IAP 2019 Activities by Category - Engineering: Hands-on

Mac Cameron

Enrollment: Limited: Advance sign-up required
Sign-up by 01/22
Limited to 12 participants
Attendance: Participants must attend all sessions
Prereq: None

This class provides an overview of 3D printing technology then does a deep dive into Computer Aided Design (CAD) software. Participants will learn about the full process of solving a problem in their lives then taking that idea into CAD software, then 3D printed part. Each student will design over 3 parts, in increasing complexity, using CAD software and 3D print at least one of them. Students will be encouraged to take their 3D printed part to potential customers, getting design feedback and, hopefully, customers.  

Additionally, Stratasys is sponsoring materials for the course. Students will be able to print their parts at no cost. 

Sponsor(s): Sloan School of Management
Contact: Erin Martin, E40-160, 617 253-8653, E_MARTIN@MIT.EDU

Session 1: 3D Printing Your First Part

Jan/25

Fri

02:00PM-05:00PM

E40-163, LAPTOP REQUIRED; Recommended: external mouse

Students of all computer aided design levels will be introduced to OnShape, a computer aided design software, to design their first part to be 3D printed that evening. The 3D printer used will be the Fortus 380mc.

Mac Cameron

Session 2: Practicing CAD Skills

Jan/28

Mon

02:00PM-05:00PM

E40-163, LAPTOP REQUIRED; Recommended: external mouse

Students will be led through a number of CAD design activities and be introduced to their next 3D printing project based on a real world problem. Students second 3D print will be started and complete by Wednesday, 1/30.

Mac Cameron

Session 3: Entrepreneurial Opportunities

Jan/30

Wed

02:00PM-05:00PM

E40-163, LAPTOP REQUIRED; Recommended: external mouse

In the final class, students will be working through more CAD design activities, improving their designs, and exploring avenues to bring their parts to market.

Mac Cameron

Kenneth Kolodziej, Staff

Enrollment: Limited: Advance sign-up required
Sign-up by 01/11
Limited to 24 participants
Attendance: Participants must attend all sessions
Prereq: None

Are you interested in building and testing your own radar system?  MIT Lincoln Laboratory is offering a course focusing on the design, fabrication, and test of a laptop-based radar capable of forming Doppler, range and synthetic aperture radar (SAR) images.  This course will appeal to anyone interested in the following: electronics, amateur radio, physics or electromagnetics. Teams of three will receive materials to build a radar and will be given instructions to watch pre-recorded lectures spanning topics from fundamentals of radar to SAR imaging.  Instructors will be on-hand to answer questions and debug any assembly issues.  You will bring your radar into the field and perform experiments such as measuring the speed of passing cars or plotting the range of moving targets.  A final SAR imaging contest will test your ability to form a detailed and creative SAR image of a target scene of your choice.  The best image wins!

Sponsor(s): Lincoln Laboratory
Contact: Kenneth Kolodziej, radar.course@ll.mit.edu

Build a Radar Workshop

	Jan/25	Fri	01:00PM-05:00PM	Bldg. 31-115, bring your laptop
	Jan/29	Tue	01:00PM-05:00PM	Bldg. 31-115, bring your laptop
	Feb/01	Fri	01:00PM-05:00PM	Bldg. 31-115, bring your laptop

Okor Joseph, ALUM

Enrollment: Unlimited: No advance sign-up
Prereq: NONE

If you ever wanted to build something especially electronics related, this IAP is your chance. We have a large collection of electronic projects ready to be put together.You get the chance to solder things and program them to do fun stuff. You also get the chance to design and build new stuff and help launch a Kickstarter.

http://iap2019.xfunbotix.com/

Contact: Joseph Okor, 2-136, (561) 431-8294, joe.okor@xfunbotix.com

Joseph Okor, MIT alum

Enrollment: Unlimited: No advance sign-up
Attendance: Participants welcome at individual sessions
Prereq: None

If you ever wanted to build something especially electronics related, this IAP is your chance. We have a large collection of electronic projects ready to be put together.You get the chance to solder things and program them to do fun stuff. You also get the chance to design and build new stuff and help launch a Kickstarter.

http://iap2019.xfunbotix.com/ 

Contact: Joseph Okor, (561) 431-8294, joe.okor@xfunbotix.com

Come Build Something

	Jan/28	Mon	04:00PM-06:00PM	2-136
	Jan/29	Tue	04:00PM-06:00PM	2-136
	Jan/30	Wed	04:00PM-06:00PM	2-136
	Jan/31	Thu	04:00PM-06:00PM	2-136
	Feb/01	Fri	04:00PM-06:00PM	2-136

Joseph Okor - MIT alum

Elsa Olivetti, Professor

Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/21
Attendance: Participants welcome at individual sessions

Are you curious about Course 3: Materials Science and Engineering research or just want to learn more about Course 3? Learn about materials science at MIT from several laboratories within the department, covering topics ranging from extraction processes, electrochemistry, photonic materials, physical metallurgy, polymer composites among others. Hosted by current faculty, graduate and undergraduate students.

