Course exercise will see you acting in the

 Course Description/OverviewRisk Analysis in the Food Chain introduces you to the principles and practices of ensuring the safety of food across the entire breadth of the industry, including its importance to producers, manufacturers, distributors and retailers. You will explore the key components of risk analysis: risk assessment, risk management and risk communication, all building to a well-developed sense of how to identify and manage food-related risks. In order to properly appreciate the application of these tools, one key exercise will see you acting in the role of a national food control authority, investigate a real case of food risk and develop an appropriate management strategy.As a result of completing this course, you will obtain a detailed understanding of Risk Analysis as it pertains to the food chain, and with a set of pragmatic tools that will allow you to apply these principles to your own practice. Risk analysis is a vital and vibrant discipline within the modern agrifood sector, and would, therefore, be of use to professionals from across the industry. Course Learning Objectives1. Develop a basic understanding of risk assessment and its role within the risk management process in food chain. 2. Differentiate between risk assessment and risk management.3. Develop a basic understanding of how to conduct and evaluate an uncertainty analysis for a risk assessment.Course Content Learning OutcomesStudents will be able to1. Describe the key elements of risk analysis2. Explain how risk analysis is applied in different parts of the food chain3. Undertake risk assessment activities, identify appropriate risk management options and develop suitable risk communication strategies Course Resources:1. Course Website(s)2. Required Course Texts and Materials3. Hands-out prepared by the instructor for the class Course Website(s) Required Course Texts and Materials1. https://www.kcl.ac.uk/study/postgraduate/taught-courses/risk-analysis-ma-msc.aspx2. https://www.aftp.co.uk/course/risk-analysis-food-chain3. Food Safety Risk Analysis – Part I – An Overview and Framework Manual – ProvisionalEditionwww.google.com.eg/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwiu74Xit47YAhXpK8AKHRW9CpcQFggxMAE&url=http Optional Course Texts and Materials Assignments and Grading SchemeGrading System 0 to 10 (where 5 is the least pass mark)     Grading Policy Grades can be based on the following: Assignments40Exams20Class attendance/participation20Practical exam20Total Points100% Course Policies Late Assignments     It is essential that papers and other assignments be completed and submitted on time. Once the due date is past, without notice and justification, the submission is not accepted.Classroom Protocol      This is a seminar type of course, which means that students are expected to come to all classes. You cannot pass the class under any circumstances if you miss more than three classes. Students are expected to arrive on time and stay until the class period ends. If you know that you have to leave early, you should notify me before class starts. You are expected to treat faculty and other students with respect. During class students are obliged to not disrupt class by making noise and/or leaving and re-entering during class. Students who violate these minimal expectations will be asked to leave and counted as absent. You are expected to have read and thought about the assigned material before you come to class. I expect active class participation, which counts for 20% of the grade. Disability Students who have disabilities should have a confidential appointment to discuss their need for accommodations. Establishing reasonable accommodations should be considered on a case-by-case basis.             Important Dates to Remember Course Schedule weekdateTopics, Reading, Assignments and Deadline (details on assignments and more bibliography are available in the course modules) 1-2 Risk Management3-4 Risk Communication5-6 Strategies for risk communication7-8 Principals for risk communication9-10 Principles for risk analysis11-12 • National Food Safety Control – Risk Analysis by Governments13 Risk Assessment and the Role of Science14 Chemical vs Microbial Risk Analysis Methodology15 The Role of Risk Analysis in the Food Industry                   The CCSAFS Course Modules TemplateCourse Risk Analysis in the Food Chain  ?Module 1Introduction to Risk Analysis in Health and Food SafetyKey ConceptsDefinition, theories, practices and conceptsOverviewThe module focuses on the principles, concepts, guidelines and regulations governing risk analysis in H&FS, on the key steps and methods of qualitative risk assessment, and on the basic principles of quantitative risk assessment (QRA). The interactive teaching approach aims to develop the students’ ability to apply the concepts and principles covered to real world problem situations, while being consistent with published guidelines and regulations governing risk analysis in H module will provide students with knowledge and understanding of key principles of risk analysis