
Communications Engineering Course
Master the full spectrum of communications engineering, from signal fundamentals and modulation to wireless channel modeling and system design. This course gives you the technical depth to analyze, design, and optimize real communication systems with confidence. Whether you're entering the field or advancing your career, this is the rigorous foundation you need.
What you will learn:
You will gain a thorough understanding of how communication systems work from the ground up, covering signal theory, analog and digital modulation, sampling, quantization, and source coding. You will learn to apply channel coding techniques including convolutional, turbo, and LDPC codes to achieve reliable transmission over noisy channels. The course covers wireless propagation, fading models, diversity techniques, and MIMO systems. You will also study multiple access schemes, network protocols, and satellite communication. By the end, you will be able to produce complete link budgets and make informed design decisions for modern communication systems.
How you study in a practical way Communications Engineering Course
How you practice Communications Engineering Course
For companies who want to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Communications Engineering
Foundations of Communications Engineering
Lesson 1 • Frequency Domain Analysis
Covers Fourier series and the Fourier transform to analyze signal spectra. Connects time-domain waveforms to bandwidth and spectral efficiency concepts.
Lesson 2 • Signal Types and Representations
Distinguishes analog from digital signals and introduces time-domain representation. Provides the mathematical language needed for later modulation topics.
Lesson 3 • Noise in Communication Systems
Characterizes thermal noise, shot noise, and additive white Gaussian noise models. Establishes signal-to-noise ratio as the primary performance metric.
Lesson 4 • The Communication System Model
Introduces the block-diagram model: source, encoder, channel, decoder, sink. Establishes shared vocabulary used throughout the course.
Lesson 5 • Linear Systems and Filtering
Examines LTI system properties, convolution, and transfer functions. Prepares students to design and analyze filters used in every communication receiver.
Chapter 2HideHide detailsSee detailsAnalog Modulation Techniques
Analog Modulation Techniques
Lesson 1 • Multiplexing Analog Signals
Introduces frequency-division multiplexing for combining multiple analog channels. Connects multiplexing to spectrum allocation and channel capacity.
Lesson 2 • AM Demodulation Methods
Covers envelope detection and synchronous demodulation circuits. Evaluates each method's noise performance and implementation trade-offs.
Lesson 3 • FM Demodulation and Noise Performance
Analyzes discriminator and PLL-based FM demodulators and FM's noise improvement over AM. Demonstrates the FM threshold effect.
Lesson 4 • Amplitude Modulation Principles
Derives the AM signal equation and analyzes its spectrum and power efficiency. Connects modulation index to bandwidth and demodulation complexity.
Lesson 5 • Angle Modulation: FM and PM
Derives FM and PM signal representations and their instantaneous frequency relationships. Introduces Carson's rule for bandwidth estimation.
Chapter 3HideHide detailsSee detailsSampling, Quantization, and Source Coding
Sampling, Quantization, and Source Coding
Lesson 1 • Time-Division Multiplexing
Structures multiple PCM streams into a TDM frame and analyzes synchronization requirements. Prepares students for digital hierarchy and framing standards.
Lesson 2 • Pulse Code Modulation
Describes the PCM encoding pipeline from sampling through binary output. Connects PCM bit rate to bandwidth requirements for digital transmission.
Lesson 3 • Source Coding and Data Compression
Introduces entropy, Huffman coding, and lossless compression principles. Demonstrates how source coding reduces redundancy before channel transmission.
Lesson 4 • Sampling Theory and the Nyquist Criterion
Proves the Nyquist-Shannon sampling theorem and analyzes aliasing. Establishes the minimum sampling rate required for perfect reconstruction.
Lesson 5 • Quantization and Quantization Noise
Models uniform and non-uniform quantization and derives quantization noise power. Links bit depth to dynamic range and SQNR.
Chapter 4HideHide detailsSee detailsDigital Modulation and Demodulation
Digital Modulation and Demodulation
Lesson 1 • Orthogonal Frequency-Division Multiplexing
Derives OFDM subcarrier orthogonality, cyclic prefix, and PAPR characteristics. Positions OFDM as the foundation for modern broadband standards.
Lesson 2 • Carrier Synchronization and Timing Recovery
Addresses phase and frequency offset estimation and symbol timing recovery loops. Connects synchronization accuracy to irreducible BER floors.
Lesson 3 • Baseband Digital Signaling
Covers line codes, pulse shaping, and inter-symbol interference in baseband systems. Establishes the matched filter as the optimal receiver structure.
Lesson 4 • Binary Shift-Keying Schemes
Derives BER expressions for BPSK, BFSK, and OOK over AWGN channels. Compares power and bandwidth efficiency across binary schemes.
