module specification

FE5056 - Problem Solving: Methods and Analysis (2024/25)

Module specification Module approved to run in 2024/25
Module title Problem Solving: Methods and Analysis
Module level Intermediate (05)
Credit rating for module 15
School Guildhall School of Business and Law
Total study hours 150
 
9 hours Assessment Preparation / Delivery
105 hours Guided independent study
36 hours Scheduled learning & teaching activities
Assessment components
Type Weighting Qualifying mark Description
Coursework 100%   Individual Coursework -2000 words
Running in 2024/25

(Please note that module timeslots are subject to change)
Period Campus Day Time Module Leader
Spring semester North Friday Morning
Spring semester North Thursday Afternoon
Spring semester North Thursday Morning
Spring semester North Friday Afternoon

Module summary

This module aims to develop students’ ability to understand and apply problem solving methods and analysis in relation to issues that may arise in business and management subject areas.  

The module offers an opportunity for students to collect, present, analyse and interpret qualitative and quantitative data from a variety of data sources such as ONS and other sources.  It seeks to enhance students’ knowledge and understanding of the business environment and develop their data management and data analysis skills using IT packages as appropriate.

The module provides the quantitative and qualitative data analysis skills that underpin the success of an empirical research project. This module helps to build the sound foundation required to undertake a final year project / dissertation module.

Syllabus

LO1

Identification of problems that may arise in business and management subject areas.
Refinement of issues for investigation, and formulation of empirical research questions.
Problem-solving approaches and philosophical perspectives: positivism, realism, pragmatism and interpretivism.
Distinction between deductive, inductive and abductive approaches
Formulation of epistemological, ontological and axiological positions

LO2

Problem Solving Methodological Choice: quantitative methods, qualitative methods, multiple/mixed methods
Choosing research strategies: Experiment, Case Study, Survey, Grounded Theory, Archival Research, Ethnography, Action Research, Narrative Inquiry

LO3

Describing data types: secondary data and primary data
Primary data sources such as observation, surveys, interviews
Secondary data sources such as indices, economic indicators,  ONS
Data sampling and data collection methods
Analysing qualitative and quantitative data: content/documentary analysis, thematic analysis; time series analysis, cross-sectional analysis, panel analysis, case study analysis, regression analysis
Using tables, charts, graphs, diagrams and statistics
Using IT packages such as Excel, EViews, Stata, SPSS, and NVivo.
Data interpretation, making inferences and reporting results

Balance of independent study and scheduled teaching activity

Delivery of the module will consist of 2-hour lectures and 1-hour seminars. The emphasis will be on student learning through problem solving, participation and formative feedback. The seminar will be student centred. Students will be encouraged to research business and management related issues from a variety of sources that may include databases, newspapers, textbooks and on-line sources to identify aspects and issues relevant to their areas of study. They are expected to develop qualitative and quantitative data collection and data analysis skills as well as cognitive abilities and generic skills that enable an appreciation of the nature of business research.

Students are expected to complement the 'formal' learning activity with reading of the material suggested in the teaching sessions, collecting, analysing and interpreting data, and writing, planning and preparing for research projects.

Students are encouraged to adopt a reflexive approach, drawing on their diverse socio-cultural backgrounds and experiences. A student-centred approach is adopted. Equality is promoted by treating everyone with equal dignity and worth, while also raising aspirations and supporting achievement for those students with diverse requirements and backgrounds.

The virtual learning environment (Weblearn) supports the relevant module learning and teaching materials such as lecture slides, seminar questions, guideline instructions to seminar questions, assessment strategy, assessment and grading criteria, deadlines and feedback details.

Learning outcomes

On successful completion of this module students will be able to:

  1. Identify problems and issues that may arise in business and management subject areas, and formulate empirical research questions
  2. Critically examine and apply qualitative and quantitative methods and techniques for understanding and addressing research problems and questions.
  3. Collect and analyse qualitative and quantitative data in a subject context, and appropriately interpret and report results and findings using relevant IT packages.

Bibliography

Core Textbook:

Saunders, M., Lewis, P. and Thornhill, A. (2019). Research Methods for Business Students, 8th ed., Pearson Education Limited. [This is an E-BOOK. Hard copies available at Holloway Road 650.072 SAU].

Additional Textbooks:

Asteriou, D. and Hall, S. G. (2016). Applied econometrics, 3rd edition, Palgrave Macmillan. [This is an E-BOOK. Hard copies are available at Holloway Road 330.015195 AST].

Barrow, M. (2017). Statistics for economics, accounting and business studies, 7th ed., FT Prentice Hall. [This is an E-BOOK. Hard copies available at Holloway Road 519.502433 BAR].

Bradley, T. (2013). Essential mathematics for economics and business, 3rd ed., John Wiley & Sons Ltd.  [Hard copies available at Holloway Road 330.0151 BRA].

Brooks, C. (2019). Introductory econometrics for finance, 4th ed., Cambridge: Cambridge University Press. [This is an E-BOOK and hard copies are available at Holloway Road 332.015118 BRO].

Chiang, A. C. and Wainwright, K. (2005). Fundamental methods of mathematical economics, 4th ed., McGraw-Hill. [Hard copies available at Holloway Road 330.0151 CHI].

Creswell, J.W. and Creswell, J.D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage. [Hard copies available at Holloway Road 300.72 CRE].

Denzin, N. and Lincoln, Y. (2017). The SAGE Handbook of Qualitative Research. Sage. [Earlier E-BOOK is available. Hard copies available at Holloway Road 300.72 SAG].

Jacques, I. (2018). Mathematics for economics and business, 9th ed., Pearson. [This is an E-BOOK. Earlier editions available as hard copies at Holloway Road 510.2433 JAC].

Oakshott, L. (2016). Essential quantitative methods for business, management and finance, 6th ed., Palgrave Macmillan. [This is an E-Book. Earlier editions available as hard copies at Holloway Road 658.0015195 OAK].

Swift, L. and Piff, S. (2014). Quantitative methods for business, management and finance, 4th ed., Palgrave-Macmillan. [This is an E-BOOK. Hard copies available at Holloway Road, 519.5 SWI].

Sydsaeter, K. and Hammond, P. (2016). Essential mathematics for economic analysis, 5th ed., Pearson Education. [This is an E-Book. Earlier editions available as hard copies at Holloway Road 330.0151 SYD].

Waters, C. D. J. (2011). Quantitative methods for business, 5th ed., FT Prentice Hall. [This is an E-BOOK. Earlier editions available as hard copies at Holloway Road 658.4033 WAT].