Applied Mathematics Courses at CU Boulder
Every Applied Mathematics course at University of Colorado Boulder, with difficulty, workload, and ratings. 24 courses · 769 ratings across the web
Ratings across the web
Students give Applied Mathematics courses 4.0 out of 5, and 62% would take one again.
Across 21 rated courses. No reviews written here yet.
Easiest course
STAT2600
Introduction to Data Science · 55/100 difficulty
Most challenging
CSCI3022
Introduction to Data Science with Probability and Statistics · 80/100 difficulty
All Applied Mathematics Courses (24)
APPM1350Calculus 1 for Engineers
4.2 out of 5 stars4.2· 178 ratings
APPM1360Calculus 2 for Engineers
4.1 out of 5 stars4.1· 131 ratings
APPM2360Introduction to Differential Equations with Linear Algebra
3.2 out of 5 stars3.2· 118 ratings
APPM2350Calculus 3 for Engineers
3.7 out of 5 stars3.7· 106 ratings
CSCI2824Discrete Structures
2.4 out of 5 stars2.4· 54 ratings
CSCI3022Introduction to Data Science with Probability and Statistics
3.1 out of 5 stars3.1· 36 ratings
APPM1235Pre-Calculus for Engineers
3.4 out of 5 stars3.4· 35 ratings
STAT2600Introduction to Data Science
5.0 out of 5 stars5.0· 16 ratings
AAPM1350
4.8 out of 5 stars4.8· 15 ratings
APPM3570Applied Probability
3.3 out of 5 stars3.3· 12 ratings
APPM4350Methods in Applied Mathematics: Fourier Series and Boundary Value Problems
4.8 out of 5 stars4.8· 12 ratings
STAT3100Applied Probability
1.4 out of 5 stars1.4· 12 ratings
APPM3310Matrix Methods and Applications
4.0 out of 5 stars4.0· 11 ratings
APPM3170Discrete Applied Mathematics
3.8 out of 5 stars3.8· 8 ratings
APPM2340Calculus 3 for Statistics and Data Science
4.5 out of 5 stars4.5· 4 ratings
APPM3350Advanced Engineering Calculus
3.8 out of 5 stars3.8· 4 ratings
APPM4570
5.0 out of 5 stars5.0· 4 ratings
APPM4650Intermediate Numerical Analysis 1
4.0 out of 5 stars4.0· 4 ratings
APPM1340Calculus 1 with Algebra, Part A
5.0 out of 5 stars5.0· 3 ratings
APPM1650Python for Math and Data Science Applications
4.3 out of 5 stars4.3· 3 ratings
APPM4560Markov Processes, Queues, and Monte Carlo Simulations
5.0 out of 5 stars5.0· 3 ratings
APPM2026
No reviews yet · be the first
APPM3650Algorithms and Data Structures in Python
No reviews yet · be the first
CAL1350
No reviews yet · be the first
Top Applied Mathematics Courses at CU Boulder
0–100 scores from ratings across the web
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