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This guide covers the logistics and structure of an M.S. defense presentation including the presentation style, delivery, and slide organization. It outlines key steps such as committee selection, defense scheduling, talk preparation, and presentation outline. It provides detailed tips on preparation timelines, rehearsal schedules, and key presentation elements for a successful defense.
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M.S. Thesis Presentation Alex Dekhtyar for CSC 590
We will talk about... • Logistics of M.S. Defense • Structure of Presentation • Presentation Style • Delivery • Slides
M.S. Defense • What? • When? • Who? • How Long?
M.S. Defense • What? • Final step • When? • Who? • How Long?
M.S. Defense • What? • When? • When thesis is ready! • Who? • How Long?
M.S. Defense • What? • When? • Who? • You • Advisor • Committee • How Long?
M.S. Defense • What? • When? • Who? • How Long? Presentation: 30– 45 mins Questions and Answers: 10 – 30mins Discussion: 5 – 15 mins Total: 45 – 90 mins
M.S. Defense • What? • When? • Who? • How Long? Presentation: 30– 45 mins Questions and Answers: 10 – 30mins Discussion: 5 – 15 mins Public Closed doors Total: 45 – 90 mins
Logistics • Committee Selection • Defense Scheduling • Talk Preparation
Committee Selection Committee = Advisor + at least 2 more faculty members Selected by: You and Advisor • Select: • Those who know you • Those who know the field When: as early as possible
Three weeks ahead of time After thesis is complete Scheduling Defense Done with thesis Schedule defense around here
You show props slides Alex’s rules For 1 hour talk: • First set : 24 hours • Second set:12 hours • Third set : 6 hours You speak Talk Preparation • Think ... • Memorize first 2-5 mins • Practice, practice, practice
Alex’s rules For 1 hour talk: • First set : 24 hours • Second set:12 hours • Third set : 6 hours Talk Preparation First rehearsal with advisor 24-48 hours Second rehearsal with advisor 24-48 hours Defense
Logistics • Committee Selection • Defense Scheduling • Talk Preparation
We will talk about... • Logistics of M.S. Defense • Structure of Presentation • Presentation Style • Delivery • Slides
Presentation Outline • Title Slide: «backstory» • Teaser • Outline • Introduction/Motivation • Problem • Background • Solution • Implementation • Validation • Related work • Future work and conclusions 7 – 12 minutes 5 – 20(!) minutes 10 - 25 minutes 5 - 10 minutes 3 - 5 minutes
Direct Extraction of Normal Maps from Volume Data Title Thesis mention Master’s Thesis Advisor By Mark Barry Name Department Date February 2007 University
Management of Concurrent XML using Distributed DOM Karthikeyan Sethuramasubbu Advisor: Dr. Alexander Dekhtyar Department of Computer Science University of Kentucky
Building An Operational Data Store For A Direct Marketing Application System Chad Smith March, 2009 Department of Computer Science California Polytechnic State University, SLO
Title Name Advisor Department Thesis mention Date Who you are What you do How you came across this project ... a smooth transition to next slide... Title Slide & Backstory Slide Speak
Distributed DOM Processor EXPath Processor … DOM DOM DOM Distributed DOM DOM Parser … XML XML XML Distributed XML Document Karthikeyan S. Multi-hierarchical XML
Slide(s) before Outline One-three slides screen shots output (e.g. In graphics) architecture diagram «best» experimental data Quick visual summary of your thesis 30-second version of your thesis talk Teaser (Optional) Slides Speak • Show your contribution right away Why • Your Intro/Background part is long (15+ mins) When
Sravanthi Vadlamudi Project Goal Developed front-end for an automated requirements tracing tool. RETRO : REquirements TRacing On target
Special DBMS Query Query Processor Processor RDBMS Persistent support GODDAG XML (TEI) JITTS Data Management Framework User Editor Tools DB Driver DB Driver In-memory data structure Extended Extended XPath XQuery Concurrent Parser Driver … XML XML XML Driver Distributed XML Document BUVH Driver Emil Iacob Other representations
Outline • Introduction • Contributions • Previous Work • Initial Exploration • Dual Contouring With Normal Map Extraction • Results • Conclusion and Future Work Mark Barry
