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teaching-statement.html
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<title>Teaching Statement – Sean I Young, PhD</title>
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function clone_and_extend_objs(a){for(var b={},c=0,e=arguments.length;c<e;++c){var h=arguments[c],d;for(d in h)h.hasOwnProperty(d)&&(b[d]=h[d])}return b}
function Page(a){if(a){this.shown=this.loaded=!1;this.page=a;this.num=get_page_number(a);this.original_height=a.clientHeight;this.original_width=a.clientWidth;var b=a.getElementsByClassName(CSS_CLASS_NAMES.page_content_box)[0];b&&(this.content_box=b,this.original_scale=this.cur_scale=this.original_height/b.clientHeight,this.page_data=JSON.parse(a.getElementsByClassName(CSS_CLASS_NAMES.page_data)[0].getAttribute("data-data")),this.ctm=this.page_data.ctm,this.ictm=invert(this.ctm),this.loaded=!0)}}
Page.prototype={hide:function(){this.loaded&&this.shown&&(this.content_box.classList.remove("opened"),this.shown=!1)},show:function(){this.loaded&&!this.shown&&(this.content_box.classList.add("opened"),this.shown=!0)},rescale:function(a){this.cur_scale=0===a?this.original_scale:a;this.loaded&&(a=this.content_box.style,a.msTransform=a.webkitTransform=a.transform="scale("+this.cur_scale.toFixed(3)+")");a=this.page.style;a.height=this.original_height*this.cur_scale+"px";a.width=this.original_width*this.cur_scale+
"px"},view_position:function(){var a=this.page,b=a.parentNode;return[b.scrollLeft-a.offsetLeft-a.clientLeft,b.scrollTop-a.offsetTop-a.clientTop]},height:function(){return this.page.clientHeight},width:function(){return this.page.clientWidth}};function Viewer(a){this.config=clone_and_extend_objs(DEFAULT_CONFIG,0<arguments.length?a:{});this.pages_loading=[];this.init_before_loading_content();var b=this;document.addEventListener("DOMContentLoaded",function(){b.init_after_loading_content()},!1)}
Viewer.prototype={scale:1,cur_page_idx:0,first_page_idx:0,init_before_loading_content:function(){this.pre_hide_pages()},initialize_radio_button:function(){for(var a=document.getElementsByClassName(CSS_CLASS_NAMES.input_radio),b=0;b<a.length;b++)a[b].addEventListener("click",function(){this.classList.toggle("checked")})},init_after_loading_content:function(){this.sidebar=document.getElementById(this.config.sidebar_id);this.outline=document.getElementById(this.config.outline_id);this.container=document.getElementById(this.config.container_id);
this.loading_indicator=document.getElementsByClassName(this.config.loading_indicator_cls)[0];for(var a=!0,b=this.outline.childNodes,c=0,e=b.length;c<e;++c)if("ul"===b[c].nodeName.toLowerCase()){a=!1;break}a||this.sidebar.classList.add("opened");this.find_pages();if(0!=this.pages.length){disable_dragstart(document.getElementsByClassName(CSS_CLASS_NAMES.background_image));this.config.key_handler&&this.register_key_handler();var h=this;this.config.hashchange_handler&&window.addEventListener("hashchange",
function(a){h.navigate_to_dest(document.location.hash.substring(1))},!1);this.config.view_history_handler&&window.addEventListener("popstate",function(a){a.state&&h.navigate_to_dest(a.state)},!1);this.container.addEventListener("scroll",function(){h.update_page_idx();h.schedule_render(!0)},!1);[this.container,this.outline].forEach(function(a){a.addEventListener("click",h.link_handler.bind(h),!1)});this.initialize_radio_button();this.render()}},find_pages:function(){for(var a=[],b={},c=this.container.childNodes,
e=0,h=c.length;e<h;++e){var d=c[e];d.nodeType===Node.ELEMENT_NODE&&d.classList.contains(CSS_CLASS_NAMES.page_frame)&&(d=new Page(d),a.push(d),b[d.num]=a.length-1)}this.pages=a;this.page_map=b},load_page:function(a,b,c){var e=this.pages;if(!(a>=e.length||(e=e[a],e.loaded||this.pages_loading[a]))){var e=e.page,h=e.getAttribute("data-page-url");if(h){this.pages_loading[a]=!0;var d=e.getElementsByClassName(this.config.loading_indicator_cls)[0];"undefined"===typeof d&&(d=this.loading_indicator.cloneNode(!0),
d.classList.add("active"),e.appendChild(d));var f=this,g=new XMLHttpRequest;g.open("GET",h,!0);g.onload=function(){if(200===g.status||0===g.status){var b=document.createElement("div");b.innerHTML=g.responseText;for(var d=null,b=b.childNodes,e=0,h=b.length;e<h;++e){var p=b[e];if(p.nodeType===Node.ELEMENT_NODE&&p.classList.contains(CSS_CLASS_NAMES.page_frame)){d=p;break}}b=f.pages[a];f.container.replaceChild(d,b.page);b=new Page(d);f.pages[a]=b;b.hide();b.rescale(f.scale);disable_dragstart(d.getElementsByClassName(CSS_CLASS_NAMES.background_image));
