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:20240327T141015Z UID:3E15DF48-C40E-473D-8F3A-FA00EE9CF99F DTSTART;TZID=US/Eastern:20240321T180000 DTEND;TZID=US/Eastern:20240321T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nCourse Kick-off / Orientation 6:00PM - 6:30PM EDT\; Thursday\, February 29\, 2024\n\nFirst Video Release\, Thursday\, Fe bruary 29\, 2024. Additional videos released weekly in advance of that wee k’s live session!\n\nLive Workshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28\, 2024\n\nRegistration is open through the last li ve workshop date. Live workshops are recorded for later use.\n\nRegistrati on Fees:\n\nIEEE Member Early Rate (by February 15): $190.00\n\nIEEE Membe r Rate (after February 15th): $285.00\n\nIEEE Non-Member Early Rate (by Fe bruary 15): $210.00\n\nIEEE Non-Member Rate (after February 15): $315.00\n \nDecision to run/cancel course: Thursday\, February 22\, 2024\n\nCourse I nformation will be distributed on Thursday\, February 29 in advance of and in preparation for the first live workshop session. A live orientation se ssion will be held on February 29\, 2024.\n\nAttendees will have access to the recorded session and exercises for two months (until May 28\, 2024) a fter the\nlast live session ends!\n\nThis is a hands-on course combining p re-recorded lectures with live Q&A and workshop sessions in the popular an d powerful open-source Python programming language.\n\nPre-Recorded Videos : The course format has been updated to release pre-recorded video lectur es 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 instructo r. 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 provides simple\, straight-forward navigation through the multiple configurations a nd options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Ana conda distribution\, which combines Python with the most popular data scie nce applications\, and Jupyter Notebooks for a rich\, interactive experien ce.\n\nThe course begins with basic Python data structures and constructs\ , including key “Pythonic” concepts\, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping fo r system design.\n\nDuring 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 forward the signal processing tools for frequency and t ime domain analysis.\n\nJupyter Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics for a rich user experience. Jupyter Notebooks is an ope n-source web-based application (that can be run locally) that allows users to create and share visually appealing documents containing code\, graphi cs\, visualizations and interactive plots. Students will be able to intera ct with the notebook contents and use “take-it-with-you” results for f uture applications in signal processing.\n\nTarget Audience: This course i s targeted toward users with little to no prior experience in Python\, how ever familiarity with other modern programming languages and an exposure t o object-oriented constructs is very helpful. Students should be comfortab le with basic signal processing concepts in the frequency and time domain. Familiarity with Matlab or Octave is not required\, but the equivalent op erations in Python using the NumPy package will be provided for those stud ents that do currently use Matlab and/or Octave for signal processing appl ications.\n\nBenefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly get up to speed in bes t practice use of Python.\n\nAll set-up information for the installation o f all tools will be provided before the start of class.\n\nSpeaker(s): Dan Boschen \, \n\nAgenda: \nTopics / Schedule:\n\nPre-recorded lectures (3 h ours each) will be distributed Friday prior to all Workshop dates. Worksho p/ Q&A Sessions are 6pm-7:30pm on the dates listed below:\n\nKick-off / Or ientation: February 29\, 2024\n\nThursday\, March 7\, 2024\n\nTopic 1: Int ro to Jupyter Notebooks\, the Spyder IDE and the course design examples. C ore Python constructs.\n\nThursday\,March 14\, 2024\n\nTopic 2: Core Pytho n constructs\; iterators\, functions\, reading writing data files.\n\nThur sday\, March 21\, 2024\n\nTopic 3: Signal processing simulation with popul ar packages including NumPy\, SciPy\, and Matplotlib.\n\nThursday\, March 28\, 2024\n\nTopic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages\n\nVirtual: https://events.vtools. ieee.org/m/398498 LOCATION:Virtual: https://events.vtools.ieee.org/m/398498 ORGANIZER:k.safina@ieee.org SEQUENCE:28 SUMMARY:Python Applications for Signal Processing and Digital Design URL;VALUE=URI:https://events.vtools.ieee.org/m/398498 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\, February 29\, 2024</ p>\n<p>First Video Release\, Thursday\, February 29\, 2024.