BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260410T124443Z UID:553CD1A9-22CF-4E6E-9B1E-8597EE5B16F5 DTSTART;TZID=US/Eastern:20260416T180000 DTEND;TZID=US/Eastern:20260416T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nPython Applications for Digital Design and Sig nal Processing (Orientation / Kickoff) - 6:00PM - 6:30PM EDT\; Thursday\, March 26\, 2026\n\nAdditional videos released weekly in advance of that we ek’s live session!\n\nPython Applications for Digital Design and Signal Processing (Workshops) - 6:00PM – 7:30PM EDT\; Thursdays\, April 2\, 9\, 16\, 23\n\nRegistration is open through the last live workshop date. Live workshops are recorded for later use.\n\nPlease click on the link below t o complete a compliance form. This policy is required to comply with U.S. export control laws and regulations.\n\nhttps://dsp-coach.com/compliance-i eee\n\nPlease note: "If submission fails on your corporate network\, pleas e submit from a personal device or non-corporate network.”\n\nRegistrati on Fees:\n\nIEEE Member Early Rate (by March 24): $190.00\n\nIEEE Member R ate (after March 24): $285.00\n\nIEEE Non-Member Early Rate (by March 24): $210.00\n\nIEEE Non-Member Rate (after March 24): $315.00\n\nEarly regist ration deadline is: Tuesday\, March 24\, 2026\n\nDecision to run/cancel co urse: Tuesday\, March 24\, 2026\n\nCourse Information will be distributed on Tuesday\, March 24\, 2026 in advance of and in preparation for the firs t live workshop session. A live orientation session will be held on Thursd ay\, March 26\, 2026\n\nAttendees will have access to the recorded session and exercises for two months (until June 23\, 2026) after the\nlast live session 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-sour ce Python programming language.\n\nPre-Recorded Videos: The course format has been updated to release pre-recorded video lectures that students 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 videos will a lso be available to the students for viewing for up to two months after th e conclusion of the course.\n\nOverview: Dan provides simple\, straight-fo rward navigation through the multiple configurations and options\, providi ng a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digit al design verification. Students will be using the Anaconda distribution\, which combines Python with the most popular data science applications\, a nd Jupyter Notebooks for a rich\, interactive experience.\n\nThe course be gins with basic Python data structures and constructs\, including key “P ythonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design.\n\n During the course students will create example designs including a sigma d elta converter and direct digital synthesizer both in floating point and f ixed point. This will include considerations for cycle and bit accurate mo dels useful for digital design verification (FPGA/ASIC)\, while bringing f orward the signal processing tools for frequency and time domain analysis. \n\nJupyter Notebooks: This course makes extensive use of Jupyter Notebook s which combines running Python code with interactive plots and graphics f or a rich user experience. Jupyter Notebooks is an open-source web-based a pplication (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphics\, visualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications i n signal processing.\n\nTarget Audience: This course is targeted toward us ers with little to no prior experience in Python\, however familiarity wit h other modern programming languages and an exposure to object-oriented co nstructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Ma tlab or Octave is not required\, but the equivalent operations in Python u sing the NumPy package will be provided for those students that do current ly use Matlab and/or Octave for signal processing applications.\n\nBenefit s of Attending / Goals of Course: Attendees will gain an overall appreciat ion of using Python and quickly get up to speed in best practice use of Py thon.\n\nAll set-up information for the installation of all tools will be provided before the start of class.\n\nSpeaker(s): Dan Boschen \, \n\nAgen da: \nTopics / Schedule:\n\nPre-recorded lectures (3 hours each) will be d istributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below:\n\nKick-off / Orientation: March 24\ , 2026\n\nThursday\, April 2\, 2026\n\nTopic 1: Intro to Jupyter Notebooks \, the Spyder IDE and the course design examples. Core Python constructs.\ n\nThursday\, April 9\, 2026\n\nTopic 2: Core Python constructs\; iterator s\, functions\, reading writing data files.\n\nThursday\, April 16\, 2026\ n\nTopic 3: Signal processing simulation with popular packages including N umPy\, SciPy\, and Matplotlib.\n\nThursday\, April 23\, 2026\n\nTopic 4: B it/cycle accurate modelling and analysis using the design examples and sim ulation packages\n\nVirtual: https://events.vtools.ieee.org/m/532489 LOCATION:Virtual: https://events.vtools.ieee.org/m/532489 ORGANIZER:k.safina@ieee.org SEQUENCE:78 SUMMARY:Python Applications for Digital Design and Signal Processing URL;VALUE=URI:https://events.vtools.ieee.org/m/532489 X-ALT-DESC:Description: <br /><p><a href="https://ieeeboston.org/event/pyth onapplications/?instance_id=3232">COURSE DESCRIPTION</a></p>\n<p><strong>P ython Applications for Digital Design and Signal Processing (Orientation / Kickoff)</strong> - 6:00PM - 6:30PM EDT\; Thursday\, March 26\, 2026</p>\ n<p>Additional videos released weekly in advance of that week&rsquo\;s liv e session!