EECS16A, Designing Information Devices and Systems I
Fall 2021
Scheduling Updates
Schedule
Please note that Youtube videos will require that you are signed into a berkeley.edu account. Otherwise, you'll see some indication of the video being private. The schedule below is subject to change; for deviations from the schedule, see the scheduling updates section above.
Note: The password for Zoom cloud recordings for the single remote discussion will be eecs16a! .
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Notes
Grey notes are *still relevant material* for the course! They simply have not yet been covered in lecture. Blue notes have been covered in lecture. Notes with an [updated] tag to their left have been changed since last semester's iteration. Be aware that the un-updated notes are subject to change.- Note 0 - Introduction
- Note 1A - Systems of Linear Equations
- Note 1B - Gaussian Elimination
- Note 2A - Matrices and Vectors
- Note 2B - Matrix Multiplication
- Note 3 - Linear Independence and Span
- Note 4 - Mathematical Thinking and Derivation
- Note 5 - Water Reservoirs, Pumps and Matrix Multiplication
- Note 6 - Matrix Inversion
- Note 7 - Vector Spaces
- Note 8 - Matrix Subspaces
- Note 9 - Eigenvalues and Eigenvectors
- Note 10 - Change of Basis (NOT IN SCOPE)
- Note 11A - Introduction to Electrical Circuit Analysis
- Note 11B - Node Voltage Analysis (NVA)
- Note 12 - Voltage Dividers and Resistors
- Note 13 - Resistive Touchscreen and Power
- Note 14 - More Resistive Touchscreen
- Note 15 - Superposition and Equivalence
- Note 16 - Capacitors
- Note 17 - Capacitive Touchscreens and Comparators
- Note 17B - Charge Sharing
- Note 18 - Op-Amps in Negative Feedback
- Note 19 - More Op-Amp Topologies
- Note 20 - Op-Amp Current Source and Circuit Design
- Note 21 - Inner Products and GPS
- Note 22 - Trilateration and Correlation
- Note 23 - Least Squares
- Note 24 - Orthogonal Matching Pursuit (NOT IN SCOPE)
- Note 25 - More Trilateration
Calendars
Office hours and HW Party are held here.
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NOTE (8/20/21): Calendar events for this semester are still being added in. Please be patient if you see missing events. Thanks!
Discussion Schedule
Monday and Wednesday discussion sections cover different material, and you are very strongly encouraged to go to a discussion both days.
Discussion Schedule | ||||
Time (Mon/Wed) | Section | |||
9am-10am | Dylan (Wheeler 108) | |||
10am-11am |
Anvitha (Online) Austin (Wheeler 102) Mohsin (Cory 521) |
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11am-12pm | Yashovardhan (Wheeler 102) Dixun Cui (Mulford 240) |
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12pm-1pm |
Emma (Wheeler 102) Shreya (Wheeler 204) Aniruddh (Wheeler 222) |
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1pm-2pm |
Anusha (Remote; Zoom link TBD) Rawan (Social Sciences 170) Rohan (Cory 241) |
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2pm-3pm |
Frederic (Wheeler 222) Oliver (Dwinelle 88) |
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3pm-4pm |
Abishek (Wheeler 108) Shreya (Cory 521) |
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4pm-5pm |
Emma (Cory 521) Viraj (Wheeler 108) |
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5pm-6pm |
Dahlia (Wheeler 20) [CS Scholars] Ke (Wheeler 24) |
Resources
Piazza (Ask Questions Here)
Homework Practice Problems
Textbook: Condensed Note Content Summaries and Practice Problem Solutions
This book consists of condensed sets of notes that summarize the important material from the course notes, as well as detailed solutions for the online Practice Problems! Here's the entire book and the Table of Contents. Individual chapters of the book (notes and solutions by practice set) can be found here (the links aren't perfect, you may need to scroll a tiny bit down for some chapters). A couple brief comments on using this resource:
- I recommend skimming the Introductory Chapter and the Conventions Chapter. These will provide some useful tips to keep in mind.
- Each chapter has a Relevant Information section and a Problems section. The first contains a (generally complete) summary of the corresponding content from the notes. The second contains the detailed solutions mentioned above.