f.schedule_render(!1);c&&c(b)}delete f.pages_loading[a]};g.send(null)}void 0===b&&(b=this.config.preload_pages);0<--b&&(f=this,setTimeout(function(){f.load_page(a+1,b)},0))}},pre_hide_pages:function(){var a="@media screen{."+CSS_CLASS_NAMES.page_content_box+"{display:none;}}",b=document.createElement("style");b.styleSheet?b.styleSheet.cssText=a:b.appendChild(document.createTextNode(a));document.head.appendChild(b)},render:function(){for(var a=this.container,b=a.scrollTop,c=a.clientHeight,a=b-c,b=
b+c+c,c=this.pages,e=0,h=c.length;e<h;++e){var d=c[e],f=d.page,g=f.offsetTop+f.clientTop,f=g+f.clientHeight;g<=b&&f>=a?d.loaded?d.show():this.load_page(e):d.hide()}},update_page_idx:function(){var a=this.pages,b=a.length;if(!(2>b)){for(var c=this.container,e=c.scrollTop,c=e+c.clientHeight,h=-1,d=b,f=d-h;1<f;){var g=h+Math.floor(f/2),f=a[g].page;f.offsetTop+f.clientTop+f.clientHeight>=e?d=g:h=g;f=d-h}this.first_page_idx=d;for(var g=h=this.cur_page_idx,k=0;d<b;++d){var f=a[d].page,l=f.offsetTop+f.clientTop,
f=f.clientHeight;if(l>c)break;f=(Math.min(c,l+f)-Math.max(e,l))/f;if(d===h&&Math.abs(f-1)<=EPS){g=h;break}f>k&&(k=f,g=d)}this.cur_page_idx=g}},schedule_render:function(a){if(void 0!==this.render_timer){if(!a)return;clearTimeout(this.render_timer)}var b=this;this.render_timer=setTimeout(function(){delete b.render_timer;b.render()},this.config.render_timeout)},register_key_handler:function(){var a=this;window.addEventListener("DOMMouseScroll",function(b){if(b.ctrlKey){b.preventDefault();var c=a.container,
e=c.getBoundingClientRect(),c=[b.clientX-e.left-c.clientLeft,b.clientY-e.top-c.clientTop];a.rescale(Math.pow(a.config.scale_step,b.detail),!0,c)}},!1);window.addEventListener("keydown",function(b){var c=!1,e=b.ctrlKey||b.metaKey,h=b.altKey;switch(b.keyCode){case 61:case 107:case 187:e&&(a.rescale(1/a.config.scale_step,!0),c=!0);break;case 173:case 109:case 189:e&&(a.rescale(a.config.scale_step,!0),c=!0);break;case 48:e&&(a.rescale(0,!1),c=!0);break;case 33:h?a.scroll_to(a.cur_page_idx-1):a.container.scrollTop-=
a.container.clientHeight;c=!0;break;case 34:h?a.scroll_to(a.cur_page_idx+1):a.container.scrollTop+=a.container.clientHeight;c=!0;break;case 35:a.container.scrollTop=a.container.scrollHeight;c=!0;break;case 36:a.container.scrollTop=0,c=!0}c&&b.preventDefault()},!1)},rescale:function(a,b,c){var e=this.scale;this.scale=a=0===a?1:b?e*a:a;c||(c=[0,0]);b=this.container;c[0]+=b.scrollLeft;c[1]+=b.scrollTop;for(var h=this.pages,d=h.length,f=this.first_page_idx;f<d;++f){var g=h[f].page;if(g.offsetTop+g.clientTop>=
c[1])break}g=f-1;0>g&&(g=0);var g=h[g].page,k=g.clientWidth,f=g.clientHeight,l=g.offsetLeft+g.clientLeft,m=c[0]-l;0>m?m=0:m>k&&(m=k);k=g.offsetTop+g.clientTop;c=c[1]-k;0>c?c=0:c>f&&(c=f);for(f=0;f<d;++f)h[f].rescale(a);b.scrollLeft+=m/e*a+g.offsetLeft+g.clientLeft-m-l;b.scrollTop+=c/e*a+g.offsetTop+g.clientTop-c-k;this.schedule_render(!0)},fit_width:function(){var a=this.cur_page_idx;this.rescale(this.container.clientWidth/this.pages[a].width(),!0);this.scroll_to(a)},fit_height:function(){var a=this.cur_page_idx;
this.rescale(this.container.clientHeight/this.pages[a].height(),!0);this.scroll_to(a)},get_containing_page:function(a){for(;a;){if(a.nodeType===Node.ELEMENT_NODE&&a.classList.contains(CSS_CLASS_NAMES.page_frame)){a=get_page_number(a);var b=this.page_map;return a in b?this.pages[b[a]]:null}a=a.parentNode}return null},link_handler:function(a){var b=a.target,c=b.getAttribute("data-dest-detail");if(c){if(this.config.view_history_handler)try{var e=this.get_current_view_hash();window.history.replaceState(e,
"","#"+e);window.history.pushState(c,"","#"+c)}catch(h){}this.navigate_to_dest(c,this.get_containing_page(b));a.preventDefault()}},navigate_to_dest:function(a,b){try{var c=JSON.parse(a)}catch(e){return}if(c instanceof Array){var h=c[0],d=this.page_map;if(h in d){for(var f=d[h],h=this.pages[f],d=2,g=c.length;d<g;++d){var k=c[d];if(null!==k&&"number"!==typeof k)return}for(;6>c.length;)c.push(null);var g=b||this.pages[this.cur_page_idx],d=g.view_position(),d=transform(g.ictm,[d[0],g.height()-d[1]]),
g=this.scale,l=[0,0],m=!0,k=!1,n=this.scale;switch(c[1]){case "XYZ":l=[null===c[2]?d[0]:c[2]*n,null===c[3]?d[1]:c[3]*n];g=c[4];if(null===g||0===g)g=this.scale;k=!0;break;case "Fit":case "FitB":l=[0,0];k=!0;break;case "FitH":case "FitBH":l=[0,null===c[2]?d[1]:c[2]*n];k=!0;break;case "FitV":case "FitBV":l=[null===c[2]?d[0]:c[2]*n,0];k=!0;break;case "FitR":l=[c[2]*n,c[5]*n],m=!1,k=!0}if(k){this.rescale(g,!1);var p=this,c=function(a){l=transform(a.ctm,l);m&&(l[1]=a.height()-l[1]);p.scroll_to(f,l)};h.loaded?
