PREREQUISITE: AMS 3310 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. To declare the major, a student should first meet with an MCS peer advisor to create a proposed study plan and then with the MCS student services officer to discuss the major. CS – for Computer Science courses Introduction to ring and field theory, including: polynomial rings, matrix rings, ideals and homomorphisms, quotient rings, Chinese remainder theorem, Euclidean domains, principal ideal domains, unique factorization domains, introduction to module theory, basic theory of field extensions, splitting fields and algebraic closures, finite fields, introduction to Galois theory. Semester hours of credit: 4, 2420 COMBINATORICS I An introduction to the methods and applications of linear programming. The First-year Calculus courses for most science students are Math 1910 and Math 1920. Sami Khedhiri, Associate Professor Students obtain employment in a relevant industrial or research activity to enhance their professional experience. data science (including machine learning). Liberal Arts & Sciences, The College of. PREREQUISITE: Math 2610 This course is an introduction to Wireless Sensor Networks. This course is an introduction to the branch of probability theory that deals with the analysis of systems that evolve over time. Three lecture hours per week, 4020 POINT-SET TOPOLOGY Four lecture hours per week PREREQUISITE: Grade XII academic Mathematics About the University of Prince Edward Island, 15. Pitches are made at the conclusion of CS 3840. Include their name, degree and the title of their work. This course examines techniques for detecting patterns in sets of uncategorized data. Three lecture hours per week, 3520 OPERATING SYSTEMS ARIMA models. This test is of 90 minutes duration and is given during the first week of classes. DVM Application Procedure/Documents Required, Applicants with Ordinary or Advanced Level Examinations, APPLIED CLIMATE CHANGE AND ADAPTATION COURSES, APPLIED COMMUNICATION, LEADERSHIP, AND CULTURE COURSES, CO-OP EDUCATION IN APPLIED HUMAN SCIENCES, Accelerated Bachelor of Business Administration Program, Bachelor of Business in Tourism and Hospitality, DIVERSITY AND SOCIAL JUSTICE STUDIES CORE COURSES, Bachelor of Education—français langue seconde, Certificate in Educational Leadership in Nunavut, Faculty of Sustainable Design Engineering, CO-OP EDUCATION IN MATHEMATICAL AND COMPUTATIONAL SCIENCES, APPLIED MATHEMATICAL SCIENCE COURSES (AMS PREFIX), MATHEMATICAL AND COMPUTATIONAL SCIENCES COURSES (MCS PREFIX), Accelerated Bachelor of Science in Nursing Program, International Refund Rules and Procedures, English Language Proficiency Requirements, Master of Science (MSc), Master of Veterinary Science (MVSc), and Doctor of Philosophy (PhD), Master of Applied Health Services Research (MAHSR), Executive Master of Business Administration (Executive MBA), Master of Business Administration (MBA) in Global Leadership, Doctor of Philosophy in Educational Studies (PhD), Master of Science, Master of Veterinary Science, Master of Arts, and Doctor of Philosophy, PhD in Educational Studies and Master of Education (Leadership in Learning), Master of Applied Health Services Research, MSc Program (Faculty of Veterinary Medicine), MOLECULAR AND MACROMOLECULAR SCIENCES (MMS) COURSES, SUSTAINABLE DESIGN ENGINEERING (SDE) COURSES, MOLECULAR AND MACROMOLECULAR SCIENCES COURSES (PHD), Introduction to Probability and Statistics, Professional Communication and Practice (writing-intensive), Tutoring in Mathematical and Computational Sciences, Five electives in the Mathematical and Computational Sciences, (at the 2000 level or higher with at least two at the 3000 level or higher), Probability and Mathematical Statistics I, Probability and Mathematical Statistics II, Two electives in the Mathematical and Computational Sciences, CS 2520 Computer Organization and Architecture, CS 2620 Comparative Programming Languages, One of CS 4820 Software Systems Development Project, One elective in Mathematical and Computational Sciences (at the 2000 level or higher), Additional general electives…if CS 4820 taken, Short-term Insurance Pricing and Reserving, MATH 2910 Multivariable and Vector Calculus, At least one of MCS 2010 MAPLE Technology Lab, MCS 2020 Matlab Technology Lab OR MCS 2030 R Technology Lab, Two electives in the Mathematical and Computational Sciences (at the 3000 level or higher), ACCT 1010 Introduction to Financial Accounting, MCS 421Professional Communication and Practice, CS 3130 Mobile Device Development- Android, CS 4360 Advanced Computer Graphics Programming, At least one of MCS 2010 MAPLE Technology Lab OR MCS 2020 Matlab Technology Lab, STAT 3210 Probability and Mathematical Statistics I, Four electives in the Mathematical and Computational Sciences (at the 2000 level or higher, with at least two at the 4000 level or higher), Two electives in the Mathematical and Computational Science (at the 3000 level or higher), At least one of CS 4110 Artificial Intelligence and Automated Reasoning OR CS 4120 Machine Learning, Three electives in the Mathematical and Computational Sciences (at the 2000 level or higher). An introduction to the software package R. Topics include the basic functions and commands, programming and problem-solving using R. The format of this course will be a mix of lectures, seminar-style discussions, and student presentations. Three lecture hours per week, 4810 SOFTWARE ENGINEERING Semester