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    • Computational Neuroscience

    Computational Neuroscience Courses Online

    Study computational neuroscience for modeling brain function. Learn to use computational methods to understand neural networks and brain activity.

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    Explore the Computational Neuroscience Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Ideal Gases

      Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Engineering Calculations, Mechanics, Semiconductors, Physical Science, Physics, Numerical Analysis, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      142 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

      Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools

      Beginner · Course · 1 - 3 Months

    • N

      Nanjing University

      计算机系统基础(一) :程序的表示、转换与链接

      Skills you'll gain: Computer Systems, Computer Architecture, System Programming, Computational Logic, Programming Principles, Operating Systems, C (Programming Language), Computer Hardware, Data Structures, Secure Coding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Concepts in Python: Loops, Functions and Returns

      Skills you'll gain: Computational Thinking, Python Programming, Scripting, Maintainability, Programming Principles, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology in K-12 Education

      Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Student Engagement, Pedagogy, Blockchain, Algorithms, Data Security, Teaching, Cryptography, Education and Training, Technical Communication, Education Software and Technology, Diversity Awareness, Information Privacy, Emerging Technologies, Digital Transformation, Computer Science, Information Technology, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Pseudocode, Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Data Structures, Applied Mathematics, Graph Theory, Mathematical Theory & Analysis, Design Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Psychedelic Science and Medicine

      Skills you'll gain: Clinical Trials, Pharmacology, Clinical Research, Psychiatry, Research Methodologies, Mental Health Therapies, Healthcare Ethics, Research, Science and Research, Psychology, Mental Health Diseases and Disorders, Neurology, Cultural Responsiveness, Social Studies, Ancient History

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Java: Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Object Oriented Programming (OOP), Performance Tuning

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Deep Learning for Natural Language Processing

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Deep Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Tensorflow, OpenAI, Network Architecture, Machine Learning Algorithms, Python Programming

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular computational neuroscience courses

    • Ideal Gases: University of Colorado Boulder
    • Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
    • Advanced Neural Network Techniques: Johns Hopkins University
    • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
    • 计算机系统基础(一) :程序的表示、转换与链接: Nanjing University
    • Concepts in Python: Loops, Functions and Returns: Coursera Project Network
    • Bayesian Computational Statistics: Illinois Tech
    • Teaching Impacts of Technology in K-12 Education: University of California San Diego
    • 算法设计与分析 Design and Analysis of Algorithms: Peking University
    • Psychedelic Science and Medicine: Johns Hopkins University

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