Fwd: ACM VIPs: Register for September SIGSOFT Webcasts: "Engineering Smart Cyber Physical Systems, "Teaching Future Software Developers, "Probabilistic Programming"

[ganesh bhutkar]

Friends,

Please check out if the talk is of interest to you.

Thanks & Best Regards,

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Prof. Ganesh D. Bhutkar
Faculty Sponsor, VIT, Pune ACM Student Chapter,
PhD Research Scholar at IIT, Bombay &
Assistant Professor, Dept. of Computer Engineering,
Vishwakarma Institute of Technology,
666, Upper Indiranagar,Bibwewadi, 
Pune - 411037.Maharashtra, India.
Contact: +91-20-24202118
Mobile: +91-9822046183
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---------- Forwarded message ----------
From: ACM Learning Center <lear...@hq.acm.org>
Date: Fri, Aug 28, 2015 at 3:21 AM
Subject: ACM VIPs: Register for September SIGSOFT Webcasts: "Engineering Smart Cyber Physical Systems, "Teaching Future Software Developers, "Probabilistic Programming"
To: ACM-WEB...@listserv.acm.org

ACM VIPs: Register for September SIGSOFT Webcasts: "Engineering Smart Cyber Physical Systems, "Teaching Future Software Developers, "Probabilistic Programming" You are receiving this bulletin because you attended a previous ACM Learning Webinar. As such, we consider you a Webinar VIP. In September 2015, ACM and the ACM Special Interest Group on Software Engineering (SIGSOFT) present three free webcasts. Register today! (If you'd like to attend but can't make it to the virtual events, you still need to register to access an on-demand recording of the webinar when it becomes available. You can stream this and all ACM Learning Webinars on your mobile device, including smartphones and tablets). September 8, 2015, 12 PM ET: "Engineering Smart Cyber Physical Systems," with Danny Weyns, Tomas Bures, Bradley Schmerl Cyber-Physical Systems (CPS) are large-scale networked distributed systems that combine various data sources to control real-world ecosystems (e.g. intelligent traffic control). One of the trends is to endow such systems with "smart" capabilities, typically in the form of self-awareness and self-adaptation, along with the traditional qualities of safety and dependability. This webinar reports on the results of the First International Workshop on Software Engineering of Smart Cyber-Physical Systems (SEsCPS 2015), where 25 participants discussed characteristics, challenges and opportunities of SE for smart CPS. The first part discusses "Core Themes" derived from the contributions presented in the morning session of the workshop. Themes include: faults and conflicts; modeling, testing, and verification; and collaboration. The second part elaborates on "Open Research Topics" derived from the results of the workshop's afternoon breakout sessions. Topics include: Aligning Different Disciplines; Human in the Loop; Uncertainty; and Pragmatic vs. Systematic Engineering. The webinar is presented by Danny Weyns, Linnaeus University; Tomas Bures, Charles University; and Bradley Schmerl, Carnegie Mellon University. September 16, 2015, 12 PM ET: "Teaching Future Software Developers," with Václav Rajlich, Will Tracz Both employers and graduate schools expect computer science graduates to be able to work on software projects as developers, yet many computer science programs fail in that fundamental goal. Václav Rajlich of Wayne State University describes how the first software engineering course (1SEC) can be reorganized in order to meet these expectations. The webcast first presents seven common dead-end approaches to 1SEC (“deadly sins”) and how they can be avoided by teaching evolutionary software development (ESD), the current software development mainstream; agile, iterative, and open source processes are variants of ESD. Václav presents his experience with this approach and proposes follow-up courses that would teach additional skills the future developers may need. The webinar is moderated by Will Tracz, Lockheed Martin Fellow Emeritus; Former Chair, ACM SIGSOFT. September 30, 2015, 12 PM ET: "Probabilistic Programming: Algorithms, Applications and Synthesis," with Aditya Nori, Robert Dyer Recent years have seen a huge shift in the kind of programs that most programmers write. Programs are increasingly data-driven instead of being algorithm-driven. They use various forms of machine learning techniques to build models from data, for the purpose of decision-making. Indeed, search engines, social networks, speech recognition, computer vision, and applications that use data from clinical trials, biological experiments, and sensors are all examples of data-driven programs. In this talk, Aditya Nori, Microsoft Research India, describes connections this research area called "Probabilistic Programming" has with programming languages and software engineering—including language design, static and dynamic analysis of programs, and program synthesis. The webinar surveys the current state of the art and speculates on promising directions for future research. Moderated by Robert Dyer, Bowling Green State University. Check out our past events, all available on demand.           To unsubscribe: Enter your email address &*TO; Association for Computing Machinery Advancing Computing as a Science & Profession © 2015 ACM, Inc. All rights reserved

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