IEEE Boston Section

Entrepreneurs’ Network After two years hiatus due to the pandemic, ENET and our cruise partners much look forward to renewal of our annual year-end networking tradition with this year’s “EntrepreneurSHIP 2022” Sunset Cruise. Our last cruise in July 2019 sold out and with pent-up demand we are seeing, we expect a sell-out might occur again this year.  So, please do book early to not get left behind.  We are looking forward to another great event cruising the Boston Harbor! IEEE Boston Entrepreneurs’ Network will hold its 18th annual Sunset Cruise & Networking Evening on Boston Harbor aboard the M/V Music City Queen, on Thursday, July 14, 2022.  We board the boat at 6:45 p.m., and cruise from 7:15-9:30 pm., with additional networking on the boat dockside until 9:45 pm. The event includes a light dinner catered again this year by the well-respected Off the Vine Catering, who received many compliments for the food the last four years.  There will also be a cash bar. Our ENET Sunset Cruise on Boston Harbor will be an enjoyable, casual wrap-up for the ENET 2021-22 season, our 31st year. We again expect over 150 attendees and guests.  To enhance the networking opportunities, we have invited all ENET speakers whose presentations you enjoyed during the past year’s webinars along with those who were speakers in 2019-2020 who missed out on the cruise in 2020.  We will also be joined by members and guests of several other Massachusetts technology-based entrepreneurial groups, who are partnering with ENET for this “EntrepreneurSHIP 2022” including Women in Bio – Boston, MASS Bio, and Prepare 4 VC. We will be cruising on the Mass Bay Lines’ M/V Music City Queen, an ornamental 19th century sternwheeler named for city on Cumberland River (Nashville): perfect for our year-end gala.  Two decks are climate controlled for year-round comfort. The MV/Music City Queen is berthed at Rowes Wharf, behind the Boston Harbor Hotel on Atlantic Avenue in Boston. Parking is available for $10 at International Place garage across the street from Rowes Wharf and there are two “T” stops nearby. COST: Early Bird Rates (available until June 30) $35. per person: ENET Member and member guest $45. per person: Non-ENET Members Standard Rates (after June 30) $45. per person: ENET Member and member guest $55. per person: Non-ENET Members Your seat can be saved only by paid-up registration! PARKING INFO: Low-cost parking is available after 5:00 pm at 1 International Place garage for just $10.00, just across Atlantic Ave. from Rowes Wharf (Go to https://parking.com/boston/lot/1-international-place/parking-coupon and print coupon to bring with you (you need the coupon for the reduced rate – also please print out this coupon only after July 1 so it will not have expired) and there are two T stops within a ten minute walk (Aquarium and South Station). Earlier attendees have really enjoyed this great event. We hope you will join us July 14th! SPACE IS LIMITED. So, you are encouraged to REGISTER NOW so you won’t miss out. CANCELLATION POLICY: Any cancellation on or before June 25, 2022 will receive a full refund of amounts paid for the cruise.  Any cancellation after June 25, 2022 up to July 12, 2022, 10:00pm will receive a full credit toward future ENET events or membership. COVID POLICY: The Entrepreneurship 2022 will adhere to all requirements of the City of Boston for the health and safety of our passengers and crew.  These include any then applicable requirements occasioned by Covid-19 and any new variants.   On the chance that a new Covid-19 outbreak makes the cruise inappropriate, in the sole discretion of ENET in consultation with our cruise partners, ENET has the ability to cancel the cruise on short notice to the cruise company and caterer.  ENET is grateful to both of those vendors for their flexibility.  Should such a cancellation occur, all funds received would be refunded. ENET 2022 Boston Harbor Sunset Networking Cruise Once registered, your confirmation email will contain a promo code for you to save $10. either joining ENET as a new member or renewing membership! Learn how to become a member here!

COURSE DESCRIPTION

First Video Release, Wednesday, September 7, 2022.   Additional videos released weekly in advance of that week’s live session!

Live Workshops:  6:00PM – 7:30PM EDT, Tuesdays, September 13, 20, 27, October 4

Attendees will have access to the recorded session and exercises for two months (until December 4) after the live session ends!