Priority will be given to first year undergradauate students if interest is high.

Two dates are listed, and the labs visited for each tour will be different.

Please RSVP through the link below. We will reach out to you with further information after you RSVP.

https://goo.gl/forms/h69TSKFkGuDfr75p1

Sponsor(s): Materials Science and Engineering
Contact: Prof. Elsa Olivetti, elsao@mit.edu

Lab Tour 2

Jan/23

Wed

10:00AM-11:30AM

Location TBD

Please RSVP for more information

https://goo.gl/forms/h69TSKFkGuDfr75p1

Elsa Olivetti - Professor

Lab Tour 2

Jan/29

Tue

02:30PM-04:00PM

TBD

Please RSVP for more information

https://goo.gl/forms/h69TSKFkGuDfr75p1

Elsa Olivetti - Professor

Karen Tapia-Ahumada, Research Scientist

Enrollment: Advance sign-up required
Sign-up by 01/11
Limited to 30 participants
Attendance: Participants welcome at individual sessions

This 8-session intensive activity presents power system analysis techniques that will help in modeling and understanding the role of electric power systems in a carbon-constrained economy. The massive deployment of intermittent renewables, the anticipated surge of active demand response or the development of smart grids are among the challenges that have to be faced by the mathematical models for optimization, analysis and simulation of the complex decision making processes in power systems. Apart from a theoretical description of the models, the instructors will provide the students with a collection of prototypes that will allow them to run study cases and to understand the effect of the different mathematical formulations on the outcomes. The use of these models in some real-world applications will also be presented.

Sponsor(s): MIT Energy Initiative, Institute for Data, Systems and Society (IDSS)
Contact: Karen Tapia-Ahumada, 617 715-5367, KATAPIA@MIT.EDU

I: Models for the short term

	Jan/15	Tue	09:00AM-01:00PM	E51-372, Bring your laptop
	Jan/16	Wed	09:00AM-01:00PM	E51-372, Bring your laptop

Andres Ramos - Professor, Karen Tapia-Ahumada - Research Scientist, Javier Garcia Gonzalez - Professor

II: Models for the medium term

	Jan/17	Thu	09:00AM-01:00PM	E51-372, Bring your laptop
	Jan/18	Fri	09:00AM-01:00PM	E51-372, Bring your laptop

Andres Ramos - Professor, Karen Tapia-Ahumada - Research Scientist, Javier Garcia Gonzalez - Professor

III: Stochastic short & mid-term models

	Jan/22	Tue	09:00AM-01:00PM	E51-372, Bring your laptop
	Jan/23	Wed	09:00AM-01:00PM	E51-372, Bring your laptop

Andres Ramos - Professor, Karen Tapia-Ahumada - Research Scientist, Javier Garcia Gonzalez - Professor

IV: Models for the long term

	Jan/24	Thu	09:00AM-01:00PM	E51-372, Bring your laptop
	Jan/25	Fri	09:00AM-01:00PM	66-168, Bring your laptop

Karen Tapia-Ahumada - Research Scientist, Andres Ramos - Professor, Javier Garcia Gonzalez - Professor

Nilanjan Chatterjee, Principal Research Scientist

Jan/18

Fri

01:00PM-03:00PM

54-1221

Enrollment: Unlimited: No advance sign-up

This session is to introduce new users to the JEOL JXA-8200 Superprobe. It will involve a demonstration of the capabilities of the electron microprobe, and a discussion on wavelength and energy dispersive spectrometry, and back-scattered electron, secondary electron, x-ray (elemental mapping) and cathodoluminescence imaging. Please fill out the form located here, or e-mail Dr. Chatterjee if you plan to attend.

Sponsor(s): Earth, Atmospheric and Planetary Sciences
Contact: Nilanjan Chatterjee, 54-1216, 617 253-1995, NCHAT@MIT.EDU

Jim Bales, Associate Director, Edgerton Center, Diane Brancazio, Maker Educator, Edgerton Center

Enrollment: Limited: Advance sign-up required
Sign-up by 01/11
Limited to 16 participants
Attendance: Participants must attend all sessions
Fee: $20.00 for course materials

This IAP, make something useful and fun with electronics!

