News - page last modified : 06/21/23 12:49 AM  Wednesday

[06/21/23] Thanks for taking this course. Have a great summer vacation!   

[06/21/23] Final exam is graded - [Max: 100, Average: 69.70, std: 19.48].   

[06/12/23] Implementation codes are uploaded in "Kumoh Elearning System".  

[06/12/23] Midterm is graded - [Max: 80, Average: 42.25, std :22.21]. You have to return it on this Wednesday.

[06/09/23] For your implementation exerise on June 12th, you need to install Matlab R2023a version. Moreover, you need to downlaod two files. These files are linked in the "Schedule".

[06/07/23] Final exam will be taken on June 19th (Monday). 

[05/30/23] The class on June 5th is deliverd using "Real time Webex". It is not offline lecture. The access information is announced in "Kumoh elearning System" - "https:elearning.kumoh.ac.kr". The third homework will be gathered on June 12th.

[05/15/23] The Third homework's due is extended on June 5th,  before the class. 

[05/08/23] The Third homework (Kalman filter-based Deep learning with "your own framework")'s due is on May 29th, before the class. Implementation codes, graph and your explanations are required.

[04/30/23] There is no class on May 1st, owing to University Policy (Labor day). The suppliment class will be announced. See you at the class on May 8th.

[04/10/23] Midterm will be taken on April 24th. It is a closed and in-class exam. Good luck!

[04/10/23] There is no class on April 17th. The suppliment class will be announced later.

[04/03/23] The Second homework (Deep learning using "Nonlinear Programming Appraoch")'s due is on April 10th, before the class. Implementation image and source code are required.

[03/21/23] The first homework (Rosenbrock Banana function optimization and implementation)'s due is on March 27th, before the class. Implementation image and source code are required.

[03/14/23] Every student have to show the installment of Matlab 2022Rb or the latest. You can bring your labtop. After checking it, the student without it is considered as a missing student.  

[03/08/23] Every student need to install Matlab 2022Rb or Matlab 2023Ra on each owned computer. Every toolboxes have to be installed.

[03/08/23] Every Lecture starts at 6:30 PM

[03/08/23] Course homepage is opened!

  General Information
  • IDG067-01 : Mon 06:30 PM-09:20 PM,  Global 702  
  • Instructor : Hyunsoo Lee

    Email : hsl "at" kumoh.ac.kr    Office : Global 542      Office hours : 12:00 PM~01:00 PM, Monday

  • Textbook : Lecture note and handouts
  • Topics to be covered : See the syllabus and Weekly Schedule section for more details.