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The Guide to Mathematics of Business and Finance, 2nd Edition

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dc.contributor.author Sokolov, Maksim
dc.date.accessioned 2023-04-20T18:38:26Z
dc.date.available 2023-04-20T18:38:26Z
dc.date.issued 2023
dc.identifier 69de1263-8bdc-47b0-84d1-60a068f90ae3
dc.identifier.uri https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1812
dc.description.tableofcontents Introduction en_US
dc.description.tableofcontents 0. Essentials Review en_US
dc.description.tableofcontents 1. Percent en_US
dc.description.tableofcontents 2. Compound Percent Change en_US
dc.description.tableofcontents 4. Equivalent Payments en_US
dc.description.tableofcontents 5. Equivalent Rates en_US
dc.description.tableofcontents 6. Annuities en_US
dc.description.tableofcontents 7. Composite Annuity Problems en_US
dc.description.tableofcontents 8. Finding PMT, n And i Of Annuities en_US
dc.description.tableofcontents 9. Perpetuities en_US
dc.description.tableofcontents 10. Fixed Income Securities en_US
dc.description.tableofcontents 11. Amortization Of Loans en_US
dc.description.tableofcontents 12. Net Present Value (Case Studies) en_US
dc.description.tableofcontents 13. Sequences of Discounts en_US
dc.description.tableofcontents 14. Exchange Rates en_US
dc.description.tableofcontents 15. Payment Terms And Cash Discounts en_US
dc.description.tableofcontents 16. Price Structure : Markup And Markdown en_US
dc.description.tableofcontents 17. Break-Even Analysis en_US
dc.language.iso eng en_US
dc.relation.hasversion https://openlibrary.ecampusontario.ca/item-details/#/ff8d31a1-2c14-4831-a403-3a61a46169a0
dc.rights CC BY-NC-SA | https://creativecommons.org/licenses/by-nc-sa/4.0/ en_US
dc.subject Finance en_US
dc.subject Business en_US
dc.subject Mathematics en_US
dc.title The Guide to Mathematics of Business and Finance, 2nd Edition en_US
dc.type Book en_US
dcterms.accessRights Open Access en_US
dcterms.educationLevel College en_US
dcterms.educationLevel University - Undergraduate en_US
dcterms.educationLevel Adult and Continuing Education en_US
dc.date.updated 2023-12-13
dc.identifier.slug https://openlibrary.ecampusontario.ca/catalogue/item/?id=69de1263-8bdc-47b0-84d1-60a068f90ae3
ecO-OER.Adopted No en_US
ecO-OER.AncillaryMaterial No en_US
ecO-OER.Reviewed No en_US
dc.rights.tk TK A | https://localcontexts.org/label/tk-attribution/
dc.rights.tk TK NC | https://localcontexts.org/label/tk-non-commercial/
ecO-OER.AccessibilityStatement No en_US
lrmi.learningResourceType Educational Unit - Course en_US
lrmi.learningResourceType Instructional Object - Lecture Material en_US
lrmi.learningResourceType Assessment - Self-Assessment/Practice en_US
lrmi.learningResourceType Assessment - Question Bank/Problem Set en_US
lrmi.learningResourceType Learning Resource - Textbook en_US
lrmi.learningResourceType Learning Resource - Reference Material en_US
ecO-OER.POD.compatible No en_US
dc.description.abstract This guide covers foundational topics of business and financial mathematics usually discussed in a typical one semester course offered by business schools of Canadian Colleges of Applied Arts and Technology. The guide is suitable for diploma or degree-level courses. The following topics are discussed: Percent and percent change, compound percent, simple and compound interest, annuities and perpetuities, loan amortization and mortgages, fixed income instruments, NPV, sequences of discounts, exchange rates, invoices, price structure, break-even analysis. The topics are explained by means of numerous examples. There are also end-of-chapter exercises with full solutions. The second edition of the guide introduces the use of artificial intelligence technologies, specifically Wolfram|Alpha and ChatGPT 4, to solve business and financial mathematics problems. Students will benefit from such content in several ways: • Becoming familiar with powerful systems like Wolfram|Alpha and ChatGPT. • Learning to use advanced AI technologies alongside standard tools such as calculators and Microsoft Excel. • Gaining deeper understanding of the subject matter by using AI as a source of information, interacting with AI and analyzing its responses. • Learning to receive hints from AI when facing difficulties. • Learning the art of AI prompting. • Becoming more efficient in calculations, with Wolfram|Alpha providing assistance for complex computational tasks. • Appreciating the necessity of deep subject matter knowledge in evaluating AI responses and creating clear, effective prompts. • Recognizing limitations of AI assistance. • Developing transferable skills for interacting with AI to solve problems in other knowledge areas. The academic philosophy of the guide is based on five pillars: 1. Briefness. The focus is only on the essential information. 2. Algebraic method. The priority is given to algebraic problem solving. However, essential Artificial Intelligence, calculator and Excel techniques are also discussed in the guide. 3. Logical flow. One topic sets the foundation for another topic. Careful reading without skipping is necessary. 4. Examples. Topics are explained using many carefully selected examples. There are also end-of-chapter exercises with full solutions. 5. No memorization. If used properly, the guide must lead to the level of understanding allowing to solve problems without having to remember many formulas and without using a formula sheet. The first edition of the guide can be found here: https://openlibrary.ecampusontario.ca/item-details/#/ff8d31a1-2c14-4831-a403-3a61a46169a0 For readers seeking a professional printed version, it is available for purchase: https://a.co/d/j2o4s67 en_US
dc.subject.other Business & Economy - Accounting en_US
dc.subject.other Business & Economy - Business Management en_US
dc.subject.other Business & Economy - Finance & Trade en_US
dc.subject.other Sciences - Mathematics & Statistics en_US
ecO-OER.VLS.Category None en_US
ecO-OER.VLS No en_US
ecO-OER.CVLP No en_US
ecO-OER.ItemType Textbook en_US
ecO-OER.MediaFormat PDF en_US
ecO-OER.VLS.cvlpSupported No en_US


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