phd course work ppt

PhD Dissertation Defense Slides Design: Start

• Tips for designing the slides
• Presentation checklist
• Example slides
• Additional Resources

Purpose of the Guide

This guide was created to help ph.d. students in engineering fields to design dissertation defense presentations. the guide provides 1) tips on how to effectively communicate research, and 2) full presentation examples from ph.d. graduates. the tips on designing effective slides are not restricted to dissertation defense presentations; they can be used in designing other types of presentations such as conference talks, qualification and proposal exams, and technical seminars., the tips and examples are used to help students to design effective presentation. the technical contents in all examples are subject to copyright, please do not replicate. , if you need help in designing your presentation, please contact julie chen ([email protected]) for individual consultation. .

• Example Slides Repository
• Defense slides examples Link to examples dissertation defense slides.

Useful Links

• CIT Thesis and dissertation standards
• Dissertations and Theses @ Carnegie Mellon This link opens in a new window Covers 1920-present. Full text of some dissertations may be available 1997-present. Citations and abstracts of dissertations and theses CMU graduate students have published through UMI Dissertation Publishing. In addition to citations and abstracts, the service provides free access to 24 page previews and the full text in PDF format, when available. In most cases, this will be works published in 1997 forward.
• Communicate your research data Data visualization is very important in communicating your data effectively. Check out these do's and don'ts for designing figures.

Power Point Template and other Resources

• CEE Powerpoint Slide Presentation Template 1
• CEE Powerpoint Slide Presentation Template 2

Source: CEE Department Resources https://www.cmu.edu/cee/resources/index.html

• CMU Powerpoint Slide Template

Source: CMU Marketing and Communications

https://www.cmu.edu/marcom/brand-standards/downloads/index.html

• Use of CMU logos, marks, and Unitmarks

Email me for questions and schedule an appointment

Top 7 tips for your defense presentation

1. show why your study is important, remember, your audience is your committee members, researchers in other fields, and even the general public. you want to convince all of them why you deserve a ph.d. degree. you need to talk about why your study is important to the world. in the engineering field, you also need to talk about how your study is useful. try to discuss why current practice is problematic or not good enough, what needs to be solved, and what the potential benefits will be. , see how dr. posen and dr. malings explained the importance of their studies..

• Carl Malings Defense Slides with Notes
• I. Daniel Posen Defense Slides with Notes

2. Emphasize YOUR contribution 

Having a ph.d. means that you have made some novel contributions to the grand field. this is about you and your research. you need to keep emphasizing your contributions throughout your presentation. after talking about what needs to be solved, try to focus on emphasizing the novelty of your work. what problems can be solved using your research outcomes what breakthroughs have you made to the field why are your methods and outcomes outstanding you need to incorporate answers to these questions in your presentation. , be clear what your contributions are in the introduction section; separate what was done by others and what was done by you. , 3. connect your projects into a whole piece of work, you might have been doing multiple projects that are not strongly connected. to figure out how to connect them into a whole piece, use visualizations such as flow charts to convince your audience. the two slides below are two examples. in the first slide, which was presented in the introduction section, the presenter used a flow diagram to show the connection between the three projects. in the second slide, the presenter used key figures and a unique color for each project to show the connection..

• Xiaoju Chen Defense Slides with Notes

4. Tell a good story 

The committee members do not necessarily have the same background knowledge as you. plus, there could be researchers from other fields and even the general public in the room. you want to make sure all of your audience can understand as much as possible. focus on the big picture rather than technical details; make sure you use simple language to explain your methods and results. your committee has read your dissertation before your defense, but others have not. , dr. cook and dr. velibeyoglu did a good job explaining their research to everyone. the introduction sessions in their presentations are well designed for this purpose. .

• Laren M. Cook Defense Slides with Notes
• Irem Velibeyoglu Defense with Notes

5. Transition, transition, transition

Use transition slides to connect projects , it's a long presentation with different research projects. you want to use some sort of transition to remind your audience what you have been talking about and what is next. you may use a slide that is designed for this purpose throughout your presentation. , below are two examples. these slides were presented after the introduction section. the presenters used the same slides and highlighted the items for project one to indicate that they were moving on to the first project. throughout the presentation, they used these slides and highlighted different sections to indicate how these projects fit into the whole dissertation. .

