The Science of Management & Techniques - Online Course
The subject of management science can seem abstract, and students sometimes have trouble perceiving the usefulness of quantitative courses in general. Part of the problem is that the examples used in books often do not seem realistic.
Unfortunately, examples must be made simple to facilitate the learning process. Larger, more complex examples reflecting actual applications would be too complex to help the student learn the modeling technique. The modeling techniques in this course are, in fact, used extensively in the business world, and their use is increasing rapidly because of information technology.
The real objective of management science is to solve the decision-making problems that confront managers by developing mathematical models of those problems
For this course, the main goal is to demonstrate solutions to various problems that managers face every single day. From maximizing profitability, minimizing transportation costs, to optimizing employee scheduling – this course will provide you with a hands-on approach to dealing with management science models and techniques.
There is no mathematical programming in this course or learning complex formulas, as we will use Microsoft Excel as an aid to solving various common business scenarios that you encounter at the workplace.
The whole idea is to make these mathematical topics seem less complex and present them in a practical way to your benefit. Each modeling technique is explained with straight forward examples followed by hands-on tutorials.
Module 1 - Course Introduction Module 2 - Breakeven Analysis Module 3 - Linear Programming Technique Module 4 - Introduction to Project Management Module 5 - Decision Making using Management Science Module 6 - Conclusion What are the requirements? What am I going to get from this course? What is the target audience? Instructor Syed Raza
Lesson 1: What Will I Learn? FREE!
Free Overview of the course
Lesson 2: Introduction to Management Science
Management science is the application of the scientific approach to solving management problems. It helps managers make better and effective decisions, and can be used in a variety of organizations to solve different problems. It encompasses a logical, consistent, and systematic approach to problem solving
Lesson 1: Management Science Breakeven Analysis
The purpose of break-even analysis is to determine the number of units of a product (i.e., the volume) to sell or produce that will equate total revenue with total cost. The point where total revenue equals total cost is called the break-even point, and at this point profit is zero.
The break-even point gives a manager a point of reference in determining how many units will be needed to ensure a profit.
Lesson 2: Breakeven Analysis Tutorial
Learn through a hands-on tutorial on conducting a Break Even analysis
Lesson 1: Linear Programming Modeling Technique
The term 'programming' does not imply computer programming; rather to a predetermined set of mathematical steps used to solve a problem. Most frequently used and popular technique in management science.
It helps managers determine solutions (i.e., make decisions) for problems that will achieve some objective in which there are restrictions, such as limited resources or a recipe or perhaps production guidelines.
Objectives of a business frequently are to maximize profit or minimize cost. Linear programming is a model that consists of linear relationships representing a firm's decision(s), given an objective and resource constraints.
The linear programming technique derives its name from the fact that the functional relationships in the mathematical model are linear, and the solution technique consists of predetermined mathematical steps—that is, a program.
Lesson 2: Maximising Diet Options
Linear Programming tutorial: Maximization example
Lesson 3: Minimizing Transportation Costs
Linear Programming tutorial: Minimizing transportations costs example
Lesson 1: Introduction to Project Management
Management is generally perceived to be concerned with the planning, organization, and control of an ongoing process or activity such as the production of a product or delivery of a service. Project management is different in that it reflects a commitment of resources and people to a typically important activity for a relatively short time frame, after which the management effort is dissolved.
Lesson 1: Decision Making using Management Science
The two categories of decision situations are:
Probabilities that can be assigned to future occurrences
Probabilities that cannot be assigned
A decision-making situation includes several components
The decisions themselves and the actual events that may occur in the future, known as states of nature.
Suppose a distribution company is considering purchasing a computer to increase the number of orders it can process and thus increase its business. If economic conditions remain good, the company will realize a large increase in profit; however, if the economy takes a downturn, the company will lose money. In this decision situation, the possible decisions are to purchase the computer and to not purchase the computer. The states of nature are good economic conditions and bad economic conditions.
Lesson 1: Conclusion
This module is a recap of what was covered in the course
- You should have an introductory knowledge of Microsoft Excel
- Over 10 lectures and 2 hours of content
- Choose to apply the right Management Science Model and Technique
- Apply linear programming to solve common business problems
- Conduct a Breakeven Analysis
- Learn to make effective decisions using Management Science techniques
- Use linear programming: Maximizing diet options example
- Use linear programming to minimize transportations costs
- This specialized course on Management Science Models and Techniques is designed for managers and students who wish to apply various Management Science Techniques to solve everyday common business problems without using complex formulas or programming. Introductory knowledge of Microsoft Excel is helpful.
- Anyone interested in enhancing existing skill set or acquiring new skill to solve common business related problems can take this course
- BBA in Finance University of Wisconsin
- MBA Concordia University
- LLB, DBL degree University Law College
- PhD Management Sciences
- MCSE (Microsoft Certified Systems Engineer)
- MCP+I (Microsoft Certified Professional + Internet)
- MCT (Microsoft Certified Trainer)
Syed graduated from University of Wisconsin in 1995 with a BBA in Finance. Subsequently, he obtained an MBA from Concordia University, LLB and DBL degrees from University Law College, and PhD in Management Sciences.
Having obtained MCSE (Microsoft Certified Systems Engineer), MCP+I (Microsoft Certified Professional + Internet), and MCT (Microsoft Certified Trainer), Syed has provided training to thousands of students.
Happy with the Course
Excellent Introductory Course
Perfect Course for me!
Great Course Design
Module 2 - Breakeven Analysis Module 3 - Linear Programming Technique Module 4 - Introduction to Project Management Module 5 - Decision Making using Management Science Module 6 - Conclusion What are the requirements? What am I going to get from this course? What is the target audience? Instructor Syed Raza
Module 3 - Linear Programming Technique Module 4 - Introduction to Project Management Module 5 - Decision Making using Management Science Module 6 - Conclusion What are the requirements? What am I going to get from this course? What is the target audience? Instructor Syed Raza
What are the requirements?
What are the requirements?