Lectures & review sessions
Lectures: Tuesdays and Thursdays, 9:30–10:45 am, Nvidia Auditorium. Available in streaming video format at SCPD.
Review sessions: Fridays 2:15–3:05 pm, Thornton 102. These are informal meetings with the TAs, that include an organized review portion as well as a Q&A portion. Attendance at these sessions is not required, and the sessions will be videotaped.
Textbook and optional references
There is no textbook. Everything we'll use is posted on the 263 website in pdf format. The course reader, which is nothing but a collection of all the material on this website, won't be available at the bookstore. If you want hardcopy, you can print the course reader yourself, or you can have it printed and bound at, for example, Fedex-Kinko's in Tresidder, at a cost of around $25 (make sure to bring your student ID).
Several texts can serve as auxiliary or reference texts:
You really won't need these books; we list them just in case you want to consult some other references.
Course requirements and grading
Grading: Homework 15%, midterm 40%, final 45%. These weights are approximate; we reserve the right to change them later.
Exposure to linear algebra and matrices (as in Math 104). You should have seen the following topics: matrices and vectors, (introductory) linear algebra; differential equations, Laplace transform, transfer functions. Exposure to topics such as control systems, circuits, signals and systems, or dynamics is not required, but can increase your appreciation.
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. EE263 covers some of the same topics, but is complementary to, CME200.