Patrice Koehl
Department of Computer Science
Genome Center
Room 4319, Genome Center, GBSF
451 East Health Sciences Drive
University of California
Davis, CA 95616
Phone: (530) 754 5121
koehl@cs.ucdavis.edu




AIX0008: Introduction to Data Science: Summer 2022

Final project: term paper

Your paper is to be based on a topic associated to technology / data science and should include at least one source (paper, article). Here is a list of possible topics / papers. Please note that this list is not meant to be exhaustive: you are free to pick another topic that you like, as long as it is related to ethics and technology / data. I will not give a list of suggested topics so that you can decide what you want to talk about. Again, topics only need to be related to ethics and technology / data. Be careful not to pick a topic that is too broad. I suggest that you discuss your topic with me early on.

The paper should be about 1000 words (about 4-pages). The paper should be written with an intended audience of me and your classmates. Write something that you yourself would want to be given to read.

Your paper should be carefully written: it will be graded for writing quality. Make sure to give full references in the bibliography (eg., author, title, journal, publisher, pages, date; a URL alone is rarely a reference by itself). Include all necessary citations and footnotes. Please number all pages. Follow standard stylistic conventions (any fixed set of conventions you select). I like left-and-right justified text, but this is not an obligation. Use a pleasant-to-read font).

Think, organize, think, and organize. Write and rewrite.


An individual or team project

You will work either alone or in a team of up to two on your project (term paper + oral presentation). Larger teams will not be permitted unless you make a good case for it. Each team will submit one paper and do one presentation. All team members get the same grade.



Due dates

The final version of the paper needs to be turned in on the LMS by the due date.

Deadline for turning in the final version:

Monday July 18, 4pm







Rubrics for grading term paper


The term paper will be graded over a total of 100 pts, with the following rubrics:

  • Overall presentation / spelling / grammar / style / references: 30 pts

    Fits with the requirements (i.e. between 800 and 1200 words 5 pts
    Grammar /spelling (1 pt off for each error detected, until down to 0) 10 pts
    Organization / style 5 pts
    References at the end of document: at least 3, 1 of which need to be reviewed, and published in a scientific journal 10 pts








  • Presentation of the technology/topic and ethical problems: 20 pts

    The technology/topic is presented clearly enough that it can be understood by a non specialist 10 pts
    The ethical questions are clearly outlined 10 pts




  • What the "experts" say: 25 pts

    Covers range of opinions 20 pts
    Depth and breadth of research 5 pts




  • Analysis and thesis: 25 pts

    Analysis of what the "experts" say 15 pts
    Your point of view / own voice 10 pts




Rubrics for grading the oral presentation


The presentation will be graded over a total of 100 pts, with the following rubrics:

  • Attendance to the oral presentations 10 pts



  • Overall presentation / support slides 30 pts

    Clarity and quality of the slides 10 pts
    Slides do not repeat what is said orally 10 pts
    Presentation is smooth 10 pts






  • Presentation of the technology/topic and ethical problems: 30 pts

  • Analysis and thesis: 30 pts


Presentations

Presentations
day time Team Title
Wednesday 16:00 - 16:20 Vivaldy and Ikshan The role of IT
Wednesday 16:20 - 16:40 Alzi and Ratna Netflix and productivity
Wednesday 16:40 - 17:00 Ryan Commercialization of data
Wednesday 17:00 - 17:20 Reuben Facebook and Data
Wednesday 17:30 - 17:50 Sal Military AI
Wednesday 17:50 - 18:10 Alam Technology and Employment
Wednesday 18:10 - 18:30 Alfa and Revin AI and Unemployment
Wednesday 18:30 - 18:50 Shu Xian and Si Min Smart phones for young children
Thursday 16:00 - 16:20 Shu Fei Social Media mederator
Thursday 16:20 - 16:40 Sean 1 AI and crime prediction
Thursday 16:40 - 17:00 Agnes Women in tech
Thursday 17:00 - 17:20 Jasper Ethical contact tracing?
Thursday 17:30 - 17:50 Ca Lin and Sean 2 Target advertising
Thursday 17:50 - 18:10 Joey and Albert Deep fake in advertising
Thursday 18:10 - 18:30 Yukie and Fangbing User privacy and targeted ads
Thursday 18:30 - 18:50 Laurene







  Page last modified 18 July 2022 http://www.cs.ucdavis.edu/~koehl/