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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
      K

      Koç University

      Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

      Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Applied Mathematics, Engineering Analysis, Linear Algebra, Mathematical Theory & Analysis, Physics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Mixed · Course · 1 - 3 Months

    • H

      Howard University

      Fundamental Linear Algebra Concepts with Python

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronics Engineering, Electronics, Numerical Analysis, Engineering Analysis, Telecommunications, Linear Algebra, Calculus, Mathematical Modeling, Quantitative Research, Systems Of Measurement, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Robotics with Webots

      Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Automation, Engineering, Scientific, and Technical Instruments, Data Mapping, Graph Theory, Algorithms, Simulation and Simulation Software, Mechanics, Control Systems, Simulations, Computer Vision, Engineering, Real-Time Operating Systems, Global Positioning Systems, Data Structures, Estimation, Linear Algebra, Performance Tuning, Computer Science

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Peking University

      面向对象技术高级课程(The Advanced Object-Oriented Technology)

      Skills you'll gain: Object Oriented Design, Unified Modeling Language, Object Oriented Programming (OOP), Software Development, Program Development, Software Architecture, Software Engineering, Software Design, Software Development Methodologies, System Design and Implementation, Systems Analysis, Technical Design, Requirements Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Neural Networks, Generative AI, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Approximation Algorithms Part I

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Skills you'll gain: Calculus, Applied Mathematics, Data Analysis, Analysis, Mathematical Theory & Analysis, Derivatives, Trend Analysis, Graphing, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      197 reviews

      Beginner · Course · 1 - 3 Months

    Abstract Algebra learners also search

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

    • Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University
    • Fundamental Linear Algebra Concepts with Python: Howard University
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Introduction to Robotics with Webots: University of Colorado Boulder
    • 面向对象技术高级课程(The Advanced Object-Oriented Technology): Peking University
    • Introduction to Deep Learning: University of Colorado Boulder
    • Operations Research (2): Optimization Algorithms: National Taiwan University
    • Principles of Computing (Part 1): Rice University
    • Approximation Algorithms Part I: École normale supérieure

    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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