c(h):(this.load_page(f,void 0,c),this.scroll_to(f))}}}},scroll_to:function(a,b){var c=this.pages;if(!(0>a||a>=c.length)){c=c[a].view_position();void 0===b&&(b=[0,0]);var e=this.container;e.scrollLeft+=b[0]-c[0];e.scrollTop+=b[1]-c[1]}},get_current_view_hash:function(){var a=[],b=this.pages[this.cur_page_idx];a.push(b.num);a.push("XYZ");var c=b.view_position(),c=transform(b.ictm,[c[0],b.height()-c[1]]);a.push(c[0]/this.scale);a.push(c[1]/this.scale);a.push(this.scale);return JSON.stringify(a)}};
pdf2htmlEX.Viewer=Viewer;})();
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<script>
try{
pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({});
}catch(e){}
</script>
<title></title>
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<body>
<div id="sidebar">
<div id="outline">
</div>
</div>
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class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h3 y2 ff2 fs1 fc0 sc0 ls1 ws0">SEAN I YOUNG, PhD<span class="ff3 ls0"> <span class="_ _0"></span> <span class="_ _0"></span><span class="ff4"> | <span class="ls2">About Me</span> | <span class="fc1 ls3">Curriculum Vit<span class="ls4">ae</span></span> | <span class="fc1">P<span class="ls4">ublication</span>s</span> | <span class="fc1 ls5">Google Scholar<span class="ls0"> </span></span>| <span class="fc1"> E-<span class="ls6">mail</span></span> </span></span></div><div class="t m0 x1 h4 y3 ff4 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h5 y4 ff5 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h4 y5 ff4 fs1 fc0 sc0 ls7 ws0">Page <span class="ls0">1 <span class="_ _1"> </span> <span class="_ _2"> </span></span><span class="fc1">Back to the top</span><span class="ff5 ls0"> </span></div><div class="t m0 x1 h6 y6 ff2 fs1 fc0 sc0 ls8 ws0">Teaching<span class="ls0"> <span class="_ _3"></span><span class="ls9">Statement<span class="ls0">.<span class="ff6 fs2"> <span class="_ _3"></span><span class="ff4 fs1 lsa">I <span class="_ _3"></span>believe<span class="ls0"> <span class="_ _3"></span><span class="lsb">that <span class="_ _4"></span>the <span class="_ _4"></span>role <span class="_ _3"></span>of <span class="_ _3"></span>a <span class="_ _3"></span>good <span class="_ _3"></span><span class="ls9">educator<span class="ls0"> <span class="_ _3"></span><span class="lsc">should <span class="_ _4"></span>be<span class="ls0"> <span class="_ _3"></span><span class="lsb">to <span class="_ _3"></span><span class="ls8">help <span class="_ _3"></span>students <span class="_ _3"></span>find<span class="ls0">, <span class="_ _4"></span><span class="lsd">in <span class="_ _3"></span>themselves<span class="ls0">, </span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 y7 ff4 fs1 fc0 sc0 lsb ws0">the joy of learning<span class="lsd">. Carl Friedrich <span class="ls5">Gauss once said:<span class="ls0"> </span></span></span></div><div class="t m0 x2 h7 y8 ff7 fs2 fc0 sc0 ls0 ws0">“It is not knowledge, but the act of learning, </div><div class="t m0 x3 h7 y9 ff7 fs2 fc0 sc0 ls0 ws0">not possession but the act of getting there, </div><div class="t m0 x4 h7 ya ff7 fs2 fc0 sc0 ls0 ws0">which grants the greatest joy.” </div><div class="t m0 x5 h2 yb ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h4 yc ff4 fs1 fc0 sc0 lse ws0">Machines learn, too, but do not derive joy <span class="_ _5"></span>from <span class="lsf">learning. <span class="ls5">That <span class="_ _5"></span>only humans can derive joy <span class="_ _5"></span>from <span class="lsd">it<span class="ls0"> <span class="lsc">sugg<span class="_ _5"></span>ests </span></span></span></span></span></div><div class="t m0 x1 h4 yd ff4 fs1 fc0 sc0 lsb ws0">that learning <span class="_ _3"></span>is what <span class="_ _5"></span><span class="ls6">makes us<span class="ls0"> <span class="_ _5"></span><span class="ls4">ultimately<span class="ls0"> <span class="_ _5"></span><span class="ls8">human,<span class="ls0"> <span class="_ _5"></span><span class="lsb">rendering<span class="ls0"> <span class="_ _5"></span><span class="lsb">the <span class="_ _5"></span>role <span class="_ _5"></span>of educators <span class="_ _3"></span><span class="ls6">more important than <span class="_ _5"></span>ever </span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 ye ff4 fs1 fc0 sc0 lsd ws0">in <span class="_ _5"></span>a<span class="ls8">n <span class="_ _5"></span><span class="ls4">age<span class="ls0"> <span class="_ _5"></span><span class="ls2">whe<span class="lsb">re<span class="ls0"> <span class="_ _5"></span><span class="ls4">people<span class="ls0"> <span class="_ _5"></span><span class="ls4">are <span class="_ _5"></span><span class="lsd">inundated<span class="ls0"> <span class="_ _3"></span><span class="ls2">with<span class="ls0"> <span class="ls10">knowledge.</span> <span class="_ _3"></span><span class="lsa">I believe <span class="_ _5"></span>that <span class="_ _5"></span><span class="lsb">to <span class="_ _5"></span><span class="ls11">find<span class="ls0"> <span class="_ _3"></span><span class="lsb">thi<span class="_ _6"></span>s joy, <span class="_ _3"></span><span class="lsf">learning<span class="ls0"> <span class="ls6">must</span> <span class="_ _3"></span><span class="ls4">be<span class="ls0"> <span class="ls6">made</span> </span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 yf ff8 fs1 fc0 sc0 ls12 ws0">multi<span class="ls0">-<span class="lsb">scal</span>e<span class="ff4">—<span class="ls10">knowledge <span class="_ _7"></span><span class="lsd">is</span></span> <span class="_ _7"></span><span class="ls11">first <span class="_ _7"></span><span class="lsb">transferred <span class="_ _7"></span><span class="ls4">at <span class="_ _8"></span>a <span class="_ _7"></span>coarse <span class="_ _7"></span><span class="lsc">scale<span