<div class="xblock xblock-public_view xblock-public_view-vertical" data-graded="False" data-has-score="False" data-runtime-class="LmsRuntime" data-init="VerticalStudentView" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-runtime-version="1" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@vertical+block@44fa9a8ad8c34735953afe5e779a449d" data-block-type="vertical">
<h2 class="hd hd-2 unit-title">12.1 Maximum posterior density method</h2>
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@1f47083e2d1e42bd9ce33ca3f7353914">
<div class="xblock xblock-public_view xblock-public_view-video_xblock" data-graded="False" data-has-score="False" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@1f47083e2d1e42bd9ce33ca3f7353914" data-block-type="video_xblock">
<h3 class="hd hd-2">Video</h3>
<iframe
id="xblock-video-player-block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@1f47083e2d1e42bd9ce33ca3f7353914"
src="/courses/course-v1:ISSMGE+TC304-105+2021/xblock/block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@1f47083e2d1e42bd9ce33ca3f7353914/handler/render_player#block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@1f47083e2d1e42bd9ce33ca3f7353914"
frameborder="0"
scrolling="no"
allowfullscreen
mozallowfullscreen
webkitallowfullscreen
width="100%"
height="600px"
>
</iframe>
<ul class="wrapper-downloads-custom">
</ul>
<div id="xblock-info" class="is-hidden">
Version: 0.10.1
</div>
</div>
</div>
</div>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-graded="False" data-has-score="False" data-runtime-class="LmsRuntime" data-init="VerticalStudentView" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-runtime-version="1" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@vertical+block@d0b261cd13a44564bf1c03bae7622572" data-block-type="vertical">
<h2 class="hd hd-2 unit-title">12.2 System identification method for linear models</h2>
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@5074ca0f4d0f4d7dac8c905f8358ce09">
<div class="xblock xblock-public_view xblock-public_view-video_xblock" data-graded="False" data-has-score="False" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@5074ca0f4d0f4d7dac8c905f8358ce09" data-block-type="video_xblock">
<h3 class="hd hd-2">Video</h3>
<iframe
id="xblock-video-player-block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@5074ca0f4d0f4d7dac8c905f8358ce09"
src="/courses/course-v1:ISSMGE+TC304-105+2021/xblock/block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@5074ca0f4d0f4d7dac8c905f8358ce09/handler/render_player#block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@5074ca0f4d0f4d7dac8c905f8358ce09"
frameborder="0"
scrolling="no"
allowfullscreen
mozallowfullscreen
webkitallowfullscreen
width="100%"
height="600px"
>
</iframe>
<ul class="wrapper-downloads-custom">
</ul>
<div id="xblock-info" class="is-hidden">
Version: 0.10.1
</div>
</div>
</div>
</div>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-graded="False" data-has-score="False" data-runtime-class="LmsRuntime" data-init="VerticalStudentView" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-runtime-version="1" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@vertical+block@6f1c521274b94e849b0dde9c9abf5b41" data-block-type="vertical">
<h2 class="hd hd-2 unit-title">12.3 System identification method for nonlinear models</h2>
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@2e846217cd5b4a998666a489ff1ac322">
<div class="xblock xblock-public_view xblock-public_view-video_xblock" data-graded="False" data-has-score="False" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@2e846217cd5b4a998666a489ff1ac322" data-block-type="video_xblock">
<h3 class="hd hd-2">Video</h3>
<iframe
id="xblock-video-player-block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@2e846217cd5b4a998666a489ff1ac322"
src="/courses/course-v1:ISSMGE+TC304-105+2021/xblock/block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@2e846217cd5b4a998666a489ff1ac322/handler/render_player#block-v1:ISSMGE+TC304-105+2021+type@video_xblock+block@2e846217cd5b4a998666a489ff1ac322"
frameborder="0"
scrolling="no"
allowfullscreen
mozallowfullscreen
webkitallowfullscreen
width="100%"
height="600px"
>
</iframe>
<ul class="wrapper-downloads-custom">
</ul>
<div id="xblock-info" class="is-hidden">
Version: 0.10.1
</div>
</div>
</div>
</div>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-graded="False" data-has-score="False" data-runtime-class="LmsRuntime" data-init="VerticalStudentView" data-course-id="course-v1:ISSMGE+TC304-105+2021" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-runtime-version="1" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@vertical+block@79a214023fcd467594410d89079f44c1" data-block-type="vertical">
<h2 class="hd hd-2 unit-title">Chapter 12 Homework</h2>
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:ISSMGE+TC304-105+2021+type@html+block@11fd1ac0e4b243b38ce24d55016ff816">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlModule" data-graded="False" data-has-score="False" data-runtime-class="LmsRuntime" data-init="XBlockToXModuleShim" data-block-type="html" data-request-token="1f00bd50d97111efb1cd12f37cb8768e" data-runtime-version="1" data-usage-id="block-v1:ISSMGE+TC304-105+2021+type@html+block@11fd1ac0e4b243b38ce24d55016ff816" data-type="HTMLModule" data-course-id="course-v1:ISSMGE+TC304-105+2021">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<p class="MsoNormal">The ultimate pressure an undrained ground can support is <o:p></o:p><i style="font-size: 1em;">q = 5.14c<sub>u</sub></i></p>
<p class="MsoNormal">The prior knowledge about <i>c<sub>u</sub></i> is that it is normally distributed with a mean of 60 kPa and a standard deviation of 20 kPa. The measured value of <i>q</i> is 300 kPa. The measurement error has a mean of zero and standard deviation of 10 kPa. What is the posterior distribution of <i>c<sub>u</sub></i>? Solve it using the linear method and the nonlinear method, respectively.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p></p>
</div>
</div>
</div>
</div>