Non-MPCS students must receive approval from program prior to registering. For up-to-date information on our course offerings, please consult course-info.cs.uchicago.edu. Instructor(s): T. Dupont Terms Offered: Autumn. Some guidelines follow. Dependent types. CMSC 13600. Topics include program design, control and data abstraction, recursion and induction, higher-order programming, types and polymorphism, time and space analysis, memory management, and data structures including lists, trees, and graphs. 100 Units. This sequence, which is recommended for all students planning to take more advanced courses in computer science, introduces computer science mostly through the study of programming in functional (Scheme) and imperative (C) programming languages. This is a non-refundable deposit that will be applied in full to your first tuition bill once you are registered for classes at the University of Chicago. Machine Learning and Large-Scale Data Analysis. The numerical methods studied in this course underlie the modeling and simulation of a huge range of physical and social phenomena, and are being put to increasing use to an increasing extent in industrial applications. Basic counting is a recurring theme. Prerequisite(s): By consent of instructor and approval of department counselor. Prerequisite(s): (CMSC 15200 or CMSC 16200 or CMSC 12200), or (MATH 15910 or MATH 16300 or higher), or by consent. Terms Offered: Winter With a powerful combination of academic research, medical education, and compassionate patient care, the University of Chicago has been at the forefront of medicine since 1927. 100 Units. Students who earn the BS degree build strength in an additional field by following an approved course of study in a related area. Prerequisite(s): CMSC 15400. The course covers both the foundations of 3D graphics (coordinate systems and transformations, lighting, texture mapping, and basic geometric algorithms and data structures), and the practice of real-time rendering using programmable shaders. Formal constructive mathematics. We will introduce the machine learning methods as we go, but previous familiarity with machine learning will be helpful. Regardless of how secure a system is in theory, failing to consider how humans actually use the system leads to disaster in practice. Prerequisite(s): CMSC 20300. The course project will revolve around the implementation of a mini x86 operating system kernel. We cover various standard data structures, both abstractly, and in terms of concrete implementations-primarily in C, but also from time to time in other contexts like scheme and ksh. The course will be taught at an introductory level; no previous experience is expected. Prerequisite(s): CMSC 15400 and one of CMSC 22200, CMSC 22600, CMSC 22610, CMSC 23300, CMSC 23400, CMSC 23500, CMSC 23700, CMSC 27310, or CMSC 23800 strongly recommended. Methods include algorithms for clustering, binary classification, and hierarchical Bayesian modeling. CMSC 22600. CMSC 27600. Students will continue to use Python, and will also learn C and distributed computing tools and platforms, including Amazon AWS and Hadoop. Note(s): Necessary mathematical concepts will be presented in class. Matlab, Python, Julia, R). Weekly problem sets will include both theoretical problems and programming tasks. Summer 100 Units. Like other classic Chicago general education courses, this sequence provides students with both practical programming skills and core ideas in computer science in interdisciplinary applications. It illustrates these principles from physical and biological phenomena. This course can be used towards fulfilling the Programming Languages and Systems requirement for the CS major. These tools have two main uses. Data science provides tools for gaining insight into specific problems using data, through computation, statistics and visualization. Students will be expected to actively participate in team projects in this course. This is a project oriented course in which students will construct a fully working compiler, using Standard ML as the implementation language. Instructor(s): R. Kondor Terms Offered: Winter CMSC 11000-11100. 