Julia in the classroom

Julia is ready for the classroom. We encourage instructors to participate in the Julia community resources for questions about Julia or specific packages. This page puts together various resources that instructors may find useful. Tutorials and other learning materials are in the learning section of the website.

MOOCs teaching Julia

Coursera, University of Cape Town
- Julia Scientific Programming online course, (Dr. Juan H Klopper, Dr. Henri Laurie) a
edX MITx
- 15.053x, Optimization Methods in Business Analytics MOOC (massive online open course), (Prof. James Orlin)

Classes using Julia for teaching

Julia is now being used in several universities and online courses. If you know of other classes using Julia for teaching, please submit a pull request to update this list.

Federal University of Alagoas (Universidade Federal de Alagoas, UFAL)
- COMP272, Distributed Systems (Prof. André Lage-Freitas): 2015, 2016, and 2017
SGH Warsaw School of Economics, Poland
- 223490-0286, Statistical Learning Methods (Bogumił Kamiński): Fall 2017
- 234900-0286, Agent-Based Modeling (Bogumił Kamiński): Fall 2017
Federal Rural University of Rio de Janeiro (UFRRJ)
- TM429, Introduction to Recommender Systems (Prof. Filipe Braida), Fall 2016, Spring 2017
Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
- Programming in Julia (Prof. Thuener Silva), Summer 2017
- Linear Optimization (Prof. Alexandre Street), Spring 2017
- Decision and Risk Analysis (Prof. Davi Valladão), Fall 2015
University of California, Los Angeles (UCLA)
- Stat M230/Biomath 280/Biostat M280, Statistical Computing, Spring 2017 (Prof. Hua Zhou)
University of Antwerp, Faculty of Pharmaceutical, Biomedical, Veterinary Sciences, October 2016
- Computational Neuroscience (2070FBDBMW), Master of Biomedical Sciences, of Biochemistry, of Physics (Michele Giugliano)
University of Glasgow, School of Mathematics and Statistics, September 2017
- An Introduction to Julia, course of Online Master of Science (MSc) in Data Analytics (Theodore Papamarkou)
Southcentral Kentucky Community and Technical College, Online, Fall 2017
- CIT 120 Computational Thinking (Inst. Bryan Knowles)
Massachusetts Institute of Technology (MIT)
- 6.251/15.081, Introduction to Mathematical Programming (Prof. Dimitris J. Bertsimas), Fall 2015
- 18.06, Linear Algebra: Fall 2015, Dr. Alex Townsend; Fall 2014, Prof. Alexander Postnikov; Fall 2013, Prof. Alan Edelman
- 18.303, Linear Partial Differential Equations: Analysis and Numerics (Prof. Steven G. Johnson), Fall 2013–2016.
- 18.337/6.338, Numerical Computing with Julia (Prof. Alan Edelman). Fall 2015 (IJulia notebooks). Fall 2013–
- 18.085/0851, Computational Science And Engineering I (Prof. Pedro J. Sáenz)
- 18.330, Introduction to Numerical Analysis (Dr. Homer Reid), Spring 2013–2015
- 18.335, Introduction to Numerical Methods (Prof. Steven G. Johnson), Fall 2013, Spring 2015
- 18.338, Eigenvalues Of Random Matrices (Prof. Alan Edelman), Spring 2015
- 18.S096, Performance Computing in a High Level Language (Steven G. Johnson, Alan Edelman, David Sanders, Jeff Bezanson), January 2017.
- 15.093/6.255, Optimization Methods (Prof. Dimitris Bertsimas and Dr. Phebe Vayanos), Fall 2014
- 15.S60, Software Tools for Operations Research (Iain Dunning), Spring 2014
- 15.083, Integer Programming and Combinatorial Optimization (Prof. Juan Pablo Vielma), Spring 2014
University of South Florida, Fall 2015
- ESI 6491, Linear Programming and Network Optimization (Prof. Changhyun Kwon)
IIT Indore, June 24 - July 5, 2016
- ApplNLA, Modern Applications of Numerical Linear Algebra (Prof. Ivan Slapnicar)
Université de Liège, Fall 2016
- MATH0462, Discrete Optimization (Prof. Quentin Louveaux)
- MATH0461, Introduction to Numerical Optimization (Prof. Quentin Louveaux)
École Polytechnique Fédérale de Lausanne, Spring 2017 [CIVIL 557] Decision-aid methodologies in transportation (Mor Kaspi, Virginie Lurkin)
Northeastern University, Fall 2016
- MTH3300: Applied Probability & Statistics
University of Sydney, Fall 2016
- MATH3076/3976, Mathematical Computing (Assoc. Prof. Sheehan Olver)
University of Cologne, Institute for Theoretical Physics, Summer 2016
- Computational Physics, (Prof. Simon Trebst)
Óbuda University, John von Neumann Faculty of Informatics, Institute of Applied Mathematics
- [Intelligent Development Tools (Hungarian)]
- [Intelligent Development Tools (English)]
- [Fundamental Mathematical Methods (English)]
