Stochastic Models in Oper.Research  094314





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


4 

Determination of the grade according to progress during the semester and a final examination.
Prerequisites:
 
(
  Discrete Mathematics (for I.E) 
094344
 
  
and
 Probability (Ie) 
094411
 
  
and
 Linear Algebra M 
104009
 
  
and
 Introduction to Computer Science 
234111
 ) 

or

(
  Discrete Mathematics (for I.E) 
094344
 
  
and
 Probability (Advanced) 
094412
 
  
and
 Algebra a 
104167
 
  
and
 Introduction to Computer Science 
234114
 ) 

Linked Courses:
    Introduction to Statistics 
094423
 

Overlapping Courses:
    Introduction to Quantitative Methods in Management 
094390
 
This Course Is Concerned with the Construction of Mathematical Models of Stochastic Systems and Includes the Basic Concepts of the Theory of Stochastic Processes. the Course Concentrates on the Following Topics: Counting Processes (Bernoulli, Poisson Processes), Markov Jump Processes. Markovian Queueing Processes, Etc: Markov Chains. in Addition, the Course Contains An Introduction to Queueing Theory, Dealing Mainly with Single Server Queues (M/M/1 and M/G/1 Models).
Times and places of examinations
01/2017
2017/2018 Winter Semester
examination time  day  date  Season 

 Tuesday  06.02.2018  à 
 Thursday  15.03.2018  á 
Timetable to semester 01/2017
2017/2018 Winter Semester
Room  Building  Hour  day  Lecturer  Exercise Lecture  no.  Registering Group 

214  ðäåì  10:3012:30  Thursday  Full Professor Ioffe Dmitry  Lecture  10  11 
214  ðäåì  13:3014:30  Thursday 
112  ðäåì  13:3014:30  Monday  Ms. Yuviler Nitzan  Exercise  11 

214  ðäåì  10:3012:30  Thursday  Full Professor Ioffe Dmitry  Lecture  10  12 
214  ðäåì  13:3014:30  Thursday 
112  ðäåì  11:3012:30  Monday  Ms. Yuviler Nitzan  Exercise  12 

    Full Professor Ioffe Dmitry  Lecture  60  69 
     Exercise  69 
Created in 23/11/2017 Time 05:19:55