Suggested electives for students pursuing honors: The minor requires three courses, two of which must be in different departments. Advanced degrees or certifications may be required for academic or clinical positions. Course code prefixes Three lecture hours per week, 4040 ADVANCED GGY AXIS PREREQUISITE: A minimum grade of 70% in Computer Science 4360, 4650 and 4810 Three lecture hours per week, 3620 SOFTWARE DESIGN AND ARCHITECTURE Machine learning is the study of mechanisms for acquiring knowledge from large data sets. This course is an introduction to Wireless Sensor Networks. Mathematics Jay Adamsson, Adjunct Professor This course provides an introduction to calculus for students in the managerial, social and life sciences. Prospective students should contact the School of Mathematical and Computational Sciences for a more detailed description of any particular year’s offering. Visit our COVID-19 information website to learn how Warriors protect Warriors. The program is interdisciplinary in its focus, and students are required to complete course work in mathematics, computer science, statistics, and management science and engineering. In addition to Grade XII academic Mathematics (or equivalent), a passing grade on an Assessment Test written during the first week of classes is required as a prerequisite for Math 1910. PREREQUISITE: Math 2610 and AMS 2410 and STAT 2910 See the Associate Dean of the School of Mathematical and Computational Sciences for details. PREREQUISITE: Math 2420 Three lecture hours per week plus a one-hour lab per week, 4610 PREDICTIVE ANALYTICS II Computer Science specializing in Video Game Programming In this course, students learn to create websites that involve server-side scripting and database operations. If taken as VPM 8850 or HB 8850 – Admission to the graduate program and permission of the instructor. Three lecture hours per week, 3920 NUMERICAL ANALYSIS Students accepted into the program complete at least three paid work terms of normally 14 weeks duration, and three professional development courses. Three lecture hours per week plus a one-hour lab per week, 4580 CREDIBILITY THEORY In this course, students work as a group to develop a single design into a fully functioning video game. Topics include the basic functions and commands, programming and problem-solving using MAPLE. Note that this course is designed for students who have a firm grasp of grade 12 math skills, and is a prerequisite for all additional statistics courses. The minor consists of nine courses for a minimum of 32 units. School of Mathematical and Statistical Sciences, Public Service and Sequences, series, tests for convergence, Taylor series and Taylor polynomials are studied. Students will learn and apply the object-oriented paradigm of programming to reinforce and extend their knowledge in computational thinking, data representation and algorithms. PREREQUISITE: AMS 2160 Introduction to mathematical techniques used to price and hedge derivative securities in modern finance. PREREQUISITES: Math 2420 and AMS 2940 Supervised and unsupervised learning techniques are studied, with particular application to real-world data. Topics include: finite automata; regular expressions; regular, context-free, and context-sensitive languages; computability models; algorithmic decidable and undecidable problems. David Horrocks, Associate Professor Three lecture hours per week, 4440 DATA SCIENCE Questions regarding the Program can be emailed to the MCS Program Coordinator, 390 Jane Stanford Way Stanford University. PREREQUISITE: Permission of the instructor This course covers the basic theory, methodology and applications of generalized linear models. (9 credits). This course covers various advanced topics in corporate finance, and covers topics such as fundamentals of capital budgeting; valuing stocks, capital markets and the pricing of risks; optimal portfolio choice and the capital asset; estimating the cost of capital; investment behavior and capital market efficiency; capital structure in a perfect market; debt and taxes; financial distress, managerial incentives, and information; real options; raising equity capital; debt financing; and supplementary material for investments and finance: measures of investment risk, Monte Carlo simulation, and empirical evidence on the efficient market hypothesis. Maxim Burke, Professor PREREQUISITE: Math 3610 Students who place out of MATH 19, 20, and 21 are required to take additional Math classes as discussed with MCS student services and the student's faculty advisor. The honors program allows for a capstone experience, building upon the student’s current academic knowledge and strengthening their understanding in a specific field of study/concentration. Three lecture hours per week plus a two hour lab per week, 3410 FINANCIAL ECONOMICS II This is a first course in compiler design. AMS – for Applied Mathematical Sciences courses (mainly Actuarial Science and Financial Mathematics) Semester hours of credit: 4 This course explores foundational notions and models in financial mathematics. MATH 2910 Multivariable and Vector Calculus (4 credits), Plus 3 semester hours of credit in Mathematics at the 3000 level or higher, and an additional 6 semester hours of credit of Mathematics at the 2000 level or above. Topics covered include: probability, continuous and discrete random variables, moment generating functions, multivariate probability distributions and functions of random