Thursday, November 19, 2015

Winter 2016 CSE 490 N Neural Engineering

CSE 490 N (open to all undergrads)
Neural Engineering (an introductory course)
SLN 12968 WF 2:00-3:20                                                   RUSSELL HALL 204, 1414 NE 42ND ST

Environmental Management Certificate Program

Graduate students in the Environmental Management Certificate program from across the University collaborate to tackle real-world problems with profound policy, scientific and business ramifications. Students engage in environmental challenges-including energy, climate change, food systems, depletion of natural resources and pollution-and learn to organize collaborative teams to complete a client-based project. Addressing these challenges requires an understanding of diverse disciplines.
The program spans traditional academic boundaries, allowing students to integrate broad perspectives, knowledge, skills and interconnections. Our goal is for students to achieve a coherent view of environmental issues through an interdisciplinary focus on the complex relationships among science, management and policy. Applications are accepted twice each year, usually the first Monday in February and first Monday in May.

The Environmental Management Graduate Certificate program offers students access to the University of Washington's world-class faculty and resources across multiple colleges and schools, including the Evans School of Public Affairs, Foster School of Business, the College of Engineering, and the College of the Environment.

The EM Certificate program offers students:
  • A real-world consulting experience
  • A solution-based approach to environmental issues
  • Interdisciplinary problem-solving practice
  • Skills development in project management, problem solving, communications, and team-building
  • Opportunities to develop relationships across an network of graduate students, UW faculty, and potential employers

Eligibility
Students must be matriculated graduate or professional students to be eligible to apply to the Environmental Management Certificate program.

Admission Requirements
Prior to admission, students must have completed a one quarter upper-level or graduate-level course in each of the following:
  • Applied quantitative methods (e.g., microeconomics, numerical modeling, applied statistical methods) or pure quantitative methods (e.g., mathematics or statistics);
  • Social or natural science.
In addition, strong interpersonal and written and verbal communication skills are required.
Admission is competitive and students are selected on the basis of their academic preparation, ability, and program fit.

Admission Application Procedures
Applications are due February 4 and May 2, 2016.  To apply for admission, send the following to enviradv@uw.edu:
  • Completed Application Form
  • Letter of Application
  • Resume or CV
  • Transcripts
The admissions committee considers all completed applications. Decisions are based on the student's letter of application, academic record and experience, and potential fit with the Keystone Projects.

COE Undergraduate Peer Tutor positions-Loew Hall



JOB TITLE:  Math-Chemistry-Physics-Engineering Fundamentals Tutor(s)
CONTACT/SUPERVISOR: Lynne Spencer/Sheldon Levias

Duties and Responsibilities:

Collaborating one-on-one or in groups with students in the Engineering Academic Center (EAC) to provide academic and skills support and to assist them with meeting their academic goals in engineering quantitative pre-requisites courses: such as math (calculus, differential equations), chemistry, or physics and/or engineering fundamentals, computer science.
Providing explanations of appropriate quantitative and /technology concepts and techniques for a given task or assignment.
Helping students develop learning strategies.
Performing routine study center operating tasks (receiving students and visitors, taking roll call, maintaining room preparedness for studying)
Attending scheduled meetings and training events for academic tutors and/or facilitators
Assisting with EAC quantitative workshops, student’s orientations and classroom visits.   
Assist with other tasks as required

Minimum Qualifications:
Excellent academic skills for assigned quantitative field (math, applied math, science, stats, java, other).
Solid and effective communication skills and desire to assist students in an academic support setting.
Strong solid and efficient computer skills including knowledge of MS Office, e-mail
Provision of a collegiate transcript showing completion of levels of designated quantitative field, faculty reference and/or pass an entrance quantitative exam.

Educational Benefits:
Strengthen tutor’s own quantitative, study and pedagogical skills
Experience working with other science and engineering peers/students.

Application Process: Please email Lynne Spencer indicating your desire to become an academic tutor highlighting any pertinent skills or experience.  Also attach a current resume and your unofficial transcripts.

2016 EE Graduation Date and Place

The EE Graduation Celebration is moving to Hec Edmundson Pavilion. This will cure our seating issues. The date for event will be Wednesday, June 8th. The precise start time remains to be determined but it will be an evening event (after 6 p.m.)

Wednesday, November 18, 2015

Recruiting Tutor-Mentors for EDUC 401: Higher Ed Tutoring and Mentorship

Attention, Juniors & Seniors!

