1247 Courses

Getting Started Enhance your career and earn the highest qualification available in business and management. The Doctor of Business Administration taught and awarded by the University of Central Lancashire is designed for senior managers and consultants who wish to learn and earn an advanced administration level while working full-time. DBA is a demanding research-based programme suitable for candidates pursuing higher-level business administration qualifications after an MBA. This programme provides a solid foundation in various aspects of business, including management, marketing, finance, and operations. Students can expect to gain practical insights into real-world business scenarios, enabling them to make informed decisions and solve complex problems effectively. You're learning journey will include: Lectures and guided reading. Active group work. Case studies. Videos. Reviews of current events and student presentations. You'll develop applied research skills as you evaluate industry-related problems critically. Throughout the programme, students receive support from experienced academics and industry professionals who provide guidance and feedback on their research projects. The programme is delivered through online webinars and independent study, allowing students to balance their studies with work and personal commitments. Doctor of Business Administration is awarded and delivered by the University of Central Lancashire. School of Business and Technology London partners with Chestnut Education Group to promote this Doctor of Business Administration programme.  About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Assignments and Project No examination Entry Requirements Applicants should normally have a Master's degree or equivalent and work in or have recently worked with in business administration. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Progression Upon completing the doctorate programme, learners will possess the necessary skills and knowledge to pursue various career opportunities in administration, management research, etc. One can choose from various positions upon successfully completing a DBA. Some of the most notable career paths are Professor and Postdoctoral Researcher, Market Research Analyst, Economic Analyst, etc. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Phase 1: Qualifi Level 8 Diploma in Strategic Management and Leadership Programme Structure The course is structured around eight mandatory units, encompassing various topics aligned with learning outcomes. Each unit holds a value of 20 credits. Learners can participate in lectures and workshops to familiarize themselves with the subject. Attaining a total of 160 credits by completing all units is a prerequisite for the issuance of the Diploma. Unit 800: Leadership Qualities and Practice Unit code: A/506/9126 This unit delves into the connections between leadership and management within strategic operations. It scrutinizes various leadership styles, their underlying principles, and associated concepts. The unit also investigates methods to assess and enhance team performance to achieve strategic business and operational goals. Additionally, it encompasses the interplay between strategic management and leadership, containing crucial leadership principles, theories, and their alignment with organizational strategy. Unit 701: Research Methods Unit code: Y/506/9134 The objective of this unit is to enhance the learner's knowledge and comprehension of academic practices and research methodologies. It employs a problem-based learning approach to cultivate practical proficiency in areas relevant to educational practice and research in business and management. Unit 801: Personal Leadership Development as a Strategic Manager Unit code: F/506/9127 This unit focuses on the strategic leadership skills essential for directors and senior managers to effectively guide international organizational strategic initiatives, collaborating with partners, buyers, suppliers, customers, and competitors. Unit 802: Strategy Development in Cross Border and Global Organisations Unit code: F/506/9130 This unit tackles formulating strategies for cross-border or global organizations, which encounter complexities stemming from political, religious, cultural, and social differences, as well as the management of organizations operating within specific country boundaries. Unit 803: Strategic Planning for Cross Border and Global Organisations Unit code: L/506/9132 This unit scrutinises the diverse influences and effects on cross-border or global organisations and how they contribute to the development of successful strategies and the mitigation of risks. Unit 804: Strategic Direction in Cross Border and Global Organisations Unit code: R/506/9133 This unit provides senior strategic managers with the opportunity to delve into the influences and effects of cross-border and global policy and strategy. It aims to facilitate enhancements in establishing direction, shaping the approach, and forecasting the success of cross-border or worldwide policy and procedure. Unit 805: Strategic Communication Unit code: L/506/9129 The unit aims to develop the ability to critically assess and appreciate the impact of media on international organisations. It considers stakeholders, political and pressure groups, as well as the part played by media owners. Unit 806: Culture and its Impact on Strategy Unit code: J/506/9128 This unit strives to foster a profound comprehension of the intricacies faced by internationally operating organizations and how this impacts the strategy development process. It employs well-reasoned and thoroughly researched perspectives to cultivate alternative viewpoints.   