Electronic Commerce Models  096211





Lecture 
Exercise 
Laboratory 
Project or Seminar 
House Work 
Weekly Hours 
3 
1 


5 

Possibility to guided reading
Determination of the grade according to progress during the semester and a final examination.
Prerequisites
 
(
  Int. to Data Structur and Algorithms 
044268
 
  
and
 Introduction to Probability H 
104034
 ) 

or

(
  Data Structures and Algorithms 
094224
 
  
and
 Probability (Ie) 
094411
 ) 

or

(
  Data Structures and Algorithms 
094224
 
  
and
 Probability (Advanced) 
094412
 ) 

or

(
  Introduction to Algorithms 
094226
 
  
and
 Probability (Ie) 
094411
 ) 

or

(
  Probability (Advanced) 
094412
 
  
and
 Algorithms 1 
234247
 ) 

or

(
  Probability Theory 
104222
 
  
and
 Algorithms 1 
234247
 ) 

or

(
  Probability Theory 
104222
 
  
and
 Combinatorial Algorithms 
104291
 
  
and
 Introduction to Computing with Python 
234128
 ) 

or

(
  Probability Theory 
104222
 
  
and
 Combinatorial Algorithms 
104291
 
  
and
 Introduction to Computer Science N 
234221
 ) 

or

(
  Introduction to Algorithms 
094226
 
  
and
 Probability Theory 
104222
 ) 
Application of Information Technology (Particulraly the Internet) to ECommerce Models. the Models Include Bayesian Equilibrium Techniques, Distributed Games, Combinatorial Auctions,Other Trading Systems, Double Auction, Negotiations with Software Agents, Online Contracts. Analysis of ECommerce Companies. Requirements: Students Will Construct a Site with a Particular Trading System (Using C++ Or Java).
Times and places of examinations
01/2022
2202/2023 Winter Semester
examination time  day  date  Season 

 Monday  30.01.2023  א 
 Tuesday  28.02.2023  ב 
Timetable to semester 01/2022
2202/2023 Winter Semester
Room  Building  Hour  day  Lecturer  Exercise Lecture  no.  Registering Group 

527  בלומפילד  12:3015:30  Thursday  Dr. BenPorat Omer  Lecture  10  11 
527  בלומפילד  13:3014:30  Tuesday  Ms. Markovetzki Or  Exercise  11 
Created in 29/09/2022 Time 00:47:45