离散数学课程
离散数学课程可以帮助您学习逻辑、集合论、组合学和图论。您可以培养解决问题、算法设计和数学推理方面的技能，这些技能在计算机科学和密码学中非常有价值。许多课程都会介绍 MATLAB 或 Python 等工具，用于实现算法和数学概念的 Visualization，让您了解这些技能如何应用于数据分析和网络设计等领域。
热门离散数学课程和证书
状态：免费试用University of California San Diego
您将获得的技能: Algorithm, Python 程序设计, 图论, 贝叶斯统计, 组合学, 概率分布, 网络分析, 演绎推理, 公钥加密标准（PKCS）, 理论计算机科学, Encryption, 数据结构, 密码协议, 计算逻辑, 算术, 关键管理, 概率, 计算思维, 密码学, 逻辑推理
状态：预览Shanghai Jiao Tong University
您将获得的技能: Algorithm, 图论, 组合学, 网络分析, 理论计算机科学, 数据结构, 计算思维, 数学理论与分析, 计算机科学, 高等数学
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Theoretical Computer Science, Programming Principles, Cryptography, Algorithms, Applied Mathematics, Probability & Statistics, Data Management
状态：预览Stanford University
您将获得的技能: 数学与数学建模, 微积分, 演绎推理, 数学理论与分析, 逻辑推理
状态：预览Peking University
您将获得的技能: Theoretical Computer Science, Computational Logic, Graph Theory, Spatial Data Analysis, Geospatial Information and Technology, Logical Reasoning, Computational Thinking, Deductive Reasoning, Algebra, Computer Science, Algorithms
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: 机器学习, Python 程序设计, 回归分析, Algorithm, 数据操作, 线性代数, 机器学习算法, 统计分析, 统计, 微积分, 数据科学, 人工神经网络, NumPy, 概率与统计, 降维, 应用数学, Jupyter, 衍生产品, 高等数学
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 机器学习, A/B 测试, 贝叶斯统计, 统计分析, 线性代数, 概率分布, 微积分, 统计推理, 数据转换, 数学建模, 概率与统计, 统计假设检验, NumPy, 概率, 应用数学, 降维, 抽样（统计）, Machine Learning 方法, 数值分析
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 线性代数, 微积分, 模拟和模拟软件, Matlab, 积分微积分, 计算思维, 几何学, 工程分析, 估算, 有限元方法, 数学建模, 工程计算, 数学软件, 应用数学, 机械工程, 微分方程, 工程学, 数值分析, 代数, 高等数学
状态：新状态：预览Universitat Politècnica de València
您将获得的技能: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Probability, Markov Model, Probability & Statistics, Estimation, Probability Distribution, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Statistical Analysis, Statistics, Mathematical Modeling, Data Analysis, Statistical Modeling, Data Science, Descriptive Statistics, Machine Learning Algorithms, Artificial Intelligence, Generative AI
总之，以下是 10 最受欢迎的 discrete mathematics 课程
- 计算机科学离散数学入门: University of California San Diego
- 离散数学: Shanghai Jiao Tong University
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- 数学思维导论: Stanford University
- 离散数学概论 Discrete Mathematics Generality: Peking University
- Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
- 机器学习数学: Imperial College London
- 机器学习和数据科学数学: DeepLearning.AI
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- 工程师数学: The Hong Kong University of Science and Technology
