We offer a comprehensive Deep Learning course covering topics such as ANN, DNN, CNN, RNN, LSTM, SLM, and more. The program emphasizes hands-on sessions supported by the necessary theoretical background.
It is designed both as a standalone course and in an integrated format with 6G-related applications, giving students the flexibility to choose according to their needs.
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This course provides an in-depth study of key physical layer concepts including FFT, IFFT, CP-OFDM, DFT-s-OFDM, MIMO, STBC, SFBC, and related techniques. It further extends to detailed coverage of 3GPP specifications, including TS and TR series 36.xxx and 38.xxx, spanning Releases 15 through 20 and ongoing developments beyond.
The curriculum emphasizes implementation-driven learning with extensive hands-on sessions using MATLAB, C/C++, integrated with SDR hardware platforms such as USRP, ADALM-PLUTO, and GNU Radio. In addition, current research contributions, study items, and work items from 3GPP are systematically discussed to ensure alignment with state-of-the-art standardization activities.
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The "Concept to Silicon" course guides students from initial system design using white boarding to working prototypes in MATLAB, C, and C++.
Learners progress to fixed-point coding and optimization, mastering hardware-software co-design and verification. The curriculum covers foundational techniques for modeling, refining and validating designs then moves to RTL development and optimization.
Students also gain practical experience navigating the complete VLSI flow from RTL to GDSII, ready for fabrication. Throughout, hands-on labs and foundational theory equip students with real-world skills for modern silicon design and tape-out.
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