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<CourseUnit xmlns="http://www.manchester.ac.uk/CUICourseUnitDetails" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.manchester.ac.uk/CUICourseUnitDetails.xsd">
  <UnitCode Applicant="Y" Label="Unit code" Student="Y">
    <Code>DENT70002</Code>
  </UnitCode>
  <UnitTitle Applicant="Y" Label="Unit title" Student="Y">
    <Title>Biostatistics</Title>
  </UnitTitle>
  <MaxUnits Applicant="Y" Label="Credit rating" Student="Y">
    <Units>15</Units>
  </MaxUnits>
  <TeachingPeriods Applicant="Y" Label="Teaching period(s)" Student="Y">
    <Period>Semester 2</Period>
  </TeachingPeriods>
  <AcademicCareer Applicant="Y" Label="Academic career" Student="Y">
    <Value>Postgraduate Taught</Value>
  </AcademicCareer>
  <UnitLevel Applicant="Y" Label="Unit level" Student="Y">
    <Level>Level 6</Level>
  </UnitLevel>
  <StaffList Applicant="Y" Label="Teaching staff" RoleLabel="Course Unit Role" Student="Y">
    <StaffMember>
      <Name>Tanya Walsh</Name>
      <Role>Unit coordinator</Role>
    </StaffMember>
  </StaffList>
  <OfferedBy Applicant="Y" Label="Offered by" Student="Y">
    <OrganisationList>
      <Organisation>
        <OrgName>School of Medical Sciences</OrgName>
      </Organisation>
    </OrganisationList>
    <GroupList>
      <Group>
        <GroupName></GroupName>
      </Group>
    </GroupList>
    <FheqLevels>
      <FheqLevel>
        <LevelNumber>1</LevelNumber>
        <LevelName>FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' </LevelName>
      </FheqLevel>
    </FheqLevels>
    <Ects>
      <MaxUnits>European Credit Transfer &amp; Accumulation System Rating :   7.5</MaxUnits>
    </Ects>
  </OfferedBy>
  <MarketingOverview Applicant="Y" Label="Marketing Course unit overview" Student="">
    <Content>&lt;p&gt;The overarching aim of DENT70002 is to introduce students to the fundamentals of study&lt;br&gt;design, statistical analysis and the interpretation and reporting of results. This course will&lt;br&gt;provide you with a valuable foundation for critically appraising the scientific literature&lt;br&gt;relating to your clinical specialty. The course material comprises ten topics, delivered online&lt;br&gt;over ten weeks and supplemented by three in person lectures. The mandatory in person&lt;br&gt;lectures provide students with the opportunity to put into practice the concepts covered in&lt;br&gt;the online materials, and engage in discussion.&lt;br&gt;On completion of DENT70002 students will be able to: appropriately describe and present&lt;br&gt;numerical data; understand the principles of sampling, estimation, hypothesis testing and&lt;br&gt;confidence intervals; and carry out and interpret the results of statistical analyses using a&lt;br&gt;statistical software package.&lt;br&gt;&amp;nbsp;&lt;/p&gt;</Content>
  </MarketingOverview>
  <UnitOverview Applicant="" Label="Course unit overview" Student="Y">
    <Content>&lt;p&gt;The overarching aim of DENT70002 is to introduce students to the fundamentals of study&lt;br&gt;design, statistical analysis and the interpretation and reporting of results. This course will&lt;br&gt;provide students with a valuable foundation for critically appraising the scientific literature&lt;br&gt;relating to your clinical specialty. The course material comprises ten topics, delivered online&lt;br&gt;over ten weeks and supplemented by three in person lectures. The mandatory in person&lt;br&gt;lectures provide students with the opportunity to put into practice the concepts covered in&lt;br&gt;the online materials, and engage in discussion.&lt;br&gt;On completion of DENT70002 students will be able to: appropriately describe and present&lt;br&gt;numerical data; understand the principles of sampling, estimation, hypothesis testing and&lt;br&gt;confidence intervals; and carry out and interpret the results of statistical analyses using a&lt;br&gt;statistical software package.&lt;br&gt;&amp;nbsp;&lt;/p&gt;</Content>
  </UnitOverview>
  <Aims Applicant="Y" Label="Aims" Student="Y">
    <Content>&lt;p&gt;The overarching aim of DENT70002 is to introduce students to the fundamentals of study&lt;br&gt;design, statistical analysis and the interpretation and reporting of results. The course unit&lt;br&gt;will equip students with the skills to confidently appraise the literature in terms of statistical&lt;br&gt;approach and reporting, and to incorporate robust research evidence into evidence-based&lt;br&gt;practice.&lt;/p&gt;</Content>
  </Aims>
  <LearningOutcomes Applicant="Y" Label="Learning outcomes" Student="Y">
    <Content></Content>
  </LearningOutcomes>
  <Knowledge Applicant="Y" Label="Knowledge and understanding" Student="Y">
    <Content>&lt;p&gt;Students should/will be able to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Identify different types of data and carry out mathematical calculations&lt;/li&gt;&lt;li&gt;Understand basic statistical concepts necessary for the development of a study protocol&lt;/li&gt;&lt;li&gt;Carry out basic statistical techniques&lt;/li&gt;&lt;li&gt;Understand the key methodological and statistical issues to consider when critically appraising published research&lt;/li&gt;&lt;/ul&gt;</Content>
