uc berkeley which math course to pick

CHOOSING THE FIRST MATH COURSE AT U.C. BERKELEY Q: WHICH MATH COURSE SHOULD I ENROLL IN? A: That depends on your math background and your intended major (see below). Math 16A-16B covers much of the same basic topics as Math 1A-1B, but lacks in-depth calculus and so, is less rigorous and demanding.

Full Answer

What do you need to know about the maths course?

The course will focus on reading and understanding mathematical proofs. It will emphasize precise thinking and the presentation of mathematical results, both orally and in written form. The course is intended for students who are considering majoring in mathematics but wish additional training. Grading/Final exam status: Letter grade.

What are the credit restrictions for math 1A?

Credit Restrictions: Students will receive no credit for MATH 1A after completing MATH N1A, MATH 16B, Math N16B or XMATH 1A. A deficient grade in MATH 1A may be removed by taking MATH N1A.

What is concurrent enrollment at UC Berkeley?

Concurrent Enrollment: This system, run by UC Berkeley Extension, similarly allows non-Berkeley students to enroll during the regular semester in most regular Berkeley courses on a pay-by-course basis. Programs of study in Mathematics: For information, click on Undergraduate or Graduate.

Do I need to take the Math Placement exam?

Students do not need to take the Math Placement Exam for Math 1A, 16A, or 32 if within the past year, they: scored at least a score of 620 on the SAT II: Math Level II/IIC. FOR MAJORS IN : ENROLL IN : PREREQUISITES:

Course information for specific Semesters

Schedules and course announcements: Under the heading Course Offerings in the menu at left you will find a link for the current term (= Semester or Summer Session), and, as the time approaches, will show links for coming terms as well.

Further material on courses

The Berkeley Academic Guide (previously called the General Catalog) has descriptions of all our courses and general information about our Department.

What are some topics not covered in Math 113?

Possible topics include the Sylow Theorems and their applications to group theory; classical groups; abelian groups and modules over a principal ideal domain; algebraic field extensions; splitting fields and Galois theory; construction and classification of finite fields.

What is a Berkeley seminar?

The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester.

How many hours of lecture for H1B?

Hours & Format. Fall and/or spring: 15 weeks - 3 hours of lecture and 2 hours of discussion per week. Summer: 8 weeks - 5 hours of lecture and 5 hours of discussion per week. Additional Details.

What is the honors section 113?

Honors section corresponding to 113. Recommended for students who enjoy mathematics and are willing to work hard in order to understand the beauty of mathematics and its hidden patterns and structures. Greater emphasis on theory and challenging problems.

What is differential calculus in Rn?

Differential calculus in Rn: the derivative as a linear map; the chain rule; inverse and implicit function theorems. Lebesgue integration on the line; comparison of Lebesgue and Riemann integrals. Convergence theorems. Fourier series, L2 theory. Fubini's theorem, change of variable.

What GPA is required for independent study?

Supervised independent study by academically superior, lower division students. 3.3 GPA required and prior consent of instructor who is to supervise the study. A written proposal must be submitted to the department chair for pre-approval.

What is the purpose of the math proofs course?

It will emphasize precise thinking and the presentation of mathematical results, both orally and in written form. The course is intended for students who are considering majoring in mathematics but wish additional training.

1. MATH 116: Cryptography

This course is 4 credits. Kenneth A. Ribet introduces students to cryptography. The course consists on the construction and analysis of simple cryptosystems and public key cryptography. Topics include RSA, signature schemes, key distribution, hash functions, elliptic curves, and applications.

2. MATH 118: Fourier Analysis, Wavelets, and Signal Processing

Evans Strain is the instructor for the course. He introduces signal processing including Fourier analysis and wavelets. Topics include Theory, algorithms, and applications to one-dimensional signals and multidimensional images. The course is 4 credits for students towards their degree.

3. MATH 125A: Mathematical Logic

This course teaches sentential and quantificational logic. You'll learn about formal grammar, semantical interpretation, formal deduction, and their interrelation. Emphasis will be placed on formalized mathematical theories. The course is 4 units and is taught by Thomas Scanlon.

4. MATH 130: Groups and Geometries

4 units are provided to students who take this course. Kathryn Mann introduces students to isometries of Euclidean space, focusing on topics about the Platonic solids and their symmetries. There will be emphasis on crystallographic groups, projective geometry, and hyperbolic geometry.

5. MATH 140: Metric Differential Geometry

Gang Liu teaches this 4 credit course. The course focuses on frenet formulas, isoperimetric inequality, and local theory of surfaces in Euclidean space. Topics include Gaussian and mean curvature, isometries, geodesics, parallelism, the Gauss-Bonnet-Von Dyck Theorem.

6. MATH 142: Elementary Algebraic Topology

Semeon Artamonov is the professor for this 4-unit course. This course studies the topology of one- and two-dimensional spaces. Topics include manifolds and triangulation, classification of surfaces, Euler characteristic, and fundamental groups. There is special emphasis on the discretion of the instructor.

7. MATH 170 Mathematical Methods for Optimization

This is a 4 credit course. The course focuses on linear programming. Ming Gu. Selects topics of matrix games, integer programming, semi-definite programming, nonlinear programming, convex analysis ,and geometry. There will be evidence on polyhedral geometry, the calculus of variations, and control theory.

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