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EE4546: COMMUNICATIONS ENGINEERING 2 (2024-2025)

Last modified: 20 Jun 2025 15:06


Course Overview

COURSE AIMS
· To introduce the fundamental concepts of analogue and digital communication.
· To demonstrate the need and working principles of analogue and digital communication systems and their application in various fields; and to show their relevance and importance across many branches of engineering.
· To describe communication systems applications in industry and society though the mechanism of analysis, design, and optimization of analogue and digital communication systems.

Course Details

Study Type Undergraduate Level 4
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr K Nakkeeran

Qualification Prerequisites

  • One of Programme Level 3 or Programme Level 4 or Programme Level 5

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)
  • One of EE3576 Communications Engineering 1 (Passed) or EG3567 Communications Engineering 1a (Passed) or EG3576 Communications Engineering 1 (Passed)
  • One of Computing Science (CS) (Studied) or Bachelor of Engineering in Eng (Electrical and Electronic) or () or Master of Engineering in Electrical & Electronic Engineering or Master Of Engineering In Electronic & Software Engineering or Bachelor Of Engineering In Engineering Electronic & Software or Master Of Engineering In Elec & Electronic Eng W Renewabl En or Meng Electrical And Electronic Engineering With Robotics

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course covers the fundamental principles underlying the analysis, design, and optimization of analogue and digital communication systems. Design examples will be taken from the most prevalent communication systems today: cell phones, Wi-Fi, radio and TV broadcasting, satellites, and computer networks. Analysis techniques based on Fourier transforms and energy/power spectral density will be developed. Mathematical models for random variables and random (noise) signals will be presented and will be used to characterize filtering and modulation of random noise. These techniques will then be used to design analogue (AM and FM) and digital (PSK and FSK) communication systems and to determine their performance over channels with noise and interference.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2025 for 1st Term courses and 19 December 2025 for 2nd Term courses.

Summative Assessments

In Class Exercise: Ethernet decode packets

Assessment Type Summative Weighting 20
Assessment Weeks Feedback Weeks

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Feedback

Students can receive feedback on their progress with the Course on request at the tutorial/feedback sessions and at the design lab sessions.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Exam

Assessment Type Summative Weighting 80
Assessment Weeks Feedback Weeks

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Feedback

Students requesting individual feedback on their exam performance should  make an appointment within 3 weeks of the publication of the exam results.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Exam

Assessment Type Summative Weighting 90
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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