Gain Experience and Make a Difference

Be a Tutor-Mentor: EDUC 401 F & G


UW's Academic Support Programs is offering a service-learning seminar titled “EDUC 401: Higher Education Tutoring and Mentorship” in Winter Quarter 2016. This weekly seminar introduces juniors and seniors to tutoring, mentoring, and teaching methodologies. Students apply what they learn in class through tutoring and mentoring new transfer, freshman, and sophomore students who are transitioning socially, culturally, and academically to the UW. This is a great opportunity for seasoned students to give back to the UW by sharing their knowledge and experience.

·         Seminar meets on Mondays from 3:30-4:50 PM or from 6:00-7:20 PM
·         Tutoring takes place on campus
·         Receive 2 credits for working with one student, or 3 credits for working with two     students
·         A letter of recommendation will be available upon request after completion of the     seminar


For more information, visit our website at:


For registration information, please contact Ahnya Redman at:
aredman@uw.edu

AfterCollege.com EE Scholarship Deadlines: December 31st

Electrical Engineering Student Scholarships
AfterCollege scholarships are awarded to students who demonstrate professionalism and a passion for their future careers. This means that we evaluate applicants' profiles with the eye of a hiring manager.

You can learn How to Create a Ridiculously Good Looking AfterCollege Profile on our blog. Best of luck!


Next Deadline: December 31st
National Security Agency Electrical Engineering Student Scholarship

$500 - Open to currently enrolled students pursuing a degree in the field of electrical engineering. Must be a U.S. Citizen. Minimum 3.0 GPA.

Apply Online
AfterCollege Engineering Student Scholarship

$500 - Open to currently enrolled students working toward a degree (AA,AS,AAS, BA,BS, MS, PhD) in a field of engineering. Minimum 3.0 GPA.

Apply Online
AfterCollege STEM Inclusion Scholarship

$500 - Open to currently enrolled students working toward a degree in a field of Science, Technology, Engineering or Mathematics from a group underrepresented in their field of study. Underrepresented groups may be defined by: gender, race, ethnic background, disability, sexual orientation, age, socio-economic status, nationality and other non-visible differences. Minimum 3.0 GPA.

Apply Online

Tuesday, November 17, 2015

Edinburgh PhD places in vision, robotics, data science, parallelism

Edinburgh University has 3 Centres for Doctoral Training (CDT)
that would be of interest to computer vision and robotics students.
(See: http://www.ed.ac.uk/schools-departments/informatics/postgraduate/cdts/informatics-cdts)

EPSRC CDT in Robotics and Autonomous Systems -
     including computer vision:
     http://www.edinburgh-robotics.org/programme-information
     http://www.edinburgh-robotics.org/
     10 new PhD places

EPSRC CDT in Data Science -
     includes analysis of datasets (including `big data') that might arise
     from computer vision applications:
     http://datascience.inf.ed.ac.uk/about-course/
     http://datascience.inf.ed.ac.uk/
     10 new PhD places

EPSRC CDT in Pervasive Parallelism -
     investigating approaches to parallelism that could be used
     with big datasets, video, etc:
     http://pervasiveparallelism.inf.ed.ac.uk/
     10 new PhD places

Funding is primarily for UK students, but there is a small amount of funding
for a few outstanding EC or overseas students.

Social Challenges Group

Overcoming Social Challenges: a therapy group at Hall Health for people who want to reduce social anxiety and make better connections with others
Do you:
° Struggle in social situations?
° Feel awkward or uncomfortable when trying to meet or talk to people?
° Avoid activities or miss out on opportunities due to fears about having to “be social”? 
Overcoming Social Challenges is a therapy group for  those who would like to feel less anxious and more confident in social environments.  We focus on forging new connections and enhancing one’s level of comfort in the presence of others.
When: Wednesdays 2 – 3:30 pm
Where: Mental Health Clinic at Hall Health
Who: Led by Treg Isaacson, LMHC and Meghann Gerber, PsyD
For more information or to schedule an initial screening appointment, contact Meghann meghanng@uw.edu  or Treg (206) 221-7983

Large Format 3D Printing - Win 16 - ME 499 Class

Would you like to help build and test a high speed, large format 3D printer that has a 1m x 1m x 1.5m build volume and earn class credit for it through an ME 499 class?
Any member or interested student may join this class upon instructor approval.  Students do not have to be involved at all with the club currently.  We are looking for driven self-motivated students who can be reliable workers while also maintaining a busy academic schedule.

The classes meeting time is yet to be determined, but it will be once a week to give assignments to team members who will then complete tasks on their own time with supervision from team leads.  

2-5 credits can be assigned for the course and will vary according to students personal need.  The amount of time each student should be expected to give for work will be three hours per credit per week. The student can also take the course as a pass/fail option if approved by department.

