MATH 204: Elementary Linear Algebra

Each course's own prerequisites, down to the first courses in the chain.

• MATH 125 Calculus and Analytic Geometry II
  requires MATH 124 or MATH 134 or Calculus AB AP Exam (AP66), score 4 or Calculus BC AP Exam (AP68), score 3 or Calc AB Subscore AP Exm (AP69), score 4
  • MATH 124 Calculus and Analytic Geometry I
    requires MPT - Advanced - Scaled Score, score 153 or MATH 115 or MATH 118 or Precalculus AP Exam (AP65), score 5 or Calculus BC AP Exam (AP68), score 3 or Calculus AB AP Exam (AP66), score 2 or Calc AB Subscore AP Exm (AP69), score 2 or Pre-Calculus 2 (PC2), score 2.30 or ALEKS Math Placement Assessmnt, score 80
    • MATH 115 Precalculus II
      requires MATH 114 or Precalculus AP Exam (AP65), score 4 or ALEKS Math Placement Assessmnt, score 65
      • MATH 114 Precalculus I
        requires MPT General - Scaled Score, score 153 or MPT - Advanced - Scaled Score, score 143 or ALEKS Math Placement Assessmnt, score 55 or MATH 112 or Precalculus AP Exam (AP65), score 3 or College Algebra (CA), score 1.70 or Pre-Calculus 1 (PC1), score 1.70
        • MATH 112 Functions and Algebraic Methods
          requires MPT - Advanced - Scaled Score, score 143 or MATH 099 (minimum grade YP) or College Algebra (CA), score 1.70 or Intermediate Algebra (IA), score 1.70 or MPT General - Scaled Score, score 148 or ALEKS Math Placement Assessmnt, score 35 or Precalculus AP Exam (AP65), score 2 or MATH 197C (minimum grade S) or MATH 109 (minimum grade S)
          • MATH 099 Introductory Algebra
            requires ALEKS Math Placement Assessmnt, score 1
          • MATH 197C Support Topics for Functions and Algebraic Methods
            requires ALEKS Math Placement Assessmnt, score 30
          • MATH 109 Support for Functions and Algebraic Methods
            requires ALEKS Math Placement Assessmnt, score 30
    • MATH 118 Accelerated Precalculus
      requires MPT General - Scaled Score, score 158 or MPT - Advanced - Scaled Score, score 149 or Precalculus AP Exam (AP65), score 4 or Calculus AB AP Exam (AP66), score 2 or Calculus BC AP Exam (AP68), score 3 or Calc AB Subscore AP Exm (AP69), score 2 or ALEKS Math Placement Assessmnt, score 70
  • MATH 134 Calculus I Honors
    requires MATH 115 (minimum grade A) or MATH 118 (minimum grade A) or Math Placement - Advanced 2, score 20 or Precalculus AP Exam (AP65), score 5
    • MATH 115 Precalculus II (shown above)
    • MATH 118 Accelerated Precalculus (shown above)
• MATH 135 Calculus II Honors
• MATH 138 Accelerated Calculus
  requires Calculus AB AP Exam (AP66), score 4 or Calculus BC AP Exam (AP68), score 3 or Calc AB Subscore AP Exm (AP69), score 4 or (Calculus BC AP Exam (AP68), score 2 and Calc AB Subscore AP Exm (AP69), score 3)

Courses that list it as a prerequisite, then the courses that list those, 2 levels deep.

