numerical computation project

School of Computer Science and Engineering

Cal State University San Bernardino

Final Project

Numerical Computation Project

Numerical ComputationProject

What is Numerical Computation?

Numerical Computation

Project

Project

• Project Description – Form a group

• Group project, 3 members per group

• Exceptional 1-member group is acceptable, demonstrate the ability to complete individually

• Due: Oct. 26th, 2020 (send me the names of group members and project topic)

– Learn one state of the art multivariate analysis method • NMF, PCA, ICA, NN, CNN, etc.

– Apply matrix analysis and numerical computation on real world data sets • image, video, audio, social media, sensory signals, etc.

What is Numerical Computation?

Numerical Computation

Project

Project

• Project Topics – Given topics

• Numerical computing in econometrics

• Applications of the SVD

• Multi-level non-negative matrix factorization

• Multi-view non-negative matrix factorization

• Advanced principal component analysis

• Binary independent component analysis

• 1D convolutional neural networks

• Survey of automatic rank determination in non-negative matrix factorization

– Free optional topics • You can also search and select a topic other than above given topics as

your final project. But your topic should be related to matrix, multivariate analysis and numerical computation. Please send me your topic for approval in advance if you choose a free optional topic.

What is Numerical Computation?

Numerical Computation

Project

Project

• Project Deliveries – Project proposal (template will be given)

• Topic, method, application, novelty

• Novelty (new investigation, new trials, new idea, new design, technology improvement)

• Due: Oct. 30th, 2020

– Presentation (10m presentation)

– Project report • Experiment and discussions

• Findings and conclusions

• In paper format (template will be given)

• Due: Dec. 2nd, 2020

• Good quality project reports will be refined and polished by Dr. Sun and submitted for publication

• https://cscsu-conference.github.io/