hours of credit: 4 The Major in Computer Science requires a total of 120 semester hours of credit, as described below: REQUIREMENTS FOR A MAJOR IN ACTUARIAL SCIENCE Course transfer credit is subject to department evaluation and to the Office of the Registrar's external credit evaluation. Computational Mathematical Sciences (BS) Three lecture hours per week, 4350 COMPUTER GRAPHICS PROGRAMMING The links with linear and integer programming will also be considered, with particular attention to duality. PREREQUISITE: CS 1920 and six hours of Mathematics The course covers: compilation phases, lexical analysis, parsing, scope rules, block structure, symbol tables, run-time heap and stack management, code generation, pre-processing, compiler-compilers, and translation systems. Three lecture hours per week plus a one-hour lab per week, 4780 QUANTITATIVE RISK MANAGEMENT Three lecture hours per week, 4620 RING AND FIELD THEORY CS 2920 Data Structures and Algorithms (3 credits), Plus 3 semester hours of credit in Computer Science at the 3000 level or higher, and an additional 6 semester hours of credit in Computer Science at the 2000 level or higher. PREREQUISITES: CS 1920 All Rights Reserved. Submenu, Show Three lecture hours per week. This course introduces the fundamental concepts necessary for the design, use and implementation of database systems. Three lecture hours per week, 4610 WIRELESS SENSOR NETWORKS The course applies object-oriented design principles through the use of UML. The tools of differential calculus are applied to problems in: related rates; velocity and acceleration; extrema of functions; optimization; curve sketching; and indeterminate forms. The School of Mathematical and Computational Sciences at UPEI provides students with a strong foundation in Mathematics, Statistics and Computer Science, and offers a comprehensive suite of applied programs which meet market demand and lead to fulfilling careers in areas such as: Financial Mathematics, Actuarial Science, Data Analytics, Business Analytics and Video Game Programming. Sequences, series, tests for convergence, Taylor series and Taylor polynomials are studied. PREREQUISITE: AMS 3510 and STAT 3910 Three lecture hours per week, 3430 COMBINATORICS II Three lecture hours per week, 2820 MATHEMATICAL PHYSICS Additional Courses for the Statistics Track: The student's work must demonstrate in-depth learning of a topic or shared idea in the breadth of the MCS major (examples are on MCS webpage), and all students are held to. Topics include real and complex vector spaces, orthogonality, Gram-Schmidt Process, canonical forms, spectral decompositions, inner product spaces and the projection theorem. English Language Proficiency Requirements, IV. A first course in topology, covering some review of set theory; cardinal numbers; binary relations; metric spaces, convergence and continuity in metric spaces; topological spaces, bases, sub- spaces; continuity in general; homeomorphism; product spaces; separation axioms; compactness; connectedness. 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. Topics include attainable payoffs, arbitrage, completeness, the law of one price, first and second Fundamental Theorems of Asset Pricing, introduction to discrete-time stochastic calculus, conditional expectations, risk-neutral martingale measures, dynamic replication in the binomial model for European, American and exotic options, general multi-asset multi-period models. Three lecture hours per week, 3210 USER EXPERIENCE DESIGN This course focuses on the process from initial idea to final design of a video game. It also introduces complexity analysis and complexity classes. This course builds on AMS 4600 and covers more advanced topics of the predictive model building process in R including a project and final report. Other topics include confidentiality, message authentication, public and private keys, digital signatures, and security. This course provides students with an opportunity to pursue advanced topics in the Mathematical and Computational Sciences Content varies from year to year but is always at a fourth-year level. PREREQUISITE: CS 2520 and CS 2920 Students will be introduced to a variety of different qualities of interactive technologies including usability and user experience. 1120 CALCULUS FOR THE MANAGERIAL, SOCIAL AND LIFE SCIENCES Accelerated Bachelor of Science in Nursing, 29. © 2020-21 Stanford University. Topics include parametric representation of curves; polar coordinates; vectors; dot and cross products; curves and surfaces in space; calculus of vector-valued functions; functions of several variables; partial differentiation; directional derivatives; tangent planes; local and constrained maxima and minima; double and triple integrals; changes of variables in multiple integrals; vector fields; line and surface integrals; gradient, divergence and curl; Green’s, Stokes’ and Divergence Theorems. Dies können LehrerInnen schnell und einfach einsetzen. More information can be found on the MCS Honors Website. Students will learn how to evaluate their own designs through expert methods and with users. Topics include the basic functions and commands, programming and problem-solving using MAPLE. an understanding of computer applications emphasizing modern software engineering principles. See the Associate Dean of the School of Mathematical and Computational Sciences for details. 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.