CSE6339 DATA MANAGEMENT AND ANALYSIS FOR COMPUTATIONAL JOURNALISM CSE6339, Spring 2012 Department of Computer Science and Engineering, University of Texas.

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Lecture 1a- Introduction
Presentation transcript:

CSE6339 DATA MANAGEMENT AND ANALYSIS FOR COMPUTATIONAL JOURNALISM CSE6339, Spring 2012 Department of Computer Science and Engineering, University of Texas at Arlington ©Chengkai Li, 2012 Lecture 1: Introduction

Course Page   Syllabus, Schedule (lecture notes), Resources, Accommodation based on disability.  Course announcements will be made through BlackBoard and . Lecture 1: Introduction 2 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Basics  Lectures: Tue/Thu, 2:00pm-3:20pm, GS 109  We may use a meeting room instead. (TBD)  Reschedule?  Instructor: Chengkai Li Office hours: Tue/Thu 11am-12pm, 3:30-4:30pm, ERB 652 Contact: cli [at] uta.edu, (817) (I don’t check voice mail)  TA: ? Lecture 1: Introduction 3 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Essence  Project-Driven: You will do a semester-long project and mainly evaluated by it. 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 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li,

Tentative Grading Scheme  Paper Review20%  Paper Presentation20%  Class participation (attendance and discussion)10%  Course Project 50% No homework, quiz, or exam. Lecture 1: Introduction 5 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

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: 11:55pm, the night before the lecture.  Each review should discuss the following. Suggested length is words:  Take-home message from the paper, i.e., a very brief summary of what the paper studies/discovers.  What do you like about the paper.  Several things that you don’t like about the paper. Lecture 1: Introduction CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li,

Paper Presentation 20%  After the initial several lectures  Study one paper (sometimes more) in each lecture.  One student will present the paper.  Each student makes 2 presentations.  Sign-up in blackboard (instructions will be given later).  Presentation slides:  Deadline: 11:55pm, 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 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li,

Class participation 10%  Attending the class is mandatory.  Students are expected to actively participate in discussion. Lecture 1: Introduction 8 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Course Project 50%  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 9 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

BlackBoard   Announcement  Student assignment submission (we don’t accept submission or hard-copy)  Presentation slides  Review  Project deliverables  Grades  Discussion Lecture 1: Introduction 10 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Deadlines  Everything will be submitted through BlackBoard.  Due time: 11:55pm  Late submission: 5-point deduction per hour, till you get 0. (The raw score of each assignment is 100. So there is no point to submit it after 20 hours). Lecture 1: Introduction 11 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

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 12 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Where to find papers  Google Google  Google Scholar Google Scholar  DBLP Bibliography DBLP Bibliography  Services through UTA Library  ACM Digital Library ACM Digital Library  IEEE Xplore IEEE Xplore  Other Computer Science articles Other Computer Science articles Lecture 1: Introduction 13 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Get bored?  Do you watch Youtube? Lecture 1: Introduction 14 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Lecture 1: Introduction Don’t do it. It’s not worth it. We are very serious about this. read & sign the statement CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Specific to this course  Paper review: 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 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 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li,

Topics potentially related to the projects  Data Cube and OLAP  Data Mining, Text Mining  Query processing  Natural language querying of databases  Web databases  Data visualization  User interface  Cloud computing  Crowdsourcing  Social computational systems Lecture 1: Introduction 17 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Self Introduction  Chengkai Li  Research interests: databases, Web data management, data mining, information retrieval  Projects:  Computational Journalism  Database Testing  WebEQ (Querying and Exploring the Web) Lecture 1: Introduction 18 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012

Now it’s your turn o Name, program/year, where from o Background related to: o Journalism o Database o Text Mining, Data Mining, Machine Learning o Informational Retrieval o Web technologies o User Interface, Visulization o Cloud computing o Social networks o Why do you want to take this course? o What do you want to get from the course? o What would make you like/hate this course? Lecture 1: Introduction 19 CSE6339 Computational Journalism, Spring 2012 UT-Arlington © Chengkai Li, 2012