Graph Theory Courses

Theory of Computation, Fall 2020

Explore computability and complexity theory with MIT's in-depth course. Covers automata, Turing machines, undecidability, NP-completeness, and advanced topics in computational theory.

• YouTube
• 1 day 8 hours
• Self-Paced
• Free Video

Relativistic Quantum Field Theory I

Explore quantum field theory through applications in particle and condensed matter physics, covering key concepts from classical field theories to quantum fluctuations and renormalization.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Intermediate Microeconomic Theory

Explore consumer choice, firm theory, and equilibrium models with real-world applications. Gain insights into economic science, data analysis, and policy implications through diverse topics and case studies.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Poker Theory and Analytics

Explore poker theory and analytics, applying concepts to investment management and trading. Learn analytical techniques, strategies, and decision-making skills in this broad-based course.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Theory of Computation

Explore computability and complexity theory, covering languages, decidability, reducibility, computational measures, completeness, hierarchies, oracles, probabilistic computation, and interactive proof systems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Effective Field Theory

Master the fundamental framework of Effective Field Theory (EFT) for describing physical systems with quantum field theory, from Standard Model to HQET and SCET.

• MITx Online
• 18 weeks, 10-14 hours/week
• Self-Paced
• Free Online Course

Microeconomic Theory and Public Policy

Gain a comprehensive understanding of microeconomic theory and its application to public policy, with examples from high-income countries including consumer theory, competitive analysis, and market dynamics.

• MITx Online
• 14 weeks, 10-14 hours/week
• Self-Paced
• Free Online Course

Computational Music Theory and Analysis

Explore computational approaches to music theory using Python and MIT's music21 toolkit, covering algorithms, corpus studies, machine learning, and music generation techniques.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Projection Theory

Explore how sets behave under orthogonal projections, connecting harmonic analysis, number theory, additive combinatorics, and dynamics through fundamental methods and recent developments.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Economic Applications of Game Theory

Explore the fundamental tools of game theory and their economic applications, covering Nash Equilibrium, auctions, bargaining, signaling, and strategic interaction in real-world scenarios.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Effective Field Theory

Effective field theory is a fundamental framework to describe physical systems with quantum field theory.

• MIT OpenCourseWare
• 36 hours
• Self-Paced
• Free Video

Finance Theory I

This course introduces the core theory of modern financial economics and financial management, with a focus on capital markets and investments.

• MIT OpenCourseWare
• 25 hours
• Self-Paced
• Free Video

Getting Started With Music Theory

760 ratings at Coursera

Explore pitch, rhythm, notation, scales, keys, and basic harmony. Learn to read and write music, understand major and minor keys, and harmonize melodies. Ideal for music enthusiasts seeking to enhance their theoretical knowledge.

• Coursera
• 13 hours 15 minutes
• Self-Paced
• Paid Course

Number Theory and Cryptography

609 ratings at Coursera

Explore number theory's evolution from "useless" to essential in modern cryptography. Learn modular arithmetic, Euclid's algorithm, and RSA encryption for secure digital communication.

• Coursera
• 16 hours 51 minutes
• Self-Paced
• Paid Course

Computer Science: Algorithms, Theory, and Machines

775 ratings at Coursera

Explore algorithms, theory, and machines in computer science. Learn about sorting, data structures, computational theory, and computer architecture. Gain insights into the field's history and fundamental concepts.

• Coursera
• 20 hours 4 minutes
• Self-Paced
• Paid Course