class="lsd">, <span class="_ _7"></span>where <span class="_ _7"></span>it <span class="_ _8"></span>is <span class="_ _7"></span>more <span class="_ _7"></span></span></span>digestible</span></span></span>, <span class="_ _7"></span><span class="ls4">and</span> <span class="_ _8"></span><span class="ls4">progressively </span></span></span></div><div class="t m0 x1 h4 y10 ff4 fs1 fc0 sc0 lsb ws0">refined <span class="_ _3"></span>through <span class="_ _5"></span>a <span class="_ _3"></span>series <span class="_ _5"></span>of <span class="_ _3"></span>deltas <span class="_ _5"></span>until <span class="_ _3"></span><span class="ls4">a <span class="_ _5"></span>clear <span class="_ _3"></span>picture <span class="_ _5"></span>emerges<span class="ls0">—<span class="ls6">much <span class="_ _3"></span>like a <span class="_ _4"></span>mu<span class="_ _6"></span>lti<span class="ls0">-<span class="lsc">scale <span class="_ _3"></span>transform <span class="_ _3"></span>of im<span class="_ _5"></span>age<span class="ls0">s. </span></span></span></span></span></span></div><div class="t m0 x1 h4 y11 ff4 fs1 fc0 sc0 lsa ws0">I n<span class="ls13">ow <span class="ls4">discuss <span class="lsc">some of the <span class="lsb">techniques that I have used in my own teaching to<span class="ls0"> </span></span></span>achieve this<span class="ls0">: </span></span></span></div><div class="t m0 x1 h4 y12 ff4 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h3 y13 ff2 fs1 fc0 sc0 ls8 ws0">Lie, and then reveal the lie.<span class="_ _6"></span><span class="ff4 ls0"> <span class="ls5">The mult<span class="_ _6"></span>i</span>-<span class="lsc">scale approach involves “lying” to students on purpose at first, and </span></span></div><div class="t m0 x1 h4 y14 ff4 fs1 fc0 sc0 lsb ws0">then revealing the <span class="_ _5"></span>“lie” <span class="ls2">when<span class="ls0"> </span></span>the<span class="ls0"> <span class="lsc">st<span class="_ _5"></span>udents are <span class="_ _5"></span>ready for <span class="_ _5"></span>delta<span class="ls0">s. A <span class="_ _5"></span><span class="lsb">toy<span class="ls0"> <span class="ls9">example of <span class="_ _5"></span>this <span class="lsd">is<span class="ls0"> <span class="ls2">when <span class="lsa">I <span class="_ _5"></span><span class="ls10">visualize<span class="ls0"> <span class="lsb">the</span> </span></span></span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 y15 ff4 fs1 fc0 sc0 lsf ws0">logistic <span class="_ _6"></span>regression <span class="_ _0"></span><span class="ls9">equation<span class="_ _6"></span><span class="ls0"> <span class="_ _0"></span><span class="ls4">using</span> <span class="_ _0"></span><span class="lsb">the <span class="_ _0"></span>model <span class="_ _0"></span>of <span class="_ _0"></span><span class="ls4">a <span class="_ _0"></span>perceptron</span></span> <span class="_ _0"></span><span class="ls4">and <span class="_ _0"></span><span class="lsb">tell <span class="_ _0"></span><span class="ls6">my</span></span></span> <span class="_ _0"></span><span class="lsc">students</span> <span class="_ _6"></span><span class="lsb">that <span class="_ _0"></span>the <span class="_ _0"></span>two <span class="_ _0"></span>models <span class="_ _0"></span>are </span></span></span></div><div class="t m0 x1 h4 y16 ff4 fs1 fc0 sc0 lsd ws0">identical<span class="ls0"> (<span class="ls4">a <span class="lsf">lie)</span></span>. <span class="lsa">I then <span class="lsb">tell <span class="lsc">students</span></span></span> <span class="lsb">the choice of non</span>-<span class="lsf">linearity is act<span class="_ _5"></span>ually different<span class="ls0"> <span class="ls11">for the perceptron model</span> </span></span></span></div><div class="t m0 x1 h4 y17 ff4 fs1 fc0 sc0 lsf ws0">(revealing the <span class="_ _6"></span>lie).<span class="ls0"> <span class="_ _6"></span><span class="ls5">Thi<span class="_ _6"></span>s <span class="_ _6"></span><span class="ls4">approach <span class="_ _6"></span>has</span></span> <span class="_ _6"></span><span class="lsb">two <span class="_ _6"></span>benefits. <span class="_ _6"></span>First, <span class="_ _0"></span><span class="lsd">it is <span class="_ _0"></span>true that <span class="_ _6"></span>the <span class="_ _6"></span>two <span class="_ _6"></span>models <span class="_ _6"></span>are <span class="_ _6"></span>identical <span class="_ _6"></span>for <span class="_ _6"></span>the</span></span> </span></div><div class="t m0 x1 h4 y18 ff4 fs1 fc0 sc0 ls6 ws0">most part,<span class="ls0"> <span class="_ _6"></span><span class="ls4">and <span class="lsb">the relationship <span class="_ _6"></span>between the two <span class="lsd">is</span></span></span> <span class="_ _6"></span><span class="lsa">clear from the offset. <span class="_ _6"></span>Students <span class="ls4">are not <span class="_ _6"></span>missing out on <span class="_ _6"></span>so </span></span></span></div><div class="t m0 x1 h4 y19 ff4 fs1 fc0 sc0 ls6 ws0">much <span class="_ _0"></span>even <span class="_ _0"></span><span class="lsd">if <span class="_ _0"></span>they <span class="_ _0"></span>were <span class="_ _0"></span>not <span class="_ _0"></span>to <span class="_ _0"></span>consume<span class="ls0"> <span class="_ _0"></span><span class="lsb">the <span class="_ _0"></span>delta</span></span>. <span class="_ _0"></span><span class="ls7">Seco<span class="_ _6"></span>nd, <span class="_ _0"></span><span class="lsb">the <span class="_ _0"></span><span class="ls0">d<span class="ls9">elta</span> <span class="_ _0"></span></span></span></span>is<span class="ls0"> <span class="_ _0"></span><span class="ls9">explicitly <span class="_ _7"></span><span class="lsa">communicated</span></span> <span class="_ _6"></span>s<span class="ls4">uch</span> <span class="_ _0"></span><span class="lsb">that </span></span></span></div><div class="t m0 x1 h4 y1a ff4 fs1 fc0 sc0 lsc ws0">students <span class="ls4">are clear about <span class="lsb">the difference between the two<span class="ls0"> <span class="ls6">models if</span> </span>they <span class="ls2">were<span class="ls0"> </span></span>to <span class="lsa">consume<span class="ls0"> </span></span>the deltas.