BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250527T142956Z UID:0242C762-7825-47F9-9A47-4EA7E899F4C4 DTSTART;TZID=US/Eastern:20250522T180000 DTEND;TZID=US/Eastern:20250522T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nPython Applications for Digital Design and Sig nal Processing (Orientation / Kickoff) - 9:00AM - 9:30AM EDT\; Thursday\, May 1\, 2025\n\nAdditional videos released weekly in advance of that week ’s live session!\n\nPython Applications for Digital Design and Signal Pr ocessing (Workshops) - 6:00PM – 7:30PM EDT\; Thursdays\, May 8\, 15\, 22 \, 29\n\nRegistration is open through the last live workshop date. Live wo rkshops are recorded for later use.\n\nRegistration Fees:\n\nIEEE Member E arly Rate (by May 8): $190.00\n\nIEEE Member Rate (after May 8): $285.00\n \nIEEE Non-Member Early Rate (by May 8): $210.00\n\nIEEE Non-Member Rate ( after May 8): $315.00\n\nEarly registration deadline is: Thursday\, May 8\ , 2025\n\nDecision to run/cancel course: Tuesday\, Monday\, April 28\, 202 5\n\nCourse Information will be distributed on Thursday\, May 1\, 2025 in advance of and in preparation for the first live workshop session. A live orientation session will be held on Thursday\, May 8\, 2025\n\nAttendees w ill have access to the recorded session and exercises for two months (unti l July 29\, 2025) after the\nlast live session ends!\n\nThis is a hands-on course combining pre-recorded lectures with live Q&A and workshop session s in the popular and powerful open-source Python programming language.\n\n Pre-Recorded Videos: The course format has been updated to release pre-re corded 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 also be available to the students fo r viewing for up to two months after the conclusion of the course.\n\nOver view: Dan provides simple\, straight-forward navigation through the multip le configurations and options\, providing a best-practices approach for qu ickly getting up to speed using Python for modelling and analysis for appl ications in signal processing and digital design verification. Students wi ll be using the Anaconda distribution\, which combines Python with the mos t popular data science applications\, and Jupyter Notebooks for a rich\, i nteractive experience.\n\nThe course begins with basic Python data structu res and constructs\, including key “Pythonic” concepts\, followed by a n overview and use of popular packages for scientific computing enabling r apid prototyping for system design.\n\nDuring the course students will cre ate example designs including a sigma delta converter and direct digital s ynthesizer both in floating point and fixed point. This will include consi derations for cycle and bit accurate models useful for digital design veri fication (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis.\n\nJupyter Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python cod e with interactive 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 conta ining code\, graphics\, visualizations and interactive plots. Students wil l be able to interact with the notebook contents and use “take-it-with-y ou” results for future applications in signal processing.\n\nTarget Audi ence: This course is targeted toward users with little to no prior experie nce in Python\, however familiarity with other modern programming language s and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequen cy and time domain. Familiarity with Matlab or Octave is not required\, bu t the equivalent operations in Python using the NumPy package will be prov ided for those students that do currently use Matlab and/or Octave for sig nal processing applications.\n\nBenefits of Attending / Goals of Course: A ttendees 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 installation of all tools will be provided before the start of class. \n\nSpeaker(s): Dan Boschen \, \n\nAgenda: \nTopics / Schedule:\n\nPre-rec orded lectures (3 hours each) will be distributed Friday prior to all Work shop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed belo w:\n\nKick-off / Orientation: May 1\, 2025\n\nThursday\, May 8\, 2025\n\nT opic 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course design examples. Core Python constructs.\n\nThursday\,May 15\, 2025\n\nTopic 2: C ore Python constructs\; iterators\, functions\, reading writing data files .\n\nThursday\, May 22\, 2025\n\nTopic 3: Signal processing simulation wit h popular packages including NumPy\, SciPy\, and Matplotlib.