Courses on 1D Signal Analysis

This page gives a summary of 70+ courses related to various aspects of one dimensional pattern recognition from more than 70 universities worldwide. The courses are listed under different topic areas below. As well as this course list, we have also:

Collated histograms of the number hours per topic in the courses.
Proposed example syllabi for introductory and advanced courses of 10, 20 and 40 hours.

Details of the content

Representations
1. Hidden Markov Models
  1. University of British Columbia: Statistical Computing - Monte Carlo Methods (Arnaud Doucet)
  2. University of California, Berkeley: Practical Machine Learning (Michael Jordan)
  3. University of California, Irvine: Machine Learning (Max Welling)
  4. University College London : Unsupervised Learning (Zoubin Ghahramani)
  5. Massachusetts Institute of Technology : Machine Learning (Tommi Jaakkola)
  6. New York University : Machine Learning and Pattern Recognition (Yann LeCun)
  7. Oregon Health & Sciences University : Hidden Markov Models for Speech Recognition (John-Paul Hosom)
  8. Royal Institute of Technology, Sweden: Hidden Markov models in bioinformatics (Lukas Kall, Hakan Viklund)
2. Finite State Automata
  1. University of Arizona: Automata, Grammars and Languages (Peter J. Downey)
  2. University of Bath: Computation II: Computability and Decidability (Alessio Guglielmi)
  3. University of California, Berkeley : Practical Machine Learning (Michael Jordan)
  4. University of California, Irvine: Formal Languages and Automata Theory (David Eppstein)
  5. Carnegie Mellon University : Formal Languages, Automata, and Computation (Lenore Blum, Ryan Williams)
  6. University of Edinburgh : Logic and Automata (Leonid Libkin)
  7. Georgia State University: Automata (Sushil Prasad)
  8. Grinnell College: Automata, formal languages, and computational complexity (John David Stone)
  9. Imperial College London, UK: Advanced Topics in Automata (David Harel, Nir Piterman)
  10. Knox College: Automata theory and programming languages (David Bunde)
  11. Linkoping University , Sweden: Formal Languages and Automata Theory (Wodzimierz Drabent)
  12. Massachusetts Institute of Technology: Automata, Computability, and Complexity (Nancy Lynch)
  13. University of Minnesota : Computability and Complexity (Doug Dunham)
  14. University of Nevada Las Vegas : Automata and Formal Languages (Lawrence L. Larmore)
  15. Ohio State University: Introduction to Automata and Formal Languages (Eitan M. Gurari)
  16. University of Pennsylvania : Theory of Computation (Rajeev Alur)
  17. Princeton University: Theory of Computation (Sanjeev Arora)
  18. Rice University : Automata-Theoretic Approach to Automated Verification (Amir Pnueli, Moshe Y. Vardi)
  19. Royal Institute of Technology, Sweden: Automata Theory (Dilian Gurov)
  20. Stanford University: Introduction to Automata and Complexity Theory (Jeffrey D. Ullman)
  21. The University of Texas at Dallas: Automata Theory (Ding-Zhu Du)
  22. College of William & Mary : Finite Automata (Weizhen Mao)
3. Grammars
  1. University of Alberta, Canada : Formal Languages, Automata, and Computability (Lorna Stewart)
  2. The Chinese University of Hong Kong : Formal languages and Automata Theory (Andrej Bogdanov)
  3. Columbia University : Computability (Zeph Grunschlag)
  4. University of Cambridge : Regular Languages and Finite Automata (Andrew Pitts)
  5. Florida Institute of Technology : Formal Languages and Automata Theory (Debasis Mitra)
  6. Kansas State University: Introduction to Formal Language Theory (Alley Stoughton)
  7. University of Maryland, Baltimore County : Automata Theory & Formal Languages (Richard Chang)
  8. Old Dominion University: Introduction to Theoretical Computer Science (Shunichi Toida)
  9. Simon Fraser University, Canada: Introduction to Formal Languages and Automata (Anoop Sarkar)
