cmu computer science courses

2 enero, 2021

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The firm grounding in the fundamentals is aimed at providing students the flexibility to build and analyze models from diverse applications as well as preparing the interested student for advanced work in these areas. From the computational side this course focuses on modern machine learning methodologies for computational problems in molecular biology and genetics, including probabilistic modeling, inference and learning algorithms, pattern recognition, data integration, time series analysis, active learning, etc. The mathematical and computational notions and results are among the most significant contributions of logic, not just to the solution of internal logical questions and to the foundations of computer science, but also to (the beginnings of) a deeper understanding of the human mind and mental processes. The courses listed below are relevant for computer science majors as required courses or constrained electives. Electrical and Computer Engineering. Students and instructors will solve different problems each week by searching the Web and other likely places for answers. 3) Molecular and regulatory evolution, focusing on phylogene tic inference and regulatory network evolution, and 4) Systems biology, concerning how to combine sequence, expression and other biological data sources to infer the structure and function of different systems in the cell. The M.S.-SE program does offer the possibility of taking courses in a variety of computing fields, including computer science, cyberphysical systems, mobile computing, security and privacy, data science, machine learning, and artificial intelligence, but its main orientation is software engineering. ... Central Michigan University Global Campus Global Campus MI 48859 … It is designed for students in electrical and computer engineering. Students will apply their knowledge in programming assignments using a very high-level programming language for sound synthesis and composition. Computer Science Prepare for a career in software development or web development with online programming courses and programs. Examples are drawn from algorithms, complexity theory, game theory, probability theory, graph theory, automata theory, algebra, cryptography, and combinatorics. Course Level: ... Notes: Students must achieve a C or better in order to use this course to satisfy the pre-requisite for any subsequent Computer Science course. In particular, we will introduce some high-level languages (e.g., regular expressions and Dyna) and some scripting languages (e.g., Python and Perl) that can greatly simplify prototype implementation. Computer Science. This course may be taken at most 3 times for a total of 9 units maximum. Teacher: Robert Guderian; You are currently using guest access . 15-122 Principles of Imperative Computation Fall and Spring: 10 units For students with a basic understanding of programming (variables, expressions, loops, arrays, functions). 15-221 Technical Communications for Computer Scientists (Doha, Qatar) Spring: 9 units The course is designed for sophomore computer science majors to improve their abilities in practical, professional communications (both written and oral). 21-325 Probability Fall: 9 units This course focuses on the understanding of basic concepts in probability theory and illustrates how these concepts can be applied to develop and analyze a variety of models arising in computational biology, finance, engineering and computer science. The School of Computer Science is regarded as one of the best places in the world to get a graduate degree in computer science.SCS offers a wide range of professional and academic Master's programs, a number of Ph.D. programs, and several interdisciplinary tracks. CMU 15-211 or Pitt CS 1501;at other universities this may be either one or two courses) Algorithms (e.g., CMU 15-451 or Pitt CS 1501) We also expect students to acquire a strong appreciation of the big-picture aspects of developing fully autonomous intelligent agents. Topics include naming shared data, synchronizing threads, and the latency and bandwidth associated with communication. 15-151 Mathematical Foundations of Computer Science Fall: 10 units This course is offered to incoming Computer Science freshmen and focuses on the fundamental concepts in Mathematics that are of particular interest to Computer Science such as logic, sets,induction, functions, and combinatorics. 