BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230417T131047Z UID:F1D0C781-F422-4323-93F4-B7ABD4B4C0F7 DTSTART;TZID=US/Eastern:20230413T180000 DTEND;TZID=US/Eastern:20230413T193000 DESCRIPTION:[COURSE DESCRIPTION](https://ieeeboston.org/event/pythonapplica tions/?instance_id=3232)\n\nFirst Video Release\, Thursday\, March 30\, 20 23. Additional videos released weekly in advance of that week’s live ses sion!\n\nLive Workshops: 6:00PM – 7:30PM EDT\, Thursdays\, April 6\, 13\ , 20\, 27\n\nAttendees will have access to the recorded session and exerci ses for two months (until June 27) after the live session ends!\n\nThis is a hands-on course combining pre-recorded lectures with live Q&A and works hop sessions in the popular and powerful open-source Python programming la nguage.\n\nNew Format with Pre-Recorded Videos: The course format has bee n updated to release pre-recorded video lectures that students can watch o n 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 a vailable to the students for viewing for up to two months after the conclu sion of the course.\n\nOverview: Dan provides simple\, straight-forward na vigation through the multiple configurations and options\, providing a bes t-practices approach for quickly getting up to speed using Python for mode lling and analysis for applications in signal processing and digital desig n verification. Students will be using the Anaconda distribution\, which c ombines Python with the most popular data science applications\, and Jupyt er Notebooks for a rich\, interactive experience.\n\nThe course begins wit h basic Python data structures and constructs\, including key “Pythonic ” concepts\, followed by an overview and use of popular packages for sci entific computing enabling rapid prototyping for system design.\n\nDuring the course students will create example designs including a sigma delta co nverter and direct digital synthesizer both in floating point and fixed po int. This will include considerations for cycle and bit accurate models us eful for digital design verification (FPGA/ASIC)\, while bringing forward the signal processing tools for frequency and time domain analysis.\n\nSpe aker(s): Dan Boschen \, \n\nAgenda: \nThursday\, April 6\, 2023\n\nTopic 1 : Intro to Jupyter Notebooks\, the Spyder IDE and the course design exampl es. Core Python constructs.\n\nThursday\, April 13\, 2023\n\nTopic 2: Core Python constructs\; iterators\, functions\, reading writing data files.\n \nThursday\, April 20\, 2023\n\nTopic 3: Signal processing simulation with popular packages including NumPy\, SciPy\, and Matplotlib.\n\nThursday\, April 27\, 2023\n\nTopic 4: Bit/cycle accurate modelling and analysis usin g the design examples and simulation packages\n\nVirtual: https://events.v tools.ieee.org/m/336503 LOCATION:Virtual: https://events.vtools.ieee.org/m/336503 ORGANIZER:k.safina@ieee.org SEQUENCE:16 SUMMARY:Python Applications for Signal Processing and Digital Design URL;VALUE=URI:https://events.vtools.ieee.org/m/336503 X-ALT-DESC:Description: <br /><p><a href="https://ieeeboston.org/event/pyth onapplications/?instance_id=3232">COURSE DESCRIPTION</a></p>\n<p>First Vid eo Release\, Thursday\, March 30\, 2023.&nbsp\; &nbsp\;Additional videos r eleased weekly in advance of that week&rsquo\;s live session!</p>\n<p>Live Workshops:&nbsp\; 6:00PM &ndash\; 7:30PM EDT\, Thursdays\, April 6\, 13\, 20\, 27</p>\n<p>Attendees will have access to the recorded session and ex ercises for two months (until June 27) after the live session ends!</p>\n< p>This is a hands-on course combining pre-recorded lectures with live Q&am p\;A and workshop sessions in the popular and powerful open-source Python programming language.</p>\n<p><strong>New Format with Pre-Recorded Videos: &nbsp\;</strong>&nbsp\;The course format has been updated to release pre-r ecorded video lectures that students can watch on their own schedule\, and an unlimited number of times\, prior to live Q&amp\;A workshop sessions o n Zoom with the instructor. The videos will also be available to the stude nts for viewing for up to two months after the conclusion of the course.</ p>\n<p><strong>Overview:&nbsp\;</strong>Dan provides simple\, straight-for ward navigation through the multiple configurations and options\, providin g a best-practices approach for quickly getting up to speed using Python f or modelling and analysis for applications in signal processing and digita l design verification. Students will be using the Anaconda distribution\, which combines Python with the most popular data science applications\, an d Jupyter Notebooks for a rich\, interactive experience.</p>\n<p>The cours e begins with basic Python data structures and constructs\, including key &ldquo\;Pythonic&rdquo\; concepts\, followed by an overview and use of pop ular packages for scientific computing enabling rapid prototyping for syst em design.</p>\n<p>During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in f loating 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 ti me domain analysis.</p><br /><br />Agenda: <br /><p><u>Thursday\, April 6\ , 2023</u></p>\n<p><em>Topic 1:</em>&nbsp\;Intro to Jupyter Notebooks\, th e Spyder IDE and the course design examples. Core Python constructs.</p>\n <p><u>Thursday\, April 13\, 2023</u></p>\n<p><em>Topic 2</em>: Core Python constructs\; iterators\, functions\, reading writing data files.</p>\n<p> <u>Thursday\, April 20\, 2023</u></p>\n<p><em>Topic 3:</em>&nbsp\;Signal p rocessing simulation with popular packages including NumPy\, SciPy\, and M atplotlib.</p>\n<p><u>Thursday\, April 27\, 2023</u></p>\n<p><em>Topic 4</ em>: Bit/cycle accurate modelling and analysis using the design examples a nd simulation packages</p> END:VEVENT END:VCALENDAR