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Communications Engineering Course
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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.

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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.

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

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 2See details

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 3See details

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 4See details

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 5See details

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 6See details

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 7See details

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 8See details

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.

Certification

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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