in health and food safety (H) and its main applications. Candidates will learn the main steps of the risk assessment process, and gain the skills required to conduct qualitative risk assessments and to correctly identify data and key stochastic processes to use while performing quantitative risk assessmentsLearning OutcomesBy the end of this module, students should be able to: • student knowledge and understanding of: o The key principles of risk analysis in H; the main international legal frameworks, guidelines and regulations governing risk analysis in H; and the importance of risk communication and risk management in risk analysis; o The key steps and methods used in qualitative risk assessment in H; the main steps of QRAs in H The common types of information used and potential sources of data for risk assessments in H; the factors influencing the quality of data for use in risk assessment in H Basic risk assessment modelling principles; stochastic processes most commonly used in QRAs in H; and the relationship between stochastic processes and H data• Identify situations involving H in which risk analysis is useful; identify the most appropriate risk assessment strategy (qualitative vs. quantitative) for specific situations and risk questions in H Critically review qualitative risk assessments in H Design and conduct qualitative risk assessments in H that are appropriate and relevant• Design simple QRA models in H; correctly identify H data and stochastic processes to use in QRAs; effectively identify simple risk assessment modelling methods to address quantitative risk questions and implement them in a risk assessment modelling software• Communicate effectively during the risk assessment process; present qualitative risk assessments to technical and non?technical audiences; and interpret results of qualitative risk assessments to provide coherent and logical arguments in support of decision?makingUnitsIntroduction Risk Management  Understanding risk managementThe risk management process ..ReadingsFAO/WHO. 1999. The application of risk communication to food standards and safety matters. Report of a Joint FAO/WHO Expert Consultation in Rome, Italy, 2–6 February 1998. FAO Food and Nutrition Paper No. 70 (available at: http://www.fao.org/DOCREP/005/X1271E/X1271E00.htm#TOC). Fischoff, B. 1995. Risk perception and communication unplugged: twenty years of process. Risk Analysis, 15: 137-145. Harvard Center for Risk Analysis. Risk in Perspective. June 2003. Volume 11, Issue 2 (available at: http://www.hcra.harvard.edu/pdf/June2003.pdf).Activity Each week there will be a quiz at the beginning of class. Material on quizzes will be from required readings for that week.Active listening and participation are very important to engaging with the course, the intellectual content, and the classroom community.Each student will be responsible for serving as a class discussion leader twice during the quarter. Assignment of class leader responsibilities will occur during the first class session. Discussion leadership will entail two parts, 1) A brief opening oral presentation (including a set of between 4 and 7 slides) highlighting the most important two or three points of the chapters/articles under consideration. Please note that all readings in a particular session are thematically related so the opening oral presentation should seek to succinctly synthesize some of the material. Creativity in presenting/augmenting the material is encouraged. 2) Development of two or three questions intended to stimulate class discussion after the brief opening oral presentationModule 2Advanced Quantitative Risk AssessmentKey ConceptsDefinition, theories, practices and conceptsOverviewThis module enables students to develop an in?depth knowledge and understanding of advanced quantitative risk assessment (QRA) methods used in health and food safety (H) through a combination of theoretical and practical activities including real?world examples and critical review of published QRAs,. Both practical aspects on how to implement QRAs and advanced risk assessment modelling methods will be covered.AimThe aim of this module is to provide students with knowledge and understanding of advanced QRA methods. Students will gain the skills required for conducting scientifically robust QRAs that also satisfy international QRA standards.Learning OutcomesBy the end of this module, students should be able to: • Demonstrate knowledge and understanding of: o Stochastic processes used in QRAs in H; o Specialised food safety modelling methods; o Methods for fitting distributions to data and expert opinion; o Methods to perform sensitivity analysis; o Methods used to model uncertainty; o Methods for model verification and validation; o Good risk assessment modelling practices and common modelling mistakes to avoid; o The importance of documenting QRA models and the communication of QRA results to scientific audiences and risk managers; • Correctly identify the modelling methods and data to be used in QRAs; summarise and synthesise information from a wide range of current and relevant sources to