• CSCI 140 Programming Fundamentals in C++
  • CISS 361 Cybersecurity
  • EECE 233 Digital Electronics (continues on its page)
  • EECE 352 Introduction to Automation and Control (continues on its page)
  • ENGR 352 Introduction to Automation and Control (continues on its page)
  • M/CS 435 Nonlinear Optimization
  • M/CS 478 Fundamentals of Cryptography
  • MATH 445 Computational Statistics
  • MFGE 466 CAD Automation
  • PHYS 321 Tools and Data Analysis (continues on its page)
  • PHYS 326 Tools and Data Analysis (continues on its page)
  • PHYS 345 Quantum Computing
• CSCI 141 Computer Programming I
  • CISS 361 Cybersecurity (shown above)
  • CSCI 145 Computer Programming and Linear Data Structures (continues on its page)
  • CSCI 197C Computer Science Development Tools
  • DATA 311 Fundamentals of Data Science
  • EECE 233 Digital Electronics (shown above)
  • EECE 352 Introduction to Automation and Control (shown above)
  • ENGR 352 Introduction to Automation and Control (shown above)
  • GEOL 497T Marine Geohazards
  • GEOL 597T Marine Geohazards
  • M/CS 435 Nonlinear Optimization (shown above)
  • M/CS 478 Fundamentals of Cryptography (shown above)
  • MATH 445 Computational Statistics (shown above)
  • MFGE 466 CAD Automation (shown above)
  • PHYS 321 Tools and Data Analysis (shown above)
  • PHYS 326 Tools and Data Analysis (shown above)
  • PHYS 345 Quantum Computing (shown above)
  • SCED 205 Introduction to Computing Education (continues on its page)
• CSCI 380 Numerical Computations
• CSCI 424 Social Network Analysis
• CSCI 477 Data Mining
• CSCI 480 Computer Graphics
  • CSCI 585 Image Processing
• CSCI 482 Computational Neuroscience
• CSCI 497F Robotics
• CSCI 497V Computational Neuroscience
• CSCI 582 Computational Neuroscience
• CSCI 597F Robotics
• DATA 371 Machine Learning
  • CSCI 471 Advanced Machine Learning
  • CSCI 476 Computer Vision
  • CSCI 481 Deep Learning
  • CSCI 571 Advanced Machine Learning
• DATA 471 Machine Learning
  • CSCI 404 Natural Language Processing
  • CSCI 471 Advanced Machine Learning (shown above)
  • CSCI 476 Computer Vision (shown above)
  • CSCI 481 Deep Learning (shown above)
  • CSCI 497H Large Language Models
  • CSCI 571 Advanced Machine Learning (shown above)
  • CSCI 573 Computational Linguistics
• DATA 571 Machine Learning
  • CSCI 571 Advanced Machine Learning (shown above)
  • CSCI 573 Computational Linguistics (shown above)
  • CSCI 576 Computer Vision
  • CSCI 581 Deep Learning
  • CSCI 597H Large Language Models
• EECE 210 Circuit Analysis II
  • EECE 220 Electronics I (continues on its page)
  • EECE 310 Continuous Systems (continues on its page)
  • EECE 361 Signal Propagation (continues on its page)
  • EECE 372 Power Circuits and Electromechanical Systems (continues on its page)
  • ENRG 372 Electrical Power and Electromechanical Devices (continues on its page)
• EECE 346 Probability and Statistics for Electrical and Computer Engineering
  • EECE 360 Communication Systems (continues on its page)
  • EECE 383 Machine Learning for Engineers
  • EECE 384 Artificial Intelligence and Reinforcement Learning
  • EECE 483 Machine Learning for Engineers
  • EECE 484 Artificial Intelligence and Reinforcement Learning
  • EECE 502 Random Processes (continues on its page)
  • EECE 512 Engineering Optimization
  • MATH 246 Introduction to R software
  • MATH 342 Statistical Methods I (continues on its page)
• EECE 352 Introduction to Automation and Control
  • MFGE 453 Industrial Robotics (continues on its page)
  • MFGE 454 Industrial Automation and Integration
• EECE 383 Machine Learning for Engineers
• EECE 384 Artificial Intelligence and Reinforcement Learning
• EECE 397B Machine Learning for Engineers
• EECE 397C Artificial Intelligence and Reinforcement Learning
• EECE 397E Probability and Statistics for Electrical and Computer Engineering
  • EECE 360 Communication Systems (shown above)
  • EECE 383 Machine Learning for Engineers (shown above)
  • EECE 384 Artificial Intelligence and Reinforcement Learning (shown above)
  • EECE 484 Artificial Intelligence and Reinforcement Learning (shown above)
• EECE 483 Machine Learning for Engineers
