Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1812
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dc.contributor.authorSokolov, Maksim-
dc.date.accessioned2023-04-20T18:38:26Z-
dc.date.available2023-04-20T18:38:26Z-
dc.date.issued2023-
dc.identifier69de1263-8bdc-47b0-84d1-60a068f90ae3-
dc.identifier.urihttps://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1812-
dc.description.tableofcontentsIntroductionen_US
dc.description.tableofcontents0. Essentials Reviewen_US
dc.description.tableofcontents1. Percenten_US
dc.description.tableofcontents2. Compound Percent Changeen_US
dc.description.tableofcontents4. Equivalent Paymentsen_US
dc.description.tableofcontents5. Equivalent Ratesen_US
dc.description.tableofcontents6. Annuitiesen_US
dc.description.tableofcontents7. Composite Annuity Problemsen_US
dc.description.tableofcontents8. Finding PMT, n And i Of Annuitiesen_US
dc.description.tableofcontents9. Perpetuitiesen_US
dc.description.tableofcontents10. Fixed Income Securitiesen_US
dc.description.tableofcontents11. Amortization Of Loansen_US
dc.description.tableofcontents12. Net Present Value (Case Studies)en_US
dc.description.tableofcontents13. Sequences of Discountsen_US
dc.description.tableofcontents14. Exchange Ratesen_US
dc.description.tableofcontents15. Payment Terms And Cash Discountsen_US
dc.description.tableofcontents16. Price Structure : Markup And Markdownen_US
dc.description.tableofcontents17. Break-Even Analysisen_US
dc.language.isoengen_US
dc.relation.hasversionhttps://openlibrary.ecampusontario.ca/item-details/#/ff8d31a1-2c14-4831-a403-3a61a46169a0-
dc.rightsCC BY-NC-SA | https://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.subjectFinanceen_US
dc.subjectBusinessen_US
dc.subjectMathematicsen_US
dc.titleThe Guide to Mathematics of Business and Finance, 2nd Edition (Version 1.0 2024)en_US
dc.typeBooken_US
dcterms.accessRightsOpen Accessen_US
dcterms.educationLevelCollegeen_US
dcterms.educationLevelUniversity - Undergraduateen_US
dcterms.educationLevelAdult and Continuing Educationen_US
dc.date.updated2023-12-13-
dc.identifier.slughttps://openlibrary.ecampusontario.ca/catalogue/item/?id=69de1263-8bdc-47b0-84d1-60a068f90ae3-
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ecO-OER.AncillaryMaterialNoen_US
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ecO-OER.AccessibilityStatementNoen_US
lrmi.learningResourceTypeEducational Unit - Courseen_US
lrmi.learningResourceTypeInstructional Object - Lecture Materialen_US
lrmi.learningResourceTypeAssessment - Self-Assessment/Practiceen_US
lrmi.learningResourceTypeAssessment - Question Bank/Problem Seten_US
lrmi.learningResourceTypeLearning Resource - Textbooken_US
lrmi.learningResourceTypeLearning Resource - Reference Materialen_US
ecO-OER.POD.compatibleNoen_US
dc.description.abstractThis 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-a403-3a61a46169a0en_US
dc.subject.otherBusiness & Economy - Accountingen_US
dc.subject.otherBusiness & Economy - Business Managementen_US
dc.subject.otherBusiness & Economy - Finance & Tradeen_US
dc.subject.otherSciences - Mathematics & Statisticsen_US
ecO-OER.VLS.CategoryNoneen_US
ecO-OER.VLSNoen_US
ecO-OER.CVLPNoen_US
ecO-OER.ItemTypeTextbooken_US
ecO-OER.MediaFormatPDFen_US
ecO-OER.VLS.cvlpSupportedNoen_US
Appears in Collections:Ontario OER Collection

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