Course Schedule

This schedule is provisional. Changes could be made at any time. Please, keep checking.

Date	Contents	Notes	Student presentation and discussions

Week 1 Tuesday	Administration - introduction	Guest lecture: Dr. Boon Sain Yeo Institute for Infocomm Research (I2R), Singapore 7 - 8 pm	Discussion: what is my goal in this course?
Thursday	Topic 1 : Introduction to AI, NN and machine learning
Week 2	Topic 2: Supervised learning, Perceptron, Adaline
March 17
Week 3			Debate 1
March 24	Topic 3: MLP	Guest speaker: NN and intrusion detection	Tool 1
Week 4		Thursday: NN in signal change detection	Debate 2 Tool 2
Week 5	Topic 4: RBF Topic 5: Time dynamics in NN	Due: research/project topic description	Debate 3 Tool 3
	Topic 6: Hebbian learning
Week 6	Topic 7: Recurrent NN		Tool 4
Week 6	Topic 8: Competitive NN		Debate 4
Week 7	Topic 9: SOM		Debate 5
April 18	Topic 10: Hopfield NN		Debate 6 Tool 5
Week 8	Topic 11: Machine learning, knowledge engineering, fuzzy systems	April 26 Home project due	Tool 6
	NN design dilemma: hardware vs. software implementation

May 3	Test
May 5	Research and project presentations	Research paper due
May 10		Project due
May 12

DEBATES


1	Week 3 T	Simple Perceptron vs. Adaline	Brian + Anusha	Carlos + Lomax
2	Week 4 T	Multilayer Perceptron vs. RBF	Martin + Doug	Jeremiah + Jason
3	Week 5 T	MLP& RBF vs. Support Vector Machine	Gerald + Sal	Kalyan + Sunny
4	Week 6 R	Hebbian Learning vs. Competetive Learning	William + Matt	Agustin + Muneeb
5	Week 7 T	Recurrent NN and Hopfield NN	Andy F + Adam	Pavel + Sahil
6	Week 7 R	My Favorite NN is ... (pick up any not considered above)	Raja + Lokesh	Andrew K + Gavin

TOOLS


1	Week 3 T	NN tools review	William + Matt
2	week 4 T	Matlab NN Toolbox	Andrew K + Gavin +Raja + Lokesh	Brian + Anusha
3	week 5 T	NeuroSolutions	Gerald + Sal	Carlos + Lomax
4	week 5 R	Java frameworks for NN (Joone and others)	Andy F + Adam	Pavel + Sahil
5	week 7 R	C# frameworks for NN	Agustin + Muneeb	Kalyan + Sunny
6	week 8 T	Matlab ANFIS (FL Toolbox)	Jeremiah+ Martin	Doug + Jason