variables. This course continues MATH 261 with further concepts and theory of linear algebra. This course examines the principal features of major types of programming languages, including procedural, logical, functional and object-oriented languages. Other upper-division courses appropriate to the program major may be substituted with consent of MCS program director. Symmetric and asymmetric key encryption algorithms are studied and analyzed. Toggle School of Earth, Energy and Environmental Sciences, minor in Mathematical and Computational Science, Undergraduate Major Unit Requirements and WIMs, Involuntary Leave of Absence and Return Policy, Main Quadrangle • Memorial Court • Oval • White Plaza, Sexual Harassment and Consensual Sexual or Romantic Relationships, Student Non-Academic Grievance Procedure, Title IX of the Education Amendments of 1972, Visitor Policy • University Statement on Privacy, School of Earth, Energy and Environmental Sciences, Emmett Interdisciplinary Program in Environment and Resources (E-IPER), Institute for Computational and Mathematical Engineering, Comparative Studies in Race and Ethnicity (CSRE), Division of Literatures, Cultures, and Languages, Russian, East European and Eurasian Studies, Stem Cell Biology and Regenerative Medicine, Undergraduate Mission Statement for Mathematical and Computational Science, Bachelor of Science in Mathematical and Computational Science, Mathematical and Computational Science Tracks, Minor in Mathematical and Computational Science, Linear Algebra, Multivariable Calculus, and Modern Applications, Ordinary Differential Equations with Linear Algebra, Introduction to the Theory of Computation, Ethics, Public Policy, and Technological Change, Introduction to Optimization (Accelerated), Introduction to Stochastic Control with Applications, Introduction to Regression Models and Analysis of Variance, The Fourier Transform and Its Applications, Introduction to Statistical Signal Processing, Fundamentals of Data Science: Prediction, Inference, Causality, Introduction to Combinatorics and Its Applications, Basic Probability and Stochastic Processes with Engineering Applications, Lebesgue Integration and Fourier Analysis, Bootstrap, Cross-Validation, and Sample Re-use, Introduction to Numerical Methods for Engineering, Software Development for Scientists and Engineers, Operating Systems and Systems Programming, Artificial Intelligence: Principles and Techniques, Probabilistic Graphical Models: Principles and Techniques, Advance Molecular Biology: Epigenetics and Proteostasis, Conservation Biology: A Latin American Perspective, Theoretical Population Genetics (offered alternate years), Ordinary Differential Equations for Engineers, Linear Algebra and Partial Differential Equations for Engineers, Statistical Methods in Engineering and the Physical Sciences, Introduction to Materials Science, Nanotechnology Emphasis, Mathematical Programming and Combinatorial Optimization. Advisor approval required. This course is an introduction to bioinformatics, with a focus on a practical guide to the analysis of data on genes and proteins. Made with ❤️ in Hamburg©2020 Studis Online / Oliver+Katrin Iost GbR [Fach 333] 2, Impressum ▪ Werbung / Mediadaten ▪ Info Studienprofile ▪ Datenschutz ▪ Cookies ▪ Haftungsausschluss, Computational Mathematics kann in insgesamt 19 Städten studiert werden, u.a. Graduates of this program are well situated for graduate programs in Mathematics, post-Bachelor professional programs (Education, Law, Medicine, Business, etc. Mathematical and Computational Science (MCS) has been since the 1970's Stanford's home for students interested in deploying analytical and quantitative thinking to tackle problems in science, industry, and society. Seasonal Time Series and Spectral Analysis are also covered. PREREQUISITE: AMS 2510 Analytics Major, specializing in Business Analytics. A bachelor's degree in computational mathematical sciences is one of the most versatile math degrees, offering students many career options. Topics include traditional and agile process models, project costing, scheduling, team organization and management, requirements modelling/specification, software design, software verification and testing, and re-engineering. An introduction to C++ for java programmers. Restricted to students enrolled in the Major in Computer Science with a Specialization in Video Game Programming. Scientific computing and mathematical modeling (both deterministic and stochastic) are fundamental tools for the solution of problems arising in the study of complex systems, whether originating from the physical, chemical, or biological sciences, or of an economic and social nature. They include issues such as: In the early days, these numerical methods and models and the corresponding software tools were primarily developed by practitioners in the application area (for example, by engineers, scientists, finance graduates). This course provides students with experience in writing mathematical arguments. Computer Science Thanks to the common courses and faculty across four departments, MCS students acquire a solid foundation in mathematics, computer science, probability, statistics and optimization. PREREQUISITE: Math 3010 and CS 1910 or equivalent This course emphasizes the theory, methods and tools employed in developing medium to large-scale software which is usable, efficient, maintainable, and dependable.
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