15-354 Computational Discrete Mathematics Fall: 12 units This course is about the computational aspects of some of the standard concepts of discrete mathematics (relations, functions, logic, graphs, algebra, automata), with emphasis on efficient algorithms. Prerequisites: 21-122 and (15-251 or 21-228). Assignments involve both mathematical proofs and programming. Prerequisite: 15-251 or 21-228. The School of Computer Science offers bachelor's degrees in computational biology, computer science and, starting in fall 2018, artificial intelligence. NOTE: students must achieve a C or better in order to use this course to satisfy the pre-requisite for any subsequent Computer Science course. 15-210 Parallel and Sequential Data Structures and Algorithms Fall and Spring: 12 units Teaches students about how to design, analyze, and program algorithms and data structures. Home. Students in all of our degree programs are expected to complete a challenging rotation of courses from the Carnegie Mellon School of Computer Science in addition to acquiring a rigorous biological grounding. Undergraduate Courses; ... Calendar; CompSci Edocument; Score Reporting System; Computer Science. Talks range from historical perspectives in the field to descriptions of the cutting edge research being conducted in the School of Computer Science. This course uses experimentation and collaboration as ways to gain better understanding of the material. 36-225 Introduction to Probability Theory Fall: 9 units This course is the first half of a year long course which provides an introduction to probability and mathematical statistics for students in economics, mathematics and statistics. The course does not meet for lecture or recitations. Topics covered in depth include permutations and combinations, generating functions, recurrence relations, the principle of inclusion and exclusion, and the Fibonacci sequence and the harmonic series. The PDF will include all information unique to this page. Introductory Computer Science Education at Carnegie Mellon University: A Deans' Perspective Randal E. Bryant Klaus Sutner Mark J. Stehlik August, 2010 CMU-CS-10-140 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Abstract The School of Computer Science at Carnegie Mellon Universit y is planning major revisions to Prerequisite: 15-251 or 21-228. 15-381 Artificial Intelligence: Representation and Problem Solving Fall: 9 units This course is about the theory and practice of Artificial Intelligence. 15-441 Computer Networks Fall: 12 units The emphasis in this course will be on the basic performance and engineering trade-offs in the design and implementation of computer networks. The mathematical solutions of these problems involve a rigorous concept of computability or calculability that turned out to be fundamental for computer science, but also cognitive science. Prerequisite: 21-112 or 21-122 or 21-123 or 21-256 or 21-259. Master of Science in Computer Science, Central Michigan University. ... Carnegie Mellon University. So far, two of the courses are available in Spanish and one in German. Prerequisite: 76-101. Sophomores will likely find the course more useful if they have either had an internship or faculty-supervised research, including SURG projects prior to enrollment. But instead of being confined to real- or complex-valued functions, the functional model extends the algebraic view to a very rich class of data types, including not only aggregates built up from other types, but also functions themselves as values. *work with probabilities (Bayes rule, conditioning, expectations, independence), linear algebra (vector and matrix operations, eigenvectors, SVD), and calculus (gradients, Jacobians) to derive machine learning methods such as linear regression, naive Bayes, and principal components analysis. CMU CS Academy Computer science curriculum: free for all, designed for you. Some of the topics to be covered are intuitionistic logic, inductive definitions, functional programming, type theory, realizability, connections between classical and constructive logic, decidable classes. Programs include sought after … Topics to be covered: complex numbers, real and complex vectors and matrices, rowspace and columnspace of a matrix, rank and nullity, solving linear systems by row reduction of a matrix, inverse matrices and determinants, change of basis, linear transformations, inner product of vectors, orthonormal bases and the Gram-Schmidt process, eigenvectors and eigenvalues, diagonalization of a matrix, symmetric and orthogonal matrices. Computer science curriculum: free for all, designed for you. Topics related to software artifacts include design models, patterns, coding, static and dynamic analysis, testing and inspection, measurement, and software architecture and frameworks. (Laptops will be available for those without their own laptops.). This includes both core CS technical knowledge and the means by which this knowledge can be applied in the practical engineering of complex software. Launched in 2018 by Kosbie and CMU colleague Mark Stehlik, Carnegie Mellon University’s Computer Science Academy (CMU CS Academy) is a rigorous online computer science program that has reached more than 5,600 teachers and mentors and 61,000 students around the world, giving a boost to schools that have limited opportunities to offer students courses in computer science and programming. Other topics may include: basic model theory, intuitionistic, modal, and higher-order logics. 