Teacher(s)
Language
English
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> French-friendly
Content
Introduction to Accounting
Introduction to performance evaluation
- Definition
- Principle of the double entry
- The balance sheet: definition of the main accounts
- Income statement
- Fundamental themes of financial analysis
- Restructuring the balance sheet and income statement
- Economic and financial mass method
- Ratios method
- Cash flow analysis
- Main cost concepts
- Partial costing methods and decision support
- Full costing methods
- Discounted cash flows
- Net Present Value
- Internal rate of return
- The payback period
Introduction to performance evaluation
- Assessing financial performance
- Overall performance anaysis: economic, social and environmental measures ("triple bottom line")
Teaching methods
The teaching method includes lectures, readings, exercices and case studies.
Evaluation methods
The final grade of the course consists of a written final exam (60%) and a group work (40%). In case of written exam failure, the grade of the group work won't be taken into account in the final grade. Only the unsuccessful part will be represented in case of retake exam.
Note that by submitting your group work for evaluation:
- you assert that it accurately reflects the facts and to do so you need to have verified the facts, especially if they originate from generative AI resources;
- you assert that all your sources that go beyond common knowledge are suitably attributed. Common knowledge is what a knowledgeable reader can assess without requiring confirmation from a separate source;
- you assert that you have respected all specific requirements of your assigned work, in particular requirements for transparency and documentation of process, or have explained yourself where this was not possible.
If any of these assertions are not true, whether by intent or negligence, you have violated your commitment to truth, and possibly other aspects of academic integrity. This constitutes academic misconduct.
Note that by submitting your group work for evaluation:
- you assert that it accurately reflects the facts and to do so you need to have verified the facts, especially if they originate from generative AI resources;
- you assert that all your sources that go beyond common knowledge are suitably attributed. Common knowledge is what a knowledgeable reader can assess without requiring confirmation from a separate source;
- you assert that you have respected all specific requirements of your assigned work, in particular requirements for transparency and documentation of process, or have explained yourself where this was not possible.
If any of these assertions are not true, whether by intent or negligence, you have violated your commitment to truth, and possibly other aspects of academic integrity. This constitutes academic misconduct.
Online resources
The course powerpoints and other documents are available on the Moodle course platform.
Bibliography
Peter Walton and Walter Aerts, Global Financial Accounting and Reporting. Principles and Analysis. Thomson. 2020.
Pierre Vernimmen, Pascal Quiry, Maurizio Dallocchio, Yann Le Fur, Antonio Salvi, Corporate Finance, Theory and Practice. Wiley, 2018
Pierre Vernimmen, Pascal Quiry, Maurizio Dallocchio, Yann Le Fur, Antonio Salvi, Corporate Finance, Theory and Practice. Wiley, 2018
Teaching materials
- Le support du cours se compose des powerpoints, des documents distribués au cours et autres documents déposés sur la plateforme Moodle du cours
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Chemical and Materials Engineering
Master [120] in Civil Engineering
Master [120] in Biomedical Engineering
Master [120] in Mechanical Engineering
Master [120] in Electrical Engineering
Master [120] in Chemistry
Master [120] in Physical Engineering
Master [120] in Computer Science and Engineering
Master [120] in Computer Science
Master [120] in Electro-mechanical Engineering
Master [120] in Mathematical Engineering
Master [120] in Data Science Engineering
Master [120] in Data Science: Information Technology
Master [120] in Energy Engineering
Minor in Mangement (basic knowledge) [Programme pour les étudiants de l'EPL exclusivement]