You can also use some other indications on your slides, but remember not to make your slides too busy.  Below are two examples. In the first example, the presenter used chapter numbers to indicate what he was talking about. In the second example, the presenter used a progress bar with keywords for each chapter as the indicator. 

Use transition sentences to connect slides 

Remember transition sentences are also important; use them to summarize what you have said and tell your audience what they will expect next. if you keep forgetting the transition sentence, write a note on your presentation. you can either write down a full sentence of what you want to say or some keywords., 6. be brief, put details in backup slides , you won't have time to explain all of the details. if your defense presentation is scheduled for 45 minutes, you can only spend around 10 minutes for each project - that's shorter than a normal research conference presentation focus on the big picture and leave details behind. you can put the details in your backup slides, so you might find them useful when your committee (and other members of the audience) ask questions regarding these details., 7. show your presentation to your advisor and colleagues, make sure to ask your advisor(s) for their comments. they might have a different view on what should be emphasized and what should be elaborated. , you also want to practice at least once in front of your colleagues. they can be your lab mates, people who work in your research group, and/or your friends. they do not have to be experts in your field. ask them to give you some feedback - their comments can be extremely helpful to improve your presentation. , below are some other tips and resources to design your defense presentation. .

• Tips for designing your defense presentation

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• How to Give a Presentation as A PhD Student
• Doing a PhD

At some point in their career, most researchers will be asked to give a presentation at a conference. These podium talks can be a brilliant way to promote yourself as an academic and also to disseminate your work to a wider audience. Standing up and giving a talk to a large audience can feel scary, particularly if you feel under-prepared. However, with enough preparation and practice this could become an enjoyable experience and maybe even one you look forward to!

Here are a few tips from us to help you with preparation for your next (or first) presentation.

Keep It Simple

Typically, any talk you give will be accompanied by a series of slides. The key thing to remember here is ‘less is more’. Keep the message on each slide very clear with minimal text and ideally an image on every slide. Remember that these slides are designed to support what you’re talking about rather than being a script to read from.

Have a Structure

Prepare your slides with a logical structure in mind. If you’re presenting an experimental study, this may be as simple as: Introduction, Methods, Results, Discussion and Conclusion. Think about what one thing you want the audience to take away from your talk – what’s the take-home message? A common mantra that’s used by many researchers is to (1) tell the audience what you’re going to tell them, (2) tell them and (3) tell them what you’ve told them. Simple!

Practice, Practice, Practice

There’s really no better substitute for building confidence in giving your talk than by practising it as much as you can. That’s not to say that you should learn it word for word and simply repeat from memory, but it should feel very natural by the time you come to present. A great idea is to write out a script of what you’d like to say and then amend it as you read it out aloud – you’ll find the way you structure your sentences or the words you use may differ slightly as you present out loud versus just writing down in text form.

Practice by yourself as you’re developing your thoughts and the flow of your talk but make sure you also practice in front of others, such as those in your lab, your supervisor and your friends and family.

It’s All in The Delivery

You know what you’re going to say, make sure you also practice how you’re going to say it. Make a conscious effort to speak a little (emphasis on the little!) slower than you normally would. Don’t forget to breathe and be happy – this is a chance to show off the great work that you’ve been doing. Speak clearly and not too quietly and try to connect with your audience – think of this as a discussion you’re having with them about your research. If you can, try to arrive at the presentation hall before others arrive so you have an opportunity to stand at the podium and visualise yourself giving your talk – this way when you go up to present, the environment will be a little more familiar to you. Enjoy it!

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Basic Customizable PhD Dissertation

Basic customizable phd dissertation presentation, free google slides theme, powerpoint template, and canva presentation template.

Being formal and creative can be your main highlights when presenting your phD if you use this modern presentation template for your defense. The design is like a canvas you can use to give life to your investigation and your results because it’s completely editable. Adapt the slides to the requirements of your research and your speech and let the elegance of its design surprise the committee and get you the best mark!

Features of this template

• 100% editable and easy to modify
• 28 different slides to impress your audience
• Contains easy-to-edit graphics such as graphs, maps, tables, timelines and mockups
• Available in different colors
• Includes 500+ icons and Flaticon’s extension for customizing your slides
• Designed to be used in Google Slides, Canva, and Microsoft PowerPoint
• 16:9 widescreen format suitable for all types of screens
• Includes information about fonts, colors, and credits of the free resources used

How can I use the template?