Make your own Animated Light and Temperature Sensor / Display.  Learn skills in digital fabrication and analog circuitry while making a fun and useful device.  Participants will:

• Create a character using the laser cutter and 3D printer,
• Use electronic sensors to detect light and temperature levels,
• Control LEDs and gearmotors with analog circuitry

No experience necessary.  Attendance at all sessions is expected, materials fee of $20 to be paid before start of course.

Open to current MIT undergraduates.

No course credit.

Pre-register at this link.  Accepted participants will be notified by January 11, 5 pm.

Questions: contact Diane Brancazio dianeb@mit.edu

Sponsor(s): Edgerton Center
Contact: Diane Brancazio, 4-406, 3-2865, dianeb@mit.edu

	Jan/22	Tue	03:00PM-05:30PM	4-409
	Jan/23	Wed	03:00PM-05:30PM	4-409
	Jan/24	Thu	03:00PM-05:30PM	4-409
	Jan/29	Tue	03:00PM-05:30PM	4-409
	Jan/30	Wed	03:00PM-05:30PM	4-409
	Jan/31	Thu	03:00PM-05:30PM	4-409

Jim Bales - Associate Director, Edgerton Center, Diane Brancazio - Maker Educator, Edgerton Center

Robert Schulein, Staff

Enrollment: Limited: Advance sign-up required
Sign-up by 01/05
Limited to 20 participants
Attendance: Participants must attend all sessions
Prereq: Engineering or Physics Background or Interest

Free-space laser communication (lasercom) is poised to revolutionize space-based data transmission by enabling links with higher data rates and longer ranges than are practically achievable with radio-frequency systems. MIT Lincoln Laboratory and NASA recently demonstrated a
record-breaking high-data-rate lasercom link from a spacecraft orbiting the moon to ground stations on Earth with the Lunar Laser Communication Demonstration (LLCD). This class will provide students with hands-on experience designing and building a basic lasercom system. Lectures will provide an overview of lasercom concepts and students will apply these principles by building their own free-space lasercom systems and will compete for a best project award.

Sponsor(s): Lincoln Laboratory
Contact: Robert Schulein, schulein@ll.mit.edu

	Jan/15	Tue	10:00AM-04:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/17	Thu	10:00AM-04:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/22	Tue	10:00AM-04:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/24	Thu	10:00AM-04:00PM	NE45 - Beaver Works, Bring your laptop

Robert Schulein - Staff

Charles Leiserson, Professor of Computer Science & Engineering

Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/11
Attendance: Must attend tutorial
Prereq: Cilk or parallel C, or OpenMP

Work with a novel computer architecture, gain experience applying key
optimization concepts, and apply innovative thinking to cutting edge
sparse algorithms. You’ll randomly be assigned to a Graph Challenge
problem and have the opportunity to break out of the conventional
computer box using Emu's Cilk to solve the problem.  

Emu Technology turns the age-old computing challenge of moving massive chunks of data to a CPU on its head, instead moving small compute contexts TO the data. The Migratory Thread architecture is designed for Big Data analytics with integrated AI. Working on this Graph Challenge will give you experience in parallel programming and graph programming using C, Cilk and Linux, and the principles will be useful to you for conventional computers and clusters too.

Prizes will be awarded:

1st Prize: $1000. 
2 Finalist Prizes: $500 each.

Sign-up by January 11, 2019 by registering at

http://www.emutechnology.com/iap-emu-cilk-graph-challenge-registration/

Sponsor(s): Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Lab
Contact: TB Schardl, neboat@mit.edu

Half-Day Emu Cilk Tutorial

Jan/17

Thu

01:00PM-05:00PM

32-G882

The tutorial explores key capabilities including atomic arithmetic operations, remote operations and thread management. Data structure, memory and array management including lock-free data structures, replication, allocation and reduction are also addressed. We review methods for increasing parallel efficiency via API.Learn to use the Emu Simulator and get remote access to an Emu system.

Charles Leiserson - Professor of Computer Science & Engineering

Office Hour

	Jan/18	Fri	01:00PM-05:00PM	Stata, 7th Floor Lounge
	Jan/22	Tue	01:00PM-05:00PM	Stata, 7th Floor Lounge
	Jan/23	Wed	01:00PM-05:00PM	Stata, 7th Floor Lounge
	Jan/24	Thu	01:00PM-05:00PM	Stata, 7th Floor Lounge
	Jan/25	Fri	01:00PM-05:00PM	Stata, 7th Floor Lounge
	Jan/28	Mon	01:00PM-05:00PM	Stata, 7th Floor Lounge

MIT alumna and Emu Technology Software Engineer, Janice McMahon, will be available to answer questions during the afternoons that school is session. This gives you an opportunity to learn from an expert who has experience with multiple computer architectures.

