COURSE OVERVIEW
HE1893 : Causal Reasoning Investigation
![Causal Reasoning Investigation](/storage/publiccourse/files/gAVe8V3Y79mP78rX0zEYD3FouDJAV1VMxm72xQUq.bmp)
OVERVIEW
COURSE TITLE | : | HE1893 : Causal Reasoning Investigation |
COURSE DATE | : | Oct 20 - Oct 24 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Attalla Ersan |
VENUE | : | Muscat, Oman |
COURSE FEE | : | $ 5500 |
Register For Course Outline |
OTHER SCHEDULED DATES
Date | : | Aug 14 - Aug 18 (5 Days) | Location | : | Dubai, UAE | Classroom Fee (US$) | : | $ 5500 | Course Info |
Course Description
This course is designed to provide participants with a detailed and up-to-date overview of Causal Reasoning Investigation. It covers the principles and methodologies used in causal investigation focusing on logic, evidence gathering and hypothesis testing; the different types of causes and the various causal models and frameworks used to structure investigations; and the steps for initiating a causal reasoning investigation, address ethical considerations in investigations and recognizing and mitigating biases in causal reasoning.
Further, the course will also discuss the data collection strategies, analyzing data for causalities and using technology in investigations; developing and prioritizing hypotheses based on available data and causal reasoning principles; the methods for testing hypotheses through experiments, simulations or further data analysis; the best practices for documenting investigative findings, analyses and the rationale behind identified causes; creating and using fishbone diagrams (Ishikawa) for identifying potential causes of a problem; and constructing and analyzing fault trees to identify root causes and contributing factors of failures or events.
During this interactive course, participants will learn the Bow-Tie analysis, comparative analysis techniques and scenario analysis; the causality in complex systems including systemic interactions and emergent behaviors; the counterfactual reasoning and its application in understanding how different actions might have changed outcomes; investigating human factors and organizational behaviors as causes in events including error analysis and cultural assessments; the legal and regulatory implications of causal findings including liability and compliance issues; using causal reasoning for predictive purposes including risk assessment and prevention strategies; designing an investigation plan that efficiently leads to identifying root causes and contributing factors; the appropriate strategies for communicating investigation findings effectively to different audiences including report writing and presentation skills; translating investigation findings into actionable corrective and preventive measures; the procedures for monitoring the effectiveness of implemented actions and conducting follow-up investigations if necessary; and developing individual and team skills in causal reasoning and investigation.
link to course overview PDF
Further, the course will also discuss the data collection strategies, analyzing data for causalities and using technology in investigations; developing and prioritizing hypotheses based on available data and causal reasoning principles; the methods for testing hypotheses through experiments, simulations or further data analysis; the best practices for documenting investigative findings, analyses and the rationale behind identified causes; creating and using fishbone diagrams (Ishikawa) for identifying potential causes of a problem; and constructing and analyzing fault trees to identify root causes and contributing factors of failures or events.
During this interactive course, participants will learn the Bow-Tie analysis, comparative analysis techniques and scenario analysis; the causality in complex systems including systemic interactions and emergent behaviors; the counterfactual reasoning and its application in understanding how different actions might have changed outcomes; investigating human factors and organizational behaviors as causes in events including error analysis and cultural assessments; the legal and regulatory implications of causal findings including liability and compliance issues; using causal reasoning for predictive purposes including risk assessment and prevention strategies; designing an investigation plan that efficiently leads to identifying root causes and contributing factors; the appropriate strategies for communicating investigation findings effectively to different audiences including report writing and presentation skills; translating investigation findings into actionable corrective and preventive measures; the procedures for monitoring the effectiveness of implemented actions and conducting follow-up investigations if necessary; and developing individual and team skills in causal reasoning and investigation.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies as a percentage of the total tuition hours
LecturesWorkshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators
In an unlikely event, the course instructor may modify the above training methodology before or during the course for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable
Certificates | : | Only soft copy certificates will be issued to participants through Haward’s Portal. This includes Wallet Card Certificates if applicable |
Training Materials | : | Only soft copy Training Materials (PDF format) will be issued to participant through the Virtual Training Platform |
Training Methodology | : | 80% of the program will be theory and 20% will be practical sessions, exercises, case studies, simulators or videos |
Training Program | : | The training will be for 4 hours per day starting at 09:30 and ending at 13:30 |
H-STK Smart Training Kit | : | Not Applicable |
Hands-on Practical Workshops | : | Not Applicable |
Site Visit | : | Not Applicable |
Simulators | : | Only software simulators will be used in the virtual courses. Hardware simulators are not applicable and will not be used in Virtual Training |
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