Lesson 5 • Higher-Order Modulation Schemes
Extends to QPSK, M-PSK, and M-QAM constellations and their BER performance. Demonstrates how higher order increases spectral efficiency at the cost of SNR.
Chapter 5HideHide detailsSee detailsChannel Coding and Error Control
Channel Coding and Error Control
Lesson 1 • Turbo and LDPC Codes
Introduces iterative decoding for turbo and low-density parity-check codes near Shannon capacity. Compares complexity and latency trade-offs for system selection.
Lesson 2 • Linear Block Codes
Constructs generator and parity-check matrices for Hamming and cyclic codes. Analyzes error detection and correction capability using Hamming distance.
Lesson 3 • Interleaving and ARQ Protocols
Combines interleaving with FEC to combat burst errors and introduces ARQ retransmission strategies. Analyzes throughput efficiency of hybrid ARQ.
Lesson 4 • Convolutional Codes
Represents convolutional encoders with trellis diagrams and applies Viterbi decoding. Evaluates free distance and coding gain for practical link design.
Lesson 5 • Information Theory Fundamentals
Derives channel capacity via the Shannon-Hartley theorem and mutual information. Establishes theoretical limits that motivate practical coding strategies.
Chapter 6HideHide detailsSee detailsWireless Channel Modeling and Propagation
Wireless Channel Modeling and Propagation
Lesson 1 • Diversity Techniques
Implements space, frequency, time, and polarization diversity to combat fading. Quantifies diversity gain and combining method performance.
Lesson 2 • Large-Scale Path Loss Models
Applies log-distance and empirical models to predict median received power. Connects shadowing margins to link budget reliability targets.
Lesson 3 • Channel Estimation and Equalization
Applies pilot-based channel estimation and adaptive equalization to mitigate ISI. Connects equalization complexity to channel coherence time.
Lesson 4 • Radio Wave Propagation Mechanisms
Explains reflection, diffraction, scattering, and free-space path loss. Provides the physical basis for all empirical and statistical channel models.
Lesson 5 • Small-Scale Fading and Multipath
Characterizes Rayleigh and Rician fading, delay spread, and coherence bandwidth. Links channel time-frequency selectivity to modulation and equalization choices.
Chapter 7HideHide detailsSee detailsMultiple Access and Network Protocols
Multiple Access and Network Protocols
Lesson 1 • Spread Spectrum Systems
Derives direct-sequence and frequency-hopping spread spectrum operation and jamming margin. Connects processing gain to interference rejection and covert communication.
Lesson 2 • Link Layer and Data Link Protocols
Covers framing, flow control, and error control at the data link layer. Connects link layer functions to reliable end-to-end data delivery.
Lesson 3 • Random Access Protocols
Analyzes ALOHA, slotted ALOHA, and CSMA protocols for throughput and delay. Provides the queuing theory foundation for MAC layer design.
Lesson 4 • Multiple Access Fundamentals
Compares FDMA, TDMA, CDMA, and OFDMA resource allocation strategies. Establishes capacity and interference trade-offs that drive system design choices.
Lesson 5 • Network Layer and Routing Concepts
Introduces IP addressing, routing algorithms, and quality-of-service mechanisms. Bridges physical layer performance to end-to-end network behavior.
Chapter 8HideHide detailsSee detailsSystem Design and Link Budget Analysis
System Design and Link Budget Analysis
Lesson 1 • Antenna Systems and RF Front End
Characterizes antenna gain, radiation patterns, polarization, and impedance matching. Connects antenna selection to link budget and interference management.
Lesson 2 • Transmitter and Receiver Architecture
Analyzes superheterodyne and direct-conversion receiver architectures and transmitter chain components. Identifies key non-idealities: phase noise, IQ imbalance, and nonlinearity.
Lesson 3 • System Performance Metrics and Testing
Defines BER, throughput, latency, availability, and spectral efficiency as system KPIs. Introduces test equipment and measurement procedures for each metric.
Lesson 4 • Link Budget Methodology
Constructs a systematic link budget accounting for transmit power, gains, losses, and margins. Demonstrates how each parameter affects the received SNR and link reliability.
Lesson 5 • End-to-End System Design Case Study
Applies the full design process to a realistic point-to-point or cellular link scenario. Synthesizes modulation, coding, antenna, and protocol choices into a coherent design.
Your valid completion certificate
This course is for you:
Electrical engineering student: building a rigorous foundation before entering the workforce.
RF or telecom technician: ready to move from hands-on work into engineering roles.
Embedded systems engineer: expanding expertise toward wireless communication system design.
Network infrastructure professional: seeking deeper physical-layer knowledge behind the protocols.
Career changer from IT: pursuing a transition into hardware-side communications engineering.
Aerospace or defense engineer: needing formal grounding in satellite and wireless link analysis.
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