Janice McMahon - Emu Engineer

Greg Balonek, Staff

Enrollment: Limited: Advance sign-up required
Sign-up by 01/04
Limited to 30 participants
Attendance: Participants must attend all sessions
Prereq: None

The MIT Independent Activities Period is offering a practical and engaging course exploring the fascinating and multitudinous applications of holography. What is Holography? It is not merely art. Holography encompasses a variety of measurement and recording techniques at the intersection of wave-propagated interference and diffraction. Consequently, it enjoys utility and relevance across physics domains. From low radio frequencies through optical wavelengths, to X-ray and beyond. This course will demystify holography by covering fundamental theory coupled with hands on laboratory sessions. During the laboratory sessions students will create their own computer generated holograms and a take-home traditional optical hologram.  

Sponsor(s): Lincoln Laboratory
Contact: Greg Balonek, gregory.balonek@ll.mit.edu

Hands On Holography

	Jan/07	Mon	10:00AM-12:00PM	NE45 Beaver Works, Bring your laptop
	Jan/09	Wed	10:00AM-12:00PM	NE45 Beaver Works, Bring your laptop
	Jan/11	Fri	10:00AM-12:00PM	NE45 Beaver Works, Bring your laptop
	Jan/14	Mon	10:00AM-12:00PM	NE45 Beaver Works, Bring your laptop
	Jan/16	Wed	10:00AM-01:00PM	NE45 Beaver Works, Bring your laptop
	Jan/18	Fri	10:00AM-02:00PM	NE45 Beaver Works, Bring your laptop

Greg Balonek - Staff

Karl Berggren, Prof. of Electrical Engineering, Mark Mondol, Assistant Director NanoStructures Laboratory

Jan/15

Tue

10:00AM-04:00PM

26-142

Enrollment: Limited: Advance sign-up required
Sign-up by 01/14
Limited to 12 participants

Learn to use the most recent innovation in charged particle imaging. Participant's samples will be used to demonstrate the Zeiss Orion He Ion Microscope (HIM) with sub-nanometer beam diameter and very localized interaction volume. Surface imaging of conductive and non-conductive samples up to 3" in diameter and 5 mm thick (note that wet, non-vacuum suitable samples are not allowed).

Fundamentals of He Ion source and imaging will be presented by a Zeiss scientist closely involved with the design and innovation of the HIM followed by instruction and use of the HIM to image samples provided by the attendee or interesting samples on hand.

To sign up for this activity, please fill in your information here.

Sponsor(s): Research Laboratory of Electronics, Electrical Engineering and Computer Science
Contact: Rinske Wijtmans, 36-213, 617-253-0926, wijtmans@mit.edu

Jacky Mallett, Assistant Professor, Reykjavik University, Iceland;, Stevie Steiner, CEO Aerogel Technologies;

Enrollment: Limited: Advance sign-up required
Sign-up by 01/07
Limited to 25 participants
Attendance: Participants should plan to attend all sessions
Prereq: Basic Java Programming or permission of instructor

Threadneedle is an agent based economic simulation framework developed at the University of Reykjavik, based directly on the double entry book keeping transactions used  by the banking system. As such it provides a unique tool for examining the influence of the  economy on the banking system, and vice versa.

In this workshop participants will use simple agent based economies, with markets, taxation, and other hallmarks of the modern financial system to explore the behaviour of the economy as  a  complex distributed networked system. We will explore systemic explanations for financial phenomena seen  in modern economies such as credit crises, bubbles, and market failure, and macro-economic differences between economies caused by variations in their financial infrastructure, in particular with respect to lending practices and changes in bank regulation over time. The workshop will also give  an historical review of the data and details of the systemic causes behind historic economic credit crises  and depressions, such as the 1930´s Great Depression, and the 2008 Great Recession.

Note, elements of this workshop contradict some current macro-economic theories.

Contact: Jacky Mallett, +354-693-2144, warlock@alum.mit.edu

Economic Simulation with Threadneedle

Jan/14

Mon

10:00AM-04:00PM

1-150, Inclusive dates: 14th-23rd January, Bring Laptop

Jacky Mallett - Assistant Professor, Reykjavik University, Iceland;

Jonathan Hunt, Associate Director, MIT Project Manus

	Jan/09	Wed	09:00AM-04:00PM	35-308, Bring your laptop with external mouse
	Jan/10	Thu	09:00AM-04:00PM	35-308, Bring your laptop with external mouse
	Jan/11	Fri	09:00AM-04:00PM	35-308, Bring your laptop with external mouse

Enrollment: Unlimited: Advance sign-up required
Attendance: Repeating event, participants welcome at any session

Hosted by: Project Manus and Autodesk, Inc.

