1. FLIPPED CLASSROOM ACTIVITY CONSTRUCTOR – USING EXISTING CONTENT

2. Table of Contents SECTION SLIDE # 5 10 20 ABOUT YOU 3
OUT-OF-CLASS SEGMENT 5
IN-CLASS SEGMENT 10
EVALUATION 20
COMMUNITY BUILDING

3. About Me
I am Vinod J. Kadam, Assistant Professor in Department of Information Technology, Dr.BATU, Lonere Maharashtra. My topic:-The McCulloch-Pitts model About Topic:- The McCulloch-Pitts model is an extremely simple artificial neuron. We see its equation and learning process. We will also learn to design simple Gates using this model

4. Vinod J.Kadam McCulloch Pitts Model Artificial Neural Network Computer
Final Year UG students in IT
Dr.Babasaheb Ambedkar Technological University

5. Out-of-class Activity Design-1
Learning Objective(s) of Out-of-Class Activity
At the end of watching the videos student should be able to
Explain simple McCulloch Pitts Model and it’s equation using graph
Explain Linear threshold function using neat diagram.
Design NOR gate and NAND gate using McCulloch Model.
Key Concept(s) to be covered
McCulloch Pitts Model and it’s equation
Linear threshold function
Graphical Representation of the model
Simple neuron models: NOR gate
NAND gate

6. Out-of-class Activity Design - 2
Main Video Source URL
License of Video
CC-BY-SA (reuse allowed)
Mapping Concept to Video Source
CONCEPT
VIDEO SEGMENT
DURATION
(in min)
McCulloch Pitts Model and it’s equation
V1 - 00:00 – 1:32
1.32
Linear threshold function
V2 – 1:33 – 2.06
0.33
Graphical Representation of the model
V3 – 2.07 – 3.13
1.06
Simple neuron models: NOR gate
V4 - 3:14 – 4.00
0.46
Simple neuron models: NAND gate
V5 – 4.01 – 4.48
0.47
TOTAL DURATION
5.29 min

7. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Understand simple McCulloch Pitts Model and it’s equation
Q.1 .This model has ability to learn. True or False, Justify .
5 minutes
Watch V1 and then answer Q1,Q2

8. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Explain Linear threshold function
Q.1. What is nature of function F(x) in McCulloch Pits Models? Linear or Nonlinear. Explain.
5 minutes
Watch V2 and then answer Q1

9. Out-of-class Activity Design - 3
Aligning Assessment with Learning Objective
Learning Objective
Assessment Strategy
Expected Duration
(in min)
Additional Instructions (if any)
Design NOR gate and NAND gate using McCulloch Model
Q.1 If ‘b’ in the figure below is the bias, then what logic circuit does it represents?
5 minutes
Submit answers to all questions 3 hours before coming to class.
Total activity duration
15 minutes

10. In-class Activity Design -1
Learning Objective(s) of In-Class Activity
At the end of the class, students will be able to,
Design Memory Cell and basic Universal gates (AND,OR and NOT) by setting weights and thresholds
Design Simple Model of Artificial Neural Network
Key Concept(s) to be covered
Use of McCulloch pitts Model for memory cell
Learning process of Neural Network

11. In-class Activity Design -2
Active Learning activity(ies) that you plan to do
Concept Clarification using.
Think-Pair-Share
Concept clarification using.
Peer Instruction

12. In-class Activity Design -2
Peer Instruction Strategy – What Teacher Does
Pose the three PI questions at the start of the class and provide summary of McCulloch Model and Explain learning process of Neural network.
Q 1: Design AND and NOR gate using McCulloch Model.

13. In-class Activity Design -2
Peer Instruction Strategy – What Teacher Does
Q 2: Design Memory Cell Using McCulloch Model.

14. In-class Activity Design -2
Peer Instruction Strategy – What Teacher Does
Q 3: If feedback is given to update weights, Can we improve the model?

15. In-class Activity Design -2
Peer Instruction Strategy – What Student Does
For each question they will first vote individually.
Then they will discuss with peers and come to consensus.
Listen to instructors explanation.

16. In-class Activity Design -2
TPS Strategy – What Instructor does
The main “ideological” problems of the McCulloch-Pitts model were that the network must be completely specified before its using and there were no free parameters to suit different problems. Learning can only be implemented by modifying the connection pattern of the network and the thresholds of the units, which is necessarily more complex than just adjusting numerical parameters. We can modify this Mcculloch model for understanding simple learning process of Artificial Neural network.

17. In-class Activity Design -2
TPS Strategy – What Instructor does
Think (~2 minutes)
Instruction: consider following diagram and calculate output for
Case 1:x1 is 0.8 and x2 is 0.3
Case 2:-x1 0.4 and x2=0.1
If target output for case 1 is 1 and that of case 2 is 0,then what should be weights?

18. In-class Activity Design -2
TPS Strategy – What Instructor does
Pair (~5 minutes)
Instruction: Now pair up and compare your answers. Agree on one final answer.
While students are pairing and discussing, instructor goes to 2~3 sections to see
what they are doing.

19. In-class Activity Design -2
TPS Strategy – What Instructor does
Share (~8 minutes)
Instructor asks a group to share their answer with class and see whether there are different answers. After sharing is done, instructor gives feedback on the correct solution.
Instructor will explain weight updating concept
Dwi = c(t – z) xi

20. In-class Activity Design -2
Justify why the above is an active learning strategy
In both the above strategies, students are required to go beyond mere listening and execution of prescribed steps. They are required to think deeply about the content they were familiarized in out-of-class and do higher order thinking.
There is also feedback provided (either through peer discussion or instructor summary)