- This is a new resource, and may well have errors or areas to improve in; if you spot something wrong and would like to mention it, or have feedback of any kind, please submit a feedback ticket.
Technology Needs (STEP)
Student Technology Equity Program (STEP). STEP provides laptops and other technologies for free and is for undergraduate, graduate, and professional students. It requires just a simple online application form. For details, see here.
Recommended Texts
- EE16A's Guide to the Recommended Texts
- ELECTRONICS Reader (50MB) by Ali M. Niknejad, or the smaller file without links (5MB)
- Intoduction to Linear Algebra by Gilbert Strang, 5th Ed.
- Schaum's Outlines of Linear Algebra, 5th ed. by Seymour Lipschutz and Marc Lipson. Free if login from the university network. Also see roaming passports.
- Schaum's Outline of Electric Circuits, 7th ed. by Mahmood Nahvi and Joseph A. Edminister. (instructions to login to the university network from home here )
Circuit Cookbooks
- Recipe: Nodal Analysis!
- Recipe: Charge Sharing!
- Charge-Sharing Algorithm (Sp20)
- Recipe: Thevenin and Norton Equivalents! (INCOMPLETE)
- Recipe: Design Topologies!
Extra Resources
- Step-By-Step Gaussian Elimination by Andi Gu, a former student. Has at least one very minor bug regarding labeling of row operations.
- studEE16A (may need to load each page twice to view the LaTeX)
- Fun with Stacked Caps
- EECS16A Lab Equipment Guide
- Review of Past Proofs
- Fall 2020 Discussion Checkoffs: Questions and Answers
Setting up How-To's
Past Exams
Past exams vary in scope from semester to semester, and may include topics that are not in scope for the current semester or module. Unavailable exams are indicated by N/A. In-scope topics for the current semester will be posted on Piazza about a week before the corresponding exam.Semester | Midterm 1 | Midterm 2 | Final |
---|---|---|---|
sp21 | pdf, sol | pdf, sol | pdf, sol |
fa20 | pdf, sol | pdf, sol | pdf, sol |
su20 | pdf, sol | pdf, sol | pdf, sol |
sp20 | pdf, sol | pdf, sol | pdf, sol |
fa19 | pdf, sol | pdf, sol | pdf, sol |
sp19 | pdf, sol | pdf, sol | pdf, sol |
fa18 | pdf, sol | pdf, sol | pdf, sol |
sp18 | pdf, sol | pdf, sol | pdf, sol |
fa17 | pdf, sol | pdf, sol | pdf, sol |
su17 | pdf, sol | pdf, sol | N/A |
sp17 | pdf, sol | pdf, sol | N/A |
fa16 | pdf, sol | pdf, sol | pdf, sol |
sp16 | pdf, sol | pdf, sol | pdf, sol |
fa15 | pdf, sol | pdf, sol | pdf, sol |
sp15 | pdf, sol | pdf, sol | pdf, sol |
Simulations and Demos
This is a running list of simulations and demos that have been created in recent semesters (in rough order of appearance).Practice Sets: Links to Notes and Solutions
It is very strongly recommend that you try the problems themselves here before looking at the solutions below. The links for solutions are not perfect, so you may need to scroll to the bottom of the linked page to find them. Give feedback here.
Course Staff
Please add berkeley.edu to the end of all emails!Instructor
Dr. Ana Claudia Arias is a Professor at the Electrical Engineering and Computer Sciences Department at the University of California in Berkeley and a faculty director at the Berkeley Wireless Research Center (BWRC). Prior to joining the University of California she was the Manager of the Printed Electronic Devices Area and a Member of Research Staff at PARC, a Xerox Company, Palo Alto, CA. She went to PARC from Plastic Logic in Cambridge, UK where she led the semiconductor group. She received her PhD in Physics from the University of Cambridge, UK. Prior to that, she received her master and bachelor degrees in Physics from the Federal University of Paraná in Curitiba, Brazil. Her research focuses on devices based on solution processed materials and application development for flexible sensors and electronic systems. Dr. Arias is a co-founder of InkSpace Imaging, a startup company that aims to commercialized flexible MRI coils for pediatric patients.