  </Knowledge>
  <IntellectualSkills Applicant="Y" Label="Intellectual skills" Student="Y">
    <Content>&lt;p&gt;Students should/will be able to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Discuss the role of statistics in clinical research&lt;/li&gt;&lt;li&gt;Explore the development of a research idea from hypothesis through to interpretation and conclusion&lt;/li&gt;&lt;li&gt;Make a judgement on the credibility of methodology and statistical analysis of research articles with respect to implications for clinical practice/future research&lt;/li&gt;&lt;li&gt;Discuss issues regarding the implementation of research findings&lt;/li&gt;&lt;/ul&gt;</Content>
  </IntellectualSkills>
  <PracticalSkills Applicant="Y" Label="Practical skills" Student="Y">
    <Content>&lt;p&gt;Students should/will be able to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Carry out statistical analysis by hand and using a statistical software package&lt;/li&gt;&lt;li&gt;Generate information to a standard suitable for publication&lt;/li&gt;&lt;li&gt;Discuss statistical techniques covered in the course with statisticians and specialist and non-specialist colleagues alike&lt;/li&gt;&lt;/ul&gt;</Content>
  </PracticalSkills>
  <TransferableSkills Applicant="Y" Label="Transferable skills and personal qualities" Student="Y">
    <Content>&lt;p&gt;Students should/will be able to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Manage workload; use initiative when seeking information&lt;/li&gt;&lt;li&gt;Use information technology and appropriate related software to a high standard&lt;/li&gt;&lt;li&gt;Apply research related skills to professional practice&lt;/li&gt;&lt;/ul&gt;</Content>
  </TransferableSkills>
  <EmployabilitySkillsList Applicant="Y" Label="Employability skills" Student="Y">
    <Skill>
      <SkillId></SkillId>
      <SkillDescription></SkillDescription>
    </Skill>
  </EmployabilitySkillsList>
  <Syllabus Applicant="Y" Label="Syllabus" Student="Y">
    <Content></Content>
  </Syllabus>
  <TeachingMethods Applicant="Y" Label="Teaching and learning methods" Student="Y">
    <Content>&lt;p&gt; The course will be delivered predominantly through e-learning over a period of 12-weeks, with three timetabled face-to-face symposiums. A variety of online material will be utilised including web-based reading, online discussions, tutor feedback, interactive exercises and self-assessment.&lt;/p&gt; &lt;p&gt; The face-to-face symposiums will be a mix of tutor presentations, group work and student presentations.&lt;/p&gt; &lt;p&gt; Self-directed learning will allow reflection of material in the context of research and broaden understanding as well as knowledge.&lt;/p&gt;</Content>
  </TeachingMethods>
  <AssessmentMethods Applicant="Y" Label="Assessment methods" Student="Y">
    <IntroText> </IntroText>
    <Method>
      <MethodId>2</MethodId>
      <MethodName>Written assignment (inc essay)</MethodName>
      <MethodWeight>100%</MethodWeight>
    </Method>
  </AssessmentMethods>
  <FeedbackMethods Applicant="Y" Label="Feedback methods" Student="Y">
    <Content>&lt;p&gt;Feedback given within the required timeframes, through submitted assignments.&lt;/p&gt;</Content>
  </FeedbackMethods>
  <RequirementsList Applicant="Y" Label="Pre/co-requisites" Student="Y">
    <Requirement>
      <UnitCode></UnitCode>
      <UnitTitle></UnitTitle>
      <RequirementType></RequirementType>
      <Description></Description>
    </Requirement>
    <AdditionalRequirement></AdditionalRequirement>
  </RequirementsList>
  <AcademicPrograms Applicant="Y" Label="Academic programmes" Student="Y">
    <AcademicProgram>
      <Program></Program>
      <Plan></Plan>
      <Level></Level>
      <Requirement></Requirement>
    </AcademicProgram>
  </AcademicPrograms>
  <FreeChoice Applicant="Y" Label="Available as a free choice unit?" Student="Y">
    <Content>N</Content>
  </FreeChoice>
  <Accreditation Applicant="Y" Label="Accreditation" Student="Y">
    <Content></Content>
  </Accreditation>
  <RecommendedReading Applicant="Y" Label="Recommended reading" Student="Y">
    <Content></Content>
  </RecommendedReading>
  <StudyHours Applicant="Y" Label="Study hours" Student="Y">
    <IntroText> </IntroText>
    <ScheduledHours Applicant="Y" Label="Scheduled activity hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </ScheduledHours>
    <PlacementHours Applicant="Y" Label="Placement hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </PlacementHours>
    <TotalHours Applicant="Y" Label="Independent study hours" Student="Y">
      <Hours>150</Hours>
    </TotalHours>
  </StudyHours>
  <Notes Applicant="Y" Label="Additional notes" Student="Y">
    <Content></Content>
  </Notes>
</CourseUnit>
