Simulate a physical system
Solve the equations of a damped pendulum or an RLC circuit in MATLAB or Octave.
All pathsDiscover Coursera PlusAfter step 1 After step 2 After step 3 After step 4
Data & AI · 11Advanced
Applied AI for Science
Engineers or researchers in the experimental sciences.
Engineering mathematics in MATLAB, data analysis in Python and AI applied to scientific problems.
390hours of coursework
39weeks at 10 h
4steps
16courses
3universities
Target skills
Model EvaluationDimensionality ReductionData PreprocessingModel OptimizationGenerative AINumerical AnalysisApplied MathematicsScriptingMechanicsIntegral CalculusAlgebraDerivatives
Skill labels as listed on Coursera.
Target jobs
- R&D engineer
- Experimental science researcher
- Simulation engineer
Progression
- 1The Hong Kong University of Science and TechnologyBeginnerMATLAB
Stated prerequisites: Single variable calculus and some computer programming ability
Show the 5 courses
Course Level Length Rating (reviews) Matrix Algebra for Engineers Beginner 20 h 4.9 (4,726) Differential Equations for Engineers Beginner 27 h 4.9 (2,251) Vector Calculus for Engineers Beginner 30 h 4.8 (1,425) Numerical Methods for Engineers Intermediate 40 h 4.8 (451) Mathematics for Engineers: The Capstone Course Intermediate 10 h 5.0 (45) - 2University of Colorado BoulderIntermediatePython
Stated prerequisites: Data Wrangling with Python specialization or equivalent skills
Show the 5 courses
Course Level Length Rating (reviews) Classification Analysis Intermediate 38 h — Regression Analysis Intermediate 40 h 4.9 (10) Clustering Analysis Intermediate 37 h 4.5 (11) Association Rules Analysis Intermediate 23 h 4.8 (13) Data Analysis with Python Project Intermediate 18 h — - 3University of GlasgowIntermediatePython, NumPy, scikit-learn, Keras, TensorFlow, Matplotlib, pandas
Stated prerequisites: Applied AI for Engineers and Scientists: Foundations specialization or equivalent
Show the 3 courses
Course Level Length Rating (reviews) LLM-empowered Python Programming for AI Intermediate 14 h — Advanced Intelligent Optimization and its Applications Intermediate 14 h — Advanced Machine Learning and its Applications Intermediate 23 h — - 4University of Colorado BoulderIntermediatePython
Show the 3 courses
Course Level Length Rating (reviews) Introduction to Machine Learning: Supervised Learning Intermediate 23 h 4.5 (67) Introduction to Machine Learning: Unsupervised Learning Intermediate 15 h 4.6 (24) Introduction to Deep Learning Intermediate 18 h 4.5 (24)
With Coursera Plus
This path takes 390 hours, about 9 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Projects to build
Sensor data
Clean and analyse a sensor dataset: noise, drift, outliers.
Surrogate model
Replace an expensive simulation with a machine learning model and measure the error.
Anomaly detection
Automatically detect abnormal measurements in an experimental series.
Free textbooks
Notes on Diffy QsJiří LeblFree, CC BY-SA 4.0
Mathematics for Machine LearningM. P. Deisenroth, A. A. Faisal, C. S. OngFree PDF
An Introduction to Statistical Learning (Python)G. James, D. Witten, T. Hastie, R. Tibshirani, J. TaylorFree PDF