BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241003T200108Z UID:80DB9D6F-5C35-45B9-A9E1-369A7467C3C1 DTSTART;TZID=US/Eastern:20240926T180000 DTEND;TZID=US/Eastern:20240926T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nCourse Kick-off / Orientation 6:00PM - 6:30PM EDT\; Thursday\, August 29\, 2024\n\nLive Workshops: 6:00PM – 7:30PM EDT \; Thursdays\, September 5\, 12\, 19\, 26\n\nRegistration is open through the last live workshop date. Live workshops are recorded for later use.\n\ nRegistration Fees:\n\nIEEE Member Early Rate (August 28): $190.00\n\nIEEE Member Rate (after August 28): $285.00\n\nIEEE Non-Member Early Rate (by August 28): $210.00\n\nIEEE Non-Member Rate (after August 28): $315.00\n\n Decision to run/cancel course: Thursday\, August 22\, 2024\n\nCourse infor mation will be distributed by Wednesday August 28\, and then a brief live Orientation meeting will be held on Thursday August 29 ahead of the weekly live workshops that follow.\n\nAttendees will have access to the recorded session and exercises for two months (until November 26\, 2024) after the \nlast live session ends!\n\nThis is a hands-on course combining pre-recor ded lectures with live Q&A and workshop sessions in the popular and powerf ul open-source Python programming language.\n\nPre-Recorded Videos: The c ourse format has been updated to release pre-recorded video lectures that students can watch on their own schedule\, and an unlimited number of time s\, prior to live Q&A workshop sessions on Zoom with the instructor. The v ideos will also be available to the students for viewing for up to two mon ths after the conclusion of the course.\n\nOverview: Dan provides simple\, straight-forward navigation through the multiple configurations and optio ns\, providing a best-practices approach for quickly getting up to speed u sing Python for modelling and analysis for applications in signal processi ng and digital design verification. Students will be using the Anaconda di stribution\, which combines Python with the most popular data science appl ications\, and Jupyter Notebooks for a rich\, interactive experience.\n\nT he course begins with basic Python data structures and constructs\, includ ing key “Pythonic” concepts\, followed by an overview and use of popul ar packages for scientific computing enabling rapid prototyping for system design.\n\nDuring the course students will create example designs includi ng a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPGA/ASIC)\, whil e bringing forward the signal processing tools for frequency and time doma in analysis.\n\nJupyter Notebooks: This course makes extensive use of Jupy ter Notebooks which combines running Python code with interactive plots an d graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows users to crea te and share visually appealing documents containing code\, graphics\, vis ualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future ap plications in signal processing.\n\nTarget Audience: This course is target ed toward users with little to no prior experience in Python\, however fam iliarity with other modern programming languages and an exposure to object -oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familia rity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students tha t do currently use Matlab and/or Octave for signal processing applications .\n\nBenefits of Attending / Goals of Course: Attendees will gain an overa ll appreciation of using Python and quickly get up to speed in best practi ce use of Python.\n\nAll set-up information for the installation of all to ols will be provided before the start of class.\n\nSpeaker(s): Dan Boschen \, \n\nAgenda: \nTopics / Schedule:\n\nPre-recorded lectures (3 hours eac h) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A S essions are 6pm-7:30pm on the dates listed below:\n\nKick-off / Orientatio n: Thursday\, August 29\, 2024\n\nThursday\, September 5\, 2024\n\nTopic 1 : Intro to Jupyter Notebooks\, the Spyder IDE and the course design exampl es. Core Python constructs.\n\nThursday\, September 12\, 2024\n\nTopic 2: Core Python constructs\; iterators\, functions\, reading writing data file s.\n\nThursday\, September 19\, 2024\n\nTopic 3: Signal processing simulat ion with popular packages including NumPy\, SciPy\, and Matplotlib.\n\nThu rsday\, September 26\, 2024\n\nTopic 4: Bit/cycle accurate modelling and a nalysis using the design examples and simulation packages\n\nVirtual: http s://events.vtools.ieee.org/m/422879 LOCATION:Virtual: https://events.vtools.ieee.org/m/422879 ORGANIZER:k.safina@ieee.org SEQUENCE:48 SUMMARY:Python Applications for Signal Processing and Digital Design URL;VALUE=URI:https://events.vtools.ieee.org/m/422879 X-ALT-DESC:Description: <br /><p><a href="https://ieeeboston.org/event/pyth onapplications/?instance_id=3232">COURSE DESCRIPTION</a></p>\n<p>Course Ki ck-off / Orientation 6:00PM - 6:30PM EDT\; Thursday\, August 29\, 2024</p> \n<p>Live Workshops:&nbsp\; 6:00PM &ndash\; 7:30PM EDT\; Thursdays\, Septe mber 5\, 12\, 19\, 26</p>\n<p>Registration is open through the last live w orkshop date.