Online Training

Our technical education programs are tailored specifically for remote access and individual learning. Programs are also based on traditional 10-week university courses. Sign-up to have access to downloadable versions of the basic training material below.

 

For individual courses students can book Zoom calls with the instructor, while the Zoom meetings for the institutional format will be held weekly over a ten-week period. For more details, check out our training programs, or schedule a Zoom meeting.

Commercial Building at Night

Fundamentals of Wireless Networks

  • The OSI model, data link layer, network layer, transport layerTCP:

    • A congestion protocol, TCP/IP, Automatic Repeat Requests

  • Basic of wireless communications: modulation, the channel, link budget

  • Transmission effects, fading, shadowing, path loss, channel capacity

  • Medium access methods, CDMA, medium access control (MAC) layer

  • Random access, ALOHA, CSMA, CSMA/CD, Ethernet 802.3

  • Queuing theory, the M/M/1 queue, M/M/m and M/M/infty queues

  • M/G/1 queues and their analysis with random walk theory

  • Networks of queues, Burke's Theorem, Jackson's Theorem

  • Multipacket reception (MPR) and spread ALOHA, K-user systems

  • MPR protocols with Poisson arrivals

  • Routing in networks, Bellman-Ford, AODV

  • Basics of network information theory, connectivity of networks

  • Network coding theory, BATS coding, delay-tolerant networks (DPN)

  • Examples and applications

Image by Daniel Josef

Probability and Random Processes

     Items below are downloadable when you sign-up.

  • Axiomatic probability theory, basics, axioms and theorems.

  • Distributions, binomial, Poisson, exponential, waiting times.

  • Limit theorem, Gaussian distribution, 

  • The weak & strong laws of large numbers.

  • Concepts of convergence, the Marchenko-Pastur law.

  • Transformations of random variables, convolution.

  • Random processes, definition, statistical description.

  • Stationarity, ergodicity, filtering of random processes.  

  • Example: fading channels.

  • Estimation theory, classical estimation, Cramer-Rao Lower Bound.

  • Examples, radar system, timing synchronization.

  • Bayesian estimation, maximum likelihood estimation, MMSE.

  • Linear estimation, orthogonality principle, example: linear prediction.

  • Wiener filtering.

      Items below are accessible and downloadable in advanced training.

  • Sequential linear minimum mean-square filtering.

  • Kalman filtering principles and examples.

  • The extended Kalman filter.

  • The unscented Kalman filter.

  • Neural networks and principles of Deep Learning.

  • Back-propagation.

  • Example application: Image Recognition.

  • Recurrent neural networks.

  • Example application: Nonlinear Equalization.

Image by Łukasz Nieścioruk

Waveform Communications

 

     Items below are downloadable when you sign-up.

  • Linear system, fourier series, convolution, LTI channels & equalizers.

  • AM modulation, double/single side band, DSB/SSB, bandwidth & power.

  • Sampling theorem, aliasing, signal reconstruction, the link budget.

  • The bit, information theory, digital signal representation, matched filter.

  • Error probabilities, signal constellations, discrete modulation, channels.

  • Convolutional codes and trellis-coded modulation concepts.

  • Nyquist and ISI-free signaling, complex signals, wireless modulations.

  • Bandwidth, duration, spectral efficiency and channel capacity.

  • Frequency-Shift Keying & OFDM, fast fourier transform (FFT) modulation.

     

     Items below are accessible and downloadable in advanced training.

  • Time-varying and dispersive channels, equalization of OFDM signals. 

  • Error control coding in communications, methods and complexity.

  • Key FEC methods: turbo coding, LDPC codes and iterative decoding.

  • Error correcting coding principles,  BCH and Reed-Solomon codes.

  • The 802.3an modem, a modern complex communications system.

  • Multiple-antenna (MIMO) communications and massive MIMO for 5G.

  • Spread-spectrum communications for LPI/LPD system and CDMA.

  • Fountain coding, network coding, and BATs coding for networks.

  • Iterative signal receivers, turbo equalization, spatial coupling & capacity.