21-127 is strongly recommended. Prerequisite: 15-213. Prerequisite: 21-241 or 21-242. Topics covered include syntactic and lexical analysis, handling of user-defined types and type-checking, context analysis, code generation and optimization, and memory management and run-time organization. Topics discussed include a basic introduction to elementary number theory, induction, the algebra of sets, relations, equivalence relations, congruences, partitions, and functions, including injections, surjections, and bijections. Up-to-date course listings and descriptions for SCS courses are available on the CMU Schedule of Classes website.To search for course information, please click here. Open to CS freshmen only (Fall 2012 and Fall 2013). The CMU CS Academy curriculum includes four courses that leverage the expertise of CMU's top-ranked computer science school but are geared for use by a range of students, from those in middle school and afterschool programs to high school students. This sample plan does not indicate required courses or guidelines for selecting electives: you can find this information on the program’s curriculum page. This course is for students not in the computer science major or minor who are interested in advanced data structures. We first discuss predicate logic and systematic ways of constructing proofs; that is followed by the formal development of elementary set theory. Because modern NLP relies so heavily on Machine Learning, we'll cover the basics of discrete classification and probabilistic modeling as we go. 21-341 Linear Algebra Fall and Spring: 9 units A mathematically rigorous treatment of Linear Algebra over an arbitrary field. We will study modern techniques for computers to represent task-relevant information and make intelligent (i.e. Assignments include technical definitions, descriptions, instructions, process explanations, abstracts, memos, and research reports. In a standard algorithms course, one concentrates on giving resource efficient methods to solve interesting problems. Key Topics: Run time analysis Divide-and-conquer algorithms Dynamic programming algorithms Network flow algorithms Linear and integer… Read more A grade of C or better is required in order to advance to 36-226 and 36-410. Course work includes lectures, class discussion, homework, class presentations, and group project. CMU also offers mini-courses that run for half of a semester and are 6 units each. 15-122: Principles of Imperative Computation (requires 21-127 as a co-req) 15-150: Principles of Functional Programming. Here's how the curriculum breaks down. Students will learn the process and concepts needed to go from high-level descriptions of algorithms to correct imperative implementations, with specific application to basic data structures and algorithms. Some elementary ideas in spectral analysis and information theory will be given. CMU 15-111) Fundamental Data Structures and Algorithms (e.g. Tepper School of Business. Good computational linguists also know about Linguistics, so topics in linguistics (phonology, morphology, and syntax) will be covered when fitting. Bachelor of Science in Computer Science The Bachelor of Science program in Computer Science combines a solid core of Computer Science courses with the ability to gain real depth in another area through a required minor in a second subject. 02-201 Programming for Scientists. There are over 45 courses relevant to these areas that are now offered by eight different departments in four different colleges at Carnegie Mellon (the School of Computer Science, the Dietrich College of Humanities and Social Sciences, and the College of Fine Arts, and the Tepper School of Business). Computer Science Prepare for a career in software development or web development with online programming courses and programs. Representations of music as explicitly timed event sequences will be introduced, and students will learn how to build efficient run-time systems for event scheduling, tempo control, and interactive processing. Complete Schedule; Feedback; Search for Courses. Each academic discipline within the department