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    • Abstract Algebra

    Abstract Algebra Courses Online

    Understand abstract algebra for advanced mathematical and computational applications. Study groups, rings, and fields.

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    Explore the Abstract Algebra Course Catalog

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Mastering Statics

      Skills you'll gain: Structural Analysis, Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Engineering Analysis, Engineering Drawings, Geometry, Algebra, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      226 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      601 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, General Mathematics, Algebra, Mathematics and Mathematical Modeling, Information Technology, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free
      Free
      K

      Koç University

      Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Engineering Calculations, General Mathematics, Calculus, Mathematics and Mathematical Modeling, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Geometry

      4.1
      Rating, 4.1 out of 5 stars
      ·
      43 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Quantum Mechanics for Engineers

      Skills you'll gain: Estimation, Linear Algebra, Physics, Mechanics, Engineering Calculations, Probability, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Physical Science

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Specialization · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Quantum Information

      Skills you'll gain: Emerging Technologies, Digital Communications, Encryption, Theoretical Computer Science, Cryptography, Linear Algebra, Algorithms, Computational Thinking, Information Technology, Physics, Simulations, Mathematical Modeling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      121 reviews

      Advanced · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      380 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Zurich

      Teaching Science at University

      Skills you'll gain: Laboratory Experience, Teaching, Instructional Strategies, Experimentation, Education and Training, Drive Engagement, Course Development, Scientific Methods, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      190 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Battery State-of-Charge (SOC) Estimation

      Skills you'll gain: Estimation, Probability, Simulation and Simulation Software, Matlab, Numerical Analysis, Mathematical Modeling, Performance Tuning, Applied Mathematics, Algorithms, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    Abstract Algebra learners also search

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    1…131415…32

    In summary, here are 10 of our most popular abstract algebra courses

    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Mastering Statics: The Hong Kong University of Science and Technology
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
    • Quantum Mechanics for Engineers: University of Colorado Boulder
    • Introduction to Quantum Information: Korea Advanced Institute of Science and Technology(KAIST)
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Abstract Algebra

    Abstract Algebra courses on Coursera teach critical mathematical skills and concepts that are foundational in higher mathematics:

    • Understanding and working with algebraic structures such as groups, rings, and fields.
    • Developing skills in reasoning and logical thinking through proofs and problem-solving.
    • Techniques for solving polynomial equations and analyzing their structures.
    • Application of algebraic theories to other areas of mathematics like number theory and geometry.
    • Exploration of symmetry, transformation, and their mathematical implications.‎

    Abstract Algebra courses are generally suited for those with some mathematical background:

    • Beginners in the realm of advanced mathematics might need introductory courses in linear algebra or calculus before starting Abstract Algebra.
    • Intermediate learners who have a basic understanding of college-level mathematics can begin exploring fundamental concepts in Abstract Algebra.
    • Advanced students or professionals who already have experience in mathematics can dive into more complex topics and applications within the field.

    These courses are structured to help learners of varying levels gain a deep understanding of algebraic structures and their applications.‎

    Completing Abstract Algebra courses on Coursera can lead to various academic and professional enhancements:

    • Certificates of completion that demonstrate your understanding of complex mathematical concepts.
    • Professional certificates that can be integral to academic progression or careers in mathematics, science, or engineering.
    • Specializations that focus deeply on specific aspects of Abstract Algebra or its applications in other scientific disciplines.

    These credentials can be particularly valuable for students pursuing graduate studies or professionals in scientific and technological fields where advanced mathematics is crucial. ‎

    Skills acquired from Abstract Algebra courses are highly valued in numerous advanced academic and research-oriented careers:

    • Academic careers in mathematics, where you can contribute to teaching and advanced research.
    • Roles in cryptography and security analysis, where algebraic concepts are applied to develop new encryption methods.
    • Computational sciences, including algorithm design and software development, where abstract algebraic principles are increasingly employed.
    • Engineering fields, particularly those that involve signal processing, control theory, and robotics, which use algebraic structures to model complex systems.
    • Financial sectors that utilize algebra for quantitative analysis and financial modeling.

    Skills in Abstract Algebra can significantly enhance your analytical capabilities, opening up opportunities in fields that rely on high-level mathematics. ‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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