&nbsp\; &nbsp\; Additional videos released weekly in advance of that week&rsquo\;s live se ssion!</p>\n<p>Live Workshops:&nbsp\; 6:00PM &ndash\; 7:30PM EDT\; Thursda ys\, March 7\, 14\, 21\, 28\, 2024</p>\n<p>Registration is open through th e last live workshop date.&nbsp\; Live workshops are recorded for later us e.&nbsp\;</p>\n<p>Registration Fees:&nbsp\;</p>\n<p>IEEE Member Early Rate (by February 15):&nbsp\; $190.00</p>\n<p>IEEE Member Rate (after February 15th):&nbsp\; $285.00</p>\n<p>IEEE Non-Member Early Rate (by February 15) :&nbsp\; $210.00</p>\n<p>IEEE Non-Member Rate (after February 15):&nbsp\; $315.00</p>\n<p>Decision to run/cancel course:&nbsp\; Thursday\, February 22\, 2024</p>\n<p>Course Information will be distributed on Thursday\, Feb ruary 29 in advance of and in preparation for the first live workshop sess ion. &nbsp\;A live orientation session will be held on February 29\, 2024. &nbsp\;</p>\n<p>Attendees will have access to the recorded session and exe rcises for two months (until May 28\, 2024) after the<br>last live session ends!</p>\n<p>This is a hands-on course combining pre-recorded lectures w ith live Q&amp\;A and workshop sessions in the popular and powerful open-s ource Python programming language.</p>\n<p><strong>Pre-Recorded Videos: </ strong>&nbsp\;The course format has been updated to release pre-recorded v ideo lectures that students can watch on their own schedule\, and an unlim ited number of times\, prior to live Q&amp\;A workshop sessions on Zoom wi th the instructor. The videos will also be available to the students for v iewing for up to two months after the conclusion of the course.</p>\n<p><s trong>Overview:&nbsp\;</strong>Dan provides simple\, straight-forward navi gation through the multiple configurations and options\, providing a best- practices approach for quickly getting up to speed using Python for modell ing and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution\, which com bines 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 constructs\, including key &ldquo\;P ythonic&rdquo\; concepts\, followed by an overview and use of popular pack ages for scientific computing enabling rapid prototyping for system design .</p>\n<p>During 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.</p>\n<p><strong>Jupyter Notebooks:</strong>&nbsp\;This course m akes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics for a rich user experience. Jupyter N otebooks is an open-source web-based application (that can be run locally) that allows users to create and share visually appealing documents contai ning code\, graphics\, visualizations and interactive plots. Students will be able to interact with the notebook contents and use &ldquo\;take-it-wi th-you&rdquo\; results for future applications in signal processing.</p>\n <p><strong>Target Audience:</strong>&nbsp\;This course is targeted toward users with little to no prior experience in Python\, however familiarity w ith other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic sign al processing 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 curre ntly use Matlab and/or Octave for signal processing applications.</p>\n<p> <strong>Benefits of Attending / Goals of Course:</strong> Attendees will g ain 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 t he 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 / S chedule:</strong></p>\n<p>Pre-recorded lectures (3 hours each) will be dis tributed Friday prior to all Workshop dates. Workshop/ Q&amp\;A Sessions a re 6pm-7:30pm on the dates listed below:</p>\n<p>Kick-off / Orientation:&n bsp\; February 29\, 2024</p>\n<p><u>Thursday\, March 7\, 2024</u></p>\n<p> <em>Topic 1:</em>&nbsp\;Intro to Jupyter Notebooks\, the Spyder IDE and th e course design examples. Core Python constructs.</p>\n<p><u>Thursday\,Mar ch 14\, 2024</u></p>\n<p><em>Topic 2</em>: Core Python constructs\; iterat ors\, functions\, reading writing data files.</p>\n<p><u>Thursday\, March 21\, 2024</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\, March 28\, 2024</u></p>\n<p><em>Topic 4</em>: Bit/cycle accur ate modelling and analysis using the design examples and simulation packag es</p> END:VEVENT END:VCALENDAR