  10. Wellesley College: Languages and Automata (Lyn Turbak)
Methods
1. Parsing
  1. University of Utah : Compiler Principles and Techniques (Erin Parker)
  2. University of Waterloo, Canada: Formal Languages and Parsing (Jeffrey Shallit)
2. String Matching/Searching
  1. University of Otago, Artificial Intelligence (Lectures 3 to 5), (Alistair Knott)
  2. Brown University, Introduction to Artificial Intelligence (Lectures 2 &3), (Meinolf Sellmann)
  3. University of Paderborn, Search Algorithms, (Christian Schindelhauer)
  4. Stony Brook University, Analysis of Algorithms (Lectures 7-10) (Steven Skiena)
  5. Helsinki University of Technology, Search Problems and Algorithms (Ilkka Niemela & Pekka Orponen)
3. Unification
  1. Johannes Kepler University in Linz, Austria: Introduction to Unification Theory (Temur Kutsia)
Core Techniques
1. FFT
  1. University of California, Davis : Fourier Analysis and Its Applications (Naoki Saito)
  2. University of Illinois at Urbana-Champaign : Digital Signal Processing (Zhi-Pei Liang, Douglas Jones)
  3. Massachusetts Institute of Technology: Fourier Analysis - Theory and Applications (Richard Melrose)
  4. Stanford University : The Fourier Transform and its Applications (John Gill)
  5. Utah State University : Signals and Systems (Todd K. Moon)
  6. University of Wisconsin-Madison : Signals and Systems (Van Veen)
2. Cepstral Analysis
  1. University of California, Berkeley: Audio Signal Processing in Humans and Machines (Nelson Morgan)
  2. San Jose State University : Computers and Spoken Language (Hahn Koo)
3. Wavelets
  1. George Mason University : Wavelet Theory (David Walnut)
  2. Massachusetts Institute of Technology: Wavelets, Filter Banks and Applications (Kevin Amaratunga, Gilbert Strang)
  3. University of Illinois at Urbana-Champaign : Wavelets in Signal Processing (Minh N. Do)
Applications
1. Speech Understanding
  1. The University of Birmingham: Spoken Language Processing (Peter Jancovic)
  2. The University of Birmingham: Speech & Audio Technology (Peter Jancovic)
  3. Boston College: Computational Molecular Biology (Peter Clote)
  4. Carnegie Mellon University: Speech Recognition and Understanding (Florian Metze)
  5. Cornell University: Statistical Natural Language Processing: Models and Methods (Lillian Lee)
  6. The Hong Kong Polytechnic University: Speech Processing and Recognition (Man-Wai Mak)
  7. Macquarie University, Australia: Speech Recognition (Steve Cassidy)
  8. Purdue University: Speech Processing by Computer (Leah H. Jamieson)
  9. Simon Fraser University, Canada: Natural Language Processing (Anoop Sarkar)
  10. University of Texas at Dallas : Statistical Natural Language Processing (Vasileios Hatzivassiloglou)
  11. University of Toronto, Canada: Natural Language Computing (Gerald Penn)
2. DNA/Protein/Amino Acid Sequence Matching
  1. Technical University of Denmark: Advanced Bioinformatics (Henrik Nielsen)
  2. Indiana University: Bioinformatics in Molecular Biology and Genetics: Practical Applications (Haixu Tang)
  3. Iowa State University: Introduction to Bioinformatics (David Fernández-Baca, Drena Dobbs)
  4. University of Maryland: Principles of Computational Biology (Steven Salzberg)
  5. Rensselaer Polytechnic Institute: Bioinformatics: Algorithms and Systems (Mohammed J. Zaki)
  6. Tel Aviv University, Israel: Information on some bioinformatics courses (Ron Shamir)
  7. Temple University: Bioinformatics (Slobodan Vucetic)
3. Biomedical Signal Processing
  1. University of Florida: Biomedical signal processing (Jianbo Gao)
  2. Lund University: Biomedical Signal Processing (Leif Sornmo)
  3. University of Southampton: Biomedical App. of Signal Processing (David Simpson)
  4. MIT: Biomedical Signal & Image Precessing (Gari Clifford)

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