Core Curriculum Category  May be fulfilled by these exams (though no credit is given) 
Science, Technology, and Society (STS)  AP Environmental Science: Score of 4 or higher 
Experimental Discovery (ED)  AP Psychology: Score of 4 or higher IB Psychology HL: Score of 6 or higher A Level Psychology: Score of B or higher AP Physics C Mech or AP Physics C – E&M: Score of 4 or higher 
BOTH Experimental Discovery (ED) AND Science, Technology and Society (STS)  AP Physics 1 & 2 or AP Chemistry or AP Biology: Score of 4 or higher AP Physics C Mech and AP Physics C – E&M: Score of 4 or higher IB Biology HL or IB Chemistry HL or IB Physics HL: Score of 6 or higher A Level Biology or A Level Chemistry or A Level Physics: Score of B or higher 
Algorithmic Thinking (AT)  AP Computer Science: Score of 4 or higher IB Computer Science HL: Score of 4 or higher NYU Shanghai Placement Exam for Introduction to Computer Science 
Mathematics  AP Calculus AB or BC: Score of 4 or higher IB Mathematics HL: Score of 6 or higher A Level Mathematics: Score of B or higher NYU Shanghai Placement Exam for Calculus 

Elementary Chinese 1

Elementary Chinese 2

Elementary Chinese 1 for Advanced Beginners (see note in course description via Albert Course Search; covers through Elementary 2)

Intermediate Chinese 1

Intermediate Chinese 2

Intermediate Chinese 1 for Advanced Beginners (see note in course description via Albert Course Search; covers through Intermediate 2)

Intermediate Chinese Accelerated

Advanced Chinese 1

Advanced Chinese 2

SAT General Test Math score of at least 690

SAT Math Level I (before Mar/2016) Subject Test score of at least 700

SAT Math Level I (after Mar/2016) Subject Test score of at least 690

SAT Math Level II (after Mar/2016) Subject Test score of at least 630

ACT/E Math score of 30 or higher

AP Calculus AB score of 4 or higher

AP Calculus BC score of 4 or higher

IB Mathematics SL score of 6 or higher

IB Mathematics HL score of 5 or higher

ASlevel Mathematics grade of A or better

Alevel Mathematics grade of B or better

Faculty review of students' Gaokao math scores

Grade of C or better in MATHSHU 009 (Precalculus)

Passing the NYU Shanghai PlaceIntoCalculus Examination
 Faculty review of students' APBC, IBHL and Gaokao math scores

Passing the NYU Shanghai PlaceOutofCalculus Examination

Faculty review of students' APBC, IBHL and Gaokao math scores

Grade of C or better in MATHSHU 121 (Calculus)