Am I free to use the templates?

How to attribute?

Combines with:

This template can be combined with this other one to create the perfect presentation:

Attribution required If you are a free user, you must attribute Slidesgo by keeping the slide where the credits appear. How to attribute?

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Research Tips and Infromation

Ph.D. Proposal Presentation Template

A Ph.D. proposal presentation template is a pre-designed set of slides that can be used as a starting point for creating a presentation for your Ph.D. proposal Registration. It includes a series of suggested slides, which you can customize to your specific needs. This template can be used by Ph.D. candidates from various fields who are preparing for their Ph.D. registration.

Slide 1: Title Slide

• Title of the work
• Candidate’s name and affiliation
• Supervisor’s name and affiliation

Slide 2: Introduction

• Briefly introduce the topic
• Explain why the topic is important and relevant
• Provide a brief overview of what the presentation will cover

Slide 3: Literature Review

• Summarize the key findings of relevant literature
• Identify gaps and limitations in the existing research
• Explain how your work will contribute to filling these gaps

Slide 4: Motivation and Research Problem

• Explain the motivation behind your work
• Clearly state the research problem you are addressing

Slide 5: Research Question and Objectives

• State your research question
• Clearly articulate your research objectives

Slide 6: Study Design and Methods

• Explain your study design and why you chose it
• Describe your data collection methods and measures

Slide 7: Predicted Outcomes

• Present your predicted outcomes if everything goes according to plan
• Explain how these outcomes will contribute to the field

Slide 8: Resources

• Identify the resources you will need to complete your work
• Explain how you will obtain these resources

Slide 9: Societal Impact

• Describe the potential societal impact of your work
• Explain how your work will benefit society

Slide 10: Gantt Chart

• Present a Gantt chart representing the timetable of the activities planned
• Explain how you will manage your time to complete your work on schedule

Slide 11: Potential Challenges

• Identify potential challenges you may encounter during your research
• Explain how you plan to address these challenges

Slide 12: Conclusion

• Summarize the key points of your presentation
• Conclude by emphasizing the significance of your work and its potential impact

Slide 13: Questions

• Encourage the audience to ask questions
• Thank the audience for their attention

Remember to keep your presentation simple, well-structured, and effective. Use clear and concise language, and make sure your presentation is visually engaging. Good luck with your PhD proposal presentation!

• Title of the work: “A Comparative Study of Deep Learning Techniques for Image Recognition in Medical Imaging”
• Candidate’s name and affiliation: Sarah Johnson, Department of Computer Science, University of ABC
• Supervisor’s name and affiliation: Dr. Robert Lee, Department of Computer Science, University of ABC

In this slide, you have to include the title of your work, your name and affiliation as the PhD candidate, and your supervisor’s name and affiliation. The title should be concise and descriptive, conveying the essence of your research.

• Briefly introduce the topic: Deep Learning Techniques for Image Recognition in Medical Imaging
• Explain why the topic is important and relevant: Accurate and efficient image recognition in medical imaging is crucial for diagnosis, treatment planning, and monitoring of patient progress. However, the current state-of-the-art algorithms still have limitations in handling the complexities of medical images, such as noise, variation in size and shape, and variation in imaging protocols.
• Provide a brief overview of what the presentation will cover: In this presentation, I will introduce my proposed research on a comparative study of deep learning techniques for image recognition in medical imaging. I will briefly cover the literature review, the research problem and goals, the study design, and the expected outcomes of the research.

In this slide, you have to provide an introduction to your research topic, explaining its importance and relevance in the field. The introduction should set the context for your research and explain why it matters.

• Summarize the key findings of relevant literature: Previous research has shown that deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have achieved state-of-the-art results in various image recognition tasks, including medical image recognition. However, the performance of these techniques can be affected by factors such as the size and complexity of the dataset, the selection of hyperparameters, and the choice of architecture.
• Identify gaps and limitations in the existing research: While previous studies have compared the performance of different deep learning techniques for image recognition in general, there is a lack of research that compares and evaluates the performance of these techniques specifically in medical imaging. Additionally, there is a need for research that investigates the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of deep learning models in medical image recognition tasks.
• Explain how your work will contribute to filling these gaps: The proposed research aims to contribute to filling these gaps by conducting a comparative study of various deep learning techniques for image recognition in medical imaging. The study will also investigate the effectiveness of transfer learning, data augmentation, and other techniques for improving the performance of these techniques in medical image recognition tasks. The results of this study will provide valuable insights into the strengths and limitations of different deep-learning techniques in medical imaging, and help inform the development of more accurate and efficient algorithms in the future.

