11-631: Data Science Seminar - Syllabus

Course Learning Outcomes

The main learning objectives of the course are for students to (a) demonstrate a basic understanding of the Data Science literature (via sample application areas, associated publication venues, and writing styles), (b) apply this understanding to specific publications (by writing and justifying academic evaluations of the work), (c) report on a Data Science publication in a comprehensive, collaborative presentation of a given publication and its related works, (d) defend and criticize, via relevant statements, questions and form-based evaluation, reports, and presentations on Data Science publications while participating in constructive discussion about such presentations, and (e) able to critically analyze and synthesize Data Science literature individually from the lens of a specialist role and collaboratively in a group.

All of these outcomes are essential preparation for the subsequent MCDS capstone course sequence (11-634 Capstone Planning Seminar, 11-632 Data Science Capstone, and 11-635 Data Science Capstone Research).

Time & Location

Section A: TR 09:30AM - 10:50AM, BH A36

Section B: TR 11:00AM - 12:20PM, GHC 4307

Course Format

In-Person. The course opens with an initial overview of the Data Science literature and tutorials on how to analyze and critique Data Science publications. The course also provides tutorials on preparing and presenting reviews of Data Science publications and related literature.

Course Organization

The bulk of the course will consist of paper discussion sessions as well as associated presentations and reviews of related works. The deliverables expected from each student are:

1. Play a role in a student team to present an analysis and critique of an assigned paper.
2. Written summaries of the assigned paper when not presenting.
3. Prepared questions and commentaries for the assigned paper to facilitate classroom discussion.
4. Comparative analyses of base papers and surprise papers.
5. A written literature survey on related work.
6. A constructive review of a capstone project.

The course is sectioned into two parts, parts I and II. Part I of the course consists of group presentations and paper discussion sessions in which students are divided into groups to present the assigned reading for that session while other students submit a paper summary for it. Part II of the course consists of three surprise paper sessions, a literature survey assignment, and a capstone project review.

Part I

Presentations

In the first half of the course, each class session involves reading, presenting, critiquing, and discussing one assigned paper. Before each session, all students are required to read the paper. One team of students are responsible for presenting the paper. Each student in the presenting team is assigned a specialist role (details below) which guides the critiquing approach to the paper. All other students are required to submit a summary of one of the two assigned papers for that week.

The class session begins with a presentation, after which the class breaks into smaller discussion groups. Each presenter is responsible for generating a discussion question, and the class is divided into groups based on these questions for more targeted discussions.

Discussions:

Discussion questions come from the people who presented that day. While each role comes up with their own discussion question, please make sure that the questions are different enough.

Note: please consolidate all the discussion questions (one per role) into one slide that you will keep up at the end of the presentation.

We will break up into groups, one group per discussion question, for about 15minutes / 50% of the time remaining before the end of lecture.

One member of each discussion group will have to take notes.

Each member will fill out the Audience question form available on Canvas.

Note: people who presented that day do not have to fill out the form.

Then, we will have a full-class discussion, where one member from each group (note-taker or someone else) will summarize the main talking points that were brought up during the group discussion. (remaining 15 minutes)

Grace day policy: Each student is granted one grace day throughout Part I of the course. A grace day is a day that you notify us in advance that you will not be presented for the class. This is the day that you will not be selected to present in a team nor be chosen as one of the reviewers of the presentations. This grace day is only allowed once. Any additional absence from the course throughout Part I of the course will result in a zero grade should you be randomly selected to present and/or on the additional absence day.

Specialist roles

Each student in a team is assigned a role to play to critique a paper. Each role is of equal importance. Details and suggested preparations for each role are detailed below. Students are encouraged to read through each role and request clarification if needed. To foster individuality and diverse student backgrounds, students are offered to give their preferences to play each role. However, the ultimate decision of assigning roles belongs to the instructor. It is plausible that students are not assigned their desired roles. If this is the case, students are encouraged to take this opportunity to step outside of their comfort zone and discover their potential. It is noted that not all roles would be assigned for all papers. Roles are assigned to a paper based on its suitability to the context and content of the paper. It is also noted that depending on the number of students in a course session (sessions A and B), one student might present multiple times. If this is the case, the student would be assigned to a different paper, team, and role each time they are presenting.

For more details on the descriptions of each specialist role, please see Specialist Role Descriptions.