This three-day workshop is an introduction to CAD and CAM using Fusion 360. Students will learn the basics of design for additive and subtractive manufacturing and simple workflows in Fusion. Students will leave the workshop with a small assembly they will have designed and prototyped on a 3D printer and a desktop CNC.

Fusion is the first 3D CAD/CAM/CAE tool that spans the entire product development cycle on a cloud-based platform. This class is a good introduction for students interested in classes such as 2.00b, 2.007, 2.008, 2.009, 2.75, D-Lab, and activities such as FSAE, SEVT, D4A, Hobby Shop, and all kinds of UROP projects. This class is geared towards those with little/no previous CAD or CAM experience and those transitioning from other CAD software.

*Adapted from The Intro to CAD Design taught by Mike Alcazaren in 2017

Learning goals:

*CAD Fundamentals

*CAD/CAM Workflow in Fusion 360

*DFM for additive and subtractive

*Use a 3D printer and a machine on a desktop CNC

Instructors:

*Gaby Waldman-Fried, Technical Program Manager, Autodesk Education Experiences

*Jonathan Hunt, Associate Director, MIT Project Manus

Note: We will break for lunch each day. Lunch will not be provided

Registration link: https://project-manus.libcal.com/event/4966450

Sponsor(s): MIT Innovation Initiative
Contact: Jonathan Hunt, (617) 253-0172, jmhunt@mit.edu

Mike Tarkanian

Enrollment: Limited: Advance sign-up required
Sign-up by 12/19
Attendance: Participants must attend all sessions
Prereq: None

Students will learn basic blacksmithing techniques using traditional tools to hand-forge mild steel. Drawing a taper, forming a scroll, twisting, and finishing techniques will be incorporated into simple projects.

ALL GROUPS FULL, CLOSED FOR ENROLLMENT

Sponsor(s): Materials Science and Engineering
Contact: Mike Tarkanian, x3-5946, tarky@mit.edu

Group 1

	Jan/07	Mon	03:00PM-05:00PM	Location TBD
	Jan/08	Tue	Time TBD	Location TBD, TBD
	Jan/09	Wed	Time TBD	Location TBD, TBD
	Jan/10	Thu	Time TBD	Location TBD, TBD

Class is FULL

Students must choose to be a part of group 1, 2 or 3. Mandatory introductory training with demonstration will be held for all participants from 3-5 PM on the first day of each session. At this meeting, students will be assigned to the 1-3, 3-5 or 5-7 PM sections for three consecutive afternoons.

Group 2

	Jan/14	Mon	03:00PM-05:00PM	Location TBD
	Jan/15	Tue	Time TBD	Location TBD, TBD
	Jan/16	Wed	Time TBD	Location TBD, TBD
	Jan/17	Thu	Time TBD	Location TBD, TBD

Class is FULL

Students must choose to be a part of group 1, 2 or 3. Mandatory introductory training with demonstration will be held for all participants from 3-5 PM on the first day of each session. At this meeting, students will be assigned to the 1-3, 3-5 or 5-7 PM sections for three consecutive afternoons.

Group 3

	Jan/22	Tue	03:00PM-05:00PM	Location TBD
	Jan/23	Wed	Time TBD	Location TBD, TBD
	Jan/24	Thu	Time TBD	Location TBD, TBD
	Jan/25	Fri	Time TBD	Location TBD, TBD

CLASS IS FULL

Students must choose to be a part of group 1, 2 or 3. Mandatory introductory training with demonstration will be held for all participants from 3-5 PM on the first day of each session. At this meeting, students will be assigned to the 1-3, 3-5 or 5-7 PM sections for three consecutive afternoons.

Omar Costilla-Reyes, Postdoctoral Researcher

Enrollment: Limited: Advance sign-up required
Sign-up by 01/11
Limited to 20 participants
Attendance: Participants must attend all sessions
Prereq: None

Machine learning is the process of extracting knowledge from data automatically, usually with the goal of making predictions on new, unseen data. In this tutorial, the Python programming and its computing libraries will be introduced in the context of machine learning.

The tutorial will be divided in 3 hands-on classes of 2 hours each. The tutorial will cover introduction to machine learning including supervised and unsupervised learning. No prior knowledge of the subject required.

