{"id":2921,"date":"2026-06-05T04:08:57","date_gmt":"2026-06-05T04:08:57","guid":{"rendered":"https:\/\/ifrc.vn\/?p=2921"},"modified":"2026-06-05T04:43:39","modified_gmt":"2026-06-05T04:43:39","slug":"course-foundation-in-finance-mathematics-and-computational-methods","status":"publish","type":"post","link":"https:\/\/ifrc.vn\/index.php\/course-foundation-in-finance-mathematics-and-computational-methods\/","title":{"rendered":"Course: Foundation in Finance, Mathematics, and Computational methods"},"content":{"rendered":"
\n

Module 1: Fundamentals of Finance<\/strong><\/h4>\n
    \n
  • Introduction to financial systems and markets<\/li>\n
  • Time value of money (TVM)<\/li>\n
  • Interest rates, compounding, and discounting<\/li>\n
  • Financial instruments: stocks, bonds, derivatives (overview)<\/li>\n
  • Risk and return concepts<\/li>\n<\/ul>\n

    Module 2: Core Mathematical Foundations<\/strong><\/h4>\n
      \n
    • Algebra and functions in financial contexts<\/li>\n
    • Exponents, logarithms, and growth models<\/li>\n
    • Sequences and series (annuities, perpetuities)<\/li>\n
    • Introduction to calculus (limits, derivatives, basic integrals)<\/li>\n
    • Optimization techniques in finance<\/li>\n<\/ul>\n

      Module 3: Probability and Statistics<\/strong><\/h4>\n
        \n
      • Basic probability theory<\/li>\n
      • Random variables and distributions<\/li>\n
      • Expected value and variance<\/li>\n
      • Correlation and covariance<\/li>\n
      • Descriptive statistics and data analysis<\/li>\n
      • Introduction to statistical inference<\/li>\n<\/ul>\n

        Module 4: Financial Mathematics<\/strong><\/h4>\n
          \n
        • Discounted cash flow (DCF) analysis<\/li>\n
        • Net present value (NPV) and internal rate of return (IRR)<\/li>\n
        • Bond pricing and yield calculations<\/li>\n
        • Portfolio mathematics basics<\/li>\n
        • Risk measurement (standard deviation, beta)<\/li>\n<\/ul>\n

          Module 5: Introduction to Computational Methods<\/strong><\/h4>\n
            \n
          • Role of computation in finance<\/li>\n
          • Basic programming concepts (e.g., variables, loops, functions)<\/li>\n
          • Introduction to Python or similar tools<\/li>\n
          • Working with financial data<\/li>\n<\/ul>\n

            Module 6: Data Analysis and Visualization<\/strong><\/h4>\n
              \n
            • Data cleaning and preparation<\/li>\n
            • Using spreadsheets (Excel) for financial analysis<\/li>\n
            • Basic data visualization techniques<\/li>\n
            • Interpreting financial data<\/li>\n<\/ul>\n

              Module 7: Numerical Methods in Finance<\/strong><\/h4>\n
                \n
              • Numerical approximation techniques<\/li>\n
              • Solving equations (e.g., root finding)<\/li>\n
              • Simulation methods (Monte Carlo basics)<\/li>\n
              • Applications in pricing and risk analysis<\/li>\n<\/ul>\n

                Module 8: Applied Finance with Computation<\/strong><\/h4>\n
                  \n
                • Building financial models<\/li>\n
                • Portfolio analysis using computational tools<\/li>\n
                • Scenario and sensitivity analysis<\/li>\n
                • Introduction to algorithmic thinking in finance<\/li>\n<\/ul>\n

                  Module 9: Practical Applications and Projects<\/strong><\/h4>\n
                    \n
                  • Case studies in financial analysis<\/li>\n
                  • Real-world datasets and exercises<\/li>\n
                  • Mini-projects combining math, finance, and coding<\/li>\n
                  • Final project: Develop a basic financial model<\/li>\n<\/ul>\n

                    Module 10: Career Foundations and Next Steps<\/strong><\/h4>\n
                      \n
                    • Overview of careers in finance and fintech<\/li>\n
                    • Required skills for further specialization<\/li>\n
                    • Ethical considerations in financial decision-making<\/li>\n
                    • Pathways to advanced study (quant finance, data science, etc.)<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                      Module 1: Fundamentals of Finance Introduction to financial systems and […]<\/p>\n","protected":false},"author":1,"featured_media":2739,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[64,25],"tags":[85,48,49,65,84,81,32],"class_list":["post-2921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education-course","category-investment","tag-computational-methods","tag-course","tag-derivatives","tag-finance","tag-mathematics","tag-portfolio-managament","tag-strategies"],"acf":[],"_links":{"self":[{"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/posts\/2921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/comments?post=2921"}],"version-history":[{"count":3,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/posts\/2921\/revisions"}],"predecessor-version":[{"id":2932,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/posts\/2921\/revisions\/2932"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/media\/2739"}],"wp:attachment":[{"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/media?parent=2921"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/categories?post=2921"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ifrc.vn\/index.php\/wp-json\/wp\/v2\/tags?post=2921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}