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acarias@
Michael (Miki) Lustig is an Associate Professor in EECS. He joined the faculty of the EECS Department at UC Berkeley in Spring 2010. He received his B.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology in 2002. He received his Msc and Ph.D. in Electrical Engineering from Stanford University in 2004 and 2008, respectively. His research focuses on computational imaging methods in medical imaging, particularly Magnetic Resonance Imaging (MRI). Miki is a jolly good Fellow of the Society of Magnetic Resonance in Medicine. Education 2008, PhD, EE, Stanford University 2004, MSc, EE, Stanford University 2001, BSc, EE, Technion, IIT. Miki is a co-founder of InkSpace Imaging, a startup company that aims to commercialized flexible MRI coils for pediatric patients.
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mlustig@
GSIs
Hi there! I'm a third year EECS major. Currently, I'm working on research focused on data analysis of the electric grid, which combines signal processing, circuits, and machine learning -- all things you'll learn about in 16A this semester! In my free time, I enjoy knitting, reading, cooking, and wandering aimlessly around Berkeley. I'm looking forward to getting to know you this semester!
Head/Dis
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dahliasaba@berkeley.edu
I'm a 4th year studying mechanical engineering and EECS. I do research in design theory and I am passionate about electric vehicles and alternative forms of travel. Outside of school, I enjoy swimming, cooking, video games, and sleep.
Head/Dis
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dixuncui@berkeley.edu
I'm a fourth year EECS major interested in embedded systems and aerospace. I like 16A because it provides a foundation in linear algebra and circuits with fun and interesting labs. Outside of school I enjoy playing tennis, video games, and hiking.
Head Lab
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vidishgupta@berkeley.edu
Hi! I'm Raghav, a junior in the EECS major. I am really interested in Computer Architecture, (so far :). 16A is one of the best classes I've taken at Berkeley because of the unique perspective it gives one on solving real world problems with the simplicity of linear algebra. I'm very passionate about aviation, technology, soccer and F1. I love traveling, hiking and endurance running and cycling. Oh and I thoroughly enjoy talking to people, so feel free to hit me up!
Head Lab
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raghavgupta@berkeley.edu
I'm a fourth-year EECS major currently conducting research in power electronics. My favorite part of 16A is the circuits module: I find the creative aspect of circuit design to be quite rewarding, and the hands-on lab work is super fun. Outside of academics, I love outdoor adventures (particularly aquatic ones), classical music, and cooking.
Lab/Content/Admin
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amandajackson@berkeley.edu
Hey, I'm Viraj! I'm a sophomore in EECS, and I'm interested in many things, like circuits, signals, ML, and I'm not opposed to a maths puzzle or two as well! When I'm not doing that kind of stuff, I like to play the guitar, ukelele or sing, go for jogs, doodle, and curate my ever growing collection of eecs-related memes.
Dis
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virajramakrishnan@berkeley.edu
Hello there! I'm a third year studying EECS. In my free time I enjoy running, board games, exploring theories behind the meaning of life, and slaying noobs in Minecraft. I hope 16A gives you infinite power with knowledge, and that you have a great semester!
Dis/Content
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fredwang@berkeley.edu
Hey Y'all! I'm Rishi, and I'm a sophomore double-majoring in Computer Science and Economics from the armpit of the US. Being from NJ, I am incredibly stuck up about bagels and pizza. I'm super into lifting and food, and I love to ski and adrenaline chase!
Lab
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rishikundargi@berkeley.edu
Hi all! I'm a fourth year EECS major and I am a discussion TA this semester. I'm interested in digital circuit design, computer architecture, and firmware programming. My favorite non-EECS related pastimes are playing video games, eating, and running.
Dis
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dylanbrater326@
Hey everyone! I'm Shreyash, a junior EECS Major. I am from India but I was born and brought up in Abu Dhabi, UAE (yes we have a rivalry with Dubai!). My academic interests are Cloud/High Performance Computing, Control Systems and Autonomous Vehicles. EECS 16A is one of the most enjoyable classes I have taken till now as it lays a great foundation for future EE and EECS classes. Outside of academics, my interests lie mainly in sports and music.The sports I avidly follow and watch are football (soccer for my American friends), cricket, combat sports, and tennis. If you ever want to have some controversial sports debates, hit me up! I look forward to a great semester with y'all!
