Vijay Thea – Learning Launch 

 Challenge 

 I am a team member with four of my friends in a university course which is Design of Experiments .   Learning Launch tool was used to make an experiment project about testing tea thermos . In most   Saudi occasion one of the important things that must be served is tea . in addition , serving tea is   considered as traditional welcome to the guests in most Arab cultures . Therefore , one of the main   Property of tea is that it should be served hot , so when the tea becomes cold or even warm , it loses   its value . As we can notice that on most occasion , they prepare tea before the occasion time starts ,   usually poor thermos can not maintain the temperature of the tea which disturb the enjoyment and   give bad impression to the guests . 

 Selection 

 We selected this approach as it is the best approach to make our project . Simply we are going to make   some experiments on some tea thermoses , and we will make some statistical calculations and   hypothesis . Learning Launch is a very effective tool to use in such a project as it will show all the results   clearly . 

 Application 

 The main idea of this experiment as we mentioned previously is to find the optimal factors treatment   combination that increase the ability to maintain the tea temperature in the tea pot as longest time   as possible . So , to find what we are looking for , we planned to perform the experiment as follow : First   we will heat up the tea until it 's temperature reaches 90 ° C then we will put it in the tea pot . After   putting the tea in the tea pot we will measure the tea temperature after one hour and write down it .   a stopwatch and a digital thermometer both are going to be used in this experiment to determine the   exact time and temperature . the experiment is going to be repeated with various combinations of the   three factors that we have .     An experiment has many factors that give result . This result is a goal that has been set since the   beginning of the experiment . In this study on the Tea Pot , we seek to find the optimal factors   treatment combination that increase the ability to maintain the tea temperature in the Tea Pot as   longest time as possible .     The vary of factors we will measure it by the output of the experiment ( response variable ) which is   the ability that the Tea Pot can maintain the tea temperature . We will use the temperature in ( Celsius )   as a unit of measuring our response . So , we can conclude from the response variable the effect of our 

 Table 1 : Design Metrics 

 factors on the maintainability of tea temperature in the Tea Pot . We will take only one reading per   response for each run .     It is important to choose the appropriate Replications for each experiment . Where more repetition   will lead to a significant result in the experiment . This is done by repeating the experiment with the   same exact combination of factors more than once . Thus , we choose three as a number of replicates ,   as it reduces the pure experimental error that comes from uncontrollable factors and it validates the   experiment . Furthermore , as a result it will require more effort , but the accuracy of the data is more   important in our case . 

 Figure 1 : schematic diagram 

 Table 2 : Design Matrix 

 Table 3 : Data Sheet 

 in our experiment there are 36 runs and 36 observations also the number of hypotheses will equal   number of effects . Also , the table consist all the numbers of parameters that needed during the   experiment such as the number of factors and levels , numbers of replicates , and so on . 

 A : kind of material ( Steel “ S ” , Plastic “ P ” ) .   B : the amount of tea ( 0.5,1.0,1.5 liters ) .   C : type of tea ( Tea Powder ” TP ” , Tea Bags ” TB ’ ) . 

 Table 4 : Hypothesis Results 

 Insight 

 By applying this method , we got our hypothesis very easily and effectively as this approach helped us   clearly set up our learning goals . By using this tool , we learned some new skills such as improving the   workflow to ease the process , structure our work easily and so much more . In addition , we would   like to share our hypothesis that we got . 

 Approach 

 Actually , we already gone through several design thinking tools and actually this is the appropriate   one that was fit to our challenge . In future projects another tool maybe used like mind mapping   which is a very powerful tool that can be used to visualize ideas . Moreover , story telling is a great   tool to use in a lot of future projects . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Vijay Thea
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: Vijay Thea – Learning Launch 

 Challenge 

 I am a team member with four of my friends in a university course which is Design of Experiments .   Learning Launch tool was used to make an experiment project about testing tea thermos . In most   Saudi occasion one of the important things that must be served is tea . in addition , serving tea is   considered as traditional welcome to the guests in most Arab cultures . Therefore , one of the main   Property of tea is that it should be served hot , so when the tea becomes cold or even warm , it loses   its value . As we can notice that on most occasion , they prepare tea before the occasion time starts ,   usually poor thermos can not maintain the temperature of the tea which disturb the enjoyment and   give bad impression to the guests . 

 Selection 

 We selected this approach as it is the best approach to make our project . Simply we are going to make   some experiments on some tea thermoses , and we will make some statistical calculations and   hypothesis . Learning Launch is a very effective tool to use in such a project as it will show all the results   clearly . 

 Application 

 The main idea of this experiment as we mentioned previously is to find the optimal factors treatment   combination that increase the ability to maintain the tea temperature in the tea pot as longest time   as possible . So , to find what we are looking for , we planned to perform the experiment as follow : First   we will heat up the tea until it 's temperature reaches 90 ° C then we will put it in the tea pot . After   putting the tea in the tea pot we will measure the tea temperature after one hour and write down it .   a stopwatch and a digital thermometer both are going to be used in this experiment to determine the   exact time and temperature . the experiment is going to be repeated with various combinations of the   three factors that we have .     An experiment has many factors that give result . This result is a goal that has been set since the   beginning of the experiment . In this study on the Tea Pot , we seek to find the optimal factors   treatment combination that increase the ability to maintain the tea temperature in the Tea Pot as   longest time as possible .     The vary of factors we will measure it by the output of the experiment ( response variable ) which is   the ability that the Tea Pot can maintain the tea temperature . We will use the temperature in ( Celsius )   as a unit of measuring our response . So , we can conclude from the response variable the effect of our 

 Table 1 : Design Metrics 

 factors on the maintainability of tea temperature in the Tea Pot . We will take only one reading per   response for each run .     It is important to choose the appropriate Replications for each experiment . Where more repetition   will lead to a significant result in the experiment . This is done by repeating the experiment with the   same exact combination of factors more than once . Thus , we choose three as a number of replicates ,   as it reduces the pure experimental error that comes from uncontrollable factors and it validates the   experiment . Furthermore , as a result it will require more effort , but the accuracy of the data is more   important in our case . 

 Figure 1 : schematic diagram 

 Table 2 : Design Matrix 

 Table 3 : Data Sheet 

 in our experiment there are 36 runs and 36 observations also the number of hypotheses will equal   number of effects . Also , the table consist all the numbers of parameters that needed during the   experiment such as the number of factors and levels , numbers of replicates , and so on . 

 A : kind of material ( Steel “ S ” , Plastic “ P ” ) .   B : the amount of tea ( 0.5,1.0,1.5 liters ) .   C : type of tea ( Tea Powder ” TP ” , Tea Bags ” TB ’ ) . 

 Table 4 : Hypothesis Results 

 Insight 

 By applying this method , we got our hypothesis very easily and effectively as this approach helped us   clearly set up our learning goals . By using this tool , we learned some new skills such as improving the   workflow to ease the process , structure our work easily and so much more . In addition , we would   like to share our hypothesis that we got . 

 Approach 

 Actually , we already gone through several design thinking tools and actually this is the appropriate   one that was fit to our challenge . In future projects another tool maybe used like mind mapping   which is a very powerful tool that can be used to visualize ideas . Moreover , story telling is a great   tool to use in a lot of future projects .
### Output: 