BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221004T200111Z UID:8C6AF7BD-9F97-423E-A516-92E932F82559 DTSTART;TZID=US/Eastern:20220927T180000 DTEND;TZID=US/Eastern:20220927T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nFirst Video Release\, Wednesday\, September 7\ , 2022. Additional videos released weekly in advance of that week’s live session!\n\nLive Workshops: 6:00PM – 7:30PM EDT\, Tuesdays\, September 13\, 20\, 27\, October 4\n\nAttendees will have access to the recorded ses sion and exercises for two months (until December 4) after the live sessio n ends!\n\nThis is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Pyt hon programming language.\n\nNew Format with Pre-Recorded Videos: The cou rse format has been updated to release pre-recorded video lectures that st udents can watch on their own schedule\, and an unlimited number of times\ , prior to live Q&A workshop sessions on Zoom with the instructor. The vid eos will also be available to the students for viewing for up to two month s after the conclusion of the course.\n\nOverview: Dan provides simple\, s traight-forward navigation through the multiple configurations and options \, providing a best-practices approach for quickly getting up to speed usi ng Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda dist ribution\, which combines Python with the most popular data science applic ations\, and Jupyter Notebooks for a rich\, interactive experience.\n\nThe course begins with basic Python data structures and constructs\, includin g key “Pythonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system d esign.\n\nDuring the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating p oint and fixed point. This will include considerations for cycle and bit a ccurate models useful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis.\n\nSpeaker(s): Dan Boschen \, \n\nAgenda: \nTuesday\, September 13\n\nTopic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.\n\nTuesday\, September 20\n\nTop ic 2: Core Python constructs\; iterators\, functions\, reading writing dat a files.\n\nTuesday\, September 27\n\nTopic 3: Signal processing simulatio n with popular packages including NumPy\, SciPy\, and Matplotlib.\n\nTuesd ay\, October 4\n\nTopic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages\n\nVirtual: https://events.vt ools.ieee.org/m/301553 LOCATION:Virtual: https://events.vtools.ieee.org/m/301553 ORGANIZER:k.safina@ieee.org SEQUENCE:7 SUMMARY:Python Applications for Digital Design and Signal Processing URL;VALUE=URI:https://events.vtools.ieee.org/m/301553 X-ALT-DESC:Description: <br /><p><a href="https://ieeeboston.org/event/pyth onapplications/?instance_id=3232">COURSE DESCRIPTION</a></p>\n<p>First Vid eo Release\, Wednesday\, September 7\, 2022.&nbsp\; &nbsp\;Additional vide os released weekly in advance of that week&rsquo\;s live session!</p>\n<p> Live Workshops:&nbsp\; 6:00PM &ndash\; 7:30PM EDT\, Tuesdays\, September 1 3\, 20\, 27\, October 4</p>\n<p>Attendees will have access to the recorded session and exercises for two months (until December 4) after the live se ssion ends!</p>\n<p>This is a hands-on course combining pre-recorded lectu res with live Q&amp\;A and workshop sessions in the popular and powerful o pen-source Python programming language.</p>\n<p><strong>New Format with Pr e-Recorded Videos:&nbsp\;</strong>&nbsp\;The course format has been update d to release pre-recorded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&amp\;A w orkshop sessions on Zoom with the instructor. The videos will also be avai lable to the students for viewing for up to two months after the conclusio n of the course.</p>\n<p><strong>Overview:&nbsp\;</strong>Dan provides sim ple\, straight-forward navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to sp eed using Python for modelling and analysis for applications in signal pro cessing and digital design verification. Students will be using the Anacon da distribution\, which combines Python with the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience. </p>\n<p>The course begins with basic Python data structures and construct s\, including key &ldquo\;Pythonic&rdquo\; concepts\, followed by an overv iew and use of popular packages for scientific computing enabling rapid pr ototyping for system design.</p>\n<p>During the course students will creat e example designs including a sigma delta converter and direct digital syn thesizer both in floating point and fixed point. This will include conside rations for cycle and bit accurate models useful for digital design verifi cation (FPGA/ASIC)\, while bringing forward the signal processing tools fo r frequency and time domain analysis.</p><br /><br />Agenda: <br /><p><u>T uesday\, September 13</u></p>\n<p><em>Topic 1:</em>&nbsp\;Intro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python co nstructs.</p>\n<p><u>Tuesday\, September 20&nbsp\;</u></p>\n<p><em>Topic 2 </em>: Core Python constructs\; iterators\, functions\, reading writing da ta files.</p>\n<p><u>Tuesday\, September 27</u></p>\n<p><em>Topic 3:</em>& nbsp\;Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.</p>\n<p><u>Tuesday\, October 4</u></p>\n<p><em>To pic 4</em>: Bit/cycle accurate modelling and analysis using the design exa mples and simulation packages</p> END:VEVENT END:VCALENDAR