\n\nThursday\, May 29\, 2025\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/450176 LOCATION:Virtual: https://events.vtools.ieee.org/m/450176 ORGANIZER:k.safina@ieee.org SEQUENCE:29 SUMMARY:Python Applications for Digital Design and Signal Processing URL;VALUE=URI:https://events.vtools.ieee.org/m/450176 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> - 9:00AM - 9:30AM EDT\; Thursday\, May 1\, 2025</p>\n<p >Additional videos released weekly in advance of that week&rsquo\;s live s ession!</p>\n<p><strong>Python Applications for Digital Design and Signal Processing (Workshops) -&nbsp\;</strong>6:00PM &ndash\; 7:30PM EDT\; Thurs days\, May 8\, 15\, 22\, 29</p>\n<p>Registration is open through the last live workshop date.&nbsp\; Live workshops are recorded for later use.&nbsp \;</p>\n<p><strong>Registration Fees:&nbsp\;</strong></p>\n<p>IEEE Member Early Rate (by May 8):&nbsp\; $190.00</p>\n<p>IEEE Member Rate (after May 8):&nbsp\; $285.00</p>\n<p>IEEE Non-Member Early Rate (by May 8):&nbsp\; $ 210.00</p>\n<p>IEEE Non-Member Rate (after May 8):&nbsp\; $315.00</p>\n<p> Early registration deadline is:&nbsp\; Thursday\, May 8\, 2025</p>\n<p>Dec ision to run/cancel course:&nbsp\; Tuesday\, Monday\, April 28\, 2025</p>\ n<p>Course Information will be distributed on Thursday\, May 1\, 2025 in a dvance of and in preparation for the first live workshop session. &nbsp\;A live orientation session will be held on Thursday\, May 8\, 2025</p>\n<p> Attendees will have access to the recorded session and exercises for two m onths (until July 29\, 2025) 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 pr ogramming language.</p>\n<p><strong>Pre-Recorded Videos: </strong>&nbsp\;T he course format has been updated to release pre-recorded video lectures t hat 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 instruct or. The videos will also be available to the students for viewing for up t o two months after the conclusion of the course.</p>\n<p><strong>Overview: &nbsp\;</strong>Dan provides simple\, straight-forward navigation through the multiple configurations and options\, providing a best-practices appro ach for quickly getting up to speed using Python for modelling and analysi s for applications in signal processing and digital design verification. S tudents will be using the Anaconda distribution\, which combines Python wi th the most popular data science applications\, and Jupyter Notebooks for a rich\, interactive experience.</p>\n<p>The course begins with basic Pyth on data structures and constructs\, including key &ldquo\;Pythonic&rdquo\; concepts\, followed by an overview and use of popular packages for scient ific computing enabling rapid prototyping for system design.</p>\n<p>Durin g the course students will create example designs including 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)\, while bringing forwar d the signal processing tools for 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 interacti ve plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows us ers to create and share visually appealing documents containing code\, gra phics\, visualizations and interactive plots. Students will be able to int eract with the notebook contents and use &ldquo\;take-it-with-you&rdquo\; results for future applications in signal processing.</p>\n<p><strong>Targ et Audience:</strong>&nbsp\;This course is targeted toward users with litt le to no prior experience in Python\, however familiarity with other moder n programming languages and an exposure to object-oriented constructs is v ery helpful. Students should be comfortable with basic signal processing c oncepts in the frequency and time domain. Familiarity with Matlab or Octav e is not required\, but the equivalent operations in Python using the NumP y package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.</p>\n<p><strong>Benefit s 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 will be provided before the start of class.</strong></p>\n<p >&nbsp\;</p><br /><br />Agenda: <br /><p><strong>Topics / Schedule:</stron g></p>\n<p>Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&amp\;A Sessions are 6pm-7:30pm o n the dates listed below:</p>\n<p>Kick-off / Orientation:&nbsp\; May 1\, 2 025</p>\n<p><u>Thursday\, May 8\, 2025</u></p>\n<p><em>Topic 1:</em>&nbsp\ ;Intro to Jupyter Notebooks\, the Spyder IDE and the course design example s. Core Python constructs.</p>\n<p><u>Thursday\,May 15\, 2025</u></p>\n<p> <em>Topic 2</em>: Core Python constructs\; iterators\, functions\, reading writing data files.</p>\n<p><u>Thursday\, May 22\, 2025</u></p>\n<p><em>T opic 3:</em>&nbsp\;Signal processing simulation with popular packages incl uding NumPy\, SciPy\, and Matplotlib.</p>\n<p><u>Thursday\, May 29\, 2025< /u></p>\n<p><em>Topic 4</em>: Bit/cycle accurate modelling and analysis us ing the design examples and simulation packages</p> END:VEVENT END:VCALENDAR