100 Units. The University of Chicago CMSC 23010. A Pass grade is given only for work of C- quality or higher. Department of Computer Science Department of Mathematics Adjoint Professor, Toyota Technological Institute Research Interests: Theory, Theoretical Computer Science, Discrete Mathematics : Office: Ryerson 257-E Phone: (773) 702-3497 razborov@cs.uchicago.edu. Instructor(s): A. Feldman, A. Shaw Terms Offered: Spring Department of Computer Science 5730 S. Ellis Avenue John Crerar Library Chicago, IL 60637 P: 773.702.6614 F: 773.702.8487 . This course is the first in a three-quarter sequence that teaches computational thinking and skills to students in the sciences, mathematics, economics, etc. The course is also intended for students outside computer science who are experienced with programming and computing with scientific data. There is one approved general program for both the BA and BS degrees, comprised of introductory courses, a sequence in Theory, and a sequence in Programming Languages and Systems, followed by advanced electives. ); internet and routing protocols (IP, IPv6, ARP, etc. They also allow us to formalize mathematics, stating and proving mathematical theorems in a manner that leaves no doubt as to their meaning or veracity. Students may enroll in CMSC 29700 Reading and Research in Computer Science and CMSC 29900 Bachelor's Thesis for multiple quarters, but only one of each may be counted as a major elective. CMSC 23320. This course offers a practical, problem-centered introduction to machine learning. CMSC 28400. Summer The course will involve a substantial programming project implementing a parallel computations. 100 Units. Class discussion will also be a key part of the student experience. Sensing, actuation, and mediation capabilities of mobile devices are transforming all aspects of computing: uses, networking, interface, form, etc. Prerequisite(s): CMSC 15400. Prerequisite(s): CMSC 12200. 100 Units. Prerequisite(s): None 100 Units. Although this course is designed to be at the level of mathematical sciences courses in the Core, with little background required, we expect the students to develop computational skills that will allow them to analyze data. NLP includes a range of research problems that involve computing with natural language. Fax: 773-702-3562. degrees. To earn a BA in computer science any sequence or pair of courses approved by the Physical Sciences Collegiate Division may be used to complete the general education requirement in the physical sciences. Computer Science with Applications III. CMSC 20370. This course meets the general education requirement in the mathematical sciences. Honors Introduction to Complexity Theory. If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. A broad background on probability and statistical methodology as well as a basic proficiency in RStudio will be provided. Join us in our new, state-of-the-art research and teaching facility as we expand computing and data science activities at the University of Chicago. Terms Offered: Autumn Honors Introduction to Computer Science I-II. Students who are interested in the visual arts or design should consider a new course, CMSC 11111 Creative Coding. Equivalent Course(s): STAT 11800. Compilers for Computer Languages. Advances in computer science and statistics have allowed for inferential, simulated, and visual analyses that are now being incorporated into faculty research. The course will involve a business plan, case-studies, and supplemental reading to provide students with significant insights into the resolve required to take an idea to market. Theoretical Computer Science at the University of Chicago Theory Seminar Our seminar is intended to be broad and will (hopefully) cover not only what is traditionally referred to as "core theory", but also many topics at least distantly related to it. Ethics, Fairness, Responsibility, and Privacy in Data Science. Calvin Osborne presented a guest talk to Loyola University Chicago Computer Science students from several sections of Introduction to Object Oriented Programming (Comp 170) on this November 8, 2016. Creative Machines and Innovative Instrumentation. An introduction to the field of Human-Computer Interaction (HCI), with a particular emphasis in understanding and designing user-facing software and hardware systems. Students must be admitted to the joint MS program. ... Access all of the Business, Law, Medicine, Engineering, Nursing and Education School data for University of Illinois--Chicago. 100 Units. Labs expose students to software and hardware capabilities of mobile computing systems, and develop the capability to envision radical new applications for a large-scale course project. CMSC 12200. This course provides an introduction to basic Operating System principles and concepts that form as fundamental building blocks for many modern systems from personal devices to Internet-scale services. 100 Units. We also discuss the Gödel completeness theorem, the compactness theorem, and applications of compactness to algebraic problems. We will explore these concepts with real-world problems from different domains. Mobile computing is pervasive and changing nearly every aspect of society. Nonshell scripting languages, in particular perl and python, are introduced, as well as interpreter (#!) Prerequisite(s): MATH 25400 or 25700; open to students who are majoring in computer science who have taken CMSC 15400 along with MATH 16300 or MATH 16310 or Math 15910 or MATH 15900 or MATH 19900 CMSC 22001. To request enrollment in this course, please add yourself to the waitlist at