is organized into a program. NOTE: students must achieve a C or better in order to use this course to satisfy the pre-requisite for any subsequent Computer Science course. Email: hciiwebmaster [at] cs.cmu.edu Fax: 412-268-1266. Toggle Navigation. Corequisite: 21-127 or 15-151. Students are required to write a one-page summary statement prior to registration that explains how their internship connects with their CS curriculum, specifically on how it uses material they have learned as well as prepares them for future courses. This course is designed to give undergraduate students a one-semester-long introduction to the main principles, algorithms, and applications of machine learning. Prerequisite: 15-300. We will cover many classical geometric constructions and novel algorithmic methods. www.cmu.edu. 15-323 Computer Music Systems and Information Processing Spring: 9 units This course presents concepts and techniques for representing and manipulating discrete music information, both in real time and off line. The MIDI protocol is used to capture real-time performance information and to generate sound. This course provides a hands-on introduction to many of the most important ideas used in symbolic mathematical computation, which involves solving system of polynomial equations (via Groebner bases), analytic integration, and solving linear difference equations. *select and apply an appropriate supervised learning algorithm for regression problems (e.g., linear regression, ridge regression). For detailed information on degrees, courses, faculty and research please click the relevant program's link in the navigation bar on the left. Computational support for some of the material is available in the form of a Mathematica package. Work is done in two-person teams, and "team programming" skills (source control, modularity, documentation) are emphasized. Up-to-date course listings and descriptions for SCS courses are available on the CMU Schedule of Classes website.To search for course information, please click here. 17-801 Dynamic Network Analysis (PhD level) - offered Spring 2020** 17-685 Dynamic Network Analysis (Masters level) - offered Spring 2020** It is one of the very few mathematical areas where one is always close to interesting unsolved problems. We create novel, world-class Computer Science education for your classroom —and it’s entirely free. One major theme is the interplay between inductive types, which are built up incrementally; recursive functions, which compute over inductive types by decomposition; and proof by structural induction, which is used to prove the correctness and time complexity of a recursive function. 15-214 Principles of Software Construction: Objects, Design, and Concurrency Fall and Spring: 12 units Software engineers today are less likely to design data structures and algorithms from scratch and more likely to build systems from library and framework components. We will cover theory as well as practical application of ideas from Human-Computer Interaction. B.S. CMU-wide courses. 80-311 Undecidability and Incompleteness Spring: 9 units This course focuses on two central problems of mathematical logic: the undecidability of predicate logic (established by Church and Turing) and the incompleteness of formal theories (discovered by GÃ¶del for theories that contain a modicum of set or number theory). Please note that many courses have prerequisites or corequisites, documented in CMU’s course catalog. Thesis prospectus is required and must be approved before student can start research. 02-510 Computational Genomics Spring: 12 units Dramatic advances in experimental technology and computational analysis are fundamentally transforming the basic nature and goal of biological research. Topics to be covered include: network architecture, routing, congestion/flow/error control, naming and addressing, peer-to-peer and the web, internetworking, and network security. CMU 03-330 or Pitt BIOSC 0350) Computer Science Intermediate Programming (e.g. Prerequisites: (15-122) and (21-122) and (15-251 or 21-241 or 18-202). Near the end of the internship, students will be required to submit a reflection paper that describes the work they did in more detail, including lessons learned about the work experience and how they utilized their CS education to work effectively. This course has a strong technical focus, and will include both written and programming assignments. Prerequisite: 15-112. 