Popis predmeta

Course Description

Digital communication system model. Characteristics of baseband and passband signal transmission. Model of a baseband transmission. Nyquist's criteria, optimal receiver, signal shaping and transmission filter, impact of channel nonlinearities. Equalization of a channel transfer function. Noises and their impact on system performances. Pseudo-noise sequences and their role in signal transmission. Line coding. Passband signal transmission and modulation techniques. Dana link layer performances. Flow and error control. Performance calculation of various types of communication networks.

Learning Outcomes

  1. Reproduce model of digital communication system.
  2. Recognize a difference between baseband and passband transmission.
  3. Design a physical layer of a digital communication system.
  4. Use a noise model to calculate its impact on a communication system performances.
  5. Analyze line coding and modulation techniques.
  6. Analyze performances of flow and error control.
  7. Calculate performances of various communication networks.

Forms of Teaching

Lectures

Lectures are held in two hour units.

Seminars and workshops

Themes are assigned to students, they have to elaborate it and present the results on one of the lectures.

Independent assignments

Problem is assigned to students, they have to elaborate it and present the results on one of the lectures.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 0 % 10 % 0 % 0 %
Attendance 0 % 10 % 0 % 0 %
Mid Term Exam: Written 0 % 40 % 0 %
Final Exam: Written 0 % 40 %
Exam: Written 0 % 100 %

Week by Week Schedule

  1. Digital communication system model
  2. Relation between baseband and passband
  3. Baseband communication model
  4. Shaping of signals; Optimal receiver; Nyquist's criterions; effect of nonlinearity
  5. Shaping of signals; Optimal receiver; Nyquist's criterions; effect of nonlinearity
  6. Transmission impairments
  7. Transmission impairments
  8. Midterm exam
  9. Line coding
  10. Modulation concept
  11. Data link layer performance analysis
  12. Data link layer performance analysis
  13. Performance analysis of local area networks
  14. Performance analysis of wireless networks
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (1. semester) (3. semester)
Communication and Space Technologies (profile)
Free Elective Courses (1. semester) (3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Science (profile)
Free Elective Courses (1. semester) (3. semester)
Control Systems and Robotics (profile)
Free Elective Courses (1. semester) (3. semester)
Data Science (profile)
Free Elective Courses (1. semester) (3. semester)
Electrical Power Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (1. semester) (3. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Electronics (profile)
Free Elective Courses (1. semester) (3. semester)
Information and Communication Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Network Science (profile)
Elective Courses of the Profile (1. semester) (3. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (1. semester) (3. semester)

Literature

(.), Osnovne arhitekture mreža,
(.), Communication Systems,
(.), Digital Communications: Fundamentals and Applications,
(.), Data Networks,
(.), Performance Analysis of Computer Networks,
(.), High-speed networks and internets: performance and quality of service.,

For students

General

ID 222509
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures

Grading System

85 Excellent
70 Very Good
55 Good
40 Acceptable

Learning Outcomes

  1. Reproduce model of digital communication system.
  2. Recognize a difference between baseband and passband transmission.
  3. Design a physical layer of a digital communication system.
  4. Use a noise model to calculate its impact on a communication system performances.
  5. Analyze line coding and modulation techniques.
  6. Analyze performances of flow and error control.
  7. Calculate performances of various communication networks.

Forms of Teaching

Lectures

Lectures are held in two hour units.

Seminars and workshops

Themes are assigned to students, they have to elaborate it and present the results on one of the lectures.

Independent assignments

Problem is assigned to students, they have to elaborate it and present the results on one of the lectures.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 0 % 10 % 0 % 0 %
Attendance 0 % 10 % 0 % 0 %
Mid Term Exam: Written 0 % 40 % 0 %
Final Exam: Written 0 % 40 %
Exam: Written 0 % 100 %

Week by Week Schedule

  1. Digital communication system model
  2. Relation between baseband and passband
  3. Baseband communication model
  4. Shaping of signals; Optimal receiver; Nyquist's criterions; effect of nonlinearity
  5. Shaping of signals; Optimal receiver; Nyquist's criterions; effect of nonlinearity
  6. Transmission impairments
  7. Transmission impairments
  8. Midterm exam
  9. Line coding
  10. Modulation concept
  11. Data link layer performance analysis
  12. Data link layer performance analysis
  13. Performance analysis of local area networks
  14. Performance analysis of wireless networks
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (1. semester) (3. semester)
Communication and Space Technologies (profile)
Free Elective Courses (1. semester) (3. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Computer Science (profile)
Free Elective Courses (1. semester) (3. semester)
Control Systems and Robotics (profile)
Free Elective Courses (1. semester) (3. semester)
Data Science (profile)
Free Elective Courses (1. semester) (3. semester)
Electrical Power Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (1. semester) (3. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Electronics (profile)
Free Elective Courses (1. semester) (3. semester)
Information and Communication Engineering (profile)
Free Elective Courses (1. semester) (3. semester)
Network Science (profile)
Elective Courses of the Profile (1. semester) (3. semester)
Software Engineering and Information Systems (profile)
Free Elective Courses (1. semester) (3. semester)

Literature

(.), Osnovne arhitekture mreža,
(.), Communication Systems,
(.), Digital Communications: Fundamentals and Applications,
(.), Data Networks,
(.), Performance Analysis of Computer Networks,
(.), High-speed networks and internets: performance and quality of service.,

For students

General

ID 222509
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures

Grading System

85 Excellent
70 Very Good
55 Good
40 Acceptable