Reflection - Learning Launch 

 Challenge and selection 

 I am part of my Baja SAE team ’s ergonomics division . My job is to design and make parts   that contribute with the aerodynamics and ease of control of an off - road car . We are limited   by a rulebook given out by the organization that details available materials , construction ,   and thickness of said materials , as well as the existing chassis of the car . The team consists   of me , the division director , as well as 2 other designers that aid me with the designing ,   construction , and installation of the various pieces . The project is carried out within the scope   of 2 months , of which 1 is focused on part design . Our goal was to improve our performances   in relation to last year ’s car , which include improving aerodynamic efficiency . 

 Given all the reasons and limitations explained above , I selected to use the Learning Launch   tool . Furthermore , another reason is the necessity for a vast selection of test components   and materials , so the Learning Launch would aid us in carrying out these tests in a rapid   and inexpensive manner . 

 Application 

 For our instance of the launch , the team selected the frontal panel of the car : This is the part   that is furthest out forward in the car , therefore representing a crucial component of the   aerodynamic efficiency . Initially , it was made up of a sheet of metal bent into a series of   shapes to fit into the space available . Our initial assumption was that the various folds of the   metal were harming the car ’s performance , so we opted to make it out of a single piece . To   do this , we procured a larger , but thinner sheet of metal that could easily bend without folding   it . Once we carried out our simulation , we discovered that it did in fact aid in our aerodynamic   coefficient . 

 Insight 

 The usage of the Learning Launch tool allowed our team to identify certain hypotheses and   designed a launch to test said hypothesis . Once we manufactured the designed piece , it   granted us an advantage to be sure , but it did not yield the drastic change in performance   that we were expecting . We believed that this was due to the relative short timespan we had   available , which indicated to us that we needed to designate more time to using the tool to   carry out a truly effective brainstorming session . This was shown to the other team directors ,   and they very much agreed with our conclusions , meaning that next season a longer   designing phase will be granted to us . 

 Approach 

 We have decided that the Learning launch would be the most appropriate method to further   carry out research and development . However , just one instance is n’t evidence enough to   be conclusive as to its long - term viability . Applying the method a second time next season   would allow us to gather further evidence in order to refine and streamline our decision   making further . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection - Learning Launch 

 Challenge and selection 

 I am part of my Baja SAE team ’s ergonomics division . My job is to design and make parts   that contribute with the aerodynamics and ease of control of an off - road car . We are limited   by a rulebook given out by the organization that details available materials , construction ,   and thickness of said materials , as well as the existing chassis of the car . The team consists   of me , the division director , as well as 2 other designers that aid me with the designing ,   construction , and installation of the various pieces . The project is carried out within the scope   of 2 months , of which 1 is focused on part design . Our goal was to improve our performances   in relation to last year ’s car , which include improving aerodynamic efficiency . 

 Given all the reasons and limitations explained above , I selected to use the Learning Launch   tool . Furthermore , another reason is the necessity for a vast selection of test components   and materials , so the Learning Launch would aid us in carrying out these tests in a rapid   and inexpensive manner . 

 Application 

 For our instance of the launch , the team selected the frontal panel of the car : This is the part   that is furthest out forward in the car , therefore representing a crucial component of the   aerodynamic efficiency . Initially , it was made up of a sheet of metal bent into a series of   shapes to fit into the space available . Our initial assumption was that the various folds of the   metal were harming the car ’s performance , so we opted to make it out of a single piece . To   do this , we procured a larger , but thinner sheet of metal that could easily bend without folding   it . Once we carried out our simulation , we discovered that it did in fact aid in our aerodynamic   coefficient . 

 Insight 

 The usage of the Learning Launch tool allowed our team to identify certain hypotheses and   designed a launch to test said hypothesis . Once we manufactured the designed piece , it   granted us an advantage to be sure , but it did not yield the drastic change in performance   that we were expecting . We believed that this was due to the relative short timespan we had   available , which indicated to us that we needed to designate more time to using the tool to   carry out a truly effective brainstorming session . This was shown to the other team directors ,   and they very much agreed with our conclusions , meaning that next season a longer   designing phase will be granted to us . 

 Approach 

 We have decided that the Learning launch would be the most appropriate method to further   carry out research and development . However , just one instance is n’t evidence enough to   be conclusive as to its long - term viability . Applying the method a second time next season   would allow us to gather further evidence in order to refine and streamline our decision   making further .
### Output: 