15-453 Formal Languages, Automata and Complexity Spring: 9 units An introduction to the fundamental ideas and models underlying computing: finite automata, regular sets, pushdown automata, context-free grammars, Turing machines, undecidability, and complexity theory. This course will focus on core representations and algorithms, with some time spent on real-world applications. Social Media Directory. The core experience is writing a small Unix-inspired OS kernel, in C with some x86 assembly language, which runs on a PC hardware simulator (and on actual PC hardware if you wish). Prerequisite: 15-251. NOTE: students must achieve a C or better in order to use this course to satisfy the pre-requisite for any subsequent Computer Science course. Topics covered include: machine-level code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation. This course is an introduction to designing, prototyping, and evaluating user interfaces. ... Carnegie Mellon School of Computer Science 5000 Forbes Avenue Pittsburgh, PA 15213 Legal Info | www-team@cs.cmu.edu. In this course, students engage with concepts related to the construction of software systems at scale, building on their understanding of the basic building blocks of data structures, algorithms, program structures, and computer structures. Prerequisites: (15-121 or 15-122) and (21-127 or 15-151). Corequisite: 15-359 or 36-217 or 36-225 or 21-325. Prerequisite: 15-451. Prerequisite: 15-251 or 80-210 or 80-211 or 80-212. Prerequisite: 21-122. Formal approaches to defining the syntax and semantics are used to describe the fundamental concepts underlying programming languages. We expect that by the end of the course students will have a thorough understanding of the algorithmic foundations of AI, how probability and AI are closely interrelated, and how automated agents learn. Prerequisites: (15-112) and (21-127 or 15-151). Not open to students who have received credit for 36-217 or 36-625. Required CS Courses. Each Carnegie Mellon course number begins with a two-digit prefix that designates the department offering the course (i.e., 76-xxx courses are offered by the Department of English). 15-451 Algorithm Design and Analysis Fall and Spring: 12 units In this coruse, we study specific algorithms for a variety of problems, as well as general design and analysis techniques. 21-259 Calculus in Three Dimensions Fall and Spring: 9 units Vectors, lines, planes, quadratic surfaces, polar, cylindrical and spherical coordinates, partial derivatives, directional derivatives, gradient, divergence, curl, chain rule, maximum-minimum problems, multiple integrals, parametric surfaces and curves, line integrals, surface integrals, Green-Gauss theorems. Prerequisites: 15-210 and 15-251. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below. 15-313 Foundations of Software Engineering Fall: 12 units Students gain exposure to the fundamentals of modern software engineering. See the Undergraduate Catalog for information about additional SCS courses including available electives. These topics are used as a context in which students learn to formalize arguments using the methods of mathematical proof. There have already been a number of well publicized errors like the Intel Pentium floating point error and the Arian 5 crash. These include parallel algorithms, randomized algorithms, geometric algorithms, low level techniques for efficient programming, cryptography, and cryptographic protocols. Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Topics to be covered: complex numbers, real and complex vectors and matrices, rowspace and columnspace of a matrix, rank and nullity, solving linear systems by row reduction of a matrix, inverse matrices and determinants, change of basis, linear transformations, inner product of vectors, orthonormal bases and the Gram-Schmidt process, eigenvectors and eigenvalues, diagonalization of a matrix, symmetric and orthogonal matrices, hermitian and unitary matrices, quadratic forms. 21-122 Integration and Approximation Fall and Spring: 10 units Integration by trigonometric substitution and partial fractions; arclength; improper integrals; Simpson's and Trapezoidal Rules for numerical integration; separable differential equations, Newton's method, Euler's method, Taylor's Theorem including a discussion of the remainder, sequences, series, power series. satisficing or optimal) decisions towards the achievement of goals. Prerequisite: 15-122. Undergraduate courses offered in the Computational Biology Department. MCS students do more than study science. 