<span class="ls0"> </span></span></span></div><div class="t m0 x1 h3 y1b ff2 fs1 fc0 sc0 lsb ws0">Cover <span class="_ _6"></span>intuition <span class="_ _0"></span>first<span class="ls0"> <span class="_ _0"></span><span class="ls9">and <span class="_ _6"></span>details <span class="_ _0"></span>second</span>.<span class="ff4"> <span class="_ _0"></span><span class="lse">Many <span class="_ _0"></span>textbooks <span class="_ _0"></span><span class="lsb">tackle <span class="_ _0"></span>proofs <span class="_ _0"></span><span class="ls13">of</span></span></span> <span class="_ _0"></span><span class="lsb">theorems <span class="_ _0"></span>by</span> <span class="_ _6"></span><span class="lsf">lay<span class="lsd">ing</span></span> <span class="_ _0"></span><span class="ls13">out <span class="_ _0"></span>a <span class="_ _0"></span>proof </span></span></span></div><div class="t m0 x1 h4 y1c ff4 fs1 fc0 sc0 lsc ws0">sketch prior <span class="_ _5"></span>to <span class="_ _5"></span>the actual <span class="_ _5"></span>proof. <span class="_ _5"></span><span class="ls5">Th<span class="lsd">is<span class="ls0"> </span>idea <span class="_ _5"></span>of covering<span class="_ _5"></span> intuition <span class="_ _5"></span>before <span class="ls4">going <span class="_ _5"></span>through the <span class="_ _5"></span>details with <span class="_ _5"></span>a fine<span class="ls0">-</span></span></span></span></div><div class="t m0 x1 h4 y1d ff4 fs1 fc0 sc0 lsb ws0">toothed comb <span class="_ _6"></span>is <span class="_ _6"></span>similar to <span class="_ _6"></span>the <span class="_ _6"></span>“lying <span class="_ _6"></span>on purpose” <span class="_ _6"></span>one <span class="_ _6"></span>above, <span class="ls9">except <span class="_ _6"></span>the <span class="_ _6"></span><span class="ls6">mechanism <span class="_ _6"></span>used <span class="_ _6"></span>for <span class="_ _6"></span><span class="lsa">conditioning </span></span></span></div><div class="t m0 x1 h4 y1e ff4 fs1 fc0 sc0 lsd ws0">is <span class="_ _0"></span><span class="ls4">different. <span class="_ _0"></span>Here, <span class="_ _0"></span>the <span class="_ _7"></span>intuition <span class="_ _0"></span>acts <span class="_ _0"></span>as <span class="_ _0"></span>the <span class="_ _7"></span>coarse<span class="ls0">-<span class="lsc">scale <span class="_ _6"></span><span class="ls10">knowledge <span class="_ _0"></span>and <span class="_ _0"></span>the <span class="_ _0"></span>details <span class="_ _7"></span>are <span class="_ _6"></span>the <span class="_ _0"></span>deltas. <span class="_ _0"></span>No <span class="_ _7"></span>lying </span></span></span></span></div><div class="t m0 x1 h4 y1f ff4 fs1 fc0 sc0 lsb ws0">takes <span class="_ _0"></span>place. <span class="_ _0"></span><span class="ls2">Again, <span class="_ _0"></span>t<span class="_ _6"></span>he <span class="_ _0"></span>benefits <span class="_ _0"></span>are <span class="_ _7"></span>obvious<span class="ls0">: <span class="_ _0"></span>i</span></span>t <span class="_ _0"></span><span class="lsd">is <span class="_ _0"></span>better <span class="_ _0"></span>for <span class="_ _0"></span>students <span class="_ _0"></span>to <span class="_ _0"></span><span class="ls4">understand <span class="_ _7"></span>the <span class="_ _6"></span><span class="ls2">whol<span class="_ _6"></span>e <span class="_ _0"></span></span>proof <span class="_ _0"></span>sketch </span></span></div><div class="t m0 x1 h4 y20 ff4 fs1 fc0 sc0 ls4 ws0">and<span class="ls0"> <span class="_ _5"></span><span class="ls8">none <span class="_ _5"></span>of<span class="ls0"> <span class="_ _5"></span><span class="lsb">the <span class="_ _5"></span>actual <span class="_ _5"></span>proof<span class="ls0">, <span class="_ _5"></span><span class="ls4">as <span class="_ _5"></span>opposed to<span class="lsd">, <span class="_ _3"></span>say,<span class="ls0"> </span>if <span class="_ _3"></span>students wer<span class="ls9">e <span class="_ _5"></span>to <span class="_ _5"></span>understand <span class="_ _5"></span><span class="ls13">only <span class="_ _5"></span><span class="lsb">the <span class="_ _5"></span>first<span class="ls0"> <span class="_ _5"></span><span class="ls11">few <span class="_ _5"></span>lines<span class="ls0"> <span class="_ _5"></span><span class="ls13">of <span class="_ _5"></span>the </span></span></span></span></span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 y21 ff4 fs1 fc0 sc0 ls4 ws0">actual<span class="ls0"> </span>proof.<span class="ls0"> </span></div><div class="t m0 x1 h3 y22 ff2 fs1 fc0 sc0 lsb ws0">Communicate <span class="_ _6"></span>at <span class="_ _0"></span>the <span class="_ _6"></span>level <span class="_ _0"></span>of <span class="_ _6"></span>student<span class="ls0">s.