. Winter 100 Units. Introduction to Robotics. For students intending to pursue further study in computer science, we recommend CMSC 15100 Introduction to Computer Science I or CMSC 16100 Honors Introduction to Computer Science I as the first course. Prerequisite(s): CMSC 27100, CMSC 27130, or CMSC 37110, or MATH 20400 or MATH 20800. Students should consult course-info.cs.uchicago.edu for up-to-date information. Instructor(s): R. Castro Fernandez, B. Ur Terms Offered: Spring Computer Science. 100 Units. Advanced Distributed Systems. 100 Units. Introduction to Optimization. Instructor(s): S. Kurtz Terms Offered: Spring Terms Offered: Autumn,Spring,Summer,Winter Honors Combinatorics. Instructor(s): Michael J. Franklin, Dan Nicolae Terms Offered: Autumn Come work with us at UChicago CS! The honors version of Theory of Algorithms covers topics at a deeper level. CMSC 23710. Department of Computer Science CMSC 29512. CMSC 23700. We will study computational linguistics from both scientific and engineering angles: the use of computational modeling to address scientific questions in linguistics and cognitive science, as well as the design of computational systems to solve engineering problems in natural language processing (NLP). Terms Offered: Spring Knowledge of Java required. ); internet and routing protocols (IP, IPv6, ARP, etc. Algorithmic questions include sorting and searching, discrete optimization, algorithmic graph theory, algorithmic number theory, and cryptography. This course includes a project where students will have to formulate hypotheses about a large dataset, develop statistical models to test those hypotheses, implement a prototype that performs an initial exploration of the data, and a final system to process the entire dataset. This course covers design and analysis of efficient algorithms, with emphasis on ideas rather than on implementation. Equivalent Course(s): CMSC 27700, Terms Offered: Autumn Prerequisite(s): CMSC 11900, CMSC 12200, CMSC 15200, or CMSC 16200. Prerequisite(s): (CMSC 12300 or CMSC 15400), or MAtH 16300 or higher, or by consent. Winter Besides providing an introduction to the software development process and the lifecycle of a software project, this course focuses on imparting a number of skills and industry best practices that are valuable in the development of large software projects, such as source control techniques and workflows, issue tracking, code reviews, testing, continuous integration, working with existing codebases, integrating APIs and frameworks, generating documentation, deployment, and logging and monitoring. Equivalent Course(s): MAAD 21111. Students learn how to perform in a multi-platform (Mac/Linux/Windows) environment using a high-level prototyping language (revTalk) that allows for the quick creation of useful multimedia applications. Prerequisite(s): MATH 15900 or MATH 25400, or CMSC 27100, or by consent. CMSC 12100-12200-12300. Extensive programming required. The curriculum includes the lambda calculus, type systems, formal semantics, logic and proof, and, time permitting, a light introduction to machine assisted formal reasoning. Terms Offered: Spring Introductory Sequence (three courses required, one course each from areas A, B, and C): The standard paths through the required introductory sequence for computer science majors are: Students may take CMSC 16200 Honors Introduction to Computer Science II (and then CMSC 15400 Introduction to Computer Systems) after completing CMSC 15100 Introduction to Computer Science I with permission of the instructor. The Computer Science program prepares students for either graduate work or employment in computer science by offering both B.A. Instructor(s): K. Mulmuley Terms Offered: Autumn The course will cover algorithms for symmetric-key and public-key encryption, authentication, digital signatures, hash functions, and other primitives. To request enrollment in this course, please add yourself to the waitlist at . Note(s): This course is offered in alternate years. Prerequisite(s): CMSC 15400. Prerequisite(s): CMSC 12300 or CMSC 15400, or MATH 15900 or MATH 25500. This course will examine how to design for security and privacy from a user-centered perspective by combining insights from computer systems, human-computer interaction (HCI), and public policy. CMSC 23300. 100 Units. CS student opportunities. The curriculum builds foundational knowledge of computer science, statistics, and public policy analysis. We are actively working on supporting our students, faculty, and staff during this challenging time. Programming will be based on Python and R, but previous exposure to these languages is not assumed. 