In this slide, you have to summarize the key findings of relevant literature in your research area, identify gaps and limitations in the existing research, and explain how your work will contribute to filling these gaps.

In this format, the information is organized into three sections: key findings, gaps and limitations, and contribution of proposed work. Each section is presented as a bullet point, with the main idea in bold, followed by a brief explanation. This format can be useful for presenting information in a clear and concise manner, while still providing enough detail to convey the main points.

In this format, the motivation and research problem are presented as two separate sections, with each section consisting of bullet points. The motivation section explains why the topic is important and why the proposed research is needed, while the research problem section clearly states the specific questions that the research will address. This format can help ensure that the motivation and research problem are clearly articulated and easy to understand.

In this format, the research question and research objectives are presented as two separate sections, with each section consisting of bullet points. The research question clearly states the specific problem that the research will address, while the research objectives explain the specific goals that the research aims to achieve in order to answer the research question. This format can help ensure that the research question and objectives are clearly articulated and easy to understand.

In this format, the study design and data collection methods are presented as two separate sections, with each section consisting of bullet points. The study design section provides an overview of the design of the study, including the specific groups being compared and the methods used to control for confounding factors. The data collection methods section describes the datasets and measures being used, as well as the specific methods being employed to train and test the deep learning models. This format can help ensure that the study design and methods are clearly explained and easy to understand.

In this format, the predicted outcomes are presented as bullet points, along with an explanation of how they will contribute to the field. The predicted outcomes are based on the study design and methods described in previous slides and can help to demonstrate the potential impact of the proposed research.

This slide presents the resources needed to complete the work, along with an explanation of how these resources will be obtained. This can help to demonstrate that the necessary resources have been identified and that a plan is in place to obtain them.

This slide presents the potential societal impact of the work and how it will benefit society. This can help to demonstrate the broader implications and significance of the research.

Gnatt chart representing the timetable of the activities planned

You have to create a Gantt chart to represent the activities that are planned for completing this research work within the given time frame. The time frame can change depending on the Univesity’s stipulated guidelines for full-time and part-time Ph.D. programs.

The chart is divided into five different stages, which are:

• Completion of the Course Work: You need to complete the coursework papers as per University Guidelines. This stage is expected to take 12 months.
• Literature review: In this stage, we will review and analyze the existing literature to identify gaps and limitations in the research. This stage is expected to take 06 months.
• Data collection: In this stage, we will collect the required data by conducting experiments and surveys. This stage is expected to take 06 months.
• Data analysis: In this stage, we will analyze the collected data to draw meaningful insights and conclusions. This stage is expected to take 3 months.
• Model development: In this stage, we will develop the proposed model and implement it. This stage is expected to take 12 months.
• Results and Analysis: In this stage, we will gather the results from various dimensions of the proposed model and analyze them. This stage is expected to take 03 months.
• Writing and submission: In this stage, we will write and submit the final research report and the thesis. This stage is expected to take 06 months.

You have to allocate appropriate time for each stage to complete the work on schedule. You have to keep track of the progress regularly and make necessary adjustments to the plan to ensure the timely completion of the research work.

In this section, you have to discuss some potential challenges which you may encounter during your research and how you plan to address them.

Potential Challenges:

• Access to data: Since we are planning to collect data from several sources, it may be challenging to obtain access to all the necessary data.
• Time constraints: We have a strict timeline to follow, and any delays could affect the overall success of the project.
• Technical difficulties: There is always a risk of encountering technical difficulties during data collection or analysis.

Addressing the Challenges:

• Data access: We will communicate with the relevant authorities and request access to the data needed for our research. We will also explore alternative sources of data if necessary.
• Time constraints: We will break down our research into smaller, more manageable tasks and allocate sufficient time for each. We will also build in extra time in case of unexpected delays.
• Technical difficulties: We will test our data collection and analysis tools thoroughly beforehand to minimize the risk of technical difficulties. We will also have contingency plans in place in case of any issues that may arise.

By identifying potential challenges and having a plan in place to address them, you can ensure that your research progresses smoothly and efficiently.