List of key «milestones» in talk VERY LITTLE! Outline Slide Speak • Use throughout the talk to keep track of where you are
Presentation Outline • Title Slide: «backstory» • Teaser • Outline • Introduction/Motivation • Problem • Background • Solution • Implementation • Validation • Related work • Future work and conclusions
Introduction/Motivation Your Goals • Explain the subject area • Motivate your problem • State your contributions 5-10 minutes By minute 10 of the talk your contribution(s) MUST be stated/described
Introduction (cont’d) My Contributions • Signature files • Abstraction • Storage requirements • Search space • Network traffic • Backend load sharing • Cooperative I.S. daemon • Transparency • Update independence • Query manager • Building SQL statements • Query shipment decisions Saad Ijad
Contributions • Direct extraction of low-resolution meshes with normal maps from volume data • One integrated step • Excellent visual results • Fast • Benefits: • Shortcuts the current multi-step process • High-resolution mesh never generated • No extra high- to low-resolution simplification process • Efficient “search” generating normal maps Mark Barry
Problem Definition • May be fully covered in Introduction • May be fully covered in Background • May need to be formally stated separately Formal Problem statement must be found in your talk
Mark Barry Introduction • Problem: • High-resolution meshes = slow to render • Use low-resolution meshes • Fast to render • Still look good One of a number of slides Speak • Articulate the problem • Use stress, inflection
Background Committee members must understand what your work is about
Background Non-Functional Requirements • (Relatively) short • Explain all necessary things • Sufficient to explain/introduce/define your problem • Should assume • General CS knowledge within curriculum • No special topic knowledge
What is XML? Attribute name Attribute value <studentid=“123456”> <firstname>Karthikeyan</firstname> <lastname>Sethuramasubbu</lastname> <college>College of Engineering <major>Computer Science</major> </college> </student> Markup content XML schema to Validate XML <!ELEMENT Student (firstname, lastname, college) <!ELEMENT college (#PCDATA | major)*> <!ATTLIST Student id ID #REQUIRED> <!ELEMENT firstname #PCDATA> Karthikeyan S.
Document Object Model (DOM) root <student> element node <firstname> <lastname> id=“123456” <college> XXX YYY <major> attribute node College of Engineering Computer Science Text node Karthikeyan S.
<student> <firstname> <lastname> id=“123456” <college> XXX <major> YYY College of Engineering Computer Science Path Expressions Find the major of the student: student college major /student/college/major is called the path expression Karthikeyan S.
XPath – To access data from XML XPathExpression:= step1/step2/step3/……../stepn stepi := axis :: node-test Predicate* Predicate := [expression] Location step Example: / child ::college [position()=1] / descendant::* predicate Node-test axis Karthikeyan S.
<student> <firstname> <lastname> id=“123456” <college> XXX <major> YYY College of Engineering Computer Science XPath • Took about 10 mins • Introduced 2-3 weeks worth of course material context node • XPath Axes • child • descendant • ancestor • parent • preceding • following • attribute child Context Node : current node in the tree Karthikeyan S.
Presentation Outline • Title Slide: «backstory» • Teaser • Outline • Introduction/Motivation • Problem • Background • Solution • Implementation • Validation • Related work • Future work and conclusions
Solution and Implementation Your time to shine!
Solution and Implementation DO: Think about it... Come up with a narrative Concentrate on ideas Explain DON’T: Get bogged in minutia Jump from point to point Leave cruicial pieces out
Solution and Implementation Remember: Highlight that this is your work! Formal description of your work is called thesis Presentation = high level description You get (at most) one chance to go technical Use it wisely A picture is worth a thousand words
Specific «things» • Definitions • Example/Illustration • Formal statement
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