100 Units. (Note: Prior experience with ML programming not required.) CMSC 25440. Note(s): If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. The Department of Computer Science offers several different introductory pathways into the program. Equivalent Course(s): MATH 28000. Computer science majors must take courses in the major for quality grades. Basic apprehension of calculus and linear algebra is essential. The aim of the program is for students to acquire the skills to produce successful research in Computer Science. Please refer to the Computer Science Department's website for an up-to-date list of courses that fulfill each specialization, including graduate courses. The Masters Program in Computer Science (MPCS) offers a comprehensive and professionally-oriented computer science education that combines the foundations of computer science with the applied and in-demand skills necessary for careers in technology. Prerequisite(s): CMSC 15400 and knowledge of linear algebra, or by consent. Instructor(s): Staff Terms Offered: Spring Computer Science. Introduction to Computer Security. CMSC 11100. 100 Units. At one end of the spectrum, computer science may be viewed as the formal study of what can be computed and what resources are required for computation. Generally offered alternate years. Relationships between space and time, determinism and non-determinism, NP-completeness, and the P versus NP question are investigated. CMSC 25900. CMSC 23900. Scientific visualization combines computer graphics, numerical methods, and mathematical models of the physical world to create a visual framework for understanding and solving scientific problems. Equivalent Course(s): MATH 28410. This course will focus on analyzing complex data sets in the context of biological problems. 100 Units. CMSC 23310. We strongly encourage all computer science majors to complete their theory courses by the end of their third year. This course will not be offered again. Mathematical Logic I-II. Not offered in 2019-2020. Instructor(s): Sarah Sebo Terms Offered: Winter Note(s): This course meets the general education requirement in the mathematical sciences. It will cover streaming, data cleaning, relational data modeling and SQL, and Machine Learning model training. CMSC 28130. Note(s): First year students are not allowed to register for CMSC 12100. Prerequisite(s): CMSC 11900 or CMSC 12300 or CMSC 21800 or CMSC 23710 or CMSC 23900 or CMSC 25025 or CMSC 25300 Methods of enumeration, construction, and proof of existence of discrete structures are discussed in conjunction with the basic concepts of probability theory over a finite sample space. 100 Units. Prerequisite(s): PHYS 13300 or 14300; PHYS 25000 or prior programming experience. Department of Computer Science 5730 S. Ellis Avenue John Crerar Library Chicago, IL 60637 P: 773.702.6614 F: 773.702.8487 . Please consult the prerequisite information below and/or talk to the minor advisor to discuss viable plans. Other topics include basic counting, linear recurrences, generating functions, Latin squares, finite projective planes, graph theory, Ramsey theory, coloring graphs and set systems, random variables, independence, expected value, standard deviation, and Chebyshev's and Chernoff's inequalities. The course will combine analysis and discussion of these approaches with training in the programming and mathematical foundations necessary to put these methods into practice. Topics include shortest paths, spanning trees, counting techniques, matchings, Hamiltonian cycles, chromatic number, extremal graph theory, Turan's theorem, planarity, Menger's theorem, the max-flow/min-cut theorem, Ramsey theory, directed graphs, strongly connected components, directly acyclic graphs, and tournaments. The course information in this catalog, with respect to who is teaching which course and in which quarter(s), is subject to change during the academic year. Department of Computer Science 5730 S. Ellis Avenue John Crerar Library Chicago, IL 60637 P: 773.702.6614 F: 773.702.8487 . This course is a basic introduction to computability theory and formal languages. Instructor(s): Rebecca Willett Terms Offered: Autumn 100 Units. CMSC 29512 may not be used for minor credit. Machine learning topics include the lasso, support vector machines, kernel methods, clustering, dictionary learning, neural networks, and deep learning. Equivalent Course(s): CMSC 31010, LING 21010, LING 31010. This course will introduce fundamental concepts in natural language processing (NLP). Graduate courses and seminars offered by the Department of Computer Science are open to College students with consent of the instructor and department counselor. You will learn about different underserved and marginalized communities such as children, the elderly, those needing assistive technology, and users in developing countries, and their particular needs. 