Quantitative Techniques For Financial Decisions

1. Apply quantitative methods to solve business problems.
2. Formulate and solve decision problems in quantitative terms.
3. Analyze business forecasts based on past data.
4. Compute real monetary values for investment projects.
5. Explain profitable inventory decisions.
6. Plan network activities for productive business operations.
7. Apply sampling techniques in data collection.

13 weeks, about 32 hours in total. Yours will differ.

1. Week 1Module 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making

   • Unit 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making · 2 hours

     Define quantitative techniques and their importance.. Discuss the uses of quantitative techniques in decision making.. Identify and explain the various tools of quantitative analysis..

2. Week 2Module 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making

   • Unit 2: Mathematical Tools I: Equation and Inequalities · 2 hours

     Explain linear equations and their applications.. Solve problems involving linear equations.. Understand and solve quadratic equations using factorization and the quadratic formula..

3. Week 3Module 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making

   • Unit 3: Mathematical Tools I: Simultaneous Equations, Linear Functions, and Linear Inequalities · 2 hours

     Formulate and solve simultaneous equations.. Analyze business conditions using linear functions.. Apply linear inequalities to solve business problems..

4. Week 4Module 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making

   • Unit 4: Mathematical Tools II: Introduction to Matrix Algebra · 2 hours

     Understand the basic principles of matrix algebra.. Perform matrix addition, scalar multiplication, and matrix multiplication.. Apply matrices in business decisions..

5. Week 5Module 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making

   • Unit 5: Mathematical Tools III: Applied Differential Calculus · 2 hours

     Define the derivative of a function.. Apply rules of differentiation to find derivatives.. Apply calculus in business and economic decisions, including marginal cost and revenue analysis..

6. Week 6Module 2: Statistical Tool I: Measures of Averages

   • Unit 1: Statistical Tool I: Measures of Averages · 2 hours

     Calculate and interpret measures of averages, including arithmetic mean, median, and mode.. Apply these measures in day-to-day business decisions..

7. Week 7Module 2: Statistical Tool I: Measures of Averages

   • Unit 2: Statistical Tools II: Measures of Variability or Dispersion · 2 hours

     Explain different measures of variation or deviations.. Identify the best unbiased measure of variation.. Recognize when a set of data is biased or unreliable..

8. Week 8Module 2: Statistical Tool I: Measures of Averages

   • Unit 3: Statistical Tools III: Sets and Set Operations · 2 hours

     Interpret the concept of sets and their use in mathematical operations.. Explain the theory of sets and its application in probability analysis.. Solve business-related problems using set enumerations..

9. Week 9Module 2: Statistical Tool I: Measures of Averages

   • Unit 4: Statistical Tools IV: Probability Theory and Applications · 2 hours

     Define probability and its laws.. Calculate probabilities using theoretical and empirical approaches.. Apply probabilities in making decisions involving uncertainties..

10. Week 10Module 2: Statistical Tool I: Measures of Averages

    • Unit 5: Correlation Theory · 2 hours

      Describe the computation of linear correlation coefficients.. Explain the computation of rank correlation coefficients.. Apply the concept of correlations in business decisions..

11. Week 11Module 3: Forecasting and Time-Series Analysis

    • Unit 1: Forecasting and Time-Series Analysis · 2 hours

      List the steps in forecasting activities.. Enumerate the different types of forecasting.. Apply basic forecasting techniques such as moving averages and trend lines..

    • Unit 2: Index Numbers · 2 hours

      Define index numbers and their classifications.. Apply index numbers in investment decisions.. Calculate simple and weighted aggregate price indices..

12. Week 12Module 3: Forecasting and Time-Series Analysis

    • Unit 3: Inventory Control · 2 hours

      Define inventory and explain inventory control.. Analyze costs associated with inventories.. Apply inventory control models such as EOQ and EBQ..

    • Unit 4: Decision Analysis · 2 hours

      Identify and analyze decision problems.. Analyze decisions made under conditions of certainty and uncertainty.. Make expected monetary value decisions..

13. Week 13Module 4: Arithmetic and Geometric Progression

    • Unit 5: Network Planning and Analysis · 2 hours

      Define activities and events in network planning.. Construct activity networks and precedence tables.. Explain critical path analysis..

    • Unit 1: Arithmetic and Geometric Progression · 2 hours

      Interpret arithmetic and geometric progressions.. Apply progression concepts in business and investment decisions.. Calculate terms and sums of arithmetic and geometric progressions..