Massachusetts Institute of Technology 16.412J/6.834J Intelligent Embedded Systems Advanced Lecture Proposal, Warm-Up Completion Team preferences due Friday, March 11th Lecture Proposal due Wednesday, March 16th Objective The purpose of this exercise is for you to plan out your advanced lecture through a proposal. You will be giving your advanced lectures in teams of three (and perhaps two for some, depending on class size). For the advanced lecture, you and your team will select a synergistic set of one to three advanced research methods. Typically the methods should have been published within the last five years. These should be methods for developing cognitive robots that perform some form of reasoning or learning within the sense/act loop. The methods should relate generally to material covered within the course. This is NOT a project or application presentation. Application is covered at the end of the semester. Also note that your advanced lecture need not be related to your final project. This is, however, an ideal opportunity to learn the background algorithms that you will incorporate into your project. Once you have selected a set of methods, you will then explore the relevant background material to understand these methods and their interrelationship deeply. Your team will present these methods clearly and pedagogically through an 80 minute lecture, and in the case of a three person team, will include a demonstration. An additional objective is to learn to develop an understanding of the literature in a collaborative context, through two partners (and in a few cases one partner). Finally, you will also turn your lecture slides into a tutorial, by providing a written dialogue for each slide. This will be posted on the web, and will allow students in future years to benefit from your efforts.During lecture on Monday you summarized the advanced topic you were interested in. In this assignment you will form your team, choose a lecture title, and select your preference for lecture times, sending this information to us by this Friday (March 11th). For next Wednesday (March 16th) you will refine this selection into a concrete team proposal for your lecture. For both parts of this assignment, each team should provide one submission. Advanced Lecture Team Preferences due Friday, March 11th In the next two days, please form your lecture team, select a lecture title, and decide your preference for when you would like to give your advanced lecture. Advanced Lecture Title: Lecturer 1 – Name: email address: Lecturer 2 – Name: email address: Lecturer 3 – Name: email address: Lecture preference: (indicate first, second and third choice): First Pair (March 28, 30): Second Pair (April 6, 11): Third Pair (April 13, 20): Think carefully about when you would like to present your advanced lecture. The earlier you give your lecture, the more time that you will have available to complete your project. Advanced Lecture Proposal due Wednesday, March 16t For the following, please submit a hardcopy of your proposal in class, or to the course secretary. It is essential that you do the planning for your advanced lecture now, so that you will be able to present a high quality lecture starting the week after Spring vacation.Part A List the title of your advanced lecture, the members of your team, and provide a list of the topics covered in your lecture. Part B List one to three papers that you will cover in your 80 minute lecture. Please provide full references for your papers, including a url for each, whenever available. Note that it is very difficult to effectively cover more than two algorithms within an 80 minute lecture. It is generally better to cover less, focusing on both concrete algorithms and examples. Part C Write a brief abstract advertising your lecture. This abstract should be no more than 150 – 200 words. The abstract should highlight the method being presented, the problem it solves, why it is important with respect to creating cognitive robots, what is innovative about the method, and where it has been applied. Part D Provide a list of at least four additional background references for your lecture. These references will provide the rest of the class with pointers to additional material related to your lecture. For each paper, include a full bibliographic reference, a url (if available) and a one or two sentence summary of how that paper is relevant to your lecture topic. Part E Summarize your plan for the division of labor between team members. When considering division of labor, remember that, in addition to presenting the lecture, you will need to annotate each of your lecture slides with a pedagogical explanation, and for three member teams, you will need to assemble a demonstration (see Part F). Part F (For teams of three) If you’ve formed a three person team, then you have the opportunity to complete this pedagogical process, by assembling a demonstration of your advanced lecture. We do not expect you to implement a demonstration of your presented algorithms from scratch; however, for many algorithms, youcan find implementations available on the web that you can use for demonstration. In those cases where a software demonstration is not available, consider other, creative ways for demonstrating the methods that you are teaching. For example, in the past, students have used members of the class to demonstrate the simulation of multi agent algorithms and agent architectures. For this part please describe a demonstration that you plan to provide during your advanced lecture. In addition, please provide references to any software or other materials that you will use.Preparing and Delivering Your Lecture Part A Dry Run One Week Before Your Lecture To ensure that your lecture is polished, we would like each lecture team to give a dry run to another lecture team. The teams for the first two lectures should give dry runs to each other, similar for lectures 3 and 4, and lectures 5 and 6. You should plan to give your dry run roughly a week before giving your advanced lecture. Please assemble your feedback at the time of the dry run. Team Giving Feedback: Each member of the team listening to a dry run should but together detailed written comments. In these comments please include the following: • Describe at least three things that you found positive about the presentation. • Describe at least three areas that you feel need to be
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