MATH 20CCalculus and Analytic Geometry for Science and Engineering
Vector geometry, vector functions and their derivatives. Partial differentiation. Maxima and minima. Double integration. (Two units of credit given if taken after MATH 10C. Credit not offered for both MATH 20C and 31BH. Formerly numbered MATH 21C.)
Prerequisites
From the catalog: “AP Calculus BC score of 4 or 5, or MATH 20B with a grade of C– or better.”
Where it sits in degree plans
Suggested plans most often put it in Year 1 · Spring (46 programs).
Required in (17)
- Aerospace Engineering (B.S.)
- Artificial Intelligence
- Bioengineering (B.S.)
- Bioengineering: BioSystems (B.S.)
- Bioengineering: Bioinformatics (B.S.)
- Bioengineering: Biotechnology (B.S.)
- Chemistry (B.S.)
- Computer Engineering (B.S.)
- Computer Science (B.S.)
- Computer Science with Specialization in Bioinformatics (B.S.)
- Environmental Chemistry (B.S.)
- Environmental Systems—Earth Sciences (B.S.)
- and 5 more
One of the options in (3)
- Business Economics
- Economics (B.A.)
- Economics (B.S.)
Courses that list MATH 20C as a prerequisite (57)
- BENG 100 Introduction to Probability and Statistics for Bioengineers
- CENG 102 Chemical Engineering Thermodynamics
- CHEM 126A Physical Biochemistry I: Thermodynamics and Kinetics of Biomolecules
- CHEM 131 Chemical Physics: Stat Thermo I
- CHEM 185 Quantum Chemistry Lab
- CHEM 186 Molecular Simulations Lab
- CSE 106 Discrete and Continuous Optimization
- CSE 151A Machine Learning: Learning Algorithms
- CSE 151B Deep Learning
- CSE 185 Advanced Bioinformatics Laboratory
- CSE 55 Foundations of Artificial Intelligence and Machine Learning
- DSC 120 Signal Processing for Data Analysis
- DSC 123A Optimization Methods for Data Science I
- DSC 40A Theoretical Foundations of Data Science I
- DSC 97 Internship in Data Science
- DSC 98 Directed Group Study in Data Science
- DSC 99 Independent Study in Data Science
- ECE 109 Engineering Probability and Statistics
- ECON 100A Microeconomics A
- ECON 102 Globalization
- ECON 107 Economic Regulation and Antitrust Policy
- ECON 110A Long Run Macroeconomics
- ECON 110B Short Run Macroeconomics
- ECON 120A Econometrics A
- ECON 132 Energy Economics
- ECON 175 International Financial Markets
- LIGN 167 Deep Learning for Natural Language Understanding
- MAE 146 Introduction to Machine Learning Algorithms
- MAE 20 Elements of Materials Science
- MAE 30A Statics and Introduction to Dynamics
- MATH 102 Applied Linear Algebra
- MATH 109 Mathematical Reasoning
- MATH 155A Geometric Computer Graphics
- MATH 168A Topics in Applied Mathematics—Computer Science
- MATH 170A Introduction to Numerical Analysis: Linear Algebra
- MATH 171A Introduction to Numerical Optimization: Linear Programming
- MATH 171B Introduction to Numerical Optimization: Nonlinear Programming
- MATH 173A Optimization Methods for Data Science I
- MATH 180A Introduction to Probability
- MATH 181A Introduction to Mathematical Statistics I
- MATH 183 Statistical Methods
- MATH 185 Introduction to Computational Statistics
- MATH 186 Probability and Statistics for Bioinformatics
- MATH 189 Exploratory Data Analysis and Inference
- MATH 20D Introduction to Differential Equations
- MATH 20E Vector Calculus
- NANO 141A Engineering Mechanics I: Analysis of Equilibrium
- PHYS 100A Electromagnetism I
- PHYS 100B Electromagnetism II
- SE 101A Mechanics I: Statics
- SIO 103 Introduction to Geophysics
- SIO 106 Introduction to Hydrogeology
- SIO 115 Ice and the Climate System
- SIO 161 Seismology
- SIO 171 Introduction to Physical Oceanography
- SIO 172 Physics of the Atmosphere
- SIO 174 Chemistry of the Atmosphere and Oceans