• EECE 484 Artificial Intelligence and Reinforcement Learning
• ENGR 352 Introduction to Automation and Control
  • MFGE 453 Industrial Robotics (shown above)
  • MFGE 454 Industrial Automation and Integration (shown above)
• ESCI 463 Wetlands for Wastewater Treatment
• GEOL 110 Natural Hazards and Disasters
  • ENVS 362 U.S. Disaster Policy (continues on its page)
  • ENVS 372 Natural Hazards Planning (continues on its page)
• GEOL 252 The Earth and Its Weather
• M/CS 435 Nonlinear Optimization
• M/CS 478 Fundamentals of Cryptography
• MATH 205 Linear Algebra Workshop
• MATH 304 Linear Algebra
  • CSCI 471 Advanced Machine Learning (shown above)
  • CSCI 571 Advanced Machine Learning (shown above)
  • PHYS 363 Classical Mechanics (continues on its page)
  • PHYS 365 Mathematical Physics (continues on its page)
  • PHYS 455 Quantum Mechanics I (continues on its page)
• MATH 331 Ordinary Differential Equations
  • EECE 310 Continuous Systems (shown above)
  • M/CS 435 Nonlinear Optimization (shown above)
  • MATH 432 Systems of Differential Equations
  • MFGE 340 Applied Numerical Methods for Engineers (continues on its page)
  • PHYS 225 Modern Physics II (continues on its page)
  • PHYS 339 Optics
  • PHYS 363 Classical Mechanics (shown above)
  • PHYS 365 Mathematical Physics (shown above)
• MATH 342 Statistical Methods I
  • ECON 406 Topics in Microeconomics
  • ECON 407 Topics in Macroeconomics
  • ECON 410 Benefit-Cost Analysis
  • ECON 470 Economic Fluctuations and Forecasting (continues on its page)
  • ECON 475 Econometrics (continues on its page)
  • ECON 483 Resource Economics
  • ESCI 497H Dynamics of Flow in Oceans, Rivers, and Lakes
  • MATH 343 Statistical Methods II (continues on its page)
  • MATH 443 Linear Statistical Models (continues on its page)
  • MATH 444 Categorical Data Analysis (continues on its page)
  • MATH 445 Computational Statistics (shown above)
  • MATH 446 Nonparametric Statistical Inference (continues on its page)
  • MATH 447 Multivariate Statistics
  • MATH 456 Applied Time Series Analysis
  • MATH 457 Bayesian Statistics
  • MATH 556 Applied Time Series Analysis
• MATH 346 Probability and Statistics for Electrical and Computer Engineering
  • EECE 360 Communication Systems (shown above)
  • EECE 383 Machine Learning for Engineers (shown above)
  • EECE 384 Artificial Intelligence and Reinforcement Learning (shown above)
  • EECE 483 Machine Learning for Engineers (shown above)
  • EECE 484 Artificial Intelligence and Reinforcement Learning (shown above)
  • EECE 502 Random Processes (shown above)
  • MATH 246 Introduction to R software (shown above)
  • MATH 342 Statistical Methods I (shown above)
• MATH 405 Algebraic Geometry
• MATH 432 Systems of Differential Equations
• MATH 441 Probability
  • CSCI 405 Data Structures and Algorithms II
  • CSCI 497E AI for STEM - Hype, Reality, and Promise
  • MATH 246 Introduction to R software (shown above)
  • MATH 442 Mathematical Statistics (continues on its page)
  • MATH 443 Linear Statistical Models (shown above)
  • MATH 458 Stochastic Processes
  • MATH 558 Stochastic Processes
• MATH 447 Multivariate Statistics
• MATH 463 Geometric Topology
• MFGE 340 Applied Numerical Methods for Engineers
  • EECE 352 Introduction to Automation and Control (shown above)
  • ENGR 352 Introduction to Automation and Control (shown above)
  • MFGE 466 CAD Automation (shown above)
• PHYS 224 Modern Physics I
  • PHYS 225 Modern Physics II (shown above)
• PHYS 230 Introduction to Quantum Physics
  • CHEM 486 Computational Chemistry
  • CHEM 586 Computational Chemistry
  • PHYS 335 Statistical and Thermal Physics (continues on its page)
  • PHYS 346 Introduction to Particle and Nuclear Physics
  • PHYS 391 Junior Lab (continues on its page)
  • PHYS 455 Quantum Mechanics I (shown above)
• PHYS 326 Tools and Data Analysis
  • PHYS 322 Fundamentals of Electronics (continues on its page)
  • PHYS 486 Computational Physics
• PHYS 345 Quantum Computing
• PHYS 361 Introduction to Mathematical Physics
  • PHYS 363 Classical Mechanics (shown above)
  • PHYS 365 Mathematical Physics (shown above)
• PHYS 397B Introduction to Mathematical Physics