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:20260714T193242Z UID:7FD0F7A1-89E4-4BBA-BC41-19D90C06D3F7 DTSTART;TZID=US/Eastern:20261008T180000 DTEND;TZID=US/Eastern:20261008T183000 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\, October 8\, 2026\n\nAdditional videos released weekly in advance of that w eek’s live session!\n\nPython Applications for Digital Design and Signal Processing (Workshops) - 6:00PM – 7:30PM EDT\; Thursdays\, October 16\, 22\, 29 and November 5\n\nRegistration is open through the last live work shop date. Live workshops are recorded for later use.\n\nPlease click on t he link below to complete a compliance form. This policy is required to co mply with U.S. export control laws and regulations.\n\nhttps://dsp-coach.c om/compliance-ieee\n\nPlease note: "If submission fails on your corporate network\, please submit from a personal device or non-corporate network. ”\n\nRegistration Fees:\n\nIEEE Member Early Rate (by October 2): $190.0 0\n\nIEEE Member Rate (after October 2): $285.00\n\nIEEE Non-Member Early Rate (by October 2): $210.00\n\nIEEE Non-Member Rate (after October 2): $3 15.00\n\nEarly registration deadline is: Friday\, October 2\, 2026\n\nDeci sion to run/cancel course: Tuesday\, October 6\, 2026\n\nCourse Informatio n will be distributed on Tuesday\, October 6\, 2026 in advance of and in p reparation for the first live workshop session. A live orientation session will be held on Thursday\, October 8\, 2026\n\nAttendees will have access to the recorded session and exercises for two months (until January 5\, 2 027) after the\nlast live session ends!\n\nThis is a hands-on course combi ning pre-recorded lectures with live Q&A and workshop sessions in the popu lar and powerful open-source 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 ins tructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course.\n\nOverview: Dan pro vides simple\, straight-forward navigation through the multiple configurat ions and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in s ignal processing and digital design verification. Students will be using t he Anaconda distribution\, which combines Python with the most popular dat a science applications\, and Jupyter Notebooks for a rich\, interactive ex perience.\n\nThe course begins with basic Python data structures and const ructs\, including key “Pythonic” concepts\, followed by an overview an d use of popular packages for scientific computing enabling rapid prototyp ing for system design.\n\nDuring the course students will create example d esigns including a sigma delta converter and direct digital synthesizer bo th in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPG A/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis.\n\nJupyter Notebooks: This course makes extensi ve use of Jupyter Notebooks which combines running Python code with intera ctive plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (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 in signal processing.\n\nTarget Audience: This co urse is targeted toward users with little to no prior experience in Python \, however familiarity with other modern programming languages and an expo sure to object-oriented constructs is very helpful. Students should be com fortable with basic signal processing concepts in the frequency and time d omain. Familiarity with Matlab or Octave is not required\, but the equival ent operations in Python using the NumPy package will be provided for thos e students that do currently use Matlab and/or Octave for signal processin g applications.\n\nBenefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.\n\nAll set-up information for the installa tion of all tools will be provided before the start of class.\n\nSpeaker(s ): Dan Boschen \, \n\nAgenda: \nTopics / Schedule:\n\nPre-recorded lecture s (3 hours each) will be distributed Friday prior to all Workshop dates. W orkshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below:\n\nKick-of f / Orientation: October 8\, 2026\n\nThursday\, October 16\, 2026\n\nTopic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course design exam ples. Core Python constructs.\n\nThursday\, October 22\, 2026\n\nTopic 2: Core Python constructs\; iterators\, functions\, reading writing data file s.\n\nThursday\, October 29\, 2026\n\nTopic 3: Signal processing simulatio n with popular packages including NumPy\, SciPy\, and Matplotlib.\n\nThurs day\, November 5\, 2026\n\nTopic 4: Bit/cycle accurate modelling and analy sis using the design examples and simulation packages\n\nVirtual: https:// events.vtools.ieee.org/m/567897 LOCATION:Virtual: https://events.vtools.ieee.org/m/567897 ORGANIZER:k.safina@ieee.org SEQUENCE:19 SUMMARY:Python Applications for Digital Design and Signal Processing URL;VALUE=URI:https://events.vtools.ieee.org/m/567897 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\, October 8\, 2026</p> \n<p>Additional videos released weekly in advance of that week&rsquo\;s li ve session!</p>\n<p><strong>Python Applications for Digital Design and Sig nal Processing (Workshops) -&nbsp\;</strong>6:00PM &ndash\; 7:30PM EDT\; T hursdays\, October 16\, 22\, 29 and November 5</p>\n<p>Registration is ope n through the last live workshop date.