Sponsor(s): Brain and Cognitive Sciences
Contact: Omar Costilla-Reyes, 46-6241, (857) 928-0641, costilla@mit.edu

Introduction to machine learning

Jan/14

Mon

10:00AM-12:00PM

46-3015, Bring your laptop

Unsupervised learning

Jan/15

Tue

10:00AM-12:00PM

46-3015, Bring your laptop

Supervised learning

Jan/16

Wed

10:00AM-12:00PM

46-3015, Bring your laptop

Jeffrey Shapiro, Julius A. Stratton Professor of Electrical Engineering, Kevin Holman, LL - Technical Staff

	Jan/24	Thu	01:00PM-05:00PM	36-144
	Jan/25	Fri	01:00PM-02:00PM	36-144
	Jan/25	Fri	02:00PM-05:00PM	38-633
	Jan/28	Mon	01:00PM-05:00PM	36-144
	Jan/29	Tue	01:00PM-02:00PM	36-112
	Jan/29	Tue	02:00PM-05:00PM	38-633

Enrollment: Contact jshaps@mit.edu
Sign-up by 01/03
Limited to 10 participants
Attendance: Participants must attend all sessions
Prereq: Signal analysis (Fourier transforms, etc.) useful

Laser radars, like their microwave counterparts, send out electromagnetic signals and sense
properties of their environment by collecting reflections therefrom. However, because the
infrared wavelengths used by laser radars are orders of magnitude shorter than
wavelengths employed in microwave radars, the laser systems provide much finer spatial
resolution in comparison with microwave systems. Similarly, the much higher carrier
frequency of laser radars, as opposed to microwave radars, provides the former with much
greater Doppler shifts upon reflection from a moving object. Likewise, the much higher
bandwidths available to laser radars gives them superior range resolution in comparison
with lower bandwidth microwave radars. All these advantages come with some major
differences. Laser radars employ technologies that are very different from those of
microwave radars. Furthermore, atmospheric propagation effects are far more deleterious
at infrared wavelengths than they are at microwave wavelengths. Thus both microwave
and laser radars have different application domains in which one is superior to the other.
Lectures cover the essentials of laser radar technology, the fundamental behaviors of optical
propagation and detection relevant to determining laser radar performance, and examples
of state-of-the-art laser radar applications, including the emerging application of
autonomous vehicle navigation.  Physics and EE students preferred.  Student must attend
all classes.

Sponsor(s): Electrical Engineering and Computer Science
Contact: Jeffrey Shapiro, (617) 253-4179, jhs@mit.edu

Angelina Jay, Project Manus, Technical Instructor

Jan/22

Tue

05:00PM-08:00PM

35-307

Enrollment: Unlimited: Advance sign-up required

Do you enjoy making things and sharing that knowledge with others? Join Project Manus’ MakerLodge for our IAP open house to learn how you can become a MakerLodge mentor. Our mentors train MIT’s first year students on a variety of tools from 3D printers and laser cutters to band-saws and drill presses. Grab a bite to eat and chat with current mentors and project staff to see if becoming a mentor is right for you!

Registration is required. To sign up, email Angelina Jay at angiejay@mit.edu.

Hosted by: MIT Project Manus

Sponsor(s): MIT Innovation Initiative
Contact: Angelina Jay, 617-258-089, angiejay@mit.edu

Dr. Rozzeta DOLAH, Post Doctoral Fellow

Jan/31

Thu

01:00PM-05:00PM

7-238, Rotch Library, Will be held in the GIS & Data lab inside Rotch

Enrollment: Limited: Advance sign-up required
Sign-up by 01/22
Limited to 16 participants
Prereq: None, Open to all MIT affiliates

MINITAB is a powerful statistical software for process optimization and research enhancement. It provides Zero-Defects and optimum yield for product and process in science and engineering field. MINITAB is a simple, effective way to input statistical data, identify trends and patterns, problem’s troubleshooting, and extrapolate answers to the problem at hand.

During this workshop, you will learn how to:

• Optimize process through response optimizer
• Assure process robustness
• Control variation and correlate process parameters

Register here: https://libcal.mit.edu/event/4860660

The workshop is located in the GIS & Data Lab within Rotch Library. Computers required an MIT kerberos login.

Co-organizer: MIT Postdoctoral Association (MIT PDA), under Professional Development Chair: Qasim Bukhari (pda-professional@mit.edu)

Lunch will be provided.

About Instructor:  Dr. Rozzeta Dolah is a post doctoral fellow at Prof. Karnik Lab, MIT Department of Mechanical Engineering. She has extensive experience in industry as a process engineer, where she uses MINITAB in various Black Belt Six Sigma projects, problem solving for defects, and variation elimination. As a MINITAB trainer, she builds quality into product design through the implementation of robust Taguchi Method (Robust Quality Engineering), Design of Experiments (DOE), and Lean Six Sigma.  

