Quantitative Method For Business Decisions
- Management Sciences
- 300 level
- 2 credit units
- 201 pages
- 18 units
This course, Quantitative Methods for Business Decisions, is designed to equip students with the essential tools and techniques for effective decision-making in today's complex business environment. It covers a range of topics including mathematical tools, statistical analysis, forecasting, inventory control, and investment appraisal. Students will learn how to apply these methods to planning, controlling, and evaluating business operations, enabling them to make informed and data-driven decisions.
About this course
- Difficulty
- Intermediate
- Study hours
- 156 hours
- Maths
- Intermediate
- Content
- Theoretical, practical, problem solving
- Practical work
- Yes
- Basic Mathematics
- Basic Statistics
- Assignments
- Tutor marked assignments
- Final examination
What you'll read
The real module and unit structure of ENT321, taken from the course material NOUN publishes.
- UNIT 1 USES, IMPORTANCE, AND TOOLS OF QUANTITATIVE TECHNIQUES IN DECISION MAKINGPage 7
- UNIT 2: MATHEMATICAL TOOLS I: EQUATIONS AND INEQUALITIESPage 12
- UNIT 3: MATHEMATICAL TOOLS I (CONTINUED): SIMULTANEOUS EQUATIONS, LINEAR FUNCTIONS, AND LINEAR INEQUALITIESPage 21
- UNIT 4: MAHEMATICAL TOOLS II: INTRODUCTION TO MATRIX ALGEBRAPage 30
- UNIT 5: MATHEMATICAL TOOL III: APPLIED DIFFERENTIAL CALCULUSPage 36
One paragraph, so you can see how it reads
ENT321 · UNIT 1 USES, IMPORTANCE, AND TOOLS OF QUANTITATIVE TECHNIQUES IN DECISION MAKING
Statistical Tools are complementary to mathematical tools. Statistics can be viewed as the application of scientific model in the analysis of numerical data for the purpose of drawing inferences that are useful in making rational economic decisions.
What you should be able to do
- Apply quantitative techniques to solve business problems.
- Formulate and solve decision problems in quantitative terms.
- Analyze business forecasts based on past data.
- Compute real monetary values for investment projects.
- Explain profitable inventory decisions.
- Plan network activities for productive business operations.
What it prepares you for
- Business Analyst
- Operations Manager
- Financial Analyst
- Project Manager
- Management Consultant
- Finance
- Manufacturing
- Supply Chain Management
- Project Management
- Consulting
- Spreadsheet Software (e.g., Microsoft Excel)
- Statistical Software (e.g., SPSS)
Where it gets hard
The units students slow down on, and what makes each one heavy.
- Module 1:
Unit 5: Mathematical Tools III: Applied Differential Calculus
Applied differential calculus requires a strong foundation in calculus principles and algebraic manipulation.
- Module 2:
Unit 5: Correlation Theory
Correlation theory involves understanding the relationships between multiple variables and interpreting the correlation coefficients.
- Module 3:
Unit 5: Network Planning and Analysis
Network planning and analysis requires the ability to visualize and manage complex project timelines and dependencies.
A suggested way through it
13 weeks, about 60 hours in total. Yours will differ.
- Week 1Module 1:
Unit 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making · 4 hours
Read Unit 1: Uses, Importance, and Tools of Quantitative Techniques in Decision Making.. Define quantitative techniques and their importance.. Identify the tools of quantitative analysis: mathematical and statistical tools..
- Week 2Module 1:
Unit 2: Mathematical Tools I: Equation and Inequalities · 4 hours
Study Unit 2: Mathematical Tools I: Equations and Inequalities.. Solve linear equations using algebraic operations.. Apply linear equations to solve business problems..
- Week 3Module 1:
Unit 3: Mathematical Tools I (Continued): Simultaneous Equations, Linear Functions, and Linear Inequalities · 4 hours
Study Unit 3: Mathematical Tools I: Simultaneous Equations, Linear Functions, and Linear Inequalities.. Solve simultaneous equations using the addition-subtraction method.. Apply linear functions and inequalities to analyze business conditions..
- Week 4Module 1:
Unit 4: Mathematical Tools II: Introduction to Matrix Algebra · 4 hours
Study Unit 4: Mathematical Tools II: Introduction to Matrix Algebra.. Perform matrix addition and scalar multiplication.. Apply matrix multiplication to solve business problems..
