PPT-Programming by Examples
Author : mitsue-stanley | Published Date : 2016-04-11
Marktoberdorf Lectures August 2015 Sumit Gulwani Domainspecific Languages 1 Lecture 2 2 PBE Architecture Examplebased specification Search Algorithm Challenge 1
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Programming by Examples: Transcript
Marktoberdorf Lectures August 2015 Sumit Gulwani Domainspecific Languages 1 Lecture 2 2 PBE Architecture Examplebased specification Search Algorithm Challenge 1 Ambiguousunderspecified . Dr. Jeyakesavan Veerasamy. CS faculty, University of Texas at Dallas. Email: jeyv@utdallas.edu . Website: www.utdallas.edu/~jeyv. Agenda. Difficulties in attracting students to STEM careers & specifically CS - what can we do?. by Demonstration. Kerry Chang. Human-Computer Interaction Institute. Carnegie Mellon University. 05-899D: Human Aspects of Software Development (HASD. ). Spring 2011 – Lecture 25. History. Direct Manipulation: Allows users to interact with the computer by pointing to objects on the screen and manipulating them using a mouse and keyboard. (Ben . Marktoberdorf Lectures. August 2015. Sumit Gulwani. Demos of Programming-by-Examples Tools . Dealing with Ambiguity in Example-based specification. 1. Lecture . 1. 2. Programming by Examples. Program synthesis: . 1. Lecture Content. Fibonacci Numbers Revisited. Dynamic Programming. Examples. Homework. 2. 3. Fibonacci Numbers Revisited. Calculating the n-. th. Fibonacci Number with recursion has proved to be . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand
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