two problem sets,
a reaction paper, and
a final project (which in turn will begin with a short roadmap).

Problem Sets

The first problem set will be handed out on Sep. 4 and due on Sep. 18. The second problem set will be handed out on Sep. 18 and due on Oct. 2. You may discuss the problem sets with other students in the class, but since the goal is to practice skills, the actual writing up of your solutions must be done individually. (In particular, this means that your solution should not word-for-word resemble another student's.)

Reaction Papers

As a way to get everyone thinking about the research issues underlying the course, and to prepare for the project, there will be a short reaction paper of roughly 5 pages in length. You can work in groups of up to 4 people on the paper. The reaction is a good way to work on formulating a topic for the course project, and your group for the reaction paper can become your group for the project (which also can be done in groups of 4).

The reaction papers will be due on November 4.

The reaction paper should be structured as follows. First, you should read at least two closely related papers relevant to a particular section of the course, at least one of which is not linked from the course home page. You should then write approximately 5 pages in which you address the following points:

What is main technical content of the papers?
Why is it interesting in relation to the corresponding section of the course?
What are the weaknesses of the papers, and how could they be improved?
What are some promising further research questions in the direction of the papers, and how could they be pursued?

Reaction papers should not just be summaries of the papers you read; most of your text should be focused on synthesis of the underlying ideas, and your own perspective on the papers. To make this concrete, you should make sure that you devote much of the content to the last bullet above: promising directions for further research. In particular, the reaction paper should contain at least some amount of each of the following types of content:

A proposal for a model or algorithm -- potentially extending, varying, or improving something in the papers you've read -- together with some mathematical analysis of it.
A test of a model or algorithm (either your own or something from one of the papers) on a dataset or on simulated data.

Project

The first step in the project will be a short roadmap document. This is meant just to be a brief description of what you're intending for the project -- about a page in length, with a discussion of relevant background work and tentative plans for how you'll proceed. If your project is based on your reaction paper, then you don't need to repeat things you've said in the reaction paper -- it's enough to describe how you're planning to turn the ideas from the reaction paper into a larger project.

The roadmap document will be due November 13.

The basic genres of project are the following:

An experimental evaluation of an algorithm, model, or measure on an interesting dataset. The papers on the course home page suggest some possible domains in which to think about such experiments; but you can also assemble your own data.
A theoretical project that considers an algorithm, model, or measure in the area of some course topic, and derives rigorous results about it.
An extended, critical survey of one the course topics, going into significant depth and offering a novel perspective on the area.

The result of the project will typically be a 10-15 page paper, describing the approach, the results, and the related work. The references on the course home page serve as examples of what such papers tend to look like; of course, the overall form of the paper will depend on the nature of the project.

In addition to the write-up of the project, there will be a presentation of the projects in class by each group. The presentations will take place during the final three classes of the semester, on December 2, 4, and 9. The presentations will be very short in format, and based on slides (a maximum of two slides per presentation) that each group should submit in advance by November 25.

The exact time slots for the presentations during these three classes will be worked out later in the semester. Since the presentations will happen before the final write-up of the project is due, you can view these as short progress reports on the project, previewing the work done so far, rather than presentations on the full completed project.

The final write-up of the project will be due on a date during the final exam period, chosen by the university's central scheduling process. (The university's process gives them the choice of final project due dates, rather than allowing individual classes to choose these dates.) This date will be announced later in the semester when it is available.

Academic Integrity and Plagiarism

You are expected to maintain the utmost level of academic integrity in the course. Any violation of the code of academic integrity will be penalized severely, and can lead to failing the course.

Plagiarism deserves special mention here. Including text from other sources in a reaction paper or project write-up without quoting it and providing a proper citation constitutes plagiarism. This is a serious form of academic misconduct, and instances of plagiarism will very likely result in failing the course. Plagiarism is not just word-for-word copying; it also includes cases in which no full sentence has been copied from the original source, but large amounts of text have been closely paraphrased without proper attribution.

You are welcome to use generative AI tools like ChatGPT for research, used in a way similar to how you might use a search engine to learn more about a topic. But you may not submit output from one of these tools either verbatim or in closely paraphrased form as part of a problem set or a component of the project; doing so is a violation of the academic integrity policy for the course.