&nbsp\; Live workshops are recorded for later use.&nbsp\;</p>\n<p class="MsoNormal"><span style="font-size: 11 .0pt\; line-height: 115%\; font-family: 'Arial'\,sans-serif\;">Please clic k on the link below to complete a compliance form.<span style="mso-spaceru n: yes\;">&nbsp\; </span>This policy is required to comply with U.S. expor t control laws and regulations.</span></p>\n<p class="MsoNormal"><a href=" https://dsp-coach.com/compliance-ieee" target="_blank" rel="noopener"><spa n style="font-size: 11.0pt\; line-height: 115%\; font-family: 'Arial'\,san s-serif\;">https://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 corporate network\, please submit from a personal device or non-corporate network.&rdquo\;&nbsp\;&nbsp\;</span></strong></em></p>\n<p> <strong>Registration Fees:&nbsp\;</strong></p>\n<p>IEEE Member Early Rate (by October 2):&nbsp\; $190.00</p>\n<p>IEEE Member Rate (after October 2): &nbsp\; $285.00</p>\n<p>IEEE Non-Member Early Rate (by October 2):&nbsp\; $210.00</p>\n<p>IEEE Non-Member Rate (after October 2):&nbsp\; $315.00</p> \n<p>Early registration deadline is:&nbsp\; Friday\, October 2\, 2026</p>\ n<p>Decision to run/cancel course: &nbsp\;Tuesday\, October 6\, 2026</p>\n <p>Course Information will be distributed on Tuesday\, October 6\, 2026 in advance of and in preparation for the first live workshop session. &nbsp\ ;A live orientation session will be held on Thursday\, October 8\, 2026</p >\n<p>Attendees will have access to the recorded session and exercises for two months (until January 5\, 2027) after the<br>last live session ends!< /p>\n<p>This is a hands-on course combining pre-recorded lectures with liv e Q&amp\;A and workshop sessions in the popular and powerful open-source P ython programming language.</p>\n<p><strong>Pre-Recorded Videos: </strong> &nbsp\;The course format has been updated to release pre-recorded video le ctures that students can watch on their own schedule\, and an unlimited nu mber of times\, prior to live Q&amp\;A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course.</p>\n<p><strong>O verview:&nbsp\;</strong>Dan provides simple\, straight-forward navigation through the multiple configurations and options\, providing a best-practic es approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verific ation. Students will be using the Anaconda distribution\, which combines P ython with the most popular data science applications\, and Jupyter Notebo oks for a rich\, interactive experience.</p>\n<p>The course begins with ba sic Python data structures and constructs\, including key &ldquo\;Pythonic &rdquo\; concepts\, followed by an overview and use of popular packages fo r scientific computing enabling rapid prototyping for system design.</p>\n <p>During the course students will create example designs including a sigm a delta converter and direct digital synthesizer both in floating point an d fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPGA/ASIC)\, while bringin g forward the signal processing tools for frequency and time domain analys is.</p>\n<p><strong>Jupyter Notebooks:</strong>&nbsp\;This course makes ex tensive use of Jupyter Notebooks which combines running Python code with i nteractive plots and graphics for a rich user experience. Jupyter Notebook s is an open-source web-based application (that can be run locally) that a llows users to create and share visually appealing documents containing co de\, graphics\, visualizations and interactive plots. Students will be abl e to interact with the notebook contents and use &ldquo\;take-it-with-you& rdquo\; results for future applications in signal processing.</p>\n<p><str ong>Target Audience:</strong>&nbsp\;This course is targeted toward users w ith little to no prior experience in Python\, however familiarity with oth er modern programming languages and an exposure to object-oriented constru cts is very helpful. Students should be comfortable with basic signal proc essing concepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently us e Matlab and/or Octave for 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 p ractice use of Python.</p>\n<p><strong>All set-up information for the inst allation 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 lectures (3 hours each) will be distribute d Friday prior to all Workshop dates. Workshop/ Q&amp\;A Sessions are 6pm- 7:30pm on the dates listed below:</p>\n<p>Kick-off / Orientation:&nbsp\; O ctober 8\, 2026</p>\n<p><u>Thursday\, October 16\, 2026</u></p>\n<p><em>To pic 1:</em>&nbsp\;Intro to Jupyter Notebooks\, the Spyder IDE and the cour se design examples. Core Python constructs.</p>\n<p><u>Thursday\, October 22\, 2026</u></p>\n<p><em>Topic 2</em>: Core Python constructs\; iterators \, functions\, reading writing data files.</p>\n<p><u>Thursday\, October 2 9\, 2026</u></p>\n<p><em>Topic 3:</em>&nbsp\;Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.</p>\n<p><u >Thursday\, November 5\, 2026</u></p>\n<p><em>Topic 4</em>: Bit/cycle accu rate modelling and analysis using the design examples and simulation packa ges</p> END:VEVENT END:VCALENDAR