Passing the NYU Shanghai PlaceOutofCalculus Examination
Fall 2018 and Spring 2019 Mathematics Placement Exam
Mathematics Placement Exams (placein and placeout) will be offered in November and again at the beginning of spring semester. The placement exam can only be taken twice during your university career. RSVP is required for the exams.
November Exam Times (RSVP Required)
5:40 pm, Monday, November 5, 2018, Room 526
12:40 pm, Tuesday, November 6, 2018, Room 526
To take the exams in November, please sign up here!
February Exam Times (RSVP Required)
5:40pm, Monday, February 11, 2019 (first day of classes), Room 526
12:40pm, Tuesday, February 12, 2019, Room 526
Students currently enrolled in MATHSHU 121 (Calculus) are not eligible to take the PlaceoutofCalculus exam.
Students currently enrolled in MATHSHU 009 (Precalculus) are not eligible to take either the PlaceintoCalculus exam or the PlaceoutofCalculus exam.
To take the exams in February, please sign up here!
Exam II: Placement out of Calculus
2. Only students passing the NYU Shanghai examination for placement into Calculus (Exam I) or initially placed into Calculus or above are eligible to take the placement examination for placement out of Calculus (Exam II) or placement into Honors Calculus (Exam III).
3. A student may attempt the same placement exam only twice, with at least three months between each attempt.
4. Within the NYU Shanghai add/drop period, a student is allowed to move to a lower level of Mathematics at his/her own discretion (provided that student has not already taken the lowerlevel course at NYU Shanghai). The student must inform his/her advisor of this change. Instructor approval is not required for such a change. No such movement may occur after the add/drop period has ended.
Sample Placement Exam II: Placement out of Calculus Examination  Solutions
This course is designed as a preparation for calculus, including study of basic properties of polynomials, rational functions, exponential and logarithmic functions, and trigonometric functions. Systems of linear equations and matrix operations are also covered.
This onesemester course serves as an introduction to great ideas in mathematics. During the course we will examine a variety of topics chosen from the following broad categories. 1) A survey of pure mathematics: What do mathematicians do and what questions inspire them? 2) Great works: What are some of the historically big ideas in the field? Who were the mathematicians that came up with them? 3) Mathematics as a reflection of the world we live in: How does our understanding of the natural world affect mathematics (and vice versa). 4) Computations, proof, and mathematical reasoning: Quantitative skills are crucial for dealing with the sheer amount of information available in modern society. 5) Mathematics as a liberal art: Historically, some of the greatest mathematicians have also been poets, artists, and philosophers. How is mathematics a natural result of humanity's interest in the nature of truth, beauty, and understanding? Why is math a liberal art?
This course presents the foundations of calculus for functions of a single variable. Topics addressed include limits, continuity, rules of differentiation, approximation, antiderivatives, indefinite and definite integrals, the fundamental theorem of calculus, integration techniques, and improper integrals. (Prerequisite: Initial math placement or via NYU Shanghai math placement exam.)
This is a rigorous course in singlevariable calculus for mathematics majors, providing preparation for advanced courses in analysis. Topics covered include number systems, functions, graphs, vectors, conic sections, polar coordinates, limits, continuity, least upper bounds, the derivative, convexity and concavity, inverse functions, parametric curves, Riemann sums, integrals, and the fundamental theorem of calculus. (Prerequisite: Initial math placement or via NYU Shanghai math placement exam.)
This is the first semester of a 2semester sequence in linear algebra for advanced mathematics majors. Topics covered include fields, vector spaces, linear independence, dimension, linear transformations, rank, matrices, eigenvalues, eigenvectors, determinants, characteristic polynomials, and the CayleyHamilton theorem. Examples from applications are also covered, including interpolation problems, traffic flows, genetics, the fundamental theorem of algebra, electric circuits, static mechanics, and consumption matrices in economics. (Prerequisite: Initial math placement or via NYU Shanghai math placement exam.)
This course explores calculus of functions of several variables. Topics covered include power series, differentiation and integration of functions of several variables, including directional derivatives, the gradient, line and multiple integrals, and the theorems of Green, divergence, and Stokes. (Prerequisite: Initial math placement or via NYU Shanghai math placement exam or Calculus).
 3:004:00 PM, Sunday, February 10, 2019, Classroom 101
An introduction to the fundamentals of computer programming. Students design, write, and debug computer programs. No prior knowledge of programming is assumed. Students will learn programming using Python, a general purpose, crossplatform programming language with a clear, readable syntax. Most class periods will be part lecture, part lab as you explore ideas and put them into practice. This course is suitable for students not intending in majoring in computer science as well as for students intending to major in computer science but having no programming experience. Students with previous programming experience should instead take Introduction to Computer Science.
This course has three goals. First, the mastering of a modern objectoriented programming language, enough to allow students to tackle realworld problems of important significance. Second, gaining an appreciation of computational thinking, a process that provides the foundations for solving realworld problems. Finally, providing an overview of the very diverse and exciting field of computer science – a field which, arguably more than any other, impacts how we work, live, and play today. (Prerequisite: Introduction to Computer Programming or via NYU Shanghai computer science placement exam.)

PLACING OUT OF CSCIUA 0002, INTRODUCTION TO PROGRAMMING  90 MINUTES
 PLACING OUT OF CSCIUA 0101, INTRODUCTION TO COMPUTER SCIENCE  1 HOUR 50 MINUTES

PLACING OUT OF CSCIUA 0102, DATA STRUCTURES  1 HOUR 50 MINUTES

PLACING OUT OF CSCIUA 0004, WEB DESIGN PLACEMENT  30 MINUTES