Statistics and Random Processes

Објавено: October 12, 2018
  1.    Course Title Statistics and Random Processes
  2.    Code 3ФЕИТ08З014
  3.    Study program KTI
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester IV/7   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Vesna  Andova
  9.    Course Prerequisites Passed: Probability

10.    Course Goals (acquired competencies):  Adopt the basic concepts and methods from random processes and systems. Development of analytical thinking, critical abilities, problem solving, ability to analyze and synthesize.

11.    Course Syllabus: Descriptive statistics. Data and types of data. Displaying data. Estimation of parameters. Method moment. Maximum-Likelihood Estimation method. Confidence intervals. Testing of parametric hypotheses. Testing nonparametric tests. Pirsons test, Kolmogorov, Kolmogorov-Smirnov test. Random processes-general terms. Markov chains. Poisson’s process. Generalization of the Poisson process. Queuening systems
12.    Learning methods:  Lectures, presentations, auditory exercises
13.    Total number of course hours 3 + 2 + 0 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16.    Other course activities 16.1. Projects, seminar papers 35
16.2. Individual tasks 20
16.3. Homework and self-learning 50
17.    Grading 17.1. Exams 35
17.2. Seminar work/project (presentation: written and oral) 0
17.3. Activity and participation 0
17.4. Final exam 65
18.    Grading criteria (points) up to 50 points     5 (five) (F)
from 51 to 60 points     6 (six) (E)
from 61 to 70 points     7 (seven) (D)
from 71 to 80 points     8 (eight) (C)
from 81 to 90 points     9 (nine) (B)
from 91 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam completed lab work
20.    Forms of assessment During the semester, two tests are planned, each with a duration of up to 60 minutes (in the 8th and 15th week) and an assignment. The assignment should be submitted before the end of the semester. For students who have passed the tests, a final oral exam lasting 60 minutes may be administered. The final grade includes the test scores, the project assignment, and the final oral exam. It is not allowed to use literature during partial exams unless otherwise stated. In the exam sessions, there is a written exam with a duration of 120 minutes. For students who have passed the written exam, a final oral exam can be conducted. The points from the written exam and the final oral exam are included in the final grade. The written exam consists of two parts, the theoretical part of which is not allowed to use notes
21.    Language Macedonian and English
22.    Method of monitoring of teaching quality Internal evaluation and surveys
23.    Literature
23.1. Required Literature
No. Author Title Publisher Year
1 John A. Rice Mathematical Statistics and Data Analysis Ars Lamina 2014
2 А. Field Discovering statistics using SPSS SAGE Publications 2005
3 Oliver C. Ibe Fundamentals of Applied Probability and Random Processes Elsevier 2005
23.2. Additional Literature
No. Author Title Publisher Year
1 S. Brandt  Data Analysis, Statistical and Computational Methods for Scientists and Engineers  Springer  1998
2  Милан Меркле  Вероватноћа и статистика за инжењере и студенте технике  Академска Мисао, Београд  2010