At the University of Greenwich, I lead and contribute to several undergraduate and postgraduate modules, including ACCO1084: Introduction to Management Accounting and ACCO1117: Personal and Professional Development (PPD). My responsibilities also extend to second-year curriculum development, particularly through my leadership in designing and delivering the newly introduced module, COMP1934 Business Analytics I, which forms a core part of the Accounting and Business Analytics degree programme. This module emphasises practical, descriptive analytics through hands-on work with tools such as Microsoft Excel, Bloomberg Terminal, STATA, and Qlik, as well as the creation and presentation of dashboards to support evidence-based business decisions.
My teaching philosophy is rooted in the integration of Technology Enhanced Learning (TEL) to create inclusive, engaging, and accessible learning experiences. I work with diverse student cohorts of around 30–35 students per class, and I actively promote group diversity in terms of gender, age, and academic background to enrich classroom discussions and collaborative learning. As a personal tutor, I provide tailored academic and pastoral support, assist students with CV and cover letter development, and prepare them for career fairs such as the annual Greenwich Job Fair.
In my modules, I incorporate interactive platforms like Mentimeter for live feedback and engagement, use Bloomberg to guide students in obtaining real-time financial data, and support their development of statistical and business modeling skills with STATA and Excel. I also encourage the use of Qlik for data visualisation, aiming to bridge the gap between theoretical concepts and practical application. My commitment to digital inclusivity is aligned with my broader goal of preparing students for the evolving demands of the labour market by equipping them with relevant digital and analytical competencies.
Through this portfolio, I aim to reflect on my professional practice, evaluate the effectiveness of the digital tools and platforms I integrate into my teaching, and further explore how TEL can support inclusive, authentic, and employability-focused learning experiences [K1; V1; V2].
This course consists of a series of weekly lectures and tutorials designed to introduce students to the basic tools and techniques and processes that comprise research methods. There are two aims to the Research Methods course:
1. It is a standalone course that provides students with a basic grounding in research methods.
2. Separately, it also provides students with some of the skills they will need to complete the independent study course FINA 1037.
Students undertake the Research Methods course immediately before proceeding to Dissertation (conditional on the recommendation of the Examination Board). (Note: Part-time students will take this course in their second year of study.)
The Research Methods course seeks to prepare students for undertaking an independent dissertation that contains original conclusions that can, in some small way, contribute to the existing published academic literature. Such originality may come from either the method (eg. different variables, data sets, countries, time periods) or, less commonly, from the theory (eg. a new theoretical framework) or methodology (eg. a new instrument/variable). It is this vital aspect of originality in which a dissertation differs from an essay.
Aims
The Research Methods course:
1- Guides in developing a suitable research question in the area of accounting, banking, finance, financial management or other suitable topics
2- Explores the academic and methodological requirements for accounting and finance based M.Sc. dissertations
3- Provides guidance in applying the basic elements of research methods, including methodology, research design, data collection, and data analysis, to the research topic
4- Enables students to refine and develop the topic in the form of a research proposal with the involvement of a supervisor
5- Develops an understanding of the most commonly used research methods, both quantitative and qualitative, suitable for small-scale research projects
6- Develops advanced intellectual skills such as evaluation, analysis, synthesis, critical thinking, and project management skills
On completing the Research Methods course, students will be able to:
1- Identify the basic elements involved in defining a piece of academic work and structure such work appropriately: specifically, defining the broad area of interest, together with important issues and questions that lie within it
2- Undertake a focused and thorough literature search, and explain its role and function
3- Consider the relation of the broad area of interest to existing literature and to issues of methodology, research design and method;
4- Identify, collect, and analyse relevant data;
5- Undertake a formal written proposal that:
- develops and addresses a specific research question arising from the existing literature
- incorporates a research question or hypothesis
- presents a viable research design supported by related research techniques, including a clear understanding of the strengths and weaknesses of proposed choices in this area, and a realistic contingency plan to cope with predictable difficulties;
- evaluates existing literature in influencing the form (i.e. how the proposed design relates to that used by others) and content of the work (i.e. the substantive contributions made by other researchers).
