Selected design thinking tool : 

 Visualization 

 Subject Area :   Artificial Neural Network 

 Challenge :    As a teaching faculty of Computer Science and Engineering handling the course Artificial   Intelligence , I feel it very difficult to make the students to understand the concept of Artificial   Neural Networks .      Selection :    To overcome the above challenge , I have chosen visualization as an effective tool .   Visualization is about using images . It ’s not about drawing ; it ’s about visual thinking .   Visualization through visual imagery has been an effective way to communicate both abstract   and concrete ideas since the dawn of humanity . It pushes us beyond using words or language   alone . It is a way of unlocking a different part of our brains that allows us to think nonverbally   and that managers might not normally use . Here I am using models and images to explain the   concepts of Artificial Neural Networks using visualization technique .     Application 

 What is the principle behind the information sharing and recognition by   human brain ?   A biological neural network is composed of a groups of chemically   connected or functionally associated neurons . A single neuron may be   connected to many other neurons and the total number of neurons and   connections in a network may be extensive . Connections , called synapses ,   are usually formed from axons to dendrites , though dendrodendritic   synapses and other connections are possible . Apart from the electrical   signaling , there are other forms of signaling that arise from neurotransmitter   diffusion . 

 No We can ask the following questions to the students :   What do you understand from the example ? After getting variety of answers ,   we can explain the concept . 

 Comparison of Biological Neural Network and Artificial Neural Network 

 Now replace the nucleus by nodes ; information by inputs ; axon by network ;   impulse carried by feed forward or back propagation . A neural network is a   network or circuit of neurons , or in a modern sense , an artificial neural   network , composed of artificial neurons or nodes . 

 Insight :   Thus a neural network is either a biological neural network , made up of real biological neurons ,   or an artificial neural network , for solving artificial intelligence ( AI ) problems .     Approach :   Artificial neural network can be explained well using the above tool . So the same visualization   can be used for other topics like bio inspired algorithms such as Genetic Algorithm , Bee Colony   Optimization etc . , 


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: Selected design thinking tool : 

 Visualization 

 Subject Area :   Artificial Neural Network 

 Challenge :    As a teaching faculty of Computer Science and Engineering handling the course Artificial   Intelligence , I feel it very difficult to make the students to understand the concept of Artificial   Neural Networks .      Selection :    To overcome the above challenge , I have chosen visualization as an effective tool .   Visualization is about using images . It ’s not about drawing ; it ’s about visual thinking .   Visualization through visual imagery has been an effective way to communicate both abstract   and concrete ideas since the dawn of humanity . It pushes us beyond using words or language   alone . It is a way of unlocking a different part of our brains that allows us to think nonverbally   and that managers might not normally use . Here I am using models and images to explain the   concepts of Artificial Neural Networks using visualization technique .     Application 

 What is the principle behind the information sharing and recognition by   human brain ?   A biological neural network is composed of a groups of chemically   connected or functionally associated neurons . A single neuron may be   connected to many other neurons and the total number of neurons and   connections in a network may be extensive . Connections , called synapses ,   are usually formed from axons to dendrites , though dendrodendritic   synapses and other connections are possible . Apart from the electrical   signaling , there are other forms of signaling that arise from neurotransmitter   diffusion . 

 No We can ask the following questions to the students :   What do you understand from the example ? After getting variety of answers ,   we can explain the concept . 

 Comparison of Biological Neural Network and Artificial Neural Network 

 Now replace the nucleus by nodes ; information by inputs ; axon by network ;   impulse carried by feed forward or back propagation . A neural network is a   network or circuit of neurons , or in a modern sense , an artificial neural   network , composed of artificial neurons or nodes . 

 Insight :   Thus a neural network is either a biological neural network , made up of real biological neurons ,   or an artificial neural network , for solving artificial intelligence ( AI ) problems .     Approach :   Artificial neural network can be explained well using the above tool . So the same visualization   can be used for other topics like bio inspired algorithms such as Genetic Algorithm , Bee Colony   Optimization etc . ,
### Output: 