- Week 5Module 1:
Unit 5: Mathematical Tools III: Applied Differential Calculus · 4 hours
Study Unit 5: Mathematical Tools III: Applied Differential Calculus.. Apply rules of differentiation to find derivatives of functions.. Apply calculus to solve maximization and minimization problems..
- Week 6Module 2:
Unit 1: Statistical Tools I: Measures of Averages · 4 hours
Study Unit 1: Statistical Tools I: Measures of Averages.. Compute arithmetic mean, median, and mode for a given data set.. Apply measures of averages to make business decisions..
- Week 7Module 2:
Unit 2: Statistical Tools II: Measures of Variability or Dispersion · 4 hours
Study Unit 2: Statistical Tools II: Measures of Variability or Dispersion.. Calculate range, mean deviation, variance, and standard deviation.. Apply measures of dispersion to analyze data variability..
- Week 8Module 2:
Unit 3: Statistical Tools III: Sets and Set Operations · 4 hours
Study Unit 3: Statistical Tools III: Sets and Set Operations.. Perform set operations such as union and intersection.. Apply set theory to solve enumeration problems..
- Week 9Module 2:
Unit 4: Statistical Tools IV: Probability Theory and Applications · 4 hours
Study Unit 4: Statistical Tools IV: Probability Theory and Applications.. Calculate theoretical and empirical probabilities.. Apply laws of probability to solve business problems..
- Week 10Module 2:
Unit 5: Correlation Theory · 4 hours
Study Unit 5: Correlation Theory.. Compute linear, rank, and partial correlation coefficients.. Interpret correlation coefficients to determine relationships between variables..
- Week 11Module 3:
Unit 1: Forecasting and Time-Series Analysis · 4 hours
Study Unit 1: Forecasting and Time-Series Analysis.. Apply moving averages and least squares methods for forecasting.. Analyze time-series data to make future predictions..
Unit 2: Index Numbers · 4 hours
Study Unit 2: Index Numbers.. Calculate simple and weighted aggregate price indices.. Apply index numbers to analyze economic changes..
- Week 12Module 3:
Unit 3: Inventory Control · 4 hours
Study Unit 3: Inventory Control.. Apply inventory control models to minimize costs.. Calculate economic order quantity (EOQ) and economic batch quantity (EBQ)..
Unit 4: Decision Analysis · 4 hours
Study Unit 4: Decision Analysis.. Construct payoff tables and calculate expected monetary values.. Make decisions under conditions of certainty and uncertainty..
- Week 13Module 3:
Unit 5: Network Planning and Analysis · 4 hours
Study Unit 5: Network Planning and Analysis.. Construct activity networks and precedence tables.. Apply critical path analysis to project management..
Preparing for the exam
- Review all units, focusing on key formulas and concepts.
- Practice solving problems from each unit, especially those related to forecasting, inventory control, and investment appraisal.
- Create a formula sheet for quick reference during the exam.
- Allocate time to each question based on its weight and difficulty.
- Focus on understanding the underlying principles rather than memorizing formulas.
- Practice with past exam papers to get familiar with the exam format and question types.
Questions students ask about this course
What is ENT321 about?
This course, Quantitative Methods for Business Decisions, is designed to equip students with the essential tools and techniques for effective decision-making in today's complex business environment. It covers a range of topics including mathematical tools, statistical analysis, forecasting, inventory control, and investment appraisal. Students will learn how to apply these methods to planning, controlling, and evaluating business operations, enabling them to make informed and data-driven decisions.
How many units does ENT321 have?
ENT321, Quantitative Method For Business Decisions, has 18 units across 4 modules, over 201 pages of course material. You can read it one unit at a time.
How many credit units is ENT321?
ENT321 carries 2 credit units, at 300 level in Management Sciences.
Is ENT321 hard?
ENT321 is rated intermediate level, with intermediate mathematical content. It is mostly theoretical, practical and problem solving work, and it has a practical component.
How long does ENT321 take to study?
About 156 hours of study, spread across its 18 units.
How is ENT321 assessed?
ENT321 is assessed by assignments, tutor marked assignments and final examination.
What do I need before starting ENT321?
Basic Mathematics Basic Statistics
What can I do with ENT321?
Business Analyst, Operations Manager, Financial Analyst, Project Manager and Management Consultant.