In conclusion, this presentation has outlined a research proposal for a comparative study of deep learning techniques for image recognition in medical imaging. The key points covered in this presentation are:

• The importance of developing accurate and efficient image recognition techniques for medical imaging, which can assist in the diagnosis and treatment of various medical conditions
• A review of the relevant literature in this field has identified the need for further research to compare the performance of different deep-learning techniques for image recognition in medical imaging
• The research problem, objectives, and research question, aim to address this need by comparing the performance of different deep-learning techniques for image recognition in medical imaging
• The study design and methods, which will involve collecting and analyzing medical imaging data using various deep-learning techniques
• The predicted outcomes of the study, which could contribute to improving the accuracy and efficiency of image recognition in medical imaging
• The resources required to complete the study, including access to medical imaging data and computational resources
• The potential societal impact of the study, which could benefit patients and healthcare providers by improving the accuracy and efficiency of medical imaging
• The timetable of activities, which has been represented in a Gantt chart to ensure that the study is completed on schedule
• The potential challenges that may be encountered during the research, and the strategies that will be used to address these challenges.

Overall, this research proposal has the potential to contribute to the field of medical imaging by providing valuable insights into the performance of different deep-learning techniques for image recognition. By improving the accuracy and efficiency of image recognition in medical imaging, this research could ultimately benefit patients and healthcare providers.

Download the PhD Proposal Presentation Template here:

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Browse Course Material

Course info, instructors.

• Prof. Esther Duflo
• Prof. Benjamin Olken

Departments

As taught in.

• Developmental Economics
• Microeconomics

Learning Resource Types

Development economics, lecture slides.

Session 1: Introduction (PDF - 1.8MB)

Session 2: Poverty Traps: Theory (PDF - 1.0MB)

Session 3: Poverty Traps: Graduation Programs (PDF)

Session 4: Behavioral Development: Introduction (PDF)

Session 5: Behavioral Development: Psychology of Poverty (PDF)

Session 6: Investing in Human Capital: Theory (PDF)

Session 7: Demand for Education (PDF - 1.7MB)

Session 8: Private and Social Returns to Education (PDF - 1.4MB)

Session 9: Supply of Education (PDF - 3.5 MB)

Session 10: Savings (PDF - 1.6MB)

Sessions 11–12: Demand for Health  (PDF - 1.0MB)

Session 13: Family (PDF - 1.0MB)

Session 14: Supply of Healthcare (PDF - 1.0MB / Gender and the Family (PDF - 1.7MB)

Session 15: Gender and the Labor Market (PDF)

Session 16: Land Markets (Part 1) (PDF)

Session 17: Land Markets (Part 2) (PDF)

Session 18: Land Markets (Part 3) (PDF) / Public Finance (Part 1) (PDF)

Session 19: Public Finance (Part 2) (PDF - 1.1MB)

Session 21: Public Finance 4 (PDF) / Labor (Part 1) (PDF)

Session 22: Labor (Part 2) (PDF)

Session 23: Labor Markets (Part 3) (PDF - 1.2MB)

Session 24: Labor (Part 4) (PDF - 1.1MB) / Credit (Part 1) (PDF)

Session 25: Credit (Part 2) (PDF)

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Qualifying Exam Presentation

Criteria for success.

• Center you and your qualifications as a researcher.
• Articulate why your research is a valuable contribution to your field.
• Demonstrate critical thinking and maturity regarding your methods and analysis approach.
• Engage in an extended productive technical discussion with the faculty audience about your work.

Message and Purpose

The purpose of the doctoral qualifying exam is to demonstrate that you possess the qualities required to complete the PhD. This includes “mastery of the research discipline coupled with ingenuity and skill in identifying and solving unfamiliar problems” as stated in the Graduate Guide (2020-2021 edition) [ http://meche.mit.edu/sites/default/files/MechE_Grad_Guide.pdf ]. This CommKit article focuses on the presentation portion of the Research Qualifying Exam (RQE) though many of the concepts can be applied to the oral subject exams as well.

You are an essential element of your research talk. Unlike many academic talks you may have given before, the focus extends beyond your results and is more about your capacity as a researcher. In this article we will discuss how you can successfully scope, create and deliver a talk that communicates your abilities.