Phase 2 - Doctor of Business Administration Programme Structure Stage 1 - Taught component The Reflexive Practitioner Management, Rhetoric, Policy and Practice Research Methodologies and Design Qualitative Research Methods Quantitative Research Methods Accordion Title Stage 2 - Research component The Reflexive Practitioner     Delivery Methods The Doctor of Business Administration is awarded and delivered by the University of Central Lancashire. This doctorate from the University of Central Lancashire is offered as a block teaching and research programme. The DBA will run at the Preston Campus of the University. You'll have full access to the Library and information resources of the University throughout the DBA and may use all social, cultural and sports facilities of the University. Stage 1 - Taught component The DBA Taught Programme consists of six taught modules, each being completed through a four-day intensive workshop plus a period of private study both before and after the workshop. During Stage 1 you will develop critical and reflective skills at doctoral level, through the requirement to think conceptually, apply critical thinking, and reasoning skills and to challenge orthodoxy relating to the body of knowledge and research relating to Management and Organisation. Action learning is incorporated within the study sessions and is an important and distinctive feature of our DBA. You will work in sets or small development groups with fellow participants throughout the programme and also develop your skills as a critical and reflective learner. Stage 2 - Research component The DBA Research Programme - as part of the development process of your DBA project, you will have worked with the DBA staff to agree a suitable supervisory team, including a Director of Studies. This team will work with you throughout Stage 2 helping you to design and implement your own particular DBA project. This will normally take two years working on a part-time basis although you may choose to work at a pace that requires more time and you may therefore take up to five years. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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PARTICIPANTS WILL ENGAGE IN A TRAINING SESSION TO IMPROVE AND REFINE THEIR RÉSUMÉS. OPPORTUNITIES TO ENGAGE IN ONE-ON-ONE RÉSUMÉ BUILDING & REVIEW SESSIONS CAN BE OFFERED AS WELL. It’s time to move on—or maybe you’ve been “in transition” for too long. Either way, you need some input so that you know what others see when they look at your résumé, and what they hear when they interview you. Participants will engage in a training session to improve and refine their résumés. Opportunities to engage in one-on-one Résumé Building & Review sessions can be offered as well. Part I Data Collection and Organization – assessing work/activities and IMPACT (results) Success Story Format (Situation, Action, Results) Writing With Impact – how to tie actions to results Choosing The Right Words – transferable skills and powerful words Sales 101 – How will these skills benefit the hiring person’s organization? Part II UB4I Writing (“YOU”/ “YOUR,” not “I,” “me,” “my”) Reference list Principles of networking Cover Letter and Résumé Formats – margins, font, type size, small caps, etc. Role Play – Mock Interviews Participants will be able to: Create a complete and correct résumé, a marketing device to attract attention, generate interest, describe accomplishments, and invite contact. Discover, correct, and improve self-marketing messages, leading to a systematic assessment of specific work-related skills. Examine transferable skills and increase personal alignment with prospective organizational mission and goals. Online Format—Résumé Writing, Networking, & Interviewing Workshop 4-hour interactive virtual class. Register for this class and you will be sent ONLINE login instructions prior to the class date. After a two-day seminar, our attendees remained in their seats wanting more from Dr Atkins. His direct, yet challenging approach to presenting topics seemed to mesmerize the participants. Many very lively discussions were part of our workshop’s context. Personally, I am very interested in re-booking this type of experience every year for new leaders to undergo! Michael J. Whitlock, Director of Fay Corey Union & ConferencesSUNY Cortland

