PE6001 Analysis and Interpretation of Experimental Data with Mathematical and Statistical Tools
Cork , Ireland
Tuition Fee
EUR 625
Per course
Start Date
Medium of studying
Fully Online
Duration
Details
Program Details
Degree
Masters
Major
Applied Statistics | Mathematical (Theoretical) Statistics | Statistics
Area of study
Mathematics and Statistics
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 625
About Program
Program Overview
Methods of Data Analysis in Process and Product Development PE6001
Course Fact File
- Code: PE6001
- Duration: On-line
- Teaching Mode: Part-Time
- Qualifications: CPD Module
- NFQ Level: Level 9
- Fees: €625.00
- Closing Date: N/A
- Venue: On-line
- Credits: 5
- Start Date: TBC
Outline
Module Objective
To provide basic skills in proper planning of experiments and handling of quantitative data produced.
Module Content
- Expressing relationships between factors and response (i.e., causes and effect, or input and output variables) with mathematical models as seen in the MS-Excel environment.
- Expressing sets of experimental data with mathematical models (model fitting by least squares regression).
- Quantifying and analysing the importance of factors and interactions between factors in the behaviour (response) of a system (Pareto analysis and ANOVA).
- Effective planning of experiments to establish the relative importance and influence of various factors and choices on the response.
- Finding points of optimum with response surface analysis: best combinations of settings of the most influential factors that provide an optimum response as inferred by a response surface model based on experimental data.
- Handling variability in a system: improving performance and consistency with the Taguchi method.
Learning Outcomes
On successful completion of this module, students should be able to:
- Be able to plan experiments to determine which factors (parameters, variables) are more influential on their particular system of interest.
- Quantify the significance of the various factors and interactions.
- Identify points of optimum.
- Analyse and account for natural variability.
Additional Teaching Mode Information
- Teaching Method(s): 6 x 1hr(s) Lectures; 6 x 2hr(s) Practicals (computer and guest speaker).
Requirements
- Candidates must be holders of an honours BSc degree, or equivalent qualification, in a discipline with a significant element Food or Agricultural Science, with a minimum of second class honours Grade 2 or equivalent.
- Candidates should be concurrently registered (or intending to register) for a Research Degree programme (e.g. MRes, MSc. or PhD.).
Fees and Costs
€625.00
How To Apply
- To apply for this module please log on to the UCC APPLY page and create an account.
- Gather any additional documents required (including a passport-style photo), copy of your degree parchment if not a previous UCC graduate.
- An application fee of €35 will be payable on submission of your application via the same platform.
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