The audience will be professors in your chosen subject area. They will be familiar with the broader field but not your specific problem. Use best practices of technical communication when introducing your research including: define technical jargon specific to your research, use analogies to explain unfamiliar topics. 

Choosing your topic

Present research that will let you tell a complete story about your qualifications. This may be work from your masters degree at MIT or another school, or it can be preliminary work towards your PhD. If you are in doubt, ask your advisor or other professors in your potential RQE subject if they believe your work is a good fit. This will help ensure you meet the expectations of your audience and present the best case you can. Since the goal of the RQE presentation is to demonstrate your personal qualifications, it is OK if your presentation does not align with your current research (you have committee meetings for that once you pass Quals!)

Use the ‘hourglass’ concept to structure your RQE presentation: start broad to motivate the problem, narrow to specific details in the middle, expand back out to the work’s significance in your field. Spend enough time in the narrow (detailed) part of the hourglass to demonstrate your aptitude as a researcher. 

Typically, these talks are ~20-30 minutes long with ample time for questions. (Time limits can vary year to year so check the Graduate Guide and make sure you meet the current expectation.) Use your time wisely to create a cohesive, logical presentation that does not overwhelm the audience with superfluous information. It is not a race to see how much you can fit into 30 minutes. Be selective in your figures and language and use appropriate redundancy to guide your research narrative. 

Introducing your research

This will be the most general part of your presentation. Clearly explain why the problem is important, what the potential challenges are, and the potential impacts. 

For the RQE presentation it is often more important to highlight the state of the field than it would be in a presentation to your lab group or at a conference of researchers in your subfield. Do not expect the professors in your audience will be familiar with all the nuances of your subfield, or what gap your work is aiming to fill. By articulating how your work fits into the scientific landscape, you show that: 

• you are familiar with current work, 
• you understand what the challenges are in your chosen approach, and 
• your contributions matter to the field.

This sequence of slides concisely and impactfully presents the top of the hourglass, while also emphasizing the researcher’s contributions early on (slide 6). Slide courtesy of Maanasa Bhaat. Fluid Mechanics RQE, Jan 2021.

Methods and results

Place more weight on methods (and less on results) than a conference-style technical presentation. Be sure to spend time presenting your research design and your rationale for any chosen methods. Your methods should be well reasoned and scientifically sound, but after all, this presentation is about you as the person behind the research.

Whether or not you have results to show, you should be able to explain why your results (will) matter. Why is the problem significant in your field? How are your methods going to provide information that is different from what exists already or fills the knowledge gap you identified? Link your results back to your motivation and problem statement.

Highlight your contributions

Highlight your research contributions from the start of the presentation. A “contribution” could address any part of the stated goal for the RQE, demonstrating your:

“mastery of the research discipline coupled with ingenuity and skill in identifying and solving unfamiliar problems”

While publications, presentations and patents are external signals of your achievements, there may be other examples that meet this goal as well. If you are light on formal academic credentials so far in your research, alternative achievements might include: collaborations you have led with other labs, competitive awards you have received, experimental set-ups that you created or (yet) unpublished results. Be selective with non-traditional achievements, though, as this is a presentation not a resume review.

Get comfortable using the word “I” instead of “we.” Unlike most technical presentations, in the RQE you will be presenting on behalf of yourself only, not your research group. Be truthful about what parts of the research you did not do, but use “I” at every opportunity it is appropriate.

Consider ‘bookending’ your presentation with a single slide summary of your contributions at the start and end. At the start, this allows you to clearly differentiate where previous work ends and your ingenuity begins. For any collaborative efforts, clearly identify what you did. At the end of your presentation, conclude with your goals in mind. It may be useful to have your final slide to reiterate your contributions (instead of thanking the audience or asking for questions). Given that the goal of the RQE is to show your research qualifications, repeating the information as the final slide will complete the narrative you told throughout your presentation.

A final slide showing your contributions lets you highlight publications, patents, and/or awards while also reminding the audience what you have covered and prompting questions. Slide courtesy of Victor Prost. Machine Design RQE, Jan 2018.

The supplemental materials linked at the bottom of this page have additional annotated RQE slides from all areas of the hourglass.

Visual Presentation

See the full MechE CommKit article on Technical Presentations ( https://mitcommlab.mit.edu/meche/commkit/technical-presentation/ ) and Virtual Presentations ( https://mitcommlab.mit.edu/meche/commkit/virtual-presentations/ ) for more details.  This slideshow presentation [ http://www.writing.engr.psu.edu/speaking/rethinking_psu.pdf ] from Pennsylvania State University’s writing center has additional visuals as well.

