1. CSE6339 COMPUTATIONAL JOURNALISM (SPECIAL TOPICS IN ADVANCED DATABASE SYSTEMS) CSE6339, Spring 2015 Department of Computer Science and Engineering, University of Texas at Arlington ©Chengkai Li, 2015 Lecture 1: Introduction

2. Self Introduction  Chengkai Li  cli@uta.edu  http://ranger.uta.edu/~cli http://ranger.uta.edu/~cli  Research interests: big data management and mining Lecture 1: Introduction 2

3. Now it is your turn Lecture 1: Introduction 3

4. Basics  Lectures: Fri, 4-7pm, ERB 670  Instructor: Chengkai Li Office hours: Thu 10:30-12:30pm, ERB 628 Contact: cli [at] uta.edu, (817) 272-0162 (I am not good at checking voice mails.) Lecture 1: Introduction 4

5. Essence  Project-Driven: You will do a significant semester-long project. You are expected to build a prototype system and demo it at the end of the semester.  Required reading:  The reading materials will be chosen based on the project topics that you choose to do.  Materials listed on schedule page. Mostly research papers.  You are required to read the papers before the class. That’s crucial because the lectures will emphasize discussions.  Research course and exploratory by nature:  No Textbook. Most questions we’d like to discuss do not have textbook answers.  The papers are not for giving you instructions on doing your projects.  The projects are not simply implementing something that you are told to implement.  Be curious and be willing to learn, think, explore, and innovate. Lecture 1: Introduction 5

6. Tentative Grading Scheme  Paper Review20%  Paper Presentation10%  Tutorial Presentation10%  Literature Survey Report10%  In-class Discussion 10%  Project Presentation and Demo 20%  Project Paper20% Attendance is mandatory. Missing a few classes may lead to failing grade. No homework, quiz, or exam.  Final Letter Grade: No pre-defined cutoffs. Will be based on bell curve of your performance. Lecture 1: Introduction 6

7. Paper Review 20%  Paper reviews  Students are required to complete the reading assignments before the lecture. Reviews are required for a subset of the papers (marked on schedule page.)  Deadline: 11:59pm, the night before the lecture  Each review should discuss the following. Required length is 250-350 words:  Brief summary of what the paper studies, proposes, and discovers  Bullet points on the paper’s strengths and weakness.  Comments on the paper’s technical ideas  Comments on the paper’s experiment/evaluation Lecture 1: Introduction 7

8. Paper Presentation 10%  After the initial several lectures  Study one paper (sometimes more) in each lecture.  One student will present the paper.  Each student will present one paper in the semester.  Sign-up in blackboard (instructions will be given later).  Presentation slides:  Deadline: 11:59pm, the night before the lecture.  Should be carefully designed.  Cover 80 minutes.  The presentation should be interactive: present the papers, raise questions, and moderate discussions.  The more discussions/debates, the better. Lecture 1: Introduction 8

9. Tutorial Presentation 10%  Present a tutorial on a system or a tool.  Each student will present one tutorial in the semester.  Sign-up in blackboard (instructions will be given later).  Presentation slides:  Deadline: 11:59pm, the night before the lecture.  Should be carefully designed.  Cover 80 minutes.  The presentation should be interactive: present the system/tool, raise questions, and moderate discussions.  The more discussions/debates, the better. Lecture 1: Introduction 9

10. Literature Survey Report 10%  Perform a survey of the literature related to a specific subject  Report:  Deadline: 11:59pm  The survey report should be comprehensive and insightful. Lecture 1: Introduction 10

11. In-class discussion 10%  Attending the class is mandatory.  Students are expected to actively participate in discussion. Lecture 1: Introduction 11

12. Course Project 40% (demo 20% + report 20%)  Be prepared to get hands dirty.  In teams or individually (each student should contribute to a team project evenly).  Several stages:  P1: Project Proposal  P2: Progress Report  P3: Final Report (in the format of a research paper), presentation and demo.  Sample project topics will be provided.  Will be research-type and exploratory.  You are encouraged to propose your own topic. Lecture 1: Introduction 12

13. Blackboard  Announcement  Assignment instruction and files  Submission (we don’t accept email submission or hard-copy)  Presentation and tutorial slides  Reviews  Project deliverables  Grades  Questions, Discussion Group Lecture 1: Introduction 13

14. Deadlines  Everything will be submitted through Blackboard.  Due time: 11:59pm  Late submission: 5-point deduction per hour, till you get 0. 12:01am –5, 1:01am -10, … (The raw score of each assignment is 100. So there is no point to submit it after 19 hours). Lecture 1: Introduction 14

15. Regrading  7 days after we post scores in BlackBoard.  We usually won’t change your review score, since its grading is subjective by nature, unless unfair grading is obvious. Lecture 1: Introduction 15

16. Your Email  Make sure your MavMail works. We will only contact you by your MavMail.  Check it on a daily basis. Lecture 1: Introduction 16

17. Specific to this course  Paper review / literature survey Must be written by yourself. If you use materials from other sources (e.g., Wikipedia, other papers), you must cite the source, at every place that the material is used. Reviews violating the rule constitute plagiarism.  Paper/tutorial presentation: It is ok to use slides that you find elsewhere. Make sure it is high-quality and make sure to acknowledge the source.  Project:  Must be done by yourself.  It is ok to use other libraries and packages. Actually you are encouraged to do so.  If you use source codes from others, you must document it in your report.  The reports should cite various sources when applicable. Lecture 1: Introduction 17

18. Schedule  http://crystal.uta.edu/~cli/cse6339 http://crystal.uta.edu/~cli/cse6339 Lecture 1: Introduction 18

19. Academic Integrity  Violations:  Cheating on test/assignment; Plagiarism; Collusion  What types of discussions are allowed?  You can discuss with fellow students. But you cannot provide solutions to other students. And each student must independently prepare their own answers to homework questions and code their own programs.  Can you refer to external materials?  Yes, but you must explicitly acknowledge the source of information.  Apparently you must do so if you copy sentences (completely or partially) from other places.  You must also acknowledge the source, even if you rephrase.  Tutorial: http://library.uta.edu/plagiarism/index.php Lecture 1: Introduction 19

20. Academic Integrity  It has happened in every semester. It is a serious matter.  The chance of being caught is large; we diligently check and compare the documents and source codes that you submit to us, using an automatic tool.  The consequence is certain:  I will submit the form of “faculty referral of honor code violation” to the university. No exception!  Academic penalty in the context of this course: 0 on assignment/exam, reduced grade, failing grade of the course  Penalty by the university: probation, suspension, expulsion, …  More information at http://www.uta.edu/conduct/academic- integrity/index.php Lecture 1: Introduction 20

21.  You are not supposed to provide your work (email, hard copy, or in any form) to anyone for any purpose. If plagiarism happens, you will also take the responsibility.  You can discuss general ideas and general programming techniques, but you cannot provide your code and document to others in any form.  Following excuses not acceptable:  “I emailed it to my roommate/friend so that I can submit from their computer, since I couldn’t get online from mine.”  “I sent it to my roommate/friend so that I can compile and test my program on their computer, since mine was down.” Lecture 1: Introduction 21