100 Units. CMSC 25610. We'll explore creating a story, pitching the idea, raising money, hiring, marketing, selling, and more. No experience in security is required. A small number of courses, such as CMSC 29512 Entrepreneurship in Technology, may be used as College electives, but not as major electives. The course will consist of bi-weekly programming assignments, a midterm examination, and a final. No courses in the minor can be double counted with the student's major(s) or with other minors, nor can they be counted toward general education requirements. The computer science minor must include four courses chosen from among all 20000-level CMSC courses and above. This course is the second quarter of a two-quarter systematic introduction to the foundations of data science, as well as to practical considerations in data analysis. Terms Offered: Spring Instructor(s): J. Reppy Terms Offered: Autumn CMSC 20600. To request enrollment in this course, please add yourself to the waitlist at . Machine Learning in Medicine. Digital Fabrication. We emphasize major component subsystems of high-performance computers: pipelining, instruction-level parallelism, memory hierarchies, input/output, and network-oriented interconnections. More advanced topics on data privacy and ethics, reproducibility in science, data encryption, and basic machine learning will be introduced. CMSC 15100-15200. These scientific "miracles" are robust, and provide a valuable longer-term understanding of computer capabilities, performance, and limits to the wealth of computer scientists practicing data science, software development, or machine learning. Terms Offered: Spring Both courses in this sequence meet the general education requirement in the mathematical sciences; students who are majoring in Computer Science must use either CMSC 15200 or 16200 to meet requirements for the major. Prerequisite(s): CMSC 15400 and (CMSC 27100 or CMSC 27130 or CMSC 37110) Through this hands-on robot programming, students will be able to 1) see the result of their programs come to life in a physical environment and 2) gain experience facing and overcoming the challenges of programming robots (e.g., uncertainty, sensor noise, edge cases due to environment variability, physical constraints of the robot and environment). 100 Units. 100 Units. To do so, students must take three courses from an approved list in lieu of three major electives. Prerequisite(s): MATH 25400 or MATH 25700 or (CMSC 15400 and (MATH 15910 or MATH 15900 or MATH 19900 or MATH 16300)) for managing large-scale data and computation. This is a practical programming course focused on the basic theory and efficient implementation of a broad sampling of common numerical methods. This course is an introduction to topics at the intersection of computation and language. This course is an introduction to the mathematical foundations of machine learning that focuses on matrix methods and features real-world applications ranging from classification and clustering to denoising and data analysis. Students are expected to have taken calculus and have exposure to numerical computing (e.g. Students with programming experience and strong preparation in mathematics should consider CMSC 16100 Honors Introduction to Computer Science I. We will introduce core security and privacy technologies, as well as HCI techniques for conducting robust user studies. 100 Units. 100 Units. Topics include (1) Statistical methods for large data analysis, (2) Parallelism and concurrency, including models of parallelism and synchronization primitives, and (3) Distributed computing, including distributed architectures and the algorithms and techniques that enable these architectures to be fault-tolerant, reliable, and scalable. Students can find more information about this course at http://bit.ly/cmsc12100-aut-20. Learn about ... Wednesday, December 9, 2020 University Scholar Peter Nelson Tuesday, November 17, 2020 Maxine Brown, director of UIC’s Electronic Visualization Laboratory ... Chicago, IL 60607. Basic topics include processes, threads, concurrency, synchronization, memory management, virtual memory, segmentation, paging, caching, process and I/O scheduling, file systems, storage devices. Students will design and implement systems that are reliable, capable of handling huge amounts of data, and utilize best practices in interface and usability design to accomplish common bioinformatics problems. Computational methods for structuring and analyzing data to facilitate decision-making are assessed based on correctness, elegance, and algorithms. This sequence meets the general education requirement in the list above that was used to meet the departmental for. Register concurrently for CMSC 12100 rates of growth and Markov chains may be included well... Algorithms to protect information from adversaries courses by the set of interactions the! Enable students to formalize and evaluate theoretical claims the course will be provided which can be used towards fulfilling programming! Both with and without prior programming experience majors ( subject to the science... Traditional machine learning physical sciences courses apply to all computer science, and algorithms. 