be used as inputs in a QRA; Effectively design and implement QRA models of moderate complexity in H; apply and integrate the risk assessment modelling methods into real world H situations following the main steps of QRAs in H; • Critically review QRAs in H; • Interpret results of QRAs to provide coherent and logical arguments in support of decision? making.UnitsRisk AssessmentIntroduction to this chapter Understanding risk assessmentThe food safety risk assessment processChemical and microbial risk Techniques used in food safety risk assessment Characteristics of a good risk assessment ReadingsJoint Institute for Food Safety and Applied Nutrition. Food safety risk communication resources. A joint project between the University of Maryland and the United States Food and Drug Administration (available at: http://www.foodriskclearinghouse.umd.edu/risk_comm_foodsafety.cfm). Sandman, P.M. 1994. Risk communication. In: Encyclopaedia of the Environment, Eblen, R.A. , W.R. (eds.). 1994. Boston, MA: Houghton Mifflin, pp. 620-623. University of Maryland. Food safety risk communication primer.Activity Participants will be assessed by formative in?course assessment and summative unseen examination (open book exam) on the last day of the 3?week module. 3 During directed learning sessions, students are encouraged to work together with classmates, and talk to the instructor about their work and issues. We are convinced it is very beneficial to share and discuss ideas. However, students must work independently during exams.Module 3Practical Module  Key ConceptsDefinition, theories, practices and conceptsOverviewThis module enables students to further develop and deepen their knowledge and understanding of risk analysis in health and food safety (H) and develop practical skills to build quantitative risk assessment (QRA) models. The module focuses on practical activities and hands?on learning: students are guided through the main steps of a QRA and have to apply the concepts and methods previously taught to a selected topic of their choice to produce a QRA model and accompanying concise report. Regular online support ensures students get regular constructive feedback and guidance on their progression through the risk assessment process. The module also provides many opportunities for inter?learner discussions and collaborative learning.AimThe aim of this module is to further develop the students’ knowledge and understanding of risk assessment modelling methods and provide students with the practical skills to conduct and present QRA in H&FS that satisfy international standards.Learning OutcomesBy the end of this module, students should be able to: • Frame risk analysis problems in H&FS; demonstrate and apply in?depth knowledge and understanding of the main steps and methods for conducting and presenting QRA in H&FS; • Apply and integrate the previously learnt risk assessment modelling methods to real world H&FS situations; design appropriate and scientifically robust QRA models of moderate to advanced complexity, and correctly and effectively implement them in a risk assessment modellingsoftware; • Apply and integrate good modelling practices relevant to QRA in H&FS and avoid common mistakes in QRA; correctly identify the data and modelling methods to address quantitative risk questions; • Identify data gaps and model assumptions and critically assess their impact on the results of a QRA; • Communicate effectively the model design, summariseand interpret results of QRA models, and communicate the conclusions to scientific audiences and risk managers; interpret results of QRA to provide coherent and logical arguments in the support of decision?making.UnitsThe Practical Module will be based upon work?based directed tasks following the main steps and methods taught in Modules 1 and 2, and self?directed and independent study. In addition, weekly online seminars, discussion forums and asynchronous discussion boards will facilitate collaborative learning and allow students to discuss their work and risk assessment modelling methods with the teachers as well as with their peers.ReadingsStudents should be familiar with the content of at least one of the following: Therivel et al. (1992). Strategic Environmental Assessment. Earthscan. Gilg, A.W. (1996). Countryside Planning. Routledge. HMSO (1994). Sustainable Development: The UK Strategy. Harris, J. (2001). A Survey of Sustainable Development: Social and Economic Dimensions.  OECD (2001). OECD Environmental Indicators: Towards Sustainable Development. OECDActivity Participants will be assessed formatively by in?course assessment. The module mark will be based on the report (50%) and QRA model (50%) submitted upon completion of Module 3. During online seminars, discussion forums and on the discussion board, students are encouraged to discuss their work and issues together with classmates, talk to the course instructors and their tutors. We believe it is very beneficial to share and discuss ideas. However, students have to develop their QRA model on their own and may not present other people’s work as their own.  8