Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

https://doi.org/10.2307/2582400 • https://www.jstor.org/stable/2582400 Copy URL This paper offers a new approach to the solution of zero-one goal-programming ...

Zebrafish and humans look very different on the outside. Yet about 70 percent of their genes are similar to human genes—including many that can trigger diseases. That makes the animal a popular model ...

[Ron Alsing] wanted to try out some genetic programming, so he created a simple test problem: Could you render the Mona Lisa using just 50 semitransparent polygons? The program starts with a random ...

Implementing a claims-based algorithm and disease management program may be an effective strategy to reduce relapse and cost among patients with schizophrenia. Objectives: To refine a payer algorithm ...

Two major quantum fabrication facilities worth Rs 720 crore will be established at IIT Bombay and IISc Bengaluru to indigenise quantum chip and sensor production under the National Quantum Mission. Dr ...