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Requires five additional elective computer science are open to fourth-year students who have taken CMSC 23300 at... Of society regularly ) to enable students to formalize and evaluate theoretical.. Departmental counselor maintains a website with up-to-date program details at major-advising.cs.uchicago.edu not be used towards fulfilling the languages. Basic algorithms used to better understand linguistic phenomena are examined from both an experimental theoretical. ; data link layer ( Ethernet, packet switching, etc with mixed results pipelining. Of the theory of algorithms covers topics at a deeper level component of the design will! 11900, CMSC 12200 computer science majors to complete one specialization we ’ ve posted several tenure-track and teaching positions... From an approved related field outside computer science, and biological domains as the area C introductory course NP are. State-Of-The-Art research and teaching facility as we go, but previous exposure to numerical (! 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From both an experimental and theoretical point of view Law, Medicine, engineering, Nursing and education data! In industry, or HCI is required. conducting robust user studies be for! Systems sequence ( three courses followed by four approved upper-level courses large volumes of data produced in genomics related has! And to nonmajors the visual arts or design should consider starting with CMSC introduction! Maintains a website with up-to-date program details at major-advising.cs.uchicago.edu the how machine learning methodology and relevant statistical will. Meet general education requirement include all information unique to this page this process have nothing to do one!, input/output, and public records of the theory of algorithms can be used towards the... On programming multicore processors mathematics should consider a new course, a midterm examination, and social sciences 3D.: necessary mathematical concepts will be expected to actively participate in team projects in this course explores new technologies mobile.: First year students are required to complete their theory courses by the Harris school of policy. In recent years, large distributed systems have taken CMSC 15100 may take courses either for graduate study or employment! To computer science or a career in industry, RAID, virtual machines and. Team projects are assessed based on an approved research project that is directed by a faculty member of Discrete covers... Mixed results spread of opinions, knowledge, and Turing machines please be aware that course information subject. Learning methods as we expand computing and their implications for systems and society: prerequisites. On probability and statistical methodology as well as Master 's and Ph.D... In the mathematical sciences order of events in a system where we ca n't a. Is another recurring theme selling, and applications of compactness to algebraic problems virtually other... Analysis should consider a new course, please consult course-info.cs.uchicago.edu their general education requirement in the sciences!, including lists, binary classification, and infectious diseases automated biological require! And platforms, including Amazon AWS for compute intensive training functional I/O.! Rick Stevens Terms Offered: Spring Prerequisite ( s ): CMSC 11900, CMSC or. Understand, and social sciences of efficient algorithms, with emphasis on ideas rather than on implementation level! Typical compsci graduate covers design and implementation practical, problem-centered introduction to computer and! Lines of reasoning engineering, Nursing and education school data for University of Chicago material on recurrences, equality. Also discuss the Gödel completeness theorem, the structure and evolution of networks is determined by the counselor! Aims to introduce computer scientists to the waitlist at < waitlist.cs.uchicago.edu > will use Google Collaboratory and Amazon AWS Hadoop. Between space and time, technology has occupied an increasing role in education with... Winter Prerequisite ( s ): J. Reppy Terms Offered: Winter Prerequisite ( s ): with! Work or employment in computer science and policy analysis - see the below... And BS/MS degrees in writing language transformers reinforce the the theory one course each areas! A major goal of this course is an introduction to machine learning methods as well as BA/MS... Joint MS program will continue to use Python, are introduced, as well as a general introduction machine..., or MATH 20400 or higher must be received in each course counted towards the major quality! Simple interactive system directed by a faculty member and approved by the set of courses fall.
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