## ENGR108: Course Information## LecturesWednesday and Friday, 11:30am–12:50pm PST. Our first lecture will be Wednesday January 13, 2021 at 11:30am–12:50pm PST and will be a live lecture. The zoom link for the lecture will be available in canvas. This lecture and all future ones will be recorded and available in canvas, so you'll be able to watch the lectures asynchronously. ## SectionsThe sections will be assigned and meet weekly starting the second week of classes. Sections will be 2 hours long, with the first hour spent on problem solving and Julia programming, and the remaining time used as office hours. Section Times (second hour is OH): Natalie Gable: TBA Chuan-Zheng Lee: TBA Onur Cezmi Mutlu: TBA Arvind Srivasta: TBA Grace Zhao: TBA
## Office hours
## TextbookThe textbook is written by Stephen Boyd and Lieven Vandenberghe, and is available on-line. You will not need to consult any other books or materials (though you are welcome to do so). ## Course requirements and grading
*Attendance and participation at sections.**Weekly homework assignments*. Homework will normally be assigned each Wednesday, and due the following Wednesday by 5pm PST.**Late homework will not be accepted.***Quizzes.*For Winter quarter 2020–21, we won't have midterm or a final exams. Instead we'll have three quizzes during the quarter. We've tentatively scheduled the quizzes for the Tuesday of the 4th, 7th, and 10th week of class (10/6, 10/27, 11/17). You will be able to take the quizzes asynchronously, to accomodate multiple time zones.
## PrerequisitesYou do not need to have seen any linear algebra before; we will develop
it from scratch. Math 51 is nominally a prerequisite, but we will use
very little of this material.
In the course you'll do some ## SyllabusWelcome to ENGR 108 (formerly known as EE 103 / CME 103): Introduction to Matrix Methods! We will primarily use Canvas, and there you'll find class information, assignments, and recorded lectures for the class. This website will not be regularly updated. Our goal is to cover the textbook chapters 1–17 (Constrained least squares applications) during the course. This quarter's ENGR108 will have assignments consisting of a written portion and a Julia portion. In place of a final or midterm, we will have low-stakes quizzes throughout the quarter. Written portions for assignments should be submitted via Gradescope, and Julia portions should be submitted via Ed. Quizzes will be conducted over Canvas/Ed, and more details will be announced as we approach our first quiz. Starting week 2, students will be required to attend weekly section hosted by course assistant and section leaders to review concepts and practice problems. Sections last for one hour, and are followed by one hour of office hours open to all students. Section assignments will be made during the first and second week of the quarter, and tentative time slots are posted below. To ask questions about the course material, the lecture slides, or anything related to the subject of the class, please post to Ed. We encourage you to post to Ed whenever something might be applicable to many people; however, if something is particularly sensitive you can email the course staff directly. ## Catalog descriptionIntroduction to applied linear algebra with emphasis on applications. Vectors, norm, and angle; linear independence and orthonormal sets; applications to document analysis. Clustering and the k-means algorithm. Matrices, left and right inverses, QR factorization. Least-squares and model fitting, regularization and cross-validation. Constrained and nonlinear least squares. Applications include time-series prediction, tomography, optimal control, and portfolio optimization. Prerequisites: MATH 51 or CME 100, and basic knowledge of computing (CS 106A is more than enough, and can be taken concurrently). ENGR108 is part of the EE and MS&E core requirements, approved for
the CS BS Math Elective and the Mathematics & Statistics requirement
in the School of Engineering,
and certified as a ENGR108 and Math 104 cover complementary topics in applied linear algebra. The focus of ENGR108 is on a few linear algebra concepts, and many applications; the focus of Math 104 is on algorithms and concepts. ## Course objectivesThe goal of this course is to introduce you to the basic ideas of
vectors, matrices, and (very basic) linear algebra, emphasizing
applications. We hope that you'll learn how linear algebra is
## Intended audienceThe course is targeted at undergraduate students in all fields, just as CS106a is. As long as you've got the prerequisites, and are up for it, you're welcome. |