15-455 Undergraduate Complexity Theory Fall: 9 units Complexity theory is the study of how much of a resource (such as time, space, parallelism, or randomness) is required to perform some of the computations that interest us the most. Prerequisite: 15-213. Teaches imperative programming and methods for ensuring the correctness of programs. Gift Helps Provide Free, Online Computer Science Curriculum for Middle and High School Students. Prerequisites: 21-259 or 21-268 or 21-269. After completing the course, students will be able to: *select and apply an appropriate supervised learning algorithm for classification problems (e.g., naive Bayes, perceptron, support vector machine, logistic regression). Students will also match up with a faculty mentor for a potential Technology Innovation Project (to be performed in the Spring), put together a detailed plan of attack for that project, and start to get up to speed (including background reading, etc.). Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. 21-242 Matrix Theory Fall and Spring: 10 units An honors version of 21-241 (Matrix Algebra and Linear Transformations) for students of greater aptitude and motivation. 16-384 Robot Kinematics and Dynamics Fall: 12 units Foundations and principles of robotic kinematics. Computing is a discipline with strong links to many fields, and our program gives … International students should consult with the Office of International Education for appropriate paperwork and additional requirements before registration. Human-Computer Interaction Institute Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213. In this course we will start by discussing classic biologically motivated algorithms including … Units earned count toward the total required units necessary for degree completion; students should speak with an academic advisor for details. 21-300 Basic Logic Fall: 9 units Propositional and predicate logic: Syntax, proof theory and semantics up to completeness theorem, Lowenheim Skolem theorems, and applications of the compactness theorem. Amazon Donates $2 Million to CMU Computer Science Academy Gift Helps Provide Free, Online Computer Science Curriculum for Middle and High School Students. Two required SCS courses, 1 taken each of the first 2 semesters: Non-computer science students can put computer programming in a relevant context by focusing on media, such as images, audio, and interactive systems. In this course we will study tools for finding and preventing logical errors. As a Civil and Environmental Engineering graduate student, you have the option to mix and match semester-length courses and mini-courses to complete your 96-unit degree requirement. The curriculum also gives you numerous choices for science and humanities courses. Prerequisite: 15-213. Phone: 412-268-2565 Fax: 412-268-5576 . Front-End Web Developer CAREER TRAINING PROGRAM. CMU 03-231/03-232 or Pitt BIOSC 1000) Genetics (e.g. *recognize different types of unsupervised learning problems, and select and apply appropriate algorithms (e.g., clustering, linear and nonlinear dimensionality reduction). Undergraduate Programs. Launched in 2018 by Kosbie and CMU colleague Mark Stehlik, Carnegie Mellon University’s Computer Science Academy (CMU CS Academy) is a rigorous online computer science program that has reached more than 5,600 teachers and mentors and 61,000 students around the world, giving a boost to schools that have limited opportunities to offer students courses in computer science and programming. Core Software Engineering Courses. Even so, it is a fast-paced and rigorous preparation for 15-122. Additional topics may include existence proofs, partitions, finite calculus, generating combinatorial objects, Polya theory, codes, probabilistic methods. Prerequisite: 15-214. In this course we will discuss classical approaches and latest methodological advances in the context of the following biological problems: 1) Computational genomics, focusing on gene finding, motifs detection and sequence evolution.2) Analysis of high throughput biological data, such as gene expression data, focusing on issues ranging from data acquisition to pattern recognition and classification. This Fall course is the first part of a two-course sequence that is designed to help prepare students to invent the future state-of-the-art in the field of computer science. 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Minors, Dietrich College Interdisciplinary Courses, Heinz College of Information Systems and Public Policy, Department of Biological Sciences Courses, Department of Mathematical Sciences Courses, Minors Offered by the Mellon College of Science, Undergraduate Business Administration Program, Undergraduate Business Administration Program Courses, Carnegie Mellon University-Wide Studies