Reflection – Mind Mapping 

 Challenge 

 I am a mechanical engineering student , For our Bachelor thesis we are working on a topic to create   common platform for manufacturing and logistics . With focus on reducing labor cost , increasing   transparency among the processes and driving digitization . The project scope includes qualitative research   by our group of four students , taking interviews of business professionals from respective domains such   as value stream manager , manufacturing process expert , operations manager etc . from automotive   industries . Scope of our thesis is limited to automotive industries as they are in the major transition phase   and are already implementing change management concepts . The time line for our thesis is four months . 

 Selection 

 We have already went through ‘ ’ Design Thinking ’’ workshops at our university , so we are implementing   mind mapping tool in our thesis . As this tool helps to understand the insights and segregate large amount   of data . 

 Application 

 During our initial phase of thesis we had huge data from literature , inputs from the interviews that we   conducted . Our deadline for data representation was two weeks and for data extraction(survey conducted   with professionals ) , we had another two weeks . Before implementation of ‘ ’ Mind Mapping ’’ it was chaos   of data . It became difficult to analyze which data we actually need , which will play crucial role to put   forward our findings . 

 After data collection , we implemented mind - mapping tool to create theoretical base for our idea . Figure1   shows our structure of data mining that we came up after using mind mapping . In the first phase we   reviewed all data we have and segregated data into four types such as data from qualitative research ,   state of the art , survey conducted with professionals and future scope . Then each one of us took   responsibility of one type . In every weekly meeting with our Professor we did presentation on data   analysis , data representation , data extraction and future scope . 

 Figure 1 Data mining 

 • Furute scope • Interviews 

 with   professionals 

 • State of the 

 art 

 • Qualitative 

 research 

 Data 

 representation Data Analysis 

 Presentation   of findings 

 Data 

 extraction 

 Insight and Approach 

 After implementing mind - mapping tool in our academic work , our team identified our assumptions and   helped us to come with new ideas . For example one of the focus element of our thesis is increasing   transparency along processes but how was missing in our study . This segregation of data helped us to   rethink on our scope of thesis and how it could be achieved within time frame of four months .   We made   three sections of data namely green , yellow and red . Out of these , green section needed no filter , we used   it directly , for yellow section we filtered our data and made sticky notes with main points that we may   need in our further studies , and for red section each one of us made own sticky notes boards including   points that we thought will be helpful followed by brain storming session . 

 We realized that mind mapping saved our time we met our deadline of data mining . In our upcoming   phase of thesis , we will try to do it in stepwise manner , as it was our first attempt to implement design- thinking tool practically in academic work . Workshops at our university made our concepts clear about   the design thinking and made our base strong in the same . This course by ‘ ’ Coursera ’’ has helped us in   actual implementation of design thinking tool . 

 We hope to receive a feedback how we could have done it in a better way . 


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 – Mind Mapping 

 Challenge 

 I am a mechanical engineering student , For our Bachelor thesis we are working on a topic to create   common platform for manufacturing and logistics . With focus on reducing labor cost , increasing   transparency among the processes and driving digitization . The project scope includes qualitative research   by our group of four students , taking interviews of business professionals from respective domains such   as value stream manager , manufacturing process expert , operations manager etc . from automotive   industries . Scope of our thesis is limited to automotive industries as they are in the major transition phase   and are already implementing change management concepts . The time line for our thesis is four months . 

 Selection 

 We have already went through ‘ ’ Design Thinking ’’ workshops at our university , so we are implementing   mind mapping tool in our thesis . As this tool helps to understand the insights and segregate large amount   of data . 

 Application 

 During our initial phase of thesis we had huge data from literature , inputs from the interviews that we   conducted . Our deadline for data representation was two weeks and for data extraction(survey conducted   with professionals ) , we had another two weeks . Before implementation of ‘ ’ Mind Mapping ’’ it was chaos   of data . It became difficult to analyze which data we actually need , which will play crucial role to put   forward our findings . 

 After data collection , we implemented mind - mapping tool to create theoretical base for our idea . Figure1   shows our structure of data mining that we came up after using mind mapping . In the first phase we   reviewed all data we have and segregated data into four types such as data from qualitative research ,   state of the art , survey conducted with professionals and future scope . Then each one of us took   responsibility of one type . In every weekly meeting with our Professor we did presentation on data   analysis , data representation , data extraction and future scope . 

 Figure 1 Data mining 

 • Furute scope • Interviews 

 with   professionals 

 • State of the 

 art 

 • Qualitative 

 research 

 Data 

 representation Data Analysis 

 Presentation   of findings 

 Data 

 extraction 

 Insight and Approach 

 After implementing mind - mapping tool in our academic work , our team identified our assumptions and   helped us to come with new ideas . For example one of the focus element of our thesis is increasing   transparency along processes but how was missing in our study . This segregation of data helped us to   rethink on our scope of thesis and how it could be achieved within time frame of four months .   We made   three sections of data namely green , yellow and red . Out of these , green section needed no filter , we used   it directly , for yellow section we filtered our data and made sticky notes with main points that we may   need in our further studies , and for red section each one of us made own sticky notes boards including   points that we thought will be helpful followed by brain storming session . 

 We realized that mind mapping saved our time we met our deadline of data mining . In our upcoming   phase of thesis , we will try to do it in stepwise manner , as it was our first attempt to implement design- thinking tool practically in academic work . Workshops at our university made our concepts clear about   the design thinking and made our base strong in the same . This course by ‘ ’ Coursera ’’ has helped us in   actual implementation of design thinking tool . 

 We hope to receive a feedback how we could have done it in a better way .
### Output: 