53348 Courses in Devizes delivered Online

COBOL training course description A hands on training course providing an introduction to COBOL. What will you learn Write COBOL programs Debug COBOL programs Examine existing code and determine its function. COBOL training course details Who will benefit: Programmers working with COBOL. Prerequisites: None although experience in another high level language would be useful. A 10 day version of this course would be more applicable for those new to programming. Duration 5 days COBOL training course contents Introduction to COBOL Compilation, linkage editor. Compile errors, compiler options. Divisions, syntax and format, COBOL character set, program structure. COBOL statement structure COBOL words, format of statements. Divisions Identification entries, Environment entries, Data division: FD, record descriptions, hierarchy and level numbers, description-string entry. File and Working-Storage Sections Literals, figurative constants, redefines clause, data representation, Usage clause, synchronization, sign clause. Procedure Division File status codes; Open, Read, Write, Close, Stop, Goback; Accept, display; Move, Justified, data name qualification, reference modification. Perform statement Out-of-line, With test ... Until, ... Times, in-line statement; Go to statement. Program design Design techniques, design considerations, procedure names, program structure. Printing Printed output, Write, advancing option, editing characters; Initialize. Condition testing Conditional statements: IF, class, sign and relation conditions, condition-name conditionals, Set, compound conditions, logical operators. Evaluate, Continue. Arithmetic Rounded option, On Size Error option, Add, Subtract, Multiply, Divide, Compute. Non-sequential files File access modes, Select. Indexed and relative files. Open, Close, creating / reading sequential access files, Write, Read, Invalid key clause, reading, writing / updating Random access files, Rewrite, Delete, Start. Declarative routines Clauses. Subroutines Call, Using clause - calling program/called program, Linkage Section, returning control. Table handling Subscripted tables: One/two/three dimensional tables, Perform, variable length tables. Indexed tables: Set, using an index; Search. Copy code: Copy, Suppress, Replacing. Data Manipulation Inspect, String, Unstring. COBOL/370 LE/370 and Intrinsic Functions.

Learners will develop knowledge of FD&FA systems and apply this to the provision of detection and electrical actuation for gas extinguishing systems.

Historical Association webinar series: Building different types of historical knowledge Presenters: Claire Holliss This second session will consider how teachers have helped their students to develop coherent explanations of historical processes and to form judgments in response to historical questions. The session will then engage with the rich tradition of practitioner research on students’ writing at A-level, particularly focusing on how teachers have helped students engage with historical writing in order to gain a more sophisticated understanding of the discipline and to strengthen their written work.   To use your corporate webinar offer on this webinar please fill in this form: https://forms.office.com/e/9JZCQ0RUkJ

Has the Computer System Validation Engineer left and you’ve been handed their responsibilities? Do the thoughts of your next audit fill you with dread? CSV can be frustrating but this program will show you how to manage electronic data in a regulated manufacturing/laboratory/clinical environment using the GAMP framework and ensure compliance with FDA’s 21 CFR Part 11, EU Annex 11 or other regulatory guidelines.

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

This module aims to develop knowledge and understanding of the importance of customs documentation in the world of international trade to ensure both parties clearly understand the documentation that will be required in the import or export of goods or services.

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OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.

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We're passionate about equipping churches to respond to domestic abuse. Our Domestic Abuse Awareness course will help you explore key questions around the issue of domestic abuse, like how to recognise the signs of domestic abuse, why domestic abuse happens, and how to start supporting survivors.