Advanced Online Courses - Free MOOC Catalog

Coursera

Stanford University,The University of British Columbia

Game Theory II: Advanced Applications (Coursera)

Robotics & Computer Vision

Dive into the complex world of strategic interactions with Game Theory II: Advanced Applications. This course takes you beyond the basics, exploring sophisticated concepts like social choice theory, mechanism design, and auctions. Over four weeks, you'll gain a deep understanding of how to design effective strategies for collective decision-making and optimize outcomes in competitive environments.

Oct 5th 2026

5-12 Weeks

Game Economics Social Sciences

EdX

École Polytechnique Fédérale de Lausanne,EPFLx

Teaching Science and Engineering (edX)

Education Teacher Professional Development

Unlock the secrets of effective teaching in scientific and engineering fields with our exclusive MOOC tailored for doctoral teaching assistants. This course will equip you with essential teaching techniques, backed by educational theory, to deliver engaging and impactful lectures at university level. Learn why certain approaches work and how to apply them effectively.

Oct 5th 2026

5-12 Weeks

Education Teaching Teaching Science

Coursera

Stanford University

Social and Economic Networks: Models and Analysis (Coursera)

Economics & Finance Social Sciences

Dive into the fascinating realm of Social and Economic Networks with our expert-led course. Uncover the secrets behind how networks form, their patterns, and the profound impact they have on behaviors such as diffusion and learning. This course blends economics, sociology, math, physics, statistics, and computer science to provide a holistic understanding.

Sep 28th 2026

5-12 Weeks

Social Networks Economics

Coursera

Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Sep 28th 2026

5-12 Weeks

MATLAB Octave Machine Learning

Coursera

Princeton University

Analysis of Algorithms (Coursera)

CS: Theory

Dive into the world of algorithmic analysis with our 'Analysis of Algorithms' course. Gain a deep understanding of generating functions, real asymptotics, and the symbolic method to make precise quantitative predictions about large combinatorial structures. Perfect for those interested in computer science, mathematics, and data science.

Sep 28th 2026

5-12 Weeks

Math Calculus Analysis

Coursera

Rice University

Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications (Coursera)

Sci: Physical & Earth Sciences Sci: Environment

This online course delves into the innovative approaches for cleaning up contaminated groundwater sites. Explore new paradigms in natural attenuation processes and learn about emerging technologies designed to make remediation more effective and cost-efficient. Gain insights into how these advancements are being applied in real-world scenarios to tackle one of the most significant environmental issues facing our planet.

Sep 28th 2026

5-12 Weeks

Sustainability Environment Technologies

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Advanced Linear Models for Data Science with Class 2: Statistical Linear Models. This course is designed to provide a deep understanding of least squares from both linear algebraic and mathematical perspectives. Suitable for those with a basic grasp of linear algebra, multivariate calculus, statistics, regression models, proof-based mathematics, and R programming.

Sep 28th 2026

4 Weeks

Algebra Linear Algebra Data Science

Coursera

EIT Digital

System Validation (3): Requirements by modal formulas (Coursera)

CS: Software Engineering

Dive into the world of System Validation with our advanced course, focusing on requirements by modal formulas. This course is designed for those looking to ensure their systems operate correctly, using techniques that not only validate functionality but also simplify behavior and enhance maintainability. Perfect for professionals in software engineering, computer science, and embedded systems.

Sep 28th 2026

2 Weeks

System Validation System Communication Modal Formulas

Coursera

Stanford University

Probabilistic Graphical Models 3: Learning (Coursera)

Statistics & Data Analysis Data Science

Explore advanced concepts in Probabilistic Graphical Models (PGMs) with 'Probabilistic Graphical Models 3: Learning'. This course delves deep into learning techniques for complex domains, enabling you to encode sophisticated joint distributions over numerous interacting variables. Gain insights into state-of-the-art methods and apply them across various fields such as healthcare, image processing, speech recognition, and natural language processing.

Sep 28th 2026

5-12 Weeks

Algorithms Machine Learning PGM