CS: Theory

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Computational Neuroscience (Coursera) Coursera
University of Washington

Computational Neuroscience (Coursera)

Dive into the fascinating world of Computational Neuroscience with our introductory course designed for those curious about how the brain works at a computational level. Learn about representation in spiking neurons, neural network processing, and adaptive algorithms that underpin various aspects of vision, sensory-motor control, learning, and memory.

Nov 9th 2026
5-12 Weeks
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera) Coursera
Peking University

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera)

Welcome to 'Bioinformatics: Introduction and Methods', a Coursera course offered by Peking University. This MOOC is designed to introduce you to the interdisciplinary field of bioinformatics, where biology meets computer science. You'll explore key concepts and learn practical computational methods that are crucial for analyzing biological data. Whether you're a student, researcher, or simply curious about how technology can be applied in biology, this course will equip you with valuable knowledge and skills.

Nov 9th 2026
13-24 Weeks
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

Dive deep into the world of advanced algorithms and data structures with 'Algorithms, Part II' on Coursera. This course is designed for serious programmers who want to understand complex applications and improve their scientific performance analysis skills, particularly through Java implementations. From graph processing to string algorithms, this course will equip you with essential knowledge to tackle sophisticated programming challenges.

Nov 9th 2026
5-12 Weeks
Game Theory II: Advanced Applications (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory II: Advanced Applications (Coursera)

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.

Nov 9th 2026
5-12 Weeks
离散数学概论 Discrete Mathematics Generality (Coursera) Coursera
Peking University

离散数学概论 Discrete Mathematics Generality (Coursera)

本课程为非计算机软件专业本科生及相关IT行业从业者设计,旨在提供一个全面而深入的离散数学概论。通过学习,本门课程将帮助您掌握计算机科学和信息技术领域的基本概念与思想方法,从基础到高级都有系统的讲解。

Nov 9th 2026
5-12 Weeks
Problem Solving Using Computational Thinking (Coursera) Coursera
University of Michigan

Problem Solving Using Computational Thinking (Coursera)

Dive into 'Problem Solving Using Computational Thinking' on Coursera and unlock the secrets to tackling complex problems with ease. This course teaches you how to think like a computer, breaking down issues into manageable parts and developing solutions that are both logical and effective. Ideal for beginners eager to grasp the fundamentals of programming and computational logic.

Nov 9th 2026
5-12 Weeks
Analytic Combinatorics (Coursera) Coursera
Princeton University

Analytic Combinatorics (Coursera)

Dive into the world of Analytic Combinatorics with this comprehensive online course. Master the symbolic method to understand functional relations among ordinary, exponential, and multivariate generating functions. Explore techniques in complex analysis to derive precise asymptotic results. This free course is ideal for those interested in combinatorial structures and their quantitative analysis.

Nov 2nd 2026
5-12 Weeks
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