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research_computing_syllabus.txt
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Research Computing and Data Management
ENVH 590 D / BIOST 578 E; Winter 2016
Mondays 3:30 pm - 5:20 pm, HSL Classroom C
Course Instructors:
+------------------------------------------------------------------------+
| Lianne Sheppard, PhD | Brian High |
|------------------------------+-----------------------------------------|
| E-mail: sheppard @ UW | E-mail: high @ UW |
+------------------------------------------------------------------------+
Course Goals:
The main goal of this 2-credit class is to help students improve their
technical readiness for engaging in the increasingly data-centric work
that they face in their degree programs, in their related research, and in
their future professional and research practice. Students will become
acquainted with key concepts in research computing and data management,
including overviews of systems analysis techniques, data security and
integrity, and database tools, among others.
Learning Objectives:
At the end of this course students should be able to:
* Analyze requirements for management of data in different situations
and projects.
* Choose appropriate technical tools and techniques to support that data
management.
* Identify hazards and pitfalls in data-related projects.
* Identify factors that affect performance in the collection and
preparation of data for analysis.
* Describe the core technologies most frequently employed in large-scale
research data management.
Requirements:
The requirements for receiving credit for ENVH 590/BIOST 578: Research
Computing and Data Management are listed below. Each of these requirements
will be evaluated to determine whether credit will be given for the
course.
1. Participate (20 hours): Come to class and participate in discussions
and group exercises. Also, contribute to class-related online forums.
2. Complete assignments, including five online quizzes (25 hours):
Quizzes will be based on discussions, readings, and additional course
content such as videos and exercises. Quizzes will be completed online
through Canvas.
3. Complete a term project (15 hours): Each student will complete a term
project culminating in a “how to” resource: either a short (3-10
minute) recorded “screencast” presentation or a tutorial document
including “screenshots”. Some homework will be assigned to help guide
this effort. The “how to” should demonstrate a computing task
associated with research computing. Provide project peer-review to
others through Canvas.
Readings:
Readings, videos, exercises, and additional resources will be found on the
course website. (No textbook)
Grading:
This is a credit/no credit course. A grade of 70% or higher is required to
receive credit based on: participation (35% of grade), five online quizzes
(30% of grade), a term project (30% of grade), and project peer-review (5%
of grade).
Access and Accommodations:
Your experience in this class is important to us, and it is the policy and
practice of the University of Washington to create inclusive and
accessible learning environments consistent with federal and state law. If
you experience barriers based on a disability or temporary health
condition, please seek a meeting with DRS to discuss and address them. If
you have already established accommodations with DRS, please communicate
your approved accommodations to your instructor at your earliest
convenience so we can discuss your needs in this course.
Disability Resources for Students (DRS) offers resources and coordinates
reasonable accommodations for students with disabilities and/or temporary
health conditions. Reasonable accommodations are established through an
interactive process between you, your instructor(s) and DRS. If you have
not yet established services through DRS, but have a temporary health
condition or permanent disability that requires accommodations (this can
include but not limited to; mental health, attention-related, learning,
vision, hearing, physical or health impacts), you are welcome to contact
DRS at 206-543-8924 or [email protected] or disability.uw.edu
Academic Integrity Statement:
Students at the University of Washington (UW) are expected to maintain the
highest standards of academic conduct, professional honesty, and personal
integrity.
The UW School of Public Health (SPH) is committed to upholding standards
of academic integrity consistent with the academic and professional
communities of which it is a part. Plagiarism, cheating, and other
misconduct are serious violations of the University of Washington Student
Conduct Code (WAC 478-120). We expect you to know and follow the
university's policies on cheating and plagiarism, and the [1]SPH Academic
Integrity Policy. Any suspected cases of academic misconduct will be
handled according to University of Washington regulations. For more
information, see the University of Washington Community Standards and
Student Conduct website.
ENVH 590 / BIOST 578 Research Computing and Data Management
CLASS SCHEDULE
(Subject to change)
+--------------------------------------+----------------------------------------+
| | Week 6: (meet 2/8) |
| | |
| | o Data Sharing and Data Management |
| Week 1: (meet 1/4) | Plans |
| | o Reproducible Research |
| o Course Introduction | o Quiz 3: Covers weeks 5-6, due |
| o Software Tools Orientation | 2/8 @ 2:30pm |
| | |
| | |
| | |
| Week 2: (meet 1/11) | Week 7: Holiday - NO CLASS 2/15 |
| | |
| o Information Systems | o Programming and and Version |
| o Networking | Control |
| o Information Security | |
| o Quiz 1: Covers weeks 1-2, due | |
| 1/11 @ 2:30pm | |
| | Week 8: (meet 2/22) |
| | |
| | o Data Analysis and Visualization |
| Week 3: Holiday - NO CLASS 1/18 | Tools |
| | o Quiz 4: Covers weeks 7-8, due |
| o Systems Analysis | 2/22 @ 2:30pm |
| o Project Management | |
| o Resource Management | |
| | |
| | Week 9: (meet 2/29) |
| | |
| Week 4: (meet 1/25) | o Big Data and Cloud Computing |
| | o Data Science and Data Mining |
| o Software Application Interfaces | o Projects due: 2/29 @ 2:30pm |
| o Instrument Interfaces and Data | o Begin peer-reviews |
| Acquisition | |
| o Data Files and Manipulation | |
| o Quiz 2: Covers weeks 3-4, due | |
| 1/25 @ 2:30pm | Week 10: (meet 3/7) |
| | |
| | o Systems Analysis Case Studies |
| | o Peer-reviews due 3/7 @ 2:30 pm |
| Week 5: (meet 2/1) | |
| | |
| o Databases and SQL | |
| | Week 11: (meet 3/14) |
| | |
| | Quiz 5: Covers projects, due 3/14 |
| | @ 2:30pm |
| | |
+--------------------------------------+----------------------------------------+
Classroom: Health Science Library (HSL) Classroom C, Mondays 3:30 pm to 5:30 pm
References
1. http://sph.washington.edu/students/academicintegrity/