Paper summaries

When a student is not in a presenting group for a given class session, this student must submit a summary of the assigned paper and a discussion question for the presenters regarding the paper, presentation, or individual role. We provide a guided questionnaire for students to complete the paper summary. Our goal is to have deep and collaborative discussions on the week’s topics. To do so, it is important that all students are well-prepared for each class. Group presentations are followed by a discussion session monitored by the instructor. To ensure that all students are prepared for the discussions, the instructor will call on students at random to ask the prepared question, comment on the paper or offer commentary to the presenters. Although we recognize that this approach may induce some level of stress in students, it is our instructional philosophy that it is alright to offer incorrect answers, uncomfortable with random chance, and afraid of asking silly questions. Only by doing so do you grow. In short, it’s okay not to know; it’s not okay not to have tried.

Extra credit: ChatGPT red-teaming

ChatGPT red-teaming question:

Extra credit: Try asking ChatGPT/other AI platforms some questions related to the paper or its general topic, and assess the output’s correctness. Your goal is two-fold: (1) find an input question / prompt that will lead ChatGPT to produce something incorrect, and (2) explain what about the output is incorrect, and hypothesize why ChatGPT might have gotten it wrong.

You will get more points the more creative your input prompt/question is, and the better your explanation is for why it got it wrong.

Part II

The second half of the course consists of self-nominated paper presentations, guest speaker presentations, a literature survey, and a capstone project review.

Phase II Presentations

Each week, there will be 8 presentations on different papers, with 4 on Tuesday and 4 on Thursday. On Tuesdays, two of the four papers will require a comparative summary to prepare for a survey literature assignment at the semester’s end. Students must submit a specific, critical question for at least two of the four presentations each day, avoiding shallow inquiries. Students are encouraged to nominate peer-reviewed, published papers between 6-15 pages long, excluding surveys or position papers. Nominating a paper earns a point, though students are not guaranteed to present their nominated paper, but preferences will be considered.

Literature survey

Each student chooses any paper covered in the course for which they will write and submit a detailed literature survey. It is recommended that students start exploring their topic of interest earlier in the semester through the presentation and/or surprise paper sessions to headstart their literature survey process. It is required that each student has the survey document proofread and revised in collaboration with the Global Communications Center before submission for grading.

Capstone project review

Finally, during the last two weeks of class, students will attend at least one final second-year capstone presentation and review one draft capstone report written by a second-year MCDS student team.

Attendance Policy

This course will be held in person. You are responsible for completing the work assigned and seeking clarification as needed. Late work is generally not accepted without prior arrangement or proper justification.

Assessment

The course grade will be based on the following:

• Paper summary (complete when not presenting in a group): 25%
• Presentation discussion participation: 5%
• Group presentation (individual grade of fulfilling the assigned role in the group): 25%
• Paper comparative analysis: 15%
• Phase II Paper Presentation: 5%
• Practice literature review: 5%
• Literature review: 15%
• Capstone report review (provide constructive feedback to an 11-632 team capstone report): 2.5%
• Capstone final presentation review (provide constructive feedback to an 11-632 team capstone final presentation): 2.5%
• ChatGPT Red-teaming: 3%
• End-of-course survey (bonus 2% for completing the course survey for feedback and improvement): 2%

AIV Policy

Collaboration policy: For preparing each presentation, you share work with your assigned teammates and no other students. In particular, when your paper is also being presented by a different team(s) in the same or different section of this course, you may not collaborate or share work with students in this other team(s). Similarly, all other deliverables in the course are individual assignments. You are required to synthesize, research literature, and produce the document by yourself without working with your classmates. This course is intended to give you experience in autonomous research, so trying to delegate or shortcut preparation is a wasted learning opportunity. Acting against this rule will be considered an academic integrity violation and lead to reprimands, including possible dismissal from the program (see the MCDS Handbook).

For your paper summaries and comparative analyses, you must produce your own work. You may discuss the papers with classmates, but the submissions must be your own work. Do not use the internet or other sources to find prior analyses to complete your assignments.

Plagiarism and AIV policy: The presentation and related work survey emphasize a literature search and compare/contrast to other material. All material you find and use in any of the course deliverables must be explicitly and correctly referenced/cited. Notes:

• Directly copying text from the paper being summarized, and/or from author websites or other sources, without using “quotation marks” around everything that is a direct quote, followed by a reference to the source being quoted, is plagiarism.
• Text and/or slides copied directly from other sources without attribution in presentations is also considered plagiarism.

Here are some resources for learning what is and isn’t plagiarism:

• Paraphrasing and Direct Quotations
• Paraphrasing and Plagiarism
• Paraphrasing Spectrum