</p>\n<p><strong>Python Applications for Digital Design and Sign al Processing (Workshops) -&nbsp\;</strong>6:00PM &ndash\; 7:30PM EDT\; Th ursdays\, April 2\, 9\, 16\, 23</p>\n<p>Registration is open through the l ast live workshop date.&nbsp\; Live workshops are recorded for later use.& nbsp\;</p>\n<p class="MsoNormal"><span style="font-size: 11.0pt\; line-hei ght: 115%\; font-family: 'Arial'\,sans-serif\;">Please click on the link b elow to complete a compliance form.<span style="mso-spacerun: yes\;">&nbsp \; </span>This policy is required to comply with U.S. export control laws and regulations.</span></p>\n<p class="MsoNormal"><a href="https://dsp-coa ch.com/compliance-ieee" target="_blank" rel="noopener"><span style="font-s ize: 11.0pt\; line-height: 115%\; font-family: 'Arial'\,sans-serif\;">http s://dsp-coach.com/compliance-ieee</span></a></p>\n<p class="MsoNormal"><em ><strong><span style="font-size: 11.0pt\; line-height: 115%\; font-family: 'Arial'\,sans-serif\;">Please note:&nbsp\; "If submission fails on your c orporate network\, please submit from a personal device or non-corporate n etwork.&rdquo\;&nbsp\;&nbsp\;</span></strong></em></p>\n<p><strong>Registr ation Fees:&nbsp\;</strong></p>\n<p>IEEE Member Early Rate (by March 24):& nbsp\; $190.00</p>\n<p>IEEE Member Rate (after March 24):&nbsp\; $285.00</ p>\n<p>IEEE Non-Member Early Rate (by March 24):&nbsp\; $210.00</p>\n<p>IE EE Non-Member Rate (after March 24):&nbsp\; $315.00</p>\n<p>Early registra tion deadline is:&nbsp\; Tuesday\, March 24\, 2026</p>\n<p>Decision to run /cancel course: &nbsp\;Tuesday\, March 24\, 2026</p>\n<p>Course Informatio n will be distributed on Tuesday\, March 24\, 2026 in advance of and in pr eparation for the first live workshop session. &nbsp\;A live orientation s ession will be held on Thursday\, March 26\, 2026</p>\n<p>Attendees will h ave access to the recorded session and exercises for two months (until Jun e 23\, 2026) after the<br>last live session ends!</p>\n<p>This is a hands- on course combining pre-recorded lectures with live Q&amp\;A and workshop sessions in the popular and powerful open-source Python programming langua ge.</p>\n<p><strong>Pre-Recorded Videos: </strong>&nbsp\;The course format has been updated 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 w ill also be available to the students for viewing for up to two months aft er the conclusion of the course.</p>\n<p><strong>Overview:&nbsp\;</strong> Dan provides simple\, straight-forward navigation through the multiple con figurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applicatio ns in signal processing and digital design verification. Students will be using the Anaconda distribution\, which combines Python with the most popu lar data science applications\, and Jupyter Notebooks for a rich\, interac tive experience.</p>\n<p>The course begins with basic Python data structur es and constructs\, including key &ldquo\;Pythonic&rdquo\; concepts\, foll owed by an overview and use of popular packages for scientific computing e nabling rapid prototyping for system design.</p>\n<p>During the course stu dents will create example designs including a sigma delta converter and di rect digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digit al design verification (FPGA/ASIC)\, while bringing forward the signal pro cessing tools for frequency and time domain analysis.</p>\n<p><strong>Jupy ter Notebooks:</strong>&nbsp\;This course makes extensive use of Jupyter N otebooks which combines running Python code with interactive plots and gra phics for a rich user experience. Jupyter Notebooks is an open-source web- based application (that can be run locally) that allows users to create an d share visually appealing documents containing code\, graphics\, visualiz ations and interactive plots. Students will be able to interact with the n otebook contents and use &ldquo\;take-it-with-you&rdquo\; results for futu re applications in signal processing.</p>\n<p><strong>Target Audience:</st rong>&nbsp\;This course is targeted toward users with little to no prior e xperience in Python\, however familiarity with other modern programming la nguages and an exposure to object-oriented constructs is very helpful. Stu dents should be comfortable with basic signal processing concepts in the f requency and time domain. Familiarity with Matlab or Octave is not require d\, but the equivalent operations in Python using the NumPy package will b e provided for those students that do currently use Matlab and/or Octave f or signal processing applications.</p>\n<p><strong>Benefits of Attending / Goals of Course:</strong> Attendees will gain an overall appreciation of using Python and 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 wi ll 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-r ecorded lectures (3 hours each) will be distributed Friday prior to all Wo rkshop dates. Workshop/ Q&amp\;A Sessions are 6pm-7:30pm on the dates list ed below:</p>\n<p>Kick-off / Orientation:&nbsp\; March 24\, 2026</p>\n<p>< u>Thursday\, April 2\, 2026</u></p>\n<p><em>Topic 1:</em>&nbsp\;Intro to J upyter Notebooks\, the Spyder IDE and the course design examples. Core Pyt hon constructs.</p>\n<p><u>Thursday\, April 9\, 2026</u></p>\n<p><em>Topic 2</em>: Core Python constructs\; iterators\, functions\, reading writing data files.</p>\n<p><u>Thursday\, April 16\, 2026</u></p>\n<p><em>Topic 3: </em>&nbsp\;Signal processing simulation with popular packages including N umPy\, SciPy\, and Matplotlib.</p>\n<p><u>Thursday\, April 23\, 2026</u></ p>\n<p><em>Topic 4</em>: Bit/cycle accurate modelling and analysis using t he design examples and simulation packages</p> END:VEVENT END:VCALENDAR