BSc Management (Human Resources) with Industrial/Professional Experience

Year of entry: 2020

Course unit details:
Decision Analysis for Business & Management

Unit code BMAN31152
Credit rating 10
Unit level Level 3
Teaching period(s) Semester 2
Offered by Alliance Manchester Business School
Available as a free choice unit? No

Overview

- Decision analysis under uncertainty and risk - basic decision rules and decision tree analysis
- Bayesian  or multiple stage decision making model and method
- Modelling and analysis of decision maker's attitudes towards risk, preferences and values
- Multiple criteria performance assessment and decision analysis
- Group decision making processes and methods
- Introduction to game theory for decision making in business and management under competition
- Markov chain process and dynamic or time-dependent decision making under risk

Pre/co-requisites

Unit title Unit code Requirement type Description
Quantitative Methods for Business and Management 1 BMAN10821 Pre-Requisite Compulsory
Quantitative Methods for Business & Management 2 BMAN10732 Pre-Requisite Compulsory
Quantitative Methods for Accounting and Finance BMAN10750 Pre-Requisite Compulsory
Quantitative Methods for Business and Management BMAN10960 Pre-Requisite Compulsory
BMAN10960 or BMAN10750 are pre-reqs of BMAN31152 (not for Maths Stats & OR). Students must be registered on BSc Mgt/Mgt specialism, IM, IMABS, Acctg, Maths, Stats & OR, MathswBuss&Mgt to enroll onto BMAN31152.

Pre-requisite course units have to be passed by 40% or above at the first attempt unless a higher percentage is indicated within this course outline.

Pre-requisites: BMAN10960 Quantitative Methods for Business & Management or BMAN10750 Quantitative Methods for A+F. For BSc Mathematics with Business and Management, BSc Mathematics with Finance, BSc Mathematics and Statistics no pre- requisites are required.

International exchange students may be permitted to take this course unit provided that the equivalent pre- requisite courses have been taken and checked by the course co-ordinator.



 

Aims

To introduce the concepts, processes, models, methods and software tools of decision analysis with real-world application examples for supporting better operational, tactical and strategic decision making in business and management.

Learning outcomes

At the end of the course students should be able to:
- describe and apply the models and methods covered
- consider different approaches to particular decision problems and identify the assumptions, advantages and disadvantages of each approach
- discuss how computer software tools are used to implement the models and methods, and how they are used in real-world decision problems in business and management

Teaching and learning methods

Methods of delivery: Lectures, seminars and computer based support
Lecture hours: 22

Seminar hours: 7

Private study: 71

Total study hours: 100

Total study hours: 100 hours split between lectures, classes, self study and preparation for classes, coursework and examinations.

Informal Contact Methods
1. Office Hours: 4:00pm-6:00pm Wednesdays
2. Online Learning Activities (blogs, discussions, self-assessment questions)
3. Drop in Surgeries (extra help sessions for students on material they may be struggling with)

Assessment methods

70% examination and 30% coursework.

2.5 hour closed-book exam in which 3 questions should be attempted.

Students will be required to submit a coursework assignment report. Details of the coursework assignment and guidelines for writing up the report will be given in the lectures. Students must submit their coursework assignment reports to the UG office by the dates given in the lectures. 
 

Feedback methods


• Informal advice and discussion during lectures and seminars.

• Written and/or verbal comments on assessed or non-assessed coursework.

Responses to student emails and questions.

• Generic feedback posted on Blackboard regarding overall examination performance.

Recommended reading

Hillier, F.S. & Lieberman, G.J. (2004) Introduction to Operations Research 8th Edition, McGraw-Hill. Precinct

Belton, V., Stewart, T. J. (2002), Multiple Criteria Decision Analysis -An Integrated Approach. Kluwer Academic Publishers: Dordrecht, ISBN 0-7923-7505-X.

Keeney, R.L. and Raiffa, H. (1993), Decision with Multiple Objectives: Preference and Value Tradeoffs. Cambridge University Press.

Saaty, T. L. (1988), The Analytic Hierarchy Process. University of Pittsburgh, 1988.

Sen, P. and Yang, J. B. (1998), Multiple Criteria Decision Support in Engineering Design, Springer. All libraries

Taha, H. A. (1997), Operations Research, An Introduction, Prentice-Hall Inc. 6th Edition, Precinct.


 

Study hours

Scheduled activity hours
Assessment written exam 2.5
Lectures 22
Seminars 7
Independent study hours
Independent study 68.5

Teaching staff

Staff member Role
Jian-Bo Yang Unit coordinator

Additional notes

Other staff involved: None

Pre-requisite course units have to be passed by 40% or above at the first attempt unless a higher percentage is indicated within this course outline.

Pre-requisites: BMAN10960 Quantitative Methods for Business & Management or BMAN10750 Quantitative Methods for A+F. For BSc Mathematics with Business and Management, BSc Mathematics with Finance, BSc Mathematics and Statistics no pre- requisites are required.

Co-requisites: None

Dependent courses: N/A

International exchange students may be permitted to take this course unit provided that the equivalent pre- requisite courses have been taken and checked by the course co-ordinator.

Programme Restrictions: This course is available to all students registered under the BSc programmes at MBS, provided that they meet the requirements set out in the course pre-requisites. Students for the following programmes can take this course: BSc Mathematics with Business and Management, BSc Mathematics with Finance, BSc Mathematics and Statistics; students from other university programmes may be allowed to take this course by discussion with the course coordinator.

Timetable

https://ughandbook.portals.mbs.ac.uk/Myprogramme/Teachingtimetables.aspx

For Academic Year 2019/20

Updated: May 2019

Approved by: March UG Committee

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