<span class="ff4"> <span class="_ _0"></span><span class="ls5">There <span class="_ _0"></span>is <span class="_ _0"></span>no <span class="_ _6"></span>use<span class="_ _6"></span> <span class="_ _6"></span>in<span class="_ _6"></span> <span class="_ _6"></span>c<span class="ls13">ommunicating <span class="_ _0"></span><span class="ls11">finer</span></span></span> <span class="_ _0"></span><span class="ls4">and <span class="_ _6"></span><span class="ls11">finer</span></span> <span class="_ _0"></span><span class="ls4">deltas <span class="_ _0"></span>in <span class="_ _6"></span>hopes<span class="_ _6"></span> </span></span></span></div><div class="t m0 x1 h4 y23 ff4 fs1 fc0 sc0 ls13 ws0">of<span class="ls0"> <span class="_ _5"></span><span class="lsa">clarify<span class="lsd">ing<span class="ls0"> <span class="_ _5"></span><span class="lsb">the<span class="ls0"> <span class="_ _3"></span><span class="ls4">pic<span class="_ _6"></span>ture <span class="_ _5"></span><span class="lsb">to <span class="_ _5"></span>a <span class="_ _5"></span>resolution <span class="_ _5"></span>that <span class="_ _5"></span>students <span class="_ _5"></span>cannot <span class="_ _5"></span>handle. <span class="_ _3"></span><span class="ls2">A level <span class="_ _5"></span>of <span class="_ _5"></span>abstraction is <span class="_ _3"></span>always required </span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 y24 ff4 fs1 fc0 sc0 ls4 ws0">and<span class="ls0"> <span class="_ _6"></span><span class="lsb">the <span class="_ _0"></span></span>“<span class="lsb">right</span>” <span class="_ _6"></span><span class="lsf">level <span class="_ _6"></span>of</span> <span class="_ _0"></span></span>abstraction <span class="_ _6"></span>depends <span class="_ _0"></span>on <span class="_ _0"></span>the <span class="_ _6"></span>level <span class="_ _0"></span>of <span class="_ _6"></span>the <span class="_ _0"></span>students.<span class="ls0"> <span class="_ _0"></span><span class="ls13">For <span class="_ _6"></span>students <span class="_ _0"></span>working <span class="_ _6"></span>on <span class="_ _0"></span>medical </span></span></div><div class="t m0 x1 h4 y25 ff4 fs1 fc0 sc0 lsd ws0">image <span class="_ _6"></span>segmentation<span class="ls0"> <span class="_ _6"></span><span class="ls4">using <span class="_ _6"></span>deep <span class="_ _6"></span>l<span class="_ _6"></span>earning</span></span>, <span class="_ _6"></span>quantum<span class="ls0">-<span class="ls6">mechanical <span class="_ _6"></span>a<span class="_ _6"></span>spects <span class="_ _6"></span>of <span class="_ _0"></span>MRI <span class="_ _6"></span><span class="lsa">can <span class="_ _0"></span>perhaps <span class="_ _6"></span>be <span class="_ _6"></span>abstracted </span></span></span></div><div class="t m0 x1 h4 y26 ff4 fs1 fc0 sc0 ls13 ws0">out and <span class="_ _6"></span>MR images<span class="ls0"> <span class="_ _6"></span><span class="lsc">simply</span> <span class="ls4">presented as <span class="_ _6"></span>a <span class="_ _6"></span>grid of <span class="_ _6"></span>voxels. <span class="_ _6"></span><span class="ls14">While <span class="_ _6"></span>this <span class="_ _6"></span><span class="lsc">seems obvious<span class="lsd">, </span>students have <span class="_ _6"></span></span></span>different </span></span></div><div class="t m0 x1 h4 y27 ff4 fs1 fc0 sc0 ls4 ws0">background<span class="ls0">s </span>and <span class="lsf">leve<span class="_ _5"></span>ls of <span class="ls4">understanding, <span class="_ _5"></span>posing difficulties on <span class="_ _5"></span>deciding the right <span class="_ _5"></span>level of abstraction<span class="ls0"> <span class="_ _5"></span><span class="ls11">for all </span></span></span></span></div><div class="t m0 x1 h4 y28 ff4 fs1 fc0 sc0 lsc ws0">students<span class="lsd">. A<span class="_ _5"></span>n approa<span class="_ _5"></span>ch I <span class="_ _5"></span>have <span class="_ _5"></span>used<span class="ls0"> <span class="_ _5"></span><span class="lsb">to deal <span class="_ _5"></span>with <span class="_ _5"></span>this<span class="ls0"> <span class="lsd">is <span class="_ _3"></span>to <span class="ls10">“scaffold”<span class="ls0"> <span class="lsb">the <span class="_ _5"></span>course <span class="lsa">content,<span class="ls0"> <span class="_ _3"></span><span class="lsc">so the main <span class="_ _3"></span>material </span></span></span></span></span></span></span></span></span></span></span></div><div class="t m0 x1 h4 y29 ff4 fs1 fc0 sc0 lsd ws0">is <span class="ls4">digestible<span class="ls0"> </span>by the majority of students, <span class="ls2">while<span class="ls0"> <span class="lsb">those wanting <span class="ls6">more<span class="_ _6"></span></span></span> </span></span>are pointed at<span class="ls0"> <span class="lsb">the extra materials.</span> </span></span></div><div class="t m0 x1 h3 y2a ff2 fs1 fc0 sc0 ls15 ws0">TEACHING<span class="ls0"> <span class="_ _6"></span><span class="ls16">EXPERIENCE</span> </span></div><div class="t m0 x1 h4 y2b ff4 fs1 fc0 sc0 ls3 ws0">Contrary to <span class="_ _6"></span>the <span class="_ _6"></span>adage th<span class="_ _6"></span>at those <span class="_ _6"></span>who <span class="_ _6"></span>cannot do<span class="_ _6"></span> teach, <span class="_ _6"></span><span class="lsa">I believe <span class="_ _6"></span>that <span class="lsb">regularly <span class="_ _6"></span>meditating on <span class="_ _6"></span>fundamental<span class="ls0"> </span></span></span></div><div class="t m0 x1 h4 y2c ff4 fs1 fc0 sc0 lsb ws0">results leads <span class="_ _6"></span>to clearer thi<span class="_ _6"></span>nking <span class="ls4">and <span class="_ _6"></span><span class="ls10">keeps <span class="ls13">our brains<span class="_ _6"></span><span class="ls0"> <span class="ls8">nimble<span class="lsd">. <span class="lsa">I <span class="_ _6"></span>also consider <span class="_ _6"></span>it an <span class="_ _6"></span>academic’s duty to <span class="_ _6"></span></span></span></span></span></span></span>distill </span></div><div class="t m0 x1 h4 y2d ff4 fs1 fc0 sc0 ls10 ws0">knowledge <span class="_ _6"></span>and <span class="_ _6"></span>pass <span class="_ _6"></span>it <span class="_ _0"></span>on <span class="_ _6"></span>to <span class="_ _0"></span>the <span class="_ _6"></span>next <span class="_ _6"></span>generation <span class="_ _6"></span>of <span class="_ _0"></span>researchers <span class="_ _6"></span>in <span class="_ _6"></span>hopes <span class="_ _0"></span>that <span class="_ _6"></span>they <span class="_ _6"></span>will <span class="_ _0"></span>carry <span class="_ _6"></span>on <span class="_ _6"></span>our <span class="_ _0"></span>legacy<span class="ls0"> </span></div><div class="t m0 x1 h3 y2e ff4 fs1 fc0 sc0 ls11 ws0">further. Here, I briefly list <span class="ls6">my<span class="ls0"> <span class="ls4">part</span>-<span class="lsb">time teaching <span class="ls4">activities over the years.