EE263: Introduction to Linear Dynamical Systems

Homework

Homework must be submitted by 11:59PM on Fridays. Submit hw (including code) on Gradescope. Late homework is not accepted.

Here is a file containing many past homework questions. Note that many of them require Matlab, and use old data files which are not available. However we are posting them here to give you a flavor of the material covered, and the types of homework and exam questions to expect.

You may discuss the homework as a group, but must write your own code and your own solutions individually. If you work with a partner/group, you must declare your partners in writing on your homework.

The homework will use the Julia language. This is required for this class. Other languages (Python, Matlab, R, Excel, etc) will not be supported or graded. You must turn in your code with your homework.

Data files are supplied in JSON format. See below for instructions on how to load these files into Julia.

Schedule:

• Homework 1, due Friday 10/6, at 11:59 PM. Solutions

  • directed_graph.json

  • pop_dyn_data.json

• Homework 2, due Friday 10/13, at 11:59 PM. Solutions

  • ts_data.json

  • gate_sizing_data.json

• Homework 3, due Friday 10/20, at 11:59 PM. Solutions

  • color_perception_data.json

  • one_bad_sensor.json

  • robot_coin_collector_.json

• Homework 4, due Friday 10/27, at 11:59 PM. Solutions

  • tomo_data.json

  • curve_smoothing_data.json

• Homework 5, due Friday 11/3, at 11:59 PM. Solutions

  • sysid_data.json

  • gauss_fit_data.json

• Homework 6, due Friday 11/17, at 11:59 PM. Solutions

  • backwards_compatible_transceiver_data.json

  • regl_data.json

• Homework 7, due Friday 12/1, at 11:59 PM. Solutions

  • sector_neutral_portfolio_data.json

  • temp_prof_data.json

  • ellip_bdry_data.json

• Homework 8, due Friday 12/8, at 11:59 PM. Solutions

Loading JSON data files

Load JSON data files in Julia using the method in readclassjson.jl. Download that file and save it somewhere useful, then use readclassjson(filename) to load the data into a dictionary containing all of the variables defined in the file.

For example, if the example_file.json contains a variable called X, you can read it by using

include("readclassjson.jl")
data = readclassjson("example_file.json")
X = data["X"]