Quantitative Methods for Management
- Management Sciences
- 800 level
- 3 credit units
- 167 pages
- 15 units
This course, Quantitative Methods for Management, is a core course designed for Postgraduate Diploma students. It introduces basic mathematical tools such as number systems, fractions, exponents, ratios, and equations. The course also covers statistical investigation, data collection, presentation, measures of central tendency and dispersion, and correlation and regression analysis. The aim is to equip students with the skills to apply quantitative methods in management and decision-making.
About this course
- Difficulty
- Intermediate
- Study hours
- 208 hours
- Maths
- Intermediate
- Content
- Theoretical, problem solving
- Practical work
- No
- Assignments
- Tutor marked assignments
- Final examination
What you'll read
The real module and unit structure of MBA816, taken from the course material NOUN publishes.
One paragraph, so you can see how it reads
MBA816 · UNIT 1 NUMBER SYSTEM
Traditionally, numbers can be converted from one base to another using different methods and techniques. The most common conversion is usually from base 10 to other bases through continuous division with the base in question and expressing the remainder as the digits of the required base in some definite order.
What you should be able to do
- Understand basic mathematical tools
- Apply statistical methods to data
- Calculate measures of central tendency
- Perform correlation and regression analysis
- Solve linear and quadratic equations
What it prepares you for
- Business Analyst
- Data Analyst
- Management Consultant
- Financial Analyst
- Project Manager
- Finance
- Marketing
- Operations Management
- Economics
- Consulting
Where it gets hard
The units students slow down on, and what makes each one heavy.
- Module 2: Introduction to Equation System
Unit 3: Quadratic Equation
Solving quadratic equations by completing the square requires strong algebraic manipulation skills and understanding of perfect square trinomials.
- Module 4: Statistical Analysis
Unit 1: Analysis of Correlation
Understanding the relationship between correlation and causation requires careful consideration of confounding variables and potential biases.
A suggested way through it
13 weeks, about 52 hours in total. Yours will differ.
- Week 1Module 1: Introduction to Numbers and their Applications
Unit 1: Number System · 2 hours
Understand the concept of number systems and their applications.. Perform number conversions between different bases.. Solve problems related to even, odd, prime, square, and cubic numbers..
Unit 2: Simple Fractions · 2 hours
Define fractions and identify different types of fractions.. Perform addition, subtraction, and multiplication of fractions.. Solve application problems involving fractions..
- Week 2Module 1: Introduction to Numbers and their Applications
Unit 3: Exponents and Roots · 2 hours
Apply the laws of exponents to simplify expressions.. Perform multiplication and division of exponents.. Solve problems involving exponents and roots..
Unit 4: Ratios · 2 hours
Explain the concept of ratio and its applications.. Calculate increase and decrease in ratios.. Compare different ratios and solve related problems..
- Week 3Module 1: Introduction to Numbers and their Applications
Unit 5: Analysis of Variation · 4 hours
Explain the term variation and its types.. Solve problems involving direct, inverse, and joint variation.. Apply variation concepts to real-world scenarios..
- Week 4Module 2: Introduction to Equation System
Unit 1: Linear Equation · 4 hours
Solve linear equations involving addition and subtraction.. Solve linear equations using multiplication and division methods.. Apply linear equations to solve practical problems..
- Week 5Module 2: Introduction to Equation System
Unit 2: Simultaneous Linear Equation · 4 hours
Solve simultaneous equations by substitution.. Solve simultaneous equations by addition and subtraction.. Apply simultaneous equations to solve practical problems..
- Week 6Module 2: Introduction to Equation System
Unit 3: Quadratic Equation · 4 hours
Solve quadratic equations by factorization.. Solve quadratic equations by completing the square.. Solve quadratic equations using the quadratic formula..
- Week 7Module 2: Introduction to Equation System
Unit 4: Analysis of Progressions · 2 hours
Explain arithmetic progression and its concepts.. Compute the nth term and common difference of an arithmetic progression.. Compute the sum of an arithmetic progression..
Unit 4: Analysis of Progressions · 2 hours
Explain geometric progression and its concepts.. Apply progression concepts to solve business-related problems..
- Week 8Module 3: Statistical Investigation and Data Collection
Unit 1: Statistical Investigation and Data Collection · 4 hours
Explain descriptive and inferential statistics.. Discuss strategies for statistical inquiries.. Apply data collection methods in statistics..
- Week 9Module 3: Statistical Investigation and Data Collection
Unit 2: Data Presentation in Statistics · 2 hours
Present data in tables.. Present data using pie charts.. Present data using bar charts..
Unit 2: Data Presentation in Statistics · 2 hours
Present data in frequency tables and graphs..
- Week 10Module 3: Statistical Investigation and Data Collection
Unit 3: Measures of Central Tendency · 4 hours
Explain the concept of the mean and its calculation.. Discuss the median and its properties.. Discuss the mode and its applications..
- Week 11Module 3: Statistical Investigation and Data Collection
Unit 4: Measures of Dispersion · 4 hours
Explain the range and its calculation.. Explain variance and its properties.. Discuss standard deviation and its applications..
- Week 12Module 4: Statistical Analysis
Unit 1: Analysis of Correlation · 4 hours
Explain the basic concept of correlation.. Discuss rank correlation and its calculation.. Explain correlation coefficient and its interpretation..
- Week 13Module 4: Statistical Analysis
Unit 2: Analysis of Regression · 4 hours
Explain the concept of regression.. Estimate regression equations.. Forecast using regression equations..
Preparing for the exam
- Review number system conversions and practice base conversions from Unit 1.
- Master fraction operations and solving fractional equations from Unit 2.
- Practice applying exponent laws from Unit 3 to simplify expressions.
- Solve linear and simultaneous equations from Module 2, focusing on word problems.
- Understand data collection methods and sampling techniques from Module 3.
- Practice calculating mean, median, and mode for grouped and ungrouped data from Unit 3 of Module 3.
Questions students ask about this course
What is MBA816 about?
This course, Quantitative Methods for Management, is a core course designed for Postgraduate Diploma students. It introduces basic mathematical tools such as number systems, fractions, exponents, ratios, and equations. The course also covers statistical investigation, data collection, presentation, measures of central tendency and dispersion, and correlation and regression analysis. The aim is to equip students with the skills to apply quantitative methods in management and decision-making.
How many units does MBA816 have?
MBA816, Quantitative Methods for Management, has 15 units across 4 modules, over 167 pages of course material. You can read it one unit at a time.
How many credit units is MBA816?
MBA816 carries 3 credit units, at 800 level in Management Sciences.
Is MBA816 hard?
MBA816 is rated intermediate level, with intermediate mathematical content. It is mostly theoretical and problem solving work.
How long does MBA816 take to study?
About 208 hours of study, spread across its 15 units.
How is MBA816 assessed?
MBA816 is assessed by assignments, tutor marked assignments and final examination.
What can I do with MBA816?
Business Analyst, Data Analyst, Management Consultant, Financial Analyst and Project Manager.