 

 

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Friday, September 2, 2022

Speaker:  Dan Boschen

This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.

New Format with Pre-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 also be available to the students for viewing for up to two months after the conclusion of the course.

Overview: Dan provides simple, straight-forward navigation through the multiple configurations and 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 Anaconda distribution, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience.

The 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 for system design.

During 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 time domain analysis.

Jupyter 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 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.

Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal 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 currently use Matlab and/or Octave for signal processing applications.

Benefits 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 and related tools specific to modeling and simulation for signal processing analysis and design.

All set-up information for the installation of all tools will be provided before the start of class.

Topics / Schedule:

Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 7pm-8pm on the dates listed below:

Tuesday, September 13

Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs.

Tuesday, September 20

Topic 2: Core Python constructs; iterators, functions, reading writing data files.

Tuesday, September 27

Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib.

Tuesday, October 4

Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page.

HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing. We are passionate about performance. Our community is interested in computing hardware, software, systems and applications where performance matters. We welcome experts and people who are new to the field.

The 2021 HPEC technical committee seeks new presentations that clearly describe advances in high performance extreme computing technologies.

The HPEC submission site is open. Submission Deadline is: July 9, 2022!

For more information and deadlines click here:

COURSE DESCRIPTION

First Video Release, Wednesday, September 7, 2022.   Additional videos released weekly in advance of that week’s live session!

Live Workshops:  6:00PM – 7:30PM EDT, Tuesdays, September 13, 20, 27, October 4

Attendees will have access to the recorded session and exercises for two months (until December 4) after the live session ends!

 

 

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Friday, September 2, 2022

Speaker:  Dan Boschen

This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.

New Format with Pre-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 also be available to the students for viewing for up to two months after the conclusion of the course.

Overview: Dan provides simple, straight-forward navigation through the multiple configurations and 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 Anaconda distribution, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience.

The 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 for system design.

During 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 time domain analysis.

Jupyter 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 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.

Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal 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 currently use Matlab and/or Octave for signal processing applications.

Benefits 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 and related tools specific to modeling and simulation for signal processing analysis and design.

All set-up information for the installation of all tools will be provided before the start of class.

Topics / Schedule:

Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 7pm-8pm on the dates listed below:

Tuesday, September 13

Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs.

Tuesday, September 20

Topic 2: Core Python constructs; iterators, functions, reading writing data files.

Tuesday, September 27

Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib.

Tuesday, October 4

Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page.

COURSE DESCRIPTION

First Video Release, Wednesday, September 7, 2022.   Additional videos released weekly in advance of that week’s live session!

Live Workshops:  6:00PM – 7:30PM EDT, Tuesdays, September 13, 20, 27, October 4

Attendees will have access to the recorded session and exercises for two months (until December 4) after the live session ends!

 

 

IEEE Member Fee:  $190.00

Non-Member Fee:  $210.00

Decision to run/cancel course:  Friday, September 2, 2022

Speaker:  Dan Boschen

This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language.

New Format with Pre-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 also be available to the students for viewing for up to two months after the conclusion of the course.

Overview: Dan provides simple, straight-forward navigation through the multiple configurations and 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 Anaconda distribution, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience.

The 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 for system design.

During 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 time domain analysis.

Jupyter 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 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.

Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal 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 currently use Matlab and/or Octave for signal processing applications.

Benefits 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 and related tools specific to modeling and simulation for signal processing analysis and design.

All set-up information for the installation of all tools will be provided before the start of class.

Topics / Schedule:

Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 7pm-8pm on the dates listed below:

Tuesday, September 13

Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs.

Tuesday, September 20

Topic 2: Core Python constructs; iterators, functions, reading writing data files.

Tuesday, September 27

Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib.

Tuesday, October 4

Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages

Speaker’s Bio:

Dan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio transceivers and modems. He has held various positions at Signal Technologies, MITRE, Airvana and Hittite Microwave designing and developing transceiver hardware from baseband to antenna for wireless communications systems and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/, and is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.

For more background information, please view Dan’s Linked-In page.