S&DS S2300 (CRN: 30152)
Instructors: Jonathan Reuning-Scherer
Dates: Session B, June 29 - July 31, 2026
Course Mode: Online
Meeting Times: MWF 10.00-11.30
Distributional Requirements: Quantitative Reasoning
Eligibility: Open to pre-college and college students
Online Course. Survey of statistical methods: plots, transformations, regression, analysis of variance, clustering, principal components, contingency tables, and time series analysis. The R computing language and Web data sources are used. Prerequisite: a 1000-level Statistics course or completed AP Statistics with a score of a 4 or 5. 1 Credit. Session B: June 29 – July 31. Tuition: $5480. Technology Fee: $85.
CPSC S3650 (CRN: 30051)
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
In-person Course. Paradigms for algorithmic problem solving: greedy algorithms, divide and conquer, dynamic programming, and network flow. NP completeness and approximation algorithms for NP-complete problems. Algorithms for problems from…
AMTH S2220 (CRN: 30212)
Dates: Session A, May 25 - June 26, 2026
Course Mode: Online
Online Course. Matrix representation of linear equations. Gauss elimination. Vector spaces. Linear independence, basis, and dimension. Orthogonality, projection, least squares approximation; orthogonalization and orthogonal bases. Extension to…
MENG S3323 (CRN: 30116)
Dates: Session B, June 29 - July 31, 2026
Course Mode: Online
Online Course. Kinematics and dynamics of particles and systems of particles. Relative motion; systems with constraints. Rigid body mechanics; gyroscopes. Prerequisites: PHYS 1800 or 2000, and MATH 1200 or ENAS 1510. MATH 2220 recommended but not…
APHY S1510 (CRN: 30192)
Dates: Session A, May 25 - June 26, 2026
Course Mode: Online
Online Course. The course will introduce the engineering and applied science student to multivariable calculus for use in solving problems of physical interest. The course will focus on topics including three-dimensional spaces and vectors,…
ECON S3365 (CRN: 30237)
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
In-person Course. Paradigms for algorithmic problem solving: greedy algorithms, divide and conquer, dynamic programming, and network flow. NP completeness and approximation algorithms for NP-complete problems. Algorithms for problems from…
MATH S1150 (CRN: 30108)
Dates: Session B, June 29 - July 31, 2026
Course Mode: Online
Online Course. A continuation of MATH 1120. The definite integral, fundamental theorem of calculus, techniques of integration, polar coordinates, Taylor series, applications. Prerequisite: MATH 1120 or completed AP AB Calculus with a score of a 4…