Sponsor(s): Libraries
Contact: Jennie Murack, 7-238, 617 258-6680, MURACK@MIT.EDU

Philip Greenspun, Tina Prabha Srivastava, David Buser

	Jan/22	Tue	09:00AM-05:00PM	3-270, 56-114 as overflow room
	Jan/23	Wed	09:00AM-05:00PM	32-141, 56-114 as overflow room
	Jan/24	Thu	09:00AM-05:00PM	32-141, 56-114 as overflow room

Enrollment: Unlimited: Advance sign-up required
Attendance: Participants must attend all sessions
Prereq: Register for 16.687 (3 units; graded PDF)

Would you like to fly a plane, helicopter, or commercial drone? Or understand the engineering behind today's human-occupied aircraft and air traffic control system? Come spend 3 days with us and learn everything that an FAA-certificated Private Pilot or Remote Pilot needs to know for the official knowledge test. The course includes qualitative aerodynamics, airplane and helicopter systems, practical meteorology, navigation and cross-country flight planning, and human factors. We present the FAA-required theory, pose some thought-experiments, and offer practical advice based on instructors' real-world experience.

Course Staff: Tina Prabha Srivastava, pilot and MIT alum (Course 16 SB; SDM SM; ESD PhD, supervised in Course 16, ESD, Sloan); Philip Greenspun, FAA Airline Transport Pilot and Flight Instructor for both airplanes and helicopters, MIT alum (Course 18 SB; Course 6 PhD); David Buser, FAA CFII.

Prereqs: About 2 evenings of reading. Download 3 free PDFs from the FAA web site:  Pilot’s Handbook of Aeronautical Knowledge (read Chapters 1, 3-8, 12, 14-16), Airplane Flying Handbook, (read Chapters 1-3, 7-8, 10), and Helicopter Flying Handbook (read Chapters 1-4, 9). Download ForeFlight (iOS only) or Garmin Pilot (Android or iOS) and set yourself up with a 30-day free trial. Bring a device to class, if convenient.

Register in WebSIS and at http://philip.greenspun.com/teaching/ground-school/.

Also visit: https://stellar.mit.edu/S/course/16/ia19/16.687/.

Sponsor(s): Aeronautics and Astronautics
Contact: Philip Greenspun, philg@mit.edu

Michael Boulet, Andrew Fishberg, Mark Mazumder, Nathan Hughes, Jason Nezvadovitz, Sertac Karaman

Enrollment: Register in WebSIS in 6.S184 or 16.S685.
Limited to 30 participants
Attendance: Participants must attend all sessions
Prereq: See description.

Modern robots tend to operate at slow speeds in complex environments, limiting their utility in high-tempo applications. In the RACECAR course, you will be tasked with pushing the boundaries of unmanned vehicle speed. Participants will work in teams of 4-5 to develop dynamic autonomy software to race a converted RC car equipped with LIDAR, a stereo camera, an inertial measurement unit, and embedded processing around a large-scale, "real-world" course. Working from a baseline autonomy stack, teams will modify the software to increase platform velocity to the limits of stability. The course culminates with a timed competition to navigate a racecourse. The 2019 course will emphasize machine learning approaches, such as a pixel-to-actuator deep neural network control architecture. Classes will provide lecture overviews of relevant algorithms and lab time with instructor-assisted development. Participants should plan on 4-10 hours per week of self-directed development. Students must have experience with software development. Past exposure to robotics algorithms and/or embedded programming will be useful. See also: https://www.youtube.com/watch?v=p18879Dji4c .

Subscription: To subscribe, please send an e-mail to racecar-iap-course-subscribe@mit.edu with a brief description of your programming/robotics experience. If you would like to register for credit, please also register through WebSIS in either 6.S184 or 16.S685.

Sponsor(s): Aeronautics and Astronautics, Lincoln Laboratory, Electrical Engineering and Computer Science
Contact: Sertac Karaman, racecar-iap-course-subscribe@mit.edu

	Jan/09	Wed	03:00PM-05:00PM	32-044
	Jan/11	Fri	03:00PM-05:00PM	32-044
	Jan/14	Mon	03:00PM-05:00PM	32-044
	Jan/16	Wed	03:00PM-05:00PM	32-044
	Jan/18	Fri	03:00PM-05:00PM	32-044
	Jan/23	Wed	03:00PM-05:00PM	32-044
	Jan/25	Fri	03:00PM-05:00PM	32-044
	Jan/28	Mon	03:00PM-05:00PM	32-044
	Jan/30	Wed	03:00PM-05:00PM	32-044
	Feb/01	Fri	03:00PM-05:00PM	32-044