&nbsp\; Live workshops are recorded for later use.&nbsp\;</p> \n<p>Registration Fees:&nbsp\;</p>\n<p>IEEE Member Early Rate (August 28): &nbsp\; $190.00</p>\n<p>IEEE Member Rate (after August 28):&nbsp\; $285.00 </p>\n<p>IEEE Non-Member Early Rate (by August 28):&nbsp\; $210.00</p>\n<p >IEEE Non-Member Rate (after August 28):&nbsp\; $315.00</p>\n<p>Decision t o run/cancel course:&nbsp\; Thursday\, August 22\, 2024</p>\n<p>Course inf ormation will be distributed by Wednesday August 28\, and then a brief liv e Orientation meeting will be held on Thursday August 29 ahead of the week ly live workshops that follow.</p>\n<p>Attendees will have access to the r ecorded session and exercises for two months (until November 26\, 2024) af ter the<br>last live session ends!</p>\n<p>This is a hands-on course combi ning pre-recorded lectures with live Q&amp\;A and workshop sessions in the popular and powerful open-source Python programming language.</p>\n<p><st rong>Pre-Recorded Videos: </strong>&nbsp\;The course format has been updat ed 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 workshop sessions on Zoom with the instructor. The videos will also be ava ilable to the students for viewing for up to two months after the conclusi on of the course.</p>\n<p><strong>Overview:&nbsp\;</strong>Dan provides si mple\, straight-forward navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to s peed using Python for modelling and analysis for applications in signal pr ocessing and digital design verification. Students will be using the Anaco nda distribution\, which combines Python with the most popular data scienc e applications\, and Jupyter Notebooks for a rich\, interactive experience .</p>\n<p>The course begins with basic Python data structures and construc ts\, including key &ldquo\;Pythonic&rdquo\; concepts\, followed by an over view and use of popular packages for scientific computing enabling rapid p rototyping for system design.</p>\n<p>During the course students will crea te example designs including a sigma delta converter and direct digital sy nthesizer both in floating point and fixed point. This will include consid erations for cycle and bit accurate models useful for digital design verif ication (FPGA/ASIC)\, while bringing forward the signal processing tools f or frequency and time domain analysis.</p>\n<p><strong>Jupyter Notebooks:< /strong>&nbsp\;This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics for a ric h user experience. Jupyter Notebooks is an open-source web-based applicati on (that can be run locally) that allows users to create and share visuall y appealing documents containing code\, graphics\, visualizations and inte ractive plots. Students will be able to interact with the notebook content s and use &ldquo\;take-it-with-you&rdquo\; results for future applications in signal processing.</p>\n<p><strong>Target Audience:</strong>&nbsp\;Thi s course is targeted toward users with little to no prior experience in Py thon\, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and ti me domain. Familiarity with Matlab or Octave is not required\, but the equ ivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal proce ssing applications.</p>\n<p><strong>Benefits of Attending / Goals of Cours e:</strong> Attendees will gain an overall appreciation of using Python an d quickly get up to speed in best practice use of Python.</p>\n<p><strong> All set-up information for the installation of all tools will be provided before the start of class.</strong></p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p><strong>Topics / Schedule:</strong></p>\n<p>Pre-recorded lecture s (3 hours each) will be distributed Friday prior to all Workshop dates. W orkshop/ Q&amp\;A Sessions are 6pm-7:30pm on the dates listed below:</p>\n <p>Kick-off / Orientation:&nbsp\; Thursday\, August 29\, 2024</p>\n<p><u>T hursday\, September 5\, 2024</u></p>\n<p><em>Topic 1:</em>&nbsp\;Intro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Py thon constructs.</p>\n<p><u>Thursday\, September 12\, 2024</u></p>\n<p><em >Topic 2</em>: Core Python constructs\; iterators\, functions\, reading wr iting data files.</p>\n<p><u>Thursday\, September 19\, 2024</u></p>\n<p><e m>Topic 3:</em>&nbsp\;Signal processing simulation with popular packages i ncluding NumPy\, SciPy\, and Matplotlib.</p>\n<p><u>Thursday\, September 2 6\, 2024</u></p>\n<p><em>Topic 4</em>: Bit/cycle accurate modelling and an alysis using the design examples and simulation packages</p> END:VEVENT END:VCALENDAR