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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

    • R

      Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Structural Analysis, Mechanical Engineering, Calculus, Engineering Calculations, Engineering Analysis, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Geometry, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      254 reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      148 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad de los Andes

      Contenido de las matemáticas de primaria

      Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Graphing, Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Physics 102 - AC Circuits and Maxwell's Equations

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Physics, Engineering Analysis, Electronic Systems, Electrical Systems, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Motion Planning for Self-Driving Cars

      Skills you'll gain: Algorithms, Computer Vision, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      481 reviews

      Advanced · Course · 1 - 3 Months

    • L

      L&T EduTech

      Chip based VLSI design for Industrial Applications

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronics, Hardware Design, Application Specific Integrated Circuits, Electronics Engineering, Serial Peripheral Interface, Computational Logic, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Electronic Hardware, Electronic Components, Internet Of Things, Programmable Logic Controllers, Low Voltage, Embedded Software, Electronic Systems, Network Protocols, Embedded Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      109 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • M

      Meta

      Advanced Programming in Swift

      Skills you'll gain: Swift Programming, Apple iOS, Unit Testing, Apple Xcode, Development Testing, Software Testing, Object Oriented Programming (OOP), Data Structures, Software Design Patterns, Software Design, Data Management, Debugging, Functional Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      86 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

    • N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      2.- El Cálculo - Modelo Cuadrático

      Skills you'll gain: Education Software and Technology, Calculus, Applied Mathematics, Algebra, Mathematical Modeling, Mathematical Software, Graphing, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      340 reviews

      Mixed · Course · 1 - 4 Weeks

    1…101112…32

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

    • Introduction to Mechanics: Rice University
    • GPU Programming: Johns Hopkins University
    • Contenido de las matemáticas de primaria: Universidad de los Andes
    • Physics 102 - AC Circuits and Maxwell's Equations: Rice University
    • Motion Planning for Self-Driving Cars: University of Toronto
    • Chip based VLSI design for Industrial Applications: L&T EduTech
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Advanced Programming in Swift: Meta
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Guided Tour of Machine Learning in Finance: New York University

    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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