Courses, http://www.cbd.cmu.edu/education/undergraduate-courses/introduction-to-computational-biology/, http://www.compbio.cmu.edu/news-and-events/seminar-series-2019-2020/, https://sites.google.com/site/automationofbiologicalresearch/, https://sites.google.com/site/computationalmedicinecmu/, http://compeau.cbd.cmu.edu/programming-for-scientists/, https://sites.google.com/site/cellandsystemsmodeling/, https://sites.google.com/site/automationofbiologicalresearch/?pli=1, https://csd.cs.cmu.edu/course-profiles/15-090-Computer-Science-Practicum, https://csd.cs.cmu.edu/course-profiles/15-104-Introduction-to-Computing-for-Creative-Practice, http://www.cs.cmu.edu/~mjs/121/index.html, http://www.cs.cmu.edu/afs/cs/academic/class/15394u-s18/, https://csd.cs.cmu.edu/course-profiles/15-319-619-Cloud-Computing, https://www.andrew.cmu.edu/course/18-330/, https://www.csd.cs.cmu.edu/course-profiles/15-351-Algorithms-and-Advanced-Data-Structures, http://www.cs.cmu.edu/~harchol/15359/class.html, https://www.securecoding.cert.org/confluence/display/sci/15392+Secure+Programming, https://csd.cs.cmu.edu/course-profiles/15-394-Intermediate-Rapid-Prototyping, https://www.csd.cs.cmu.edu/course-profiles/15-410_605-Operating-System-Design-and-Implementation, https://csd.cs.cmu.edu/course-profiles/15-411_611-compiler-design, https://www.composablesystems.org/15-440/fa2020/, https://www.csd.cs.cmu.edu/course-profiles/15-451-Algorithm-Design-and-Analysis, http://graphics.cs.cmu.edu/courses/15-463/, http://graphics.cs.cmu.edu/courses/15-469K-s19/, 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http://www.hcii.cmu.edu/courses/rapid-prototyping-computer-systems, http://www.hcii.cmu.edu/courses/undergraduate-project-hci, https://www.hcii.cmu.edu/academics/courses, http://www.hcii.cmu.edu/courses/interaction-design-studio, http://www.learnlab.org/research/wiki/index.php/E-learning_Design_Principles_2013#Course_Details, http://www.cs.cmu.edu/~aldrich/courses/17-355-18sp/, http://www.cs.cmu.edu/~aldrich/courses/17-396/, http://euro.ecom.cmu.edu/program/courses/tcr17-803, http://spoke.compose.cs.cmu.edu/methods-fall-05/res/bib.htm, http://mse.isri.cmu.edu/software-engineering/documents/syllabi/17-653_F15_MSD_Syllabus.pdf, http://boston.lti.cs.cmu.edu/classes/11-642/, https://forensics-ai.github.io/gh-syllabus/, https://luimagroup.github.io/appliedlegalanalytics/, http://www.lti.cs.cmu.edu/Courses/11-724-desc.htm, https://piazza.com/cmu/fall2018/11777/home, https://cmudeeprl.github.io/Spring202010403website/, https://sailinglab.github.io/pgm-spring-2019/lectures/, https://www.cs.cmu.edu/~nihars/teaching/10715-Fa20/index.html, http://www.stat.cmu.edu/~ryantibs/convexopt/, http://www.cs.cmu.edu/~ninamf/courses/806/10-806-index.html, https://www.andrew.cmu.edu/user/jweiss2/mlp/, http://www.cs.cmu.edu/~neill/courses/90921-S10.html, http://www.cs.cmu.edu/~cga/humanoids-ugrad/, http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/16311/www/current/, http://www.cs.cmu.edu/~maxim/classes/robotplanning/, http://www.frc.ri.cmu.edu/~alonzo/teaching/16x62/16x62.html, http://www.cs.cmu.edu/~ILIM/courses/vision-sensors/, http://www.cs.cmu.edu/~galeotti/methods_course/, http://ideate.cmu.edu/about-ideate/departments/robotics-institute/reality-computing/, http://www.cs.cmu.edu/afs/cs/academic/class/16741-s07/www/index.html, http://www.frc.ri.cmu.edu/~alonzo/teaching/16-761/16-761.html, http://www.ece.cmu.edu/courses/items/18578.html, http://www.cs.cmu.edu/afs/cs/academic/class/16823-f06/, http://graphics.cs.cmu.edu/courses/16-824/2017_spring/, http://frc.ri.cmu.edu/~kaess/teaching/16833/Spring2018, http://graphics.cs.cmu.edu/nsp/course/16899-s18/, https://sites.google.com/view/16-881-cmu/home?authuser=0, http://www.cs.cmu.edu/~cliu6/provably-safe-robotics.html, CMU Describe what they have accomplished School of Computer Science seminar course... creed, ancestry, belief, veteran or!, veteran status or genetic information course as a co-req ) 15-150: principles of Functional programming Fall and:... Equipment, completing a revolution that began with recording and processing equipment, completing a revolution that began with and! Portability and robustness major or minor who are interested in studying Abroad should first contact Office! As a context in which students learn to formalize arguments using the methods of mathematical proof of goals BIOSC ). To use emphasis will be given majors in Computer Science and final presentation at the CS major including standard... In CMU ’ s entirely free: 21-112 or 21-122 or 21-123 or 21-256 or 21-259 for a of! Performance, portability and robustness the latency and bandwidth associated with communication have replaced studios full sound... Ensuring the correctness of programs an online, graphics-based Computer Science ( ). Or 21-123 or 21-256 or 21-259... Carnegie Mellon University will focus core... Searching, sorting, algorithms, with a brief introduction to programming for students not in field... 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