If you are interested, than please check out the following attached course description and fill out the informational survey linked bellow:

https://catalyst.uw.edu/webq/survey/lcj5/286399


ME 499 – Winter 2016 - Manufacturing, Assembling, and Testing of Large-Format 3D Printer
Affiliate Instructor Steven Weidner                                                                                  Target Class Size: 6-12 Students
weidner@uw.edu                                                                                         Instructor permission required for registration

Market Need
The University has the need for a high speed large-format 3D printer to aid in the designing, building, and prototyping for various students, clubs, faculty members, classes, and research projects.
Approach to Class
This class will be run as if the students are a manufacturing team in an industry setting fabricating, assembling, testing, and proving the concept of a large-format 3D printer called Big Blue, designed by members of WOOF3D (On Campus 3D Printer Club).  The successful proof of concept of this printer could result in an ME 495 capstone class.
The student manufacturing team will:
Be required to take and follow various safety training courses and use the appropriate safety equipment at all times.
Work with members of the Big Blue design team to understand the vision, goals, priorities, and requirements for proving the design concept of Big Blue.   The team will then prove or disprove the design concept of Big Blue through the fabrication, assembly, and testing of Big Blue’s XY axis gantry movement, electronics, extrusion system, and Z axis movement if time allows.
Use a manufacturing plan created by the WOOF3D design team to build Big Blue.  Project leads will follow this manufacturing plan and will be selected based on experience and knowledge of the project. Leadership positions on the team will be Management Lead, Fabrication Lead, Electronics Lead, Assembly and Testing Lead, and Documentation Lead.  Additional members of the team will be placed on teams and work with and under the instruction of project leads on a specific part of the project and will be placed with each lead based on experience, prior knowledge and desire to work on specific parts of the project of the project. 
Document the building, testing, and interfacing of Big Blue and any problems and changes of design throughout the course of the class.
Work with Solidworks models, drawings, part descriptions, manufacturer instructions, fabrication equipment, and prior research on the implementation of electronics and mechanical devices in a 3D printer to create Big Blue.  Campus resources such as shops, maker spaces, and the WOOF3D room will be used to help fabricate and assemble all parts of the printer.     
Be expected to individually produce a written summary of the work and additional research or documentation done while Big Blue is being assembled resulting in collaborative weekly reports.  A final will be required and follow the ME 495: “Final Report Guidelines” provided in class.  The final report should be pulled and developed from the collaborative weekly reports of the team.
Research, document and compare the current capabilities of large-format 3D printing on the market with the final documented specs of Big Blue’s printing capabilities.  Criteria for how well the printer functions will be developed to meet the requirements of the Big Blue design.
The report will include a description of the current design of Big Blue and its printing capabilities. A user manual will also be included in the final report, which would allow users unfamiliar with 3D printing to use the printer.  Lastly, further recommendations for future research required to enable the large-format printer to meet its requirements for a full-scale design and manufacturing of a final production-ready large-format printer and that could not be met during the course of the class.
Skills
General Required Skills (all students)
      Work safely at all times
Work in small teams, accept assignments, be personally accountable to complete given assignments
      Confidence to challenge assumptions and think critically
      Negotiate the class grading criteria with your instructor
Preferred Skills Students That This Manufacturing Team Should Possess
      Ability to interact with previous Design team in order to define design requirements.
      Develop methods to fulfill project plans, scopes, deliverables, schedules, and identify and manage risks
      Possess the knowledge or desire to learn all necessary fabrication techniques: laser cutting, water jetting, milling, welding, soldering, wiring, and assembling.
      Testing of mechanical movement, electrical components and wiring, and speed and quality of printing (prints structural strength, dimensional accuracy, cycle time of prints)
      Possess a working knowledge of Sailfish printing firmware, and Arduino Mega and Smoothieboard programming knowledge.
      Ability to record, define, and communicate in a technical manner on class assignments
Class Schedule
The student manufacturing team will meet at least once a week for a period of 1 hour at a scheduled time to discuss the planning, and project assignments.  The in-class schedule is still being finalized but most likely be Tuesday or Thursday late- afternoon. .  The team will meet outside of this regularly scheduled meeting in order to complete assigned tasks and phases of the project.  This time will be mainly considered lab time where the team will split into smaller teams to complete their assigned tasks for project phases. Meetings will be held in the MEB generally or in an alternative location depending on the purpose of the meeting.   The general time contribution estimated per week per student will be 3 hours per credit.
Class Credit
ME 499 is a variable credit class.  The class is designed to be 3 credits.  Each student may choose between 2 to 5 credits (more credits will require a larger time commitment as noted above).  The student may also take the class pass/fail if approved by the department.
Registration
Contact instructor for registration information