Course Name |
Business - Maths for Business |
Course Provider |
University College Dublin |
Course Code |
MATH10030 |
Course Type |
Lifelong Learning |
Apply To |
Course provider |
Attendance Options |
Part time, Online or Distance, Blended |
Location (Districts) |
Belfield |
Enrolment and Start Dates Comment |
TRIMESTER: Autumn |
Application Date |
2022-2023 Academic Year
Pre-Registration for Autumn 2022 will be reopening in August!
Please keep in mind that Open Learning module offerings and details are subject to change and are available on a first-come-first-serve basis. Should your preferred module be at capacity, please email us at all@ucd.ie so that we can discuss your options. |
Duration |
Expand+Autumn Trimester - September to December
MODE OF DELIVERY:Blended
Student Effort Hours:
Student Effort Type Hours
Lectures 24
Tutorial 6
Autonomous Student Learning 40
Online Learning 24
Total 94
Approaches to Teaching and Learning:
Th...
Hide-Autumn Trimester - September to December
MODE OF DELIVERY:Blended
Student Effort Hours:
Student Effort Type Hours
Lectures 24
Tutorial 6
Autonomous Student Learning 40
Online Learning 24
Total 94
Approaches to Teaching and Learning:
The core content of the module will be covered in online videos.
In conversation classes, students will be encouraged to engage with problems and tasks based on material covered in the videos.
In most weeks of the trimester, students will have formative assessment (an online quiz).
Students will be encouraged to complete worksheets in their own time.
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Link to Course Fee |
Web Page - Click Here |
Eligibility |
Expand+Compulsory Modules only open to students on Commerce Progression Pathway
Requirements, Exclusions and Recommendations
Learning Requirements:
You should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.
Module Requis...
Hide-Compulsory Modules only open to students on Commerce Progression Pathway
Requirements, Exclusions and Recommendations
Learning Requirements:
You should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.
Module Requisites and Incompatibles
Incompatibles:
ECON10030 - Intro Quantitative Economics, MATH00010 - Introduction to Mathematics, MATH10120 - Linear Algebra Apps to Econ, MATH10130 - Intro to Analysis (E&F), MATH10200 - Matrix Algebra, MATH10210 - Found. of Math. for Com.Sc. I, MATH10220 - Found. of Math. for Com. Sc II, MATH10230 - Mathematics for Agriculture I , MATH10240 - Mathematics for Agriculture II, MATH10250 - Intro Calculus for Engineers , MATH10260 - Linear Algebra for Engineers, MATH10290 - Linear Algebra for Science, MATH10310 - Calculus for Science, MATH10340 - Linear Algebra 1 (MPS), MATH10350 - Calculus (MPS), MATH10390 - Linear Algebra (Online), MATH10400 - Calculus (Online), MATH20330 - Optimisation for Economics, MST00050 - Mathematics: An introduction, MST10010 - Calculus I
Additional Information:
Students should have achieved a minimum O3 in Leaving Certificate Mathematics or equivalent.
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Course Content |
Expand+MATH10030 Mathematics for Business
Academic Year 2022/2023
This mathematics module has been specifically designed with the mathematical needs of the business undergraduate in mind. Mathematics plays an important role in subject areas such as Acco...
Hide-MATH10030 Mathematics for Business
Academic Year 2022/2023
This mathematics module has been specifically designed with the mathematical needs of the business undergraduate in mind. Mathematics plays an important role in subject areas such as Accountancy, Economics, and Finance, but skills such as the ability to problem solve, interpret and analyse information pervades all of Business. This module will focus on some of the major concepts and mathematical techniques of Calculus which the business undergraduate is likely to encounter.
Learning Outcomes:
On completion of this module the student is expected to be able to:
Graph polynomial functions, and the exponential and natural logarithm functions and analyse their graphs.
Be able to use polynomials in supply/demand analysis.
Determine interest, present values and future value of shares and deposits.
Explain the concept of the derivative and differentiate products, quotients and compositions of the functions listed above.
Optimise functions of one real variable.
Find the partial derivatives of functions of several variables.
Optimise functions of two variables, with and without constraints.
Use the optimisation techniques to maximise/minimise production/costs.
Add and multiply appropriate matrices and describe the concept of identity matrix and invertible matrix and find the inverse of a 2x2 matrix where possible.
Model problems in business and apply mathematical techniques to find and interpret a solution.
Indicative Module Content:
1 - Linear and Quadratic Functions with Applications to Business
Section 1.1 - Functions
Section 1.2 - Linear Functions
Section 1.3 - Quadratic Functions
Section 1.4 - Supply and Demand Analysis
Section 1.5 - Revenue, Cost and Profit Analysis
2 - Exponential and Natural Logarithm Functions with Applications to Business
Section 2.1 - The Exponential Function
Section 2.2 - Percentages and Compound Interest
Section 2.3 - The Natural Logarithm Function
Section 2.4 - Continuously Compounded Interest
3 - Differentiation with Applications to Business
Section 3.1 - Differentiation
Section 3.2 - Marginal Analysis
Section 3.3 - Elasticity
4 - Optimisation with Applications to Business
Section 4.1 - Optimisation
Section 4.2 - Optimisation with Applications to Business
5 - Functions of Several Variables with Applications to Business
Section 5.1 - Partial Differentiation
Section 5.2 - Optimisation of Functions of Two Variables
Section 5.3 - Lagrange Multipliers
6 - Matrices
Section 6.1 - Matrix Algebra
Section 6.2 - Invertible Matrices
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Number of Credits |
5 |
Careers or Further Progression |
Open Learning is one of our most flexible pathways for entering into UCD undergraduate study. With 12 UCD undergraduate programmes, learners are able to accumulate 30 credits towards a NFQ Level 7 Certificate in Open Learning at their own pace from a variety of undergraduate modules. We have a dedicated team ready to support you in planning your unique learning journey, contact us via: all@ucd.ie. |
Course Web Page |
Web Page - Click Here |
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