1. • HW1 Data Analysis can be accessed from UCSD datahub  Due THU Oct 17, by midnight
   

2. • It will take some time to familiarize with the system please START EARLY!
   

3. • Extension granted due to slow servers Due Tues Oct 22, by midnight
   

1. • Important: Location of the data.
   

2. • The datasets are stored at the following location: /datasets/ece227-fa19-public/data.
   

3. • Once you start your server and launch the course environment, ECE 227, do the following:
   

1. 1Either open a new terminal or a new python notebook.
   

2. 2Leave the current directory by running the command "cd .." Do this twice because you need to move two steps back (i.e., two directories backwards).
   

3. 3Run "ls" to see the list of available directories. You should see a list that looks like this:
   

bin/       dev/   lib/    mnt/   root/           sbin/  tmp/

boot/      etc/   lib64/  opt/   run/            srv/   usr/

datasets/  home/  media/  proc/  run_jupyter.sh  sys/   var/

4. 4Open the required datafile (located at /datasets/ece227-fa19-public/data) by using any suitable command, e.g. open("datasets/ece227-fa19-public/data/cit-HepTh.txt","r")
   

After following the steps above, you may read or write data from/to your chosen file.

1. • HW2Pen&Paper.pdf Due Thurs Oct 31 in class.
   

You do not need to do Task #6, only complete tasks 1-5.

HW2Solutions.pdf

1. • HW3 Data Analysis has been released and can be accessed from UCSD datahub This homework focuses on data visualization. Due Fri Nov 15 at midnight
   

Extension granted to Mon Nov 18 at midnight

 

1. •  HW4 has been released and can be from UCSD datahub This homework focuses on constrained optimization models and random graph models. Due Nov 26 at midnight
   

1. • HW4 will be the last HW. The poster presentation session will be the last day of class on Dec 5.