</span></span><span class="ff2"> </span></span></span></div><div class="t m0 x1 h3 y2f ff2 fs1 fc0 sc0 lse ws0">Multi<span class="ls0">-<span class="ls17">dimensional</span> <span class="_ _0"></span><span class="ls9">Signal <span class="_ _0"></span>Proc<span class="_ _6"></span>essing</span>, <span class="_ _0"></span><span class="ls8">Tutor <span class="_ _0"></span></span>(<span class="ls12">2017<span class="lsb">).</span></span><span class="ff4"> <span class="_ _0"></span>A <span class="_ _7"></span><span class="ls13">10</span>-<span class="ls2">week</span> <span class="_ _6"></span><span class="ls13">4th <span class="_ _7"></span>year <span class="_ _0"></span>undergraduate <span class="_ _0"></span>course <span class="_ _7"></span>on</span> <span class="_ _6"></span><span class="ls6">mul<span class="_ _6"></span>ti</span>-</span></span></div><a class="l" href="index.html"><div class="d m1" style="border-style:none;position:absolute;left:314.117647px;bottom:1125.882353px;width:49.920000px;height:13.440000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="cv.html"><div class="d m1" style="border-style:none;position:absolute;left:415.686275px;bottom:1125.882353px;width:83.280000px;height:13.440000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="publications.html"><div class="d m1" style="border-style:none;position:absolute;left:571.372549px;bottom:1125.882353px;width:58.320000px;height:13.440000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://scholar.google.com/citations?user=6Z-RCZcAAAAJ&hl=en"><div class="d m1" style="border-style:none;position:absolute;left:686.666667px;bottom:1125.882353px;width:72.960000px;height:13.440000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="mailto:[email protected]"><div class="d m1" style="border-style:none;position:absolute;left:825.882353px;bottom:1125.882353px;width:34.080000px;height:13.440000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1" data-dest-detail='[1,"XYZ",69.84,702.48,null]'><div class="d m1" style="border-style:none;position:absolute;left:769.411765px;bottom:58.823529px;width:71.280000px;height:12.480000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.633987,0.000000,0.000000,1.633987,0.000000,0.000000]}'></div></div>
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AAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAbykBAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAIC3lAAAAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAvCUAAADeEgAAAG8JAACAtwQAAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAvCUAAADeEgAAAG8JAACAtwQAAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAwFtKAAAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWALT9OqYBAIBhGKbwJz0QuyrZEPIFAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAAG8pAQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAACAt5QAAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAvCUAAADeEgAAAG8JAACAtwQAAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAvCUAAADeEgAAAG8JAACAtwQAAABvCQAAgLcEAADAWwIAAOAtAQAAwFsCAADgLQEAAPCWAAAAeEsAAADwlgAAAHhLAAAAvCUAAADeEgAAALwlAAAA3hIAAABvCQAAgLcEAAAAbwkAAIC3BAAAwFsCAADgLQEAAMBbAgAA4C0BAADwlgAAAHhLAAAA8JYAAAB4SwAAALwlAAAA3hIAAAC8JQAAAN4SAAAAbwkAAIC3BAAAAG8JAACAtwQAAMBbAgAA4C0BAADAWwIAAOAtAQAA8JYAAAB4SwAAAPCWAAAAeEsAAAC8JQAAAN4SAAAAvCUAAADeEgAAAG8JAACAtwQAAMBbSgAAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAALwlAAAAeEsAAAC8JQAAAN4SAAAAbwkAAADeEgAAAG8JAACAtwQAAMBbAgAAgLcEAADAWwIAAOAtAQAA8JYAAADgLQEAAPCWAAAAeEsAAAC8JQAAAHhLAAAAvCUAAADeEgAAAG8JAAAA3hIAAABvCQAAgLcEAADAWwIAAIC3BAAAwFsCAADgLQEAAPCWAAAA4C0BAADwlgAAAHhLAAAAvCUAAAB4SwAAALwlAAAA3hIAAABvCQAAAN4SAAAAbwkAAIC3BAAAwFsCAACAtwQAAMBbAgAA4C0BAADwlgAAAOAtAQAA8JYAAAB4SwAAA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class="t m0 x1 h4 y5 ff4 fs1 fc0 sc0 ls7 ws0">Page <span class="ls0">2 <span class="_ _1"> </span> <span class="_ _2"> </span></span><span class="fc1">Back to the top</span><span class="ff5 ls0"> </span></div><div class="t m0 x1 h4 y30 ff4 fs1 fc0 sc0 ls4 ws0">dimensional<span class="ls0"> <span class="_ _6"></span><span class="lsc">signal <span class="_ _6"></span>processin</span></span>g <span class="_ _0"></span><span class="lsb">taught<span class="ls0"> <span class="_ _6"></span><span class="ls2">while <span class="_ _6"></span>my <span class="_ _0"></span>advisor <span class="_ _6"></span><span class="lsf">(David <span class="_ _0"></span>Taubman) <span class="_ _6"></span></span>was <span class="_ _6"></span>on <span class="_ _0"></span>sabbatical.</span> <span class="_ _0"></span><span class="ls17">Each <span class="_ _6"></span>tutorial </span></span></span></div><div class="t m0 x1 h4 y31 ff4 fs1 fc0 sc0 ls2 ws0">was <span class="_ _3"></span>1.5 <span class="_ _5"></span>hours.