Full List of Courses and Workshops
Yoni Nazarathy

My teaching is delivered through two channels: academic courses at The University of Queensland and previous institutions, and industry workshops run through my consultancy, Accumulation Point. Entries below are marked accordingly.

• 2026, Accumulation Point for the Australian Institute of Marine Science (AIMS): Physics-Informed Neural Networks with Julia,
  creator and lecturer.
• 2025, S2 UQ: Programming for Mathematicians (MATH2504),
  co-creator, coordinator, and co-lecturer.
• 2026, Society of Pharmacometrics & Health Analytics (SOPHAS): Statistics for Pharmacometrics,
  lecturer.
• 2025, Society of Pharmacometrics & Health Analytics (SOPHAS) in collaboration with Pumas-AI: Certificate Course on Bioequivalence Analysis in Drug Development (brochure),
  lecturer.
• 2025, Accumulation Point for the Australian Institute of Marine Science (AIMS): A Crash Course on the Julia Language and Ecosystem,
  creator and lecturer.
• 2023, S1/S2 UQ: Inter-semester Programming Boot Camp (Python),
  Creator, coordinator, and content developer.
• 2023, S2 UQ: Programming of Simulation, Analysis, and Learning Systems (MATH2504),
  co-creator, coordinator, and co-lecturer.
• 2022, S2 UQ: Programming of Simulation, Analysis, and Learning Systems (MATH2504),
  co-creator, coordinator, and co-lecturer.
• 2021, S2 UQ: Programming of Simulation, Analysis, and Learning Systems (MATH2504),
  co-creator, coordinator, and co-lecturer.
• 2021, S2 UQ: Introduction to Data Science (DATA7001),
  co-lecturer.
• 2021, S1 UQ: Introduction to Data Science (DATA7001),
  coordinator, and co-lecturer.
• 2021, S1 UQ: Mathematics for Data Science 1 (MATH7501),
  creator, coordinator, and co-lecturer.
• 2021, AMSI Summer School: The Mathematical Engineering of Deep Learning,
  co-creator, coordinator, and co-lecturer.
• 2021, SAGI Symposium (Statistics for the Australian Grains Industry), via Zoom: Machine Learning (and Deep Learning) in just over 200 minutes with R (R material on GitHub),
  presenter, with R material created by Ajay Hemanth.
• 2020, S2 UQ: Mathematics for Data Science 2 (MATH7502),
  creator, coordinator, and lecturer.
• July 2020, Statistical Society of Australia (6 hours on two days): Workshop: introduction to Julia for statistics and data science,
  creator and lecturer.
• 2020, S1 UQ: Mathematics for Data Science 1 (MATH7501),
  creator, coordinator, and co-lecturer.
• 2020, S1 UQ: Probability Models & Stochastic Processes (STAT3004/STAT7304),
  co-creator, coordinator, and lecturer.
• 2019, S2 UQ: Mathematics for Data Science 2 (MATH7502),
  creator, coordinator, and lecturer.
• 2019, S1 UQ: Mathematics for Data Science 1 (MATH7501),
  creator, coordinator, and lecturer.
• 2018, S2 UQ: Mathematics for Data Science 2 (MATH7502),
  creator, coordinator, and lecturer.
• 2018, S1 UQ: Mathematics for Data Science 1 (MATH7501),
  creator, coordinator, and lecturer.
• 2018, S1 UQ: Analysis of Engineering and Scientific Data (STAT2201/CIVL2530),
  creator, coordinator, and co-lecturer.
• 2017, Summer Semester UQ: Mathematics & Physics Industry Project (SCIE3255),
  creator and coordinator.
• 2017, S2 UQ: Mathematics for Data Science 2 (MATH7502),
  creator, coordinator, and lecturer.
• 2017, S1 UQ: Analysis of Engineering and Scientific Data (STAT2201/CIVL2530),
  creator, coordinator, and co-lecturer.
• 2016, S2 UQ: Mathematical Control Theory - Linear Systems (MATH4406/MATH7406),
  coordinator, creator, and lecturer.
• 2016, S1 UQ: Analysis of Engineering and Scientific Data (STAT2201),
  coordinator, and co-lecturer.
• 2016, AMSI Summer School (at RMIT, Melbourne): Linear Control Theory & Structured Markov Chains
  co-creator, coordinator, and lecturer.
• 2014, S2 UQ: Mathematical Control Theory - Markov Decision Processes (MATH4406/MATH7406),
  coordinator, creator, and lecturer.
• 2013, S1 UQ: Advanced Stochastic Processes II - Diffusion Processes and Stochastic Process Limits (STAT4403),
  creator, and co-lecturer.
• 2013, AMSI Summer School (at The University of Melbourne): Structured Markov models and control theory. A unified approach via linear algebra
  co-creator, coordinator, and co-lecturer.
• 2012, S2 UQ: Mathematical Control Theory (MATH4406/MATH7406),
  coordinator, creator, and co-lecturer.
• 2012, S2 UQ: Analysis of Scientific Data (STAT1201),
  co-lecturer.
• 2011, S2 Swinburne: Stochastic Modelling for Engineers,
  coordinator, creator, and lecturer.
• 2011, S1 Swinburne: Probability and Statistics for Final Year Engineering Students,
  coordinator, creator, and lecturer.
• 2011, S1 Swinburne: Engineering Mathematics: Probability and Statistics for Civil Engineering,
  co-lecturer.
• 2010, TU/e, The Netherlands: Basic Mathematics (Calculus),
  tutor.
• 2010, TU/e, The Netherlands: Case Study: Assembly Line for Lawn-Mowers,
  tutor.
• 2009, The University of Haifa: Interactive Demonstrations of Stochastic and Statistical Models,
  coordinator, creator, and lecturer.
• 2009, The University of Haifa: Elements of Operations Research and Forecasting ,
  tutor.
• 2008, The University of Haifa: Stochastic Processes and Their Applications to Models of Reliability, Inventory and Queueing ,
  coordinator, creator, and lecturer.
• 2008, The University of Haifa: Introduction to Stochastic Processes ,
  coordinator, creator, and lecturer.
• 2007, The University of Haifa: Introduction to Stochastic Processes,
  coordinator, and co-lecturer.
• 2007, The University of Haifa: Statistical Models B (Experimental Design),
  coordinator, and co-lecturer.
• 2006, The University of Haifa: Introduction to Stochastic Processes,
  coordinator, and co-lecturer.
• 1999-2002, The University of Haifa and Minhal College, Haifa: Tutoring in multiple courses including:
• Java programming
• SAS programming
• Unix for users
• C programming
• Statistics for MBA
• Probability for Computer Science
• Scheduling and Control
• Mathematical Tools for Statistics
• Introduction to Stochastic Processes