Course information

Mathematical Optimisation for Business Problems Course Outline

Module 1: Optimisation: Using Models, Validating Models, Solutions, Answers

  • Introduction
  • Significance and Benefits of Models
  • Mathematical Optimisation
  • Using Modelling Systems and Software
  • Benefiting from and Extending the Simple Model
  • A Survey of Real-World Problems

Module 2: Problem to its Mathematical Formulation

  • How to Model and Formulate a Problem?
  • Variables, Indices, Sets, and Domains
  • Constraints
  • Objectives
  • Building More Sophisticated Models
  • Mixed Integer Programming
  • Interfaces: Spreadsheets and Databases
  • Creating a Production System
  • Collecting Data
  • Modelling Logic
  • Practical Solution of LP Models

Module 3: Mathematical Solution Techniques

  • Introduction
  • Linear Programming
  • Mixed Integer Linear Programming
  • Interpreting the Results
  • Duality

Module 4: Mathematical Solution Techniques

  • Unconstrained Optimisation
  • Constrained Optimisation-Foundations and Theorems
  • Reduced Gradient Methods
  • Sequential Quadratic Programming
  • Interior-Point Methods
  • Mixed Integer Nonlinear Programming
  • Global Optimisation

Module 5: Impact and Implications of Optimisation

  • Benefits of Mathematical Programming to Users
  • Implementing and Validating Solutions
  • Communicating with Management
  • Keeping a Model Alive
  • Mathematical Optimisation in Small and Medium Size Business
  • Online Optimisation by Exploiting Parallelism

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Who should attend this Mathematical Optimisation for Business Problems Course?

The Mathematical Optimisation for Business Problems Course is designed for professionals seeking to harness the power of mathematical techniques to solve complex business challenges. This course is beneficial for a diverse range of individuals, including:

  • Operations Managers
  • Supply Chain Analysts
  • Data Analysts
  • Financial Analysts
  • Marketing Managers
  • Logistics Coordinator
  • Manufacturing Engineers

Prerequisites of the Mathematical Optimisation for Business Problems Course

There are no formal prerequisites required for the Mathematical Optimisation for Business Problems Course. However, basic understanding of mathematics, including algebra and calculus, can be beneficial for the delegates.

Mathematical Optimisation for Business Problems Course Overview

Mathematical Optimisation for Business Problems is a vital course focusing on optimising complex business strategies and decision-making processes. This course delves into the core principles of optimisation, empowering professionals to solve intricate problems, enhance operational efficiency, and maximise profits.

Mastery of this subject equips individuals with the expertise needed to decipher data patterns streamline workflows, and strategies for optimal outcomes. Business Analysts, aspiring analysts, and decision-makers seeking to enhance their analytical skills should prioritise mastering Mathematical Optimisation.

This intensive 1-day training in Mathematical Optimisation for Business Problems is meticulously designed to empower delegates with actionable skills. Delegates will engage in hands-on learning experiences, exploring real-world case studies and practical applications. Through interactive sessions, they will grasp optimisation algorithms, mathematical modelling, and problem-solving techniques. By the end of the training, delegates will be able to confidently apply these skills to dissect complex business challenges and drive profitability.

Course Objectives:

  • To understand the fundamentals of Mathematical Optimisation techniques
  • To learn to formulate real-world business problems as Mathematical Optimisation models
  • To explore various optimisation algorithms and their applications in business scenarios
  • To develop proficiency in using optimisation software tools for problem-solving
  • To analyse and interpret optimisation results for strategic decision-making
  • To apply optimisation techniques to enhance operational efficiency and resource allocation
  • To collaborate with peers in solving complex business optimisation challenges

After completing this Mathematical Optimisation for Business Problems Course, delegates will gain advanced skills essential for excelling in the competitive landscape of Business Analyst Courses. Delegates will be able to confidently tackle intricate business problems, making data-driven decisions that bolster organisational success.

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What’s Included in this Mathematical Optimisation for Business Problems Course?

  • World-Class Training Sessions from Experienced Instructors
  • Mathematical Optimisation for Business Problems Certificate
  • Digital Delegate Pack

Why choose us

Our Ottawa venue

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Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Ottawa is the capital city of Canada. It is located on the bank of the Ottawa River in the east of Southern Ontario province. It has an estimated population of 885,000 people. Ottawa is the fourth largest city in the world. The name of this city comes from the Algonquin word Odawa which means “to trade”. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Parents can choose between sending their children to one of the public schools or they can sent them to a fee paying private school. Those who live in Ottawa and find that picking a secondary school is a fraught decision involving school zones and ratings. There are four main public school boards in Ottawa. One is English, one is English-Catholic, and one is French and another is French-Catholic. The Ottawa-Carleton District School Board which is the largest with 147 schools to oversee. The catholic school board has 85 schools, the Conseil des écoles catholiques du Centre-Est has 49 schools and the Conseil des écoles publiques de l'Est de l'Ontario has 37 schools. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Ottawa is one of the best educates cities in Canada as it is believed that over half of the population have graduated from college or university. Ottawa has the highest per capita concentration of engineers, scientists, and residents with PhDs in Canada. The University of Ottawa was founded in 1848 and was the first higher education institute to be established in the city.  The university is a bilingual public university. The University of Ottawa is ranked in the top 300 universities in the world, coming in at number 284 and is a top 15 university in Canada.  The university has faculties in the following areas: arts, civil law, common law, education, engineering, post graduate studies, health sciences, medicine, science, social sciences and the school of management. Ottawa also has two main public colleges Algonquin College and La Cité collégiale. There are also 2 catholic universities in the city; Dominican University College and Saint Paul University.

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Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Business Analyst Training | Mathematical Optimisation For Business Problems in Ottawa. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Business Analyst Training | Mathematical Optimisation For Business Problems in Ottawa, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Business Analyst Training | Mathematical Optimisation For Business Problems in Ottawa FAQs

Mathematical optimisation, often known as mathematical programming, is a strong data-driven technique that helps businesses solve complicated business challenges and make better use of resources and data.
In this Mathematical Optimisation for Business Problems Training course, there are no formal prerequisites.
This Mathematical Optimisation for Business Problems Training course is suitable for anyone who wants to learn about implementing mathematical optimisation to solve complex business problems.
Mathematical optimisation is used for electrical power distribution, optimising assets, planning logistics, scheduling manufacturing or production, creating the best sports schedules, etc.
Mathematical optimisation is used to solve a broad range of complex business issues. These issues may include many options and variables, and mathematical optimisation helps make quick and efficient decisions despite all that.
This course is [ ] day(s)
During this 1-Day Mathematical Optimisation for Business Problems Training course, you will learn to develop mathematical optimisation models for solving problems. You will also learn about modelling and formulating problems, building sophisticated models, mathematical solution techniques, and many more important concepts.
The training fees for Mathematical Optimisation for Business Problems certification in Ottawa starts from CAD1695
The Knowledge Academy is the Leading global training provider for Mathematical Optimisation for Business Problems.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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