The business finance course is intended for students who are not on the accounting and finance programme but require some knowledge of the financial aspects of business management. Students will be introduced to financial concepts and theories applied to finance related issues encountered by firms in real life situations, focusing on the role of the Financial Manager and the theory and skills required to make sound investment and financing decisions. The course deals with the theory and techniques of financial decision related issues encountered by firms in real life situations. Students will gain an understanding of why maximising shareholders' wealth is regarded as a primary financial objective of a firm. In addition, students will develop their comprehension of the following key financial decisions investment, financing, dividends and risk management as paramount to creating wealth. The course will, additionally, focus on a specific topical financial issue, for example, a recent liquidation or a macroeconomic event which has impacted business finance; students will be expected to study this topic in depth and deliver an extended essay.
Learning Outcomes:
On successful completion of this course, a student will be able to:
1) Critically evaluate the principles of financial decision-making in a firm.
2) Explain the working of the economic and financial systems, and the role they play in providing a framework for financial decision-making.
3) Select and use appropriate techniques of financial decision-making in the areas of investment, financing, dividends and risk management.
4) Demonstrate the problem-solving, decision-making and report writing skills required by modern professionals in finance.
Aims:
This module aims to develop a student’s financial modelling and analysis abilities which are important skills necessary for supporting financial decision-making. Using a variety of analysis and modelling applications, tools and techniques, this module provides students with highly marketable skills and a greater insight into current financial applications and methods.
Learning Outcomes:
On successful completion of this module, a student will be able to:
1. Apply their financial knowledge and computing skills to practical modelling situations using the principles of spreadsheet model building.
2. Display enhanced spreadsheet skills and well-developed modelling and programming skills.
3. Critically analyse and interpret a typical financial/budgeting business problem and create an appropriate integrated solution.
4. Create an advanced Excel solution using VBA.
5. Analyse a “big data” case study problem and develop a Qlik Sense business intelligence software solution.
6. Consolidate, interpret, and communicate analytical findings to non-financial readers accurately and effectively.
Aims:
This module aims to take you from zero to a solid foundation in Management Accounting skills and knowledge. It is concerned with the analysis of costs, planning and control, and all internal operations within an organisation. However, Management Accounting is more than numbers; it forms the basis of decision-making which is heavily influenced by its organisational context. Analysing organisational behaviour and management accounting includes analysing the employees who operate within the organisation. When human beings are involved, it is not just the numbers that decide an organisation's success or failure. It is within a diversified business environment this module aims to enable students to understand and apply these management accounting techniques, to determine not only the "How", but also the "Why" of the approaches introduced. A further aim is for students near the beginning of their studies to develop conceptual frameworks that can be used throughout their degree programme as tools in which to analyse organisational activity.
Learning outcomes (LOs):
On successful completion of this module, students will be able to:
1. Describe some of the major historical influences on the development of theories of organisational management and explain the relevance of these ideas for understanding current organisational problems, the current business environment, and the influences this has on how organisations and accountants operate.
2. Evaluate how managerial, professional, and business functions contribute to an efficient, effective, and ethical organisation, and assess the role of professional ethics in organisations while reflecting on organisational ethical values, behaviours, and sustainable practices.
3. Explain various theoretical approaches to understanding people's behaviour at work and analyse their application to the practice of management and management accounting in organisations, including the nature of the manager's role, leadership, and change management.
4. Apply different approaches to classify and identify costs and utilise them to generate basic cost accounting statements and management information reports synthesizing data-driven insights to optimize business operations and decision-making purposes.
5. Demonstrate knowledge of controls, budgeting, and short-term decision-making within organizations, and evaluate their significance for effective financial management and performance evaluation. Consider ethical considerations and sustainable practices in the decision-making process.
6. Apply effective communication and collaboration skills to convey complex concepts and findings to diverse stakeholders and work in interdisciplinary teams
Aims: Building on the predictive business analytics skills gained in Quantitative Methods in Year 1, this practical module places greater emphasis on descriptive business analytics. This module aims to provide an understanding of the importance of business and management modelling in practice and hands-on experience to apply current quantitative techniques and tools to a variety of problems encountered in business and management.
Learning outcomes (LOs):
1- Demonstrate knowledge and understanding of core concepts and analytical frameworks in descriptive business analytics.
2- Develop and apply core transferable spreadsheet skills.
3- Critically analyse and interpret typical business and financial problems and create appropriate solutions using standard spreadsheets and business analytics principles.
4- Evaluate and apply the principles of spreadsheet model building to create flexible descriptive business analytics models.
5- Communicate analytical findings effectively.