IELM 330: IT for Logistics and Manufacturing

Description:
Information processing in collaborative environments. Collaboration issues include basics of computer networks, client-server models and peer-to-peer models, security of communication, modeling, portals, search engines and protocols (e.g. HTML). Information processing will be covered via special topics such as data mining and case studies.

Course pre-requisite ielm 230 Industrial data systems

Objectives: On successful completion of this course, you will be able to:


Course Vector: [2-0-3 : 3]
Lectures: Monday 1pm - 2:50pm, Room 1504. Labs: Thursday 9am - 11:50pm, IS Lab (Rm 3207)

Instructor: Ajay Joneja, Room 5537, phone: 7119, email: joneja@ust.hk

TA's: Xu Ying, Room 4223, email: xyxu@ust.hk and Justin Xia Sibin, Room 4223, email: xiasibin@ust.hk .
TA hour: Friday 2pm-3pm; other time, by appointment.


Textbook:
No textbook is assigned for this course. Lecture notes are linked below. Other references include:


Grading: Final Exams: 40%; Quizzes: 30%; Homeworks: 10%; Labs: 20%;
Provisional Grades for fall 2007


Policies
1. Homework:
(i) Late HW will be graded, but will get 1 mark per late-day penalty.
(ii) Copying: if N-people have copied on a HW, the total grade of each person will be SCORE/N.
2. Exams:
Any violation of the University honesty code during Exam I or Exam II will result in 'F' grade.
3. Quizzes
Most lectures will begin with a short quiz based on topics covered in the previous 1-2 classes. The final quiz score will be computed by eliminating the worst score. Any violation of University honesty code during a quiz results in zero score for that quiz.
4. Labs:
Since some labs require some (simple) programming -- you are encouraged to try it out before coming to lab. TA's will be available during lab hours (9am-11:50am Thur), and you can come any time in this duration, and demo and/or get TA assistance to debug etc. Demo must be complete before the end of the lab. There is no penalty for late arrival, except on days when ON-TIME start is required (specified on Lab page).


Please look here for Homeworks and model solutions


Please look here for Lecture Notes for IELM 330


Please look here for Lab Notes for IELM 330


Prepared by Ajay Joneja, IELM, HKUST.