Lab
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shreyash2106@berkeley.edu
Hi, I'm a (super!) senior majoring in bioengineering and minoring in EECS. I've been doing research in printed flexible electronics for the last three years, and am currently specializing in agricultural sensing. I love doing research, and will be applying to electrical engineering PhD programs this semester. With my spare time, I enjoy running, cycling, making art, cooking, playing with my cats, and watching Survivor.
Dis/Content
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efwawrzynek@berkeley.edu
Hi! I'm a 4th year CS + Stats Major interested in all things Robotics and AI. In my free time, I enjoy playing squash, discussing politics, and ruining family photos. Super excited for this semester!
Dis/Software
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mohsin.sarwari@berkeley.edu
I'm a third-year EECS and BioE double major. I currently am targeting my study on Machine Learning and Computational Biology. My favorite part of 16A is its hands on nature. I have not been in a class that has lab as interesting as the EECS16 series. Outside of academics, I love to cook or learn about food. I also enjoy playing the piano and listening to classical music(love TwoSetViolin’s YouTube channel). Exercising can also bring me joy. Lastly, welcome to 16A and I hope you enjoy it!
Lab
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kittyguz@berkeley.edu
Hi friends! I'm a third year EECS & Materials Science Major, and I'm super excited to help teach 16A this semester! In my free time, I do computational MSE research, participate in various community organizations on campus, and listen to Bollywood music.16A helped teach me the valuable skill of decomposing complex problems into understandable pieces. I can't wait to help contribute to your 16A experience!
Dis
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akhanwale@berkeley.edu
Hi! I’m studying computer science and business, with an interest in entrepreneurship. I enjoy building things (both hardware and software) that are only occasionally useful. In my free time I love listening to music, making (trash) music, and aimlessly walking around campus in search of good food.
Lab
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jerrywzhang@berkeley.edu
Hi everyone! I'm a third year EECS undergrad and discussion/software TA for 16A. I'm excited to make sure the class runs smoothly for you all. On campus I participate in micro-robotics research, and in my free time I enjoy running!
Dis/Software
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austinpatel@berkeley.edu
Hi, everyone! I'm a third year CS + Physics major -- my technical interests include computational linguistics, computational physics, and quantum computing. Outside the classroom, I love Latin literature, all things Tolkien, and ice hockey! I'm always happy to discuss my research, good reading material, sports, or anything else that's on your mind.
Lab
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ayush.pancholy@berkeley.edu
Hello there! My name is Francis, and I'm a second year studying EECS. I'm interested in exploring unsupervised learning and computer vision topics, so I'm planning to research at a lab studying either of these areas. I love 16A because it shows you the magic of linear algebra: it's fun and it can be applied anywhere! In my free time, I enjoy camping, fishing, hiking, playing tennis and trying new food!
Lab
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fgeng@berkeley.edu
Hi everyone! I’m a third year student majoring in EECS from Sacramento, California, and I am interested in computer architecture and digital signal processing. In my free time, I enjoy listening to 2000s music, playing board games, and watching new TV shows. 16A is one of my favorite classes and I hope it is yours too. Feel free to reach out to chat with me - excited to meet you all and looking forward to a great semester!
Dis
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anushas18@berkeley.edu
I'm a 3rd year EECS major (more EE than CS), I will be doing research in optical engineering this Fall. I think 16A builds a solid foundation for further EECS courses through an application based learning approach. This is my third semester on course staff and I hope to make this a great learning experience for you. Outside classes, I play and watch a lot of sports (table tennis, cricket, football), am a total foodie, love watching movies, and you can always hit me up for a hike (fire trails in particular).
HW/Dis
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yasho123@berkeley.edu
Hi everyone! I am Abishek and am a Senior majoring in EECS and Economics. I am really passionate about data analytics and the application of AI in Finance. I love binge watching Netflix and some of my top show recs include Sherlock, Suits, Brooklyn Nine-Nine and Ozark. Please hit my up with any movie/tv show suggestions. I also enjoy cooking and trying out different recipes when I am bored and can make a strong case that Great China is the best restaurant in Berkeley. This is my third semester on 16A course staff, but it is my first time TA'ing. I am super excited to meet all of you and help you succeed in 16A!