Improve clarity of your message by…

Providing a clear structure for your presentation

“Visual signposting” and slide consistency will make the information easier to digest. A visual signpost is a way for you to remind your audience what point you are making, and remind them where in the presentation you are. Tools such as a visual outline or progress bar in the slide header/footer can be used for this purpose. Visual outlines (with queue images or diagrams) can also be a good way to reiterate your key contributions!

Throughout your slides, follow a clear format. For example: try to use a consistent slide template and highlight key results with the same color or placement on the slides. These strategies will allow the audience to focus on your message without the distraction of decoding each slide format individually. 

A progress bar keeps your audience anchored in the sequence of your presentation. This outline also calls out four specific areas the researcher will address later. Slide courtesy of Hilary Johnson. Machine Design RQE, May 2018.

Take a look at the supplemental information linked at the bottom of this article for some annotated examples!

Including one ‘claim’ per slide

This claim can often be used as your title. Avoid introducing a concept, method, plot and key result all in one place. Ask yourself what the most important (single sentence) take away is from a given slide, and have the rest of the slide support the claim. Evidence to support the claim should be succinct text or a visual. 

The first slide of this pairing introduces the audience to the context, variables and coordinate systems present within the problem. The results are presented on a second slide and the conclusion has a (literal) ‘big red box’ around it to focus the audience even more. Slide courtesy of Rashed Al-Rashed. Structures RQE, Jan 2018.

Maximizing the signal-to-noise ratio

Many slides can be improved by cutting out visual distractions. Removing text is one way to reduce noise. If you have too many written words, your audience may entirely ignore what you are saying to them! 

The example below is from the CommKit article on Technical Presentations ( https://mitcommlab.mit.edu/meche/commkit/technical-presentation/ ). Notice the elements discussed above as you look over these slides. 

Quite a few elements make this slide pairing successful, including: 1) a single claim is introduced as the title of each slide. 2) Signal to noise is maximised by presenting an expected trend to introduce a concept before presenting ‘messier’ real data. 3) The layout and format are consistent between the first slide (introducing the *type* of data collected) and the second (with messier, real data). 4) The key finding on the second slide is highlighted in red.

Apply these principles to figures too

Figures are a visual way to support the claims, evidence and reasoning you present verbally.

Align your figure message to one of the motivating areas of the RQE: your ability to perform significant research into previously unknown topics. 

While figures in a journal article may include many concepts at once, figures used in a presentation should support your narrative and overall message. A figure can be used to show a gap, a significant achievement, or a new way of thinking. Which purpose does each figure you have included fulfill?

Consider schematic representations

Extraneous details in photographs can distract from the main takeaway of the visual. Consider the signal you are trying to send with a given diagram, and what parts of it may just be noise .

(The metaphor of “signal-to-noise ratio” comes from Jean-luc Doumont’s book Trees, Maps, and Theorems .)

Photographs can show your creativity or expertise in setting up experiments. By contrast, diagrams can emphasise the flow of information (eg power, light, data) and individual components. Comparison courtesy of Jungki Song.

See the full MechE CommKit article on Figure Design here ( https://mitcommlab.mit.edu/meche/commkit/figure-design/ ) 

Oral Delivery

Anticipating and fielding questions.

The question and answer portion of the Qualifying exam presentation is almost as long as the presentation itself. There is no way to know exactly what you will be asked but you can prepare and practice strategies to respond effectively. And remember, detailed questions are a good thing – they mean the audience was interested and paid attention to the details.

Think about your audience

Tailor your talk to the professors you know will be in the room, but don’t go overboard. Do not try to ‘game’ the audience by presenting only what you think certain professors would like to see. You will present yourself best if you present a genuine and comprehensive story about the work you have done. 

However, be prepared for a range of questions in the discussion portion. Think about your research in the context of frameworks and methods used throughout your field as professors may ask you about this. Does Professor X apply machine learning in your domain? You may want to prepare a back up slide with your assumptions or initial conditions for the models you used. Is Professor Y an experimentalist and you presented mainly theory? Maybe anticipate a question on how your research could transfer into experiments. 