Budapest University of Technology and Economics
- [Applications of Differential Equations and Vector Analysis for Engineers II.] (Brigitta Szilágyi)
Luiss University Rome, Department of Economics and Finance
- Econometric Theory (Giuseppe Ragusa)
Einaudi Institute for Economics and Finance, Rome
- Econometrics of DSGE Models (Giuseppe Ragusa)
Sciences Po Paris, Department of Economics, Spring 2016.
- Computational Economics for PhDs (Florian Oswald)
Federal University of Uberlândia, Institute of Physics, Fall 2016
- GFM050, Física Computacional (Prof. Gerson J. Ferreira)
“Sapienza” University of Rome, Italy, Spring 2016
- Optimization for Complex Systems (Giampaolo Liuzzi)
Purdue University, Spring 2016
- CS51400, Numerical Analysis (Prof. David Gleich)
University of Edinburgh
- Spring 2017, MATH11146, Modern optimization methods for big data problems (Prof. Peter Richtarik)
- Spring 2016, MATH11146, Modern optimization methods for big data problems (Prof. Peter Richtarik)
University of South Florida, Spring 2016
- EIN 6945, Nonlinear Optimization and Game Theory (Prof. Changhyun Kwon)
Universidad Nacional Pedro Ruiz Gallo, Lambayeque, Perú, Spring 2015
- Julia: el lenguaje del futuro, Semana de Integración de Ingeniería Electrónica, (Oscar William Neciosup Vera)
Université de Liège, Fall 2015
- MATH0462, Discrete Optimization (Prof. Quentin Louveaux)
Université Paul Sabatier, Toulouse, Fall 2015
- Optimization in Machine Learning, (Prof. Peter Richtarik)
Stanford, Fall 2015
- CME 257, Advanced Topics in Scientific Computing with Julia (Mr. Brad Nelson)
- EE103, Introduction to Matrix Methods (Prof. Stephen Boyd)
Pennsylvania State University, Fall 2015
- ASTRO 585, High-Performance Scientific Computing for Astrophysics (Prof. Eric B. Ford) - github repo
“Sapienza” University of Rome, Italy, Spring 2015
- Operations Research (Giampaolo Liuzzi)
AGH University of Science and Technology, Poland, Spring 2015
- Signal processing in medical diagnostic systems (Tomasz Pieciak)
Universidad Nacional Autónoma de México, Spring 2015
- Métodos numéricos avanzados (Prof. David P. Sanders and Prof. Luis Benet)
- Métodos computacionales para la física estadística (Prof. David P. Sanders)
Arizona State University, Fall 2014
- MAT 423, Numerical Analysis (Prof. Clemens Heitzinger)
Azad University, Science and Research Branch, Fall 2014
- CE 3820, Modeling and Evaluation (Dr. Arman Shokrollahi)
Brown University, Fall 2014
- CSCI 1810, Computational Molecular Biology (Prof. Benjamin J. Raphael)
Emory University, Spring 2015
- MATH 346, Introduction to Optimization Theory (Prof. Lars Ruthotto)
- MATH 516, Numerical Analysis II (Prof. Lars Ruthotto)
Iowa State University, Fall 2014
- STAT 590F, Topics in Statistical Computing: Julia Seminar (Prof. Heike Hofmann)
Stanford University, Fall 2014
- AA228/CS238, Decision Making under Uncertainty (Prof. Mykel J. Kochenderfer)
- EE103, Introduction to Matrix Methods (Prof. Stephen Boyd)
Universidad Nacional Autónoma de México, Fall 2014
- Física computacional (Prof. David P. Sanders)
- Métodos numéricos para sistemas dinámicos (Prof. Luis Benet)
University at Buffalo, Fall 2014
- IE 572 Linear Programming (Prof. Changhyun Kwon)
City University of New York, Spring 2014
- MTH 229, Calculus Computer Laboratory (Prof. John Verzani). Also see the MTH 229 Projects page.
Cornell University, Spring 2014
- CS 5220, Applications of Parallel Computers (Prof. David Bindel)
Pennsylvania State University, Spring 2014
- ASTRO 585, High-Performance Scientific Computing for Astrophysics (Prof. Eric B. Ford) - github repo
Stanford University, Spring 2014
- AA222, Introduction to Multidisciplinary Design Optimization (Prof. Mykel J. Kochenderfer)
Western University Canada, Fall 2013
- CS 2101A, Foundations of Programming for High Performance Computing. (Prof. Marc Moreno Maza)

Installing Julia

Julia binaries are available for Mac, Windows, and Ubuntu Linux. It is also easy to build from source on Linux, Mac, and Windows.

The Julia and IPython teams have collaborated to develop IJulia, which provides a powerful graphical notebook interface to Julia.

Packages

The Julia community has put together a number of packages spanning multiple disciplines.

The Julia manual

The Julia manual contains a complete introduction to the Julia language. It is available in Chinese, while Spanish and Portuguese translations are in the works.

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