Lean Six Sigma Black Belt Certification Program 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)

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)

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.

Overview This course examines the major tools, techniques, and principles aimed at improving quality and productivity in the public sector. To provide students with practical methods for improving public organizations, this course will cover accountability systems, performance measurement, pay-for-performance reward systems, contracting out, and organizational assessment

Overview This course is specially designed to enhance generic auditing skills and to attain the necessary skills as required and implementation to be a certified Internal Auditor. It is not aimed at any particular ISO Management Standard or process.  Objective Improve their knowledge of best practices in the audit industry Validate their proficiency and skills in audit Differentiate themselves from their peers and create a unique advantage for themselves Set the precedence for continued improvement and advancement Recognise and apply the International Standards for the Professional Practice of Internal Auditing Become a more competent professional who is knowledgeable in organizational governance

Certificate in Business and Commercial Law (CBCL) Why Attend This course is designed for professionals with little or no prior legal background but who are required to make organizational decisions involving legal matters. It will provide participants with the fundamental principles of commercial law, including commercial contracts and negotiation, sale of goods, intellectual property rights and employee relations. It also covers all the legal aspects of setting up a business, running a business and closing a business Participants will gain an in-depth understanding of international commercial law with emphasis on the common law system. Participants will have the opportunity to learn and analyze key legal issues regarding contracts and the business as a whole which they are likely to encounter within their organization.  Course Methodology In this interactive training course participants will frequently work in pairs as well as in larger groups to complete exercises as well as regional and international case studies. Course Objectives By the end of the course, participants will be able to: Apply legal rules and principles to specific commercial situations through consideration of relevant case law Negotiate commercial contracts complying with commercial and legal requirements Increase profitability within their organization by selecting appropriate methods of distribution of goods Recognize and analyze how intellectual property rights affect their organization Evaluate and modify organizational employment practices complying with labor law requirements Target Audience This course is suitable for those with little or no formal training in commercial law yet would be required to understand the fundamentals of commercial law as it may directly impact their work. It will particularly benefit directors and executives who have direct responsibility for legal decisions within the organization. In-house council new to the region, and those working within a legal department, will also find this course highly beneficial. Target Competencies Drafting Contracts Contract Negotiation Understanding Commercial Terms Understanding Employment Law Implementing Organizational Employment Practices Understanding Intellectual Property Understanding corporate restructuring Understanding the effect of breach of commercial contract terms Note The Dubai Government Legal Affairs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed firm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Affairs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualifies for 4 elective CLPD points. Overview of commercial & business law Areas of commercial and business law Types of commercial contracts Commercial contracts in the civil law and common law systems Sources of English law Civil law v Common law Civil law in the GCC Formalities for a binding contract Elements required for an enforceable contract Rules for contract interpretation implied terms v express terms identifying risks and how to minimise risks Structure of a commercial contract Preliminary documents in international transactions Memorandum of Understanding/ Heads of Terms. Are they legally binding? Commercial implications Boilerplate/ miscellaneous provisions- the important but forgotten clauses- beware! Force majeure v Frustration Notices Set off No waiver Entire Agreement/ non- reliance clause Times is of the essence Assignment v Novation Governing law Common mistakes in choice of law Jurisdiction clause Exclusive v Non-exclusive Factors in deciding the jurisdiction clause International dispute resolution Litigation Importance of Alternative Dispute Resolution (ADR) Arbitration Mediations Conciliation Negotiation Remedies for breach of contract Damages Specific performance Injunctions Advantages and disadvantages of different business forms Types of business vehicles Sole trader Partnerships Limited Liability Partnerships Companies Cross Border Transactions Distributorship Agency Joint Venture Acquisitions Share purchase v Business purchase Apportioning risks and liabilities through warranties and indemnities Negotiating warranties and indemnities Corporate insolvency Tests identifying insolvency Consequence for directors who fail to react to insolvency Types of insolvency Administration Receivership Creditor Voluntary Liquidation Compulsory Liquidation Commercial Tort Tort of negligence Defamation Libel Slander Recent case law on defamation Managing risk Prevention is better than cure: Effective risk management Intellectual Property Rights management Types of Intellectual Property copyright trademark patent design rights confidential information Assignment v Granting a license The law of passing off Intellectual Property in the GCC Employment law issues in the common law systems and the GCC Types of employment contracts Grounds for dismissal Wrongful dismissal Redundancy Unfair dismissal Commercial real estate in the GCC Leasehold Freehold

Lean Six Sigma Black Belt Certification Program: Virtual 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)