Alright, so I’m all signed up.
CS 201. Program Design and Data Structures. Continuation of CS 101. The study of elementary data structures, their associated algorithms and their application in problems; rigorous development of programming techniques and style; design and implementation of programs with multiple modules, using good data structures and good programming style. Prerequisite: 101. FALL, SPRING. [3]
MATH 204. Linear Algebra. Algebra of matrices, real and complex vector spaces, linear transformations, systems of linear equations. Eigenvalues, eigenvectors, Cayley-Hamilton theorem. Inner product spaces, orthogonal bases. Hermitian matrices. Designed primarily for mathematics majors. No credit for students who have completed 194 or 205a. Corequisite: 170b or 175. FALL, SPRING. [3] Staff.
MATH 218. Introduction to Mathematical Statistics. A survey of probability and applied and mathematical statistics. Discrete and continuous probability models, mathematical expectation, laws of large numbers, point estimation, confidence intervals, hypothesis testing, nonparametric techniques, applications. Students taking 218 are strongly urged to take 218L concurrently. Prerequisite: 155b or 170a or consent of instructor. FALL, SPRING. [3] Larsen, Staff.
MATH 218L. Statistics Laboratory. Applications of the theory developed in 218. Emphasis on data analysis and interpretation. Topics covered include the one- and two-sample problems, paired data, correlation and regression, chi-square, model building. Examples are drawn from many disciplines. Corequisite: 218 or equivalent. FALL, SPRING. [1] Larsen.
PHYS 117a–117b. General Physics. Introduction to general physics and its applications. Mechanics, heat, sound, electricity and magnetism, optics, and modern physics. Accompanied by one three-hour laboratory per week. Corequisite: introductory calculus. [4–4] Albridge, Csorna.
PHIL 105. Introduction to Ethics. A study of theories of the good life and of the nature of virtue. Readings in major texts and discussion of selected problems. FALL, SPRING. [3] Lachs, Teloh.
Comments: 17 credit hours seems like a lot, but I don’t think it’ll be too bad. The linear algebra stuff will be partially repeated (they couldn’t count Math 250B as both linear algebra and diffeq for purposes of a math major), CompSci will be easy (except for excessively long labs), stats doesn’t look too bad, physics won’t be too hard (know about half the calc based stuff already), and I can get through philosophy no sweat. After this semester, I will have so few introductory requirements left it won’t even be funny the higher level courses I can take.