All undergraduate students*, graduate students, and postdocs are welcome to register for this workshop. CSoI member students will be given priority registration. No training in Computer Science or expertise in any particular area is needed. Students from all data-driven disciplines are welcome. We will send some pre-workshop training materials for students to complete during the weeks before the workshop starts, so that all students start the workshop with a comparable level of experience.
The intended audience for the workshop are students at all levels who have not (yet) delved into a data science experience, but want to begin working in this area. As an outcome of this experience, students will be acquainted with several tools for data analysis.
We will introduce participants to some of the first principles and concepts from data analysis. Students who complete the workshop will learn several technologies, including skills for data wrangling and data visualization. We will utilize the R platform for data analysis, and will discuss strategies for reproducible research. As time permits, we will discuss how to use R to interact with SQL databases, how to scrape and parse XML code, and how to utilize techniques of data visualization.
All of the topics will be offered in team-oriented projects. We will choose several sources of data, so that the workshop will have an interdisciplinary appeal. This enables students to develop a sense of community and confidence about introductory topics in data analysis.
Central to the diversity mission of the Center is providing opportunities to women and other underrepresented groups including U.S. citizens, nationals, permanent residents. The spirit of this workshop is to bring together students and postdocs from multiple fields to lower barriers for understanding the language and approaches across multiple disciplines and data science.
* undergraduate students must be U.S. citizens or permanent residents. Registration for the workshop does not guarantee acceptance.
Lead Instructor: Dr Mark D. Ward, Assistant Professor and Associate Director of Center for Science of Information, Purdue University
TA: Lida Ahmadi, PhD candidate, Department of Mathematics, Purdue University
TA: Yucong Zhang, PhD candidate, Department of Statistics, Purdue University
Lodging will be provided and paid for by the Center for all non-Purdue students. Students from outside Purdue requiring lodging will be staying at First Street Towers. The office is open 24 hours so students can check in whenever they arrive. Phone for First Street Towers is 765-494-0200 for assistance. If you take an airport shuttle to Purdue, a shuttle pickup/drop-off spot is often at the Purdue West shopping area next to Follett's along McCutcheon Drive. It is then only 1 block east to First Street Towers along State Street (see map below).
Off campus students should plan to arrive at Purdue by Sunday evening, May 21st. The workshop will conclude Noon on Friday, May 26th.
Student and Postdocs from outside Purdue are eligible to apply for reimbursement of airfare and shuttle expenses to attend the full week workshop. Please indicate this during the registration.
Lunch will be catered onsite each day during the workshop. Students staying in the dorm will receive dining cards at check-in that can be used at specific locations on campus for breakfast and dinner (for use up to $100 for the duration of workshop). Purdue students will receive dining cards on the 1st day of the workshop. Your dining/boiler express card can be used at Earhart residential dining court (breakfast 7-8:30am; dinner: 5-6:30pm ) as well as the Computer Science Port (in Lawson building 1st floor) from 8am - 2pm during the week. there are a few additional cafes, markets, and restaurants at campus locations open during the summer session. You should view hours of operations for these non-residential locations here: http://www.dining.
Earhart Dining will be closed Sunday May 21, and Saturday May 27. There are non-Purdue options available at Purdue West - two blocks West of First Street Towers - during these times.
Meeting location: Lawson Computer Science, Room 3102, 305 N. University Street, West Lafayette, IN, 47907
Campus locations for breakfast & dinner:
Check open hours for these locations: http://www.dining.
Note that you will want the Purdue West/Follett's location for shuttle drop-off/pick-up to and from the airport. This is along McCutcheon Drive by Follett's book store, and is directly two blocks west from the First Street Towers dorm (see map above).
Students and Postdocs from outside Purdue are eligible to apply for reimbursement of airfare and shuttle expenses to attend the full week workshop. Use the link above, and follow the instructions and forms provided. If any questions regarding travel reimbursement contact Robynne McCormick email@example.com.