Actively listen to questions you are asked

Listen to the whole question before starting to respond. Avoid preemptively flipping through your slide deck while the person is still posing their question as this might cause you to miss what they are really asking.

Check your body language, eye contact, etc. Direct your attention to the person posing the question both physically and with your ears.

Be empathetic and listen for what the questioner is really asking. For example: before answering a detailed question that seems unrelated, consider if you presented your problem formulation clearly enough. Perhaps the questioning is really indicating they missed a more fundamental piece of information in your presentation. Reflecting on and understanding the intent of a question can also be achieved through structuring your responses…

Structuring your responses

Ideally, the question and answer portion of the presentation should flow naturally as a very engaging conversation between you and the professors in the audience. For some people this will come easily, but for others it might be a daunting task in the moment. Framing each response with the four steps outlined here can help you slow down and answer any question with composure and clarity. First, verify that you understand the question topic/intent. Next, pause and think. Consider what you will say before you start rambling without purpose. A shorter, more concise answer will often go further in demonstrating your understanding than a longer answer. Once you respond, follow up with the person who asked the question to confirm you have answered it. Repeat this cycle as often as necessary.

The framework of verifying the question, reflecting before you begin to speak and then responding appropriately will often create a natural dialogue with productive follow up conversation between you and the audience. 

This flow works in many circumstances.

• Clarify the intention of the question.
• Rephrase what was asked in your own words.
• Consider if the question is meant to stretch you beyond the scope of your work, or whether it is to test your depth of knowledge.
• Identify the most important aspects or alternatives.
• Articulate why it is out of scope for your research (if it is).
• Say true things and be honest about your limits.
• Identify the specific area of disagreement: is it a method? A calculated result? An interpretation of your data?
• Think about why they believe it is wrong or could have been done better.
• Present your counter reasoning. 
• Consider and discuss if this could be an alternate path forward in your research.

Questions may come up during your presentation as well. If you think you will answer the professor’s question in a few slides, this framework can still be useful. Acknowledge the question when you are asked but defer it with something like: “I believe I will answer that shortly. Do you mind waiting until then?” Once you think you’ve answered their question, go back and verify that your response was sufficient. They might have a follow up question, or you may need to start the four step cycle of responding again. 

Expect to be asked questions you don’t know the answer to. Practice a graceful and thoughtful way to say you don’t know. In your ‘thinking pause’ decide what tactic you will take in replying: you could reason through something on the spot (this will show you are considering their question), or return to the knowledge gap you identified and why you believe the question is out of scope, or use the question as a springboard to discuss future work. Whatever you choose, do not try to make it seem like you know something you do not. Professors are very good at seeing through this, and that will likely cost you more points than not knowing.  

Delivery should enhance the message

Amplify signal and reduce noise

To make your message come across clearly, stick to a concise “claim, evidence, reason’ structure throughout your presentation. Link new information to previous information verbally. Be mindful to not ‘over talk’ as this may distract your audience from the message you are trying to convey. Don’t put more on your slides than you plan to talk about, this is noise.

Not only what you say, but how you say it

Be aware of your normal speech patterns and how they might change the way your audience receives the message. For example, how many different ways can you say the word “seriously” so that you convey a different message each time? In the context of the RQE presentation, consider the following: 

• Volume and tone that places emphasis on key points 
• Pacing (often slowing down) to give your audience time to digest important points 
• Diction , especially for key technical terms (e.g. from the author, how do you really say ‘ Poiseuille flow’?)
• Inflection to place questions and emphasis where you intend (avoiding persistent upspeak)
• Physical movement can be distracting if overblown. Pacing, talking with your hands, and rocking can be useful ways to handle presentation anxiety, but overdoing any of them may cause your audience to lose focus on your message.

Everyone has a unique presentation style. The more you practice presenting to peers (or CommLab fellows!) the better you will be able to isolate your presentation style from ticks that others may find distracting. 

COVID note: Also take a look at the Virtual Presentations CommKit article ( https://mitcommlab.mit.edu/meche/commkit/virtual-presentations/ )  for specific advice relevant to all virtual presentations. 

Enjoyed what you learned here and want more? Make an appointment with a CommLab Fellow today! Fellows go through training in written, visual, and oral communication and will be able to work with you on any of the topics discussed in this article. 

Resources and Annotated Examples

Roadmap summary examples, visual formatting examples.

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