Dwight Hutchenson, Staff

Enrollment: Limited: Advance sign-up required
Sign-up by 01/04
Limited to 16 participants
Attendance: Participants must attend all sessions
Prereq: Engineering Background or interest

Software radio technology is having a tremendous impact not only in consumer devices but also in the areas of rapid prototyping and research and development. MIT Lincoln Laboratory is offering a course to introduce students to software radio fundamentals and applications. Students will gain hands-on experience with the USRP, RTL-SDR, and HackRF software radio platforms while learning theory and practice of digital signal processing and digital communications. The course will consist of several projects, such as FM radio receivers, digital video transmission and reception, and spectrum sensing, highlighting the flexibility of software radios.

Sponsor(s): Lincoln Laboratory, Electrical Engineering and Computer Science
Contact: Dwight Hutchenson, dwight.hutchenson@ll.mit.edu

	Jan/15	Tue	01:00PM-05:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/17	Thu	01:00PM-05:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/22	Tue	01:00PM-05:00PM	NE45 - Beaver Works, Bring your laptop
	Jan/24	Thu	01:00PM-05:00PM	NE45 - Beaver Works, Bring your laptop

Dwight Hutchenson - Staff

Pedro Reynolds-Cuellar, Ph.D. Student, MIT Media Lab

Jan/07

Mon

09:00AM-05:00PM

Coffee farms, Course duration is 3.5 weeks

Enrollment: Online submission at bit.ly/mitcoffee
Sign-up by 12/02
Prereq: Fill out application at bit.ly/mitcoffee

Coffee plays a key role in Colombia’s economy. Almost 600,000 families are currently producing coffee in the country, from regions limiting with Ecuador in the South, up to the Caribbean Sea region in the North. Average annual coffee production in Colombia reaches close to 12 million bags and it represents the third highest in the world only after Brazil and Vietnam. In most cases, and due to the way property and land is structured, harvesting and post harvesting processes are carried out by the farmers themselves. Infrastructure for carrying out these processes locally varies across producers with a growing interest in technology that can provide support both production stages.

In this IAP course, small-scale coffee farmers and students from MIT and other universities in large coffee producing nations, will co-design technologies to help improve the coffee production process.

This course is offered jointly between the MIT Media Lab and the MIT D-Lab

Contact: Pedro Reynolds-Cuellar, E15-345, 781-803-0041, pcuellar@mit.edu

Gerald J. Sussman, Panasonic Professor of EECS

Enrollment: Advanced sign-up; MIT students preferred
Sign-up by 01/18
Limited to 32 participants
Attendance: Required Lecture, one assigned section

Most watches these days are electronic miracles, but we
cannot easily get insight into how they work. The
traditional mechanical wristwatch is different in that we
can see all of the parts and how they interact. A
mechanical watch is a high-precision mechanical device with
lots of clever ideas and insights that we can learn from.

In this activity each student will learn about the design
and construction of a mechanical watch. The student will
take apart a watch movement and put it back together, with
instruction and help from Brianna Le, a watchmaker from the
New York Horological Society, and Prof. Jerry Sussman (an
amateur watchmaker). The entire exercise will take 4 hours.
and each session will be limited to 8 students. Students
need no prior experience, and all tools and materials will
be provided by the instructors, as needed.

Before the activity, Professor Sussman will also give a lecture on the theory
of the mechanical watch and its relationships to an
electronic impulse-driven oscillator.

Sponsor(s): Electrical Engineering and Computer Science
Contact: Marisol Diaz, marisol@csail.mit.edu

Deconstruct/Reconstruct Mechanical Watch

Jan/25

Fri

11:00AM-01:00PM

32-124

Gerald J. Sussman - Panasonic Professor of EECS

Deconstruct/Reconstruct Mechanical Watch

Jan/26

Sat

09:00AM-01:00PM

TBD

Gerald J. Sussman - Panasonic Professor of EECS

Deconstruct/Reconstruct Mechanical Watch

Jan/26

Sat

02:30PM-06:30PM

TBD

Gerald J. Sussman - Panasonic Professor of EECS

Deconstruct/Reconstruct Mechanical Watch

Jan/27

Sun

09:30AM-01:30PM

TBD

Gerald J. Sussman - Panasonic Professor of EECS

Deconstruct/Reconstruct Mechanical Watch

Jan/27

Sun

02:30PM-06:30PM

TBD

Gerald J. Sussman - Panasonic Professor of EECS