S&DS S2300 (CRN: 30152) | Syllabus
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.
ENAS S1510 (CRN: 30062)
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,…
CPSC S1230 (CRN: 30231)
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
In-person Course. Computational and statistical skills are increasingly important in our data-driven world. These skills are key to opening doors for research and career opportunities during and beyond your years at Yale. This course aims to…
CPSC S1001 (CRN: 30049)
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
In-person Course. Development on the computer of programming skills, problem-solving methods, and selected applications. No previous experience with computers necessary. 1 Credit. Session B: June 29 – July 31. Tuition: $5480.
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,…
MATH S2220 (CRN: 30110)
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…
S&DS S1230 (CRN: 30151)
Dates: Session B, June 29 - July 31, 2026
Course Mode: In-Person
In-person Course. Computational and statistical skills are increasingly important in our data-driven world. These skills are key to opening doors for research and career opportunities during and beyond your years at Yale. This course aims to…