<span class="ls0"> <span class="_ _3"></span><span class="ls3">Course <span class="_ _5"></span>content <span class="_ _3"></span>in<span class="_ _6"></span>cluded <span class="_ _5"></span><span class="ls0">c<span class="ls13">ontinuous <span class="_ _3"></span>and <span class="_ _3"></span>discrete <span class="_ _5"></span>LSI <span class="_ _3"></span>systems<span class="lsd">, <span class="_ _5"></span><span class="lsb">review <span class="_ _3"></span>of <span class="_ _3"></span>native <span class="_ _5"></span>programming </span></span></span></span></span></span></div><div class="t m0 x1 h4 y32 ff4 fs1 fc0 sc0 lsd ws0">in <span class="_ _6"></span>C <span class="_ _6"></span><span class="ls4">and<span class="ls0"> <span class="_ _6"></span><span class="ls6">memory <span class="_ _6"></span>organizat<span class="_ _6"></span>ion <span class="_ _6"></span>and <span class="_ _6"></span>managemen<span class="_ _6"></span>t <span class="_ _6"></span>+ <span class="_ _6"></span>multi</span>-</span>dimensional <span class="_ _6"></span>filtering</span>; <span class="_ _0"></span>i<span class="ls6">maging <span class="_ _6"></span>systems, <span class="_ _0"></span>aliasing, </span></div><div class="t m0 x1 h4 y33 ff4 fs1 fc0 sc0 lsb ws0">resampling and <span class="_ _6"></span>intro<span class="ls4">duction<span class="ls0"> </span></span>to multi<span class="ls0">-<span class="ls4">dimensional <span class="_ _6"></span>filter <span class="_ _6"></span>design<span class="lsd">; m</span>ulti</span>-<span class="ls4">dimensional <span class="_ _6"></span>filter design, <span class="_ _6"></span>correlation </span></span></div><div class="t m0 x1 h4 y34 ff4 fs1 fc0 sc0 ls4 ws0">and <span class="_ _7"></span><span class="lsb">the <span class="_ _0"></span><span class="ls7">Disc<span class="_ _6"></span>rete <span class="_ _7"></span>Fourier <span class="_ _7"></span>Transforms <span class="_ _7"></span>in <span class="_ _7"></span>multiple <span class="_ _7"></span>resolutions<span class="lsd">; <span class="_ _0"></span>m</span></span></span>ulti<span class="ls0">-<span class="lsb">resolution <span class="_ _7"></span>processing <span class="_ _7"></span>and <span class="_ _7"></span>transforms<span class="lsd">; </span></span></span></div><div class="t m0 x1 h4 y35 ff4 fs1 fc0 sc0 ls0 ws0">s<span class="ls8">hape <span class="_ _3"></span>and <span class="_ _3"></span>morphological <span class="_ _3"></span>processing<span class="lsd">; <span class="_ _3"></span> <span class="_ _3"></span>s<span class="ls9">egmentation <span class="_ _3"></span>and <span class="_ _3"></span>image <span class="_ _3"></span>feature <span class="_ _3"></span>analysis<span class="ls0">; <span class="_ _3"></span>c<span class="ls13">olor <span class="_ _3"></span>processing, <span class="_ _3"></span>conversion </span></span></span></span></span></div><div class="t m0 x1 h8 y36 ff4 fs1 fc0 sc0 ls4 ws0">and analysis<span class="ls0">; m<span class="ls13">otion and optical flow<span class="lsd">; and i<span class="ls8">ntroduction to media compression</span></span></span>.<span class="ff9 fs3"> </span></span></div><div class="t m0 x1 h3 y37 ff2 fs1 fc0 sc0 lse ws0">Machine <span class="_ _7"></span>Lear<span class="_ _6"></span>ning<span class="ls0"> <span class="_ _7"></span><span class="ls9">and <span class="_ _7"></span>Artifici<span class="_ _6"></span>al <span class="_ _7"></span>Intelligence, <span class="_ _8"> </span>Lecturer</span> <span class="_ _7"></span><span class="lsb">(2022</span>–<span class="ls12">2023).</span><span class="ff4"> <span class="_ _7"></span><span class="ls2">An <span class="_ _8"> </span>introductory <span class="_ _8"> </span>12</span>-<span class="ls2">week <span class="_ _7"></span>machin<span class="_ _6"></span>e </span></span></span></div><div class="t m0 x1 h4 y38 ff4 fs1 fc0 sc0 lsf ws0">learning <span class="_ _5"></span>course, <span class="_ _5"></span>delivered <span class="_ _3"></span>online, for <span class="_ _5"></span>four <span class="_ _5"></span>trimesters <span class="_ _3"></span>to Australian <span class="_ _3"></span>students from <span class="_ _5"></span>diverse <span class="_ _3"></span>backgrounds. Each </div><div class="t m0 x1 h4 y39 ff4 fs1 fc0 sc0 lsf ws0">lecture <span class="_ _3"></span>is 2.5 <span class="_ _3"></span>hours <span class="_ _5"></span>duration. <span class="_ _3"></span>Course <span class="_ _3"></span>content included<span class="_ _5"></span> <span class="_ _3"></span>supervised and <span class="_ _3"></span>unsupervised <span class="_ _3"></span>learning, <span class="_ _5"></span>reinforcement </div><div class="t m0 x1 h4 y3a ff4 fs1 fc0 sc0 lsf ws0">learnin<span class="ls4">g, <span class="_ _6"></span>introductory <span class="_ _0"></span>computer <span class="_ _6"></span>vision <span class="_ _0"></span>using <span class="_ _0"></span>CNNs <span class="_ _6"></span>and <span class="_ _0"></span>natural <span class="_ _6"></span>language <span class="_ _0"></span>processing <span class="_ _0"></span>using <span class="_ _6"></span>BERT, <span class="_ _0"></span>model </span></div><div class="t m0 x1 h4 y3b ff4 fs1 fc0 sc0 lsd ws0">interpretability <span class="_ _6"></span>and <span class="_ _7"></span>ethics. <span class="_ _6"></span>Mandate <span class="_ _0"></span>also <span class="_ _0"></span>included <span class="_ _0"></span>developing <span class="_ _0"></span>new <span class="_ _0"></span>course <span class="_ _0"></span>content, <span class="_ _0"></span>designing <span class="_ _0"></span>and <span class="_ _7"></span><span class="ls4">grading </span></div><div class="t m0 x1 h4 y3c ff4 fs1 fc0 sc0 lsc ws0">student assessments. <span class="ls0"> </span></div><a class="l" href="#pf1" data-dest-detail='[1,"XYZ",69.84,702.48,null]'><div class="d m1" style="border-style:none;position:absolute;left:769.411765px;bottom:58.823529px;width:71.280000px;height:12.480000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.633987,0.000000,0.000000,1.633987,0.000000,0.000000]}'></div></div>
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