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abishekshankar@berkeley.edu
Hey everyone! Hope you’re doing well! I’m a third-year CS major at Berkeley and I absolutely loved EECS 16A! There’s so much exciting stuff to learn in this course! I spend my free-time scooting through Golden Gate Park and going on road-trips around the Bay Area. Please reach out to me if you have any questions about the material or anything else — especially if you’re interested in gaining insider information about secret hiking spots in the Bay Area!
Lab
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anishbajaj@berkeley.edu
Hi, I’m a 4th year EECS major and I’m interested in the applications of machine learning and neural networks in autonomous driving and quantitative finance. Having grown up in Abu Dhabi, I love cold places. Talk to me about the IPL, cricket in general, and any of my academic interests. I wish you a great semester ahead!
Dis
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rohansood@berkeley.edu
Hello! I’m Anvitha, a third-year studying EECS with interests in artificial intelligence and computational neuroscience. In my free time, you can find me reading fiction, exploring new places, baking and sharing treats, making jewelry, or learning random skills. I love how linear algebra concepts and applications come together seamlessly in 16A, and I hope you will enjoy this class too! I look forward to meeting and working with you and hope you have a wonderful experience this semester!
Dis/Content
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anvitha@berkeley.edu
I am a PhD candidate in EECS working on implantable MEMS silicon neural probes for brain-machine interfaces. Outside of research, I enjoy backpacking/hiking, reading, and eating fried chicken.
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ochen@berkeley.edu
Hi! I'm a 3rd year PhD student in EECS conducting research in computational magnetic resonance imaging. My research involves using signal processing and optimization to develop image reconstruction and acquisition methods. In my free time, I enjoy dancing, playing badminton, and cooking.
Lab/Dis
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shreyar@berkeley.edu
I'm a second-year PhD interested in integrated circuits. I like to go for long walks and runs.
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raalkubaisy@berkeley.edu
I am a 6-year PhD student in EECS. My research is in computational optics, which is a combination of optical hardware, physical modeling, optimization algorithms, and machine learning. In my spare time I enjoy watching anime, playing tennis and gardening.
Content
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fanglin_liu@berkeley.edu
My name is Ke Wang and I am a forth-year Ph.D. student working with Prof. Miki Lustig and Prof. Stella Yu. My research interests mainly focus on medical imaging and computer vision, especially MRI. I am an enthusiast of science, engineering, music, ice skating and everything related to medicine and healthcare!
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kewang@berkeley.edu
About
EECS 16AB Course Coverage
EECS16AB was specially designed to ramp students up to prepare for courses in machine learning and design and are important classes to set the stage for the rest of your time in the department. A rough breakdown of the content in the classes is as follows:
16A:
Module 1: Introduction to systems and linear algebra
Module 2: Introduction to design and circuit analysis
Module 3: Introduction to machine learning
16B:
Module 1: Differential equations and advanced circuit design
Module 2: Introduction to robotics and control
Module 3: Introduction to unsupervised machine learning and classification
FAQ
Q1: Should I take EECS16A my first semester at Cal?
A1: If you have taken an AP calculus class, then the answer is yes! EECS16A has no prerequisites other than calculus and is designed with freshmen and incoming transfer students in mind. It is designed to be taken alongside 61A. Furthermore, we reserve seats for freshmen and incoming transfer students in the class, so you are essentially guaranteed a spot in the class your first year. It will be harder to get into the class as an upperclassman.
Q2: Should I take EECS 16A and EECS 16B before or after CS 70?
A2: EECS16A and 16B were specifically designed to help ease the transition to CS70 for incoming students. These classes provide an introduction to proofs and the kind of mathematical thinking that is very useful in a class like CS70. We recommend you take 16AB before taking CS70, this should help you have an easier time in CS 70.
Q3: Should I take MATH 54 before taking EECS16A?
A3: EECS 16A is designed to be taken without any prerequisites, so there is no need to take MATH 54 before EECS 16A. EECS 16AB teaches linear algebra with the intent of preparing you for courses like EECS 127 (Optimization) and EECS 189 (Machine Learning) and provides engineering and machine learning examples and applications for linear algebra. EECS 16AB also uses Jupyter notebooks and python so you can better connect linear algebra and computation.
Feedback
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