and discrete event simulation, and other topics. Introduction to probability including conditional probability, Bayes’ theorem, and essential distributions.  Statistics topics including analysis of variance, simple and multiple linear regression(including ideas of confounding and statistical control), the use of dummy variables, interactions and non-linear effects of explanatory variables, collinearity, diagnostics and model development, and introductory  logistic regression modelling.

Teaching

20 hours of lectures and 13 hours and 30 minutes of computer workshops in the MT. 2 hours of lectures in the ST.

Students on this course will have a reading week in Week 6 of MT, in line with departmental policy

Formative coursework

Weekly homework and quizzes with periodic formative feedback by Class Teachers. 250-word data analysis project.

S. Christian Albright, Wayne L. Winston (2014), Business analytics: data analysis and decision making, 5th edition

Agresti, A., & B. Finlay. (2009). Statistical Methods for the Social Sciences (Fourth Edition). Pearson.

Assessment

Exam (85%, duration: 2 hours) in the main exam period.
Project (15%, 500 words) in the MT.

The project is a data analysis project.

Key facts

Department: Management

Total students 2015/16: 85

Average class size 2015/16: 17

Controlled access 2015/16: Yes

Lecture capture used 2015/16: Yes (MT)

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

• Problem solving
• Application of numeracy skills
• Specialist skills

Course survey results

(2012/13 - 2014/15 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 71%

Question

Average
response

2.3

Materials (Q2.3)

1.9

Course satisfied (Q2.4)

2.1

Lectures (Q2.5)

2.4

Integration (Q2.6)

1.9

Contact (Q2.7)

1.9

Feedback (Q2.8)

2.1

Recommend (Q2.9)

 Yes 51% Maybe 38% No 11%