Online Training

Our technical education programs are tailored specifically for remote access and individual learning. Programs are based on traditional 10-week university courses. Students will have access to slide decks that navigate through the material, as well as manuscripts with detailed information. Sign-up to have access to downloadable versions of the basic training material below.

In both the individually-based as well as the for-credit institutional forms, students and instructors will hold regular 90 min review and Q&A sessions on Zoom. For individual-based courses the students will book their own Zoom calls with the instructor, while the Zoom meetings for the institutional format will be held weekly over a ten-week period. 

Assignments, grading, and final exams are offered in the institutional format. Certificates of completion are issued for the individual-based format. The technical material can be individually compiled from the topics list of any of the study areas, with one topic per week for a total of 10 topics for a full course. For more details, 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

Stock Market Graph

Probability and Random Processes

  • Axiomatic probability theory, basics, axioms and theorems.

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

  • Limit theorem, Gaussian distribution, weak & strong law 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, MVE, Cramer-Rao Lower Bound.

  • Examples, radar system, timing synchronization.

  • Bayesian estimation, maximum likelihood estimation, MMSE.

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

  • Wiener filtering, sequential linear minimum mean-square filtering.

  • Kalman filtering, the extended Kalman filter, unscented Kalman filter.

  • Neural networks and principles of deep learning, use in nonlinear filtering.

Image by Peter Stumpf

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.

Contact Us

  • LinkedIn
  • Twitter
  • Vimeo