Study of signal transmission, modulation, and data encoding in modern networks.
About this course
Digital Communication Theory provides the foundational knowledge of how data moves across modern networks. You will explore the physics and mathematics behind signal transmission, learning how information is converted into signals, modulated for travel, and encoded for efficiency. This course bridges the gap between physical hardware and the data protocols that run the internet.
We cover the essentials of signal types, modulation schemes, and encoding methods. You will also look at how signals degrade over distance and how technology corrects those errors to keep your data intact. By the end of the term, you will understand the technical layers that make high-speed connectivity possible.
Who takes this course
Credits: 3 · Hours: 45
Prerequisites
None
Learning outcomes
- Explain the principles of analog and digital signal transmission.
- Describe common modulation techniques used in network communications.
- Analyze methods for encoding data for efficient network transfer.
- Evaluate signal integrity issues in wired and wireless environments.
- Apply basic mathematical models to calculate bandwidth and data rates.
- Demonstrate understanding of error detection and correction basics.
Evaluation
| Component | Weight (%) |
| Midterm Examination | 30 |
| Lab Reports | 25 |
| Final Examination | 45 |