Prerequisite(s): CMSC 27100, CMSC 27130, or CMSC 37110, or MATH 20400 or MATH 20800. Prerequisite(s): CMSC 15400 and some experience with 3D modeling concepts. The following specializations are currently available: Computer Security: CMSC 23200 Introduction to Computer Security Equivalent Course(s): MAAD 23220. This course offers a practical, problem-centered introduction to machine learning. Design techniques include divide-and-conquer methods, dynamic programming, greedy algorithms, and graph search, as well as the design of efficient data structures. Instructor(s): A. Chien Terms Offered: Winter Though its origins are ancient, cryptography now underlies everyday technologies including the Internet, wifi, cell phones, payment systems, and more. CMSC 23320. Students who earn the BA are prepared either for graduate study in computer science or a career in industry. Prerequisite(s): CMSC 15400 or CMSC 12200 and STAT 22000 or STAT 23400, or by consent. Courses that fall into this category will be marked as such. Note(s): If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. Labs focus on developing expertise in technology, and readings supplement lecture discussions on the human components of education. Prerequisite(s): STAT 11800/CMSC 11800 or consent of instructor. 100 Units. The lab section guides students through the implementation of a relational database management system, allowing students to see topics such as physical data organization and DBMS architecture in practice, and exercise general skills such as software systems development. Note(s): This course meets the general education requirement in the mathematical sciences. CMSC 25440. 100 Units. Winter Basic topics include processes, threads, concurrency, synchronization, memory management, virtual memory, segmentation, paging, caching, process and I/O scheduling, file systems, storage devices. NOTE: Non-majors may use either course in this sequence to meet the general education requirement in the mathematical sciences; students who are majoring in Computer Science must use either CMSC 15100-15200 or 16100-16200 to meet requirements for the major. Scalar first-order hyperbolic equations will be considered. Introduction to Robotics. Instructor(s): A. Elmore Terms Offered: Winter It is not just over Chicago though, Stanford, MIT have these advantages over virtually every other school for CS. 100 Units. This course deals with numerical linear algebra, approximation of functions, approximate integration and differentiation, Fourier transformation, solution of nonlinear equations, and the approximate solution of initial value problems for ordinary differential equations. 100 Units. Prerequisite(s): CMSC 16100, or CMSC 15100 and by consent. 100 Units. Our goal is for all students to leave the course able to engage with and evaluate research in cognitive/linguistic modeling and NLP, and to be able to implement intermediate-level computational models. This course focuses on one intersection of technology and learning: computer games. 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. Note(s): This course meets the general education requirement in the mathematical sciences. Topics include DBMS architecture, entity-relationship and relational models, relational algebra, concurrency control, recovery, indexing, physical data organization, and modern database systems. 100 Units. They allow us to prove properties of our programs, thereby guaranteeing that our code is free of software errors. Introduction to Quantum Computing. 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): Completion of the general education requirement in the mathematical sciences, and familiarity with basic concepts of probability at the high school level. The objective is that everyone creates their own, custom-made, functional I/O device. The Computer Science program prepares students for either graduate work or employment in computer science by offering both B.A. CMSC 25610. No previous biology coursework is required or expected. Prerequisite(s): CMSC 27100 or CMSC 27130 or CMSC 37110 or consent of the instructor. Basic counting is a recurring theme. 100 Units. BS students also take three courses in an approved related field outside computer science. Introduction to Data Engineering. Introduction to Bioinformatics. Class discussion will also be a key part of the student experience. Computational Linguistics I. CMSC 12100. Courses fulfilling general education requirements must be taken for quality grades. Personal website. CMSC 28515. Experience with mathematical proofs. Students who are interested in the visual arts or design should consider a new course, CMSC 11111 Creative Coding. Specifically, these paths are allowed: Students may receive credit towards the 4200 units required for graduation for only one of CMSC 12100 Computer Science with Applications I, CMSC 15100 Introduction to Computer Science I, or CMSC 16100 Honors Introduction to Computer Science I. The course discusses both the empirical aspects of software engineering and the underlying theory. For those new to the social sciences, this is an opportunity to see where your computer science and statistical skills can go, with innovative applications to problems of massive societal interest. The Department of Computer Science offers a seven-course minor: an introductory sequence of three courses followed by four approved upper-level courses. Students who have completed CMSC 15200 Introduction to Computer Science II or CMSC 16200 Honors Introduction to Computer Science II may not register for either CMSC 12100 Computer Science with Applications I or CMSC 12200 Computer Science with Applications II. Department of Computer Science 5730 S. Ellis Avenue John Crerar Library Chicago, IL 60637 P: 773.702.6614 F: 773.702.8487 . The course project will revolve around the implementation of a mini x86 operating system kernel. Equivalent Course(s): MATH 27800. It explores these behaviors concretely using extensive computer simulation exercises, thus developing simulation and data analysis skills. CMSC 22240. Prerequisite(s): PHYS 13300 or 14300; PHYS 25000 or prior programming experience. Methods of algorithm analysis include asymptotic notation, evaluation of recurrent inequalities, amortized analysis, analysis of probabilistic algorithms, the concepts of polynomial-time algorithms, and of NP-completeness. There is a mixture of individual programming assignments that focus on current lecture material, together with team programming assignments that can be tackled using any Unix technology. Prerequisite(s): CMSC 15400. Instructor(s): A. Shaw Terms Offered: Spring Note(s): This course meets the general education requirement in the mathematical sciences. Basic processes of numerical computation are examined from both an experimental and theoretical point of view. Both BA and BS students take at least fourteen computer science courses chosen from an approved program. Programming will be based on Python and R, but previous exposure to these languages is not assumed. This course covers the basics of computer systems from a programmer's perspective. Instructor(s): D. Franklin Terms Offered: Autumn Prerequisite(s): CMSC 15100, CMSC 16100, CMSC 12100, or CMSC 10500. Digital Fabrication. Topics include propositional and predicate logic and the syntactic notion of proof versus the semantic notion of truth (e.g., soundness, completeness). The major requires five additional elective computer science courses numbered 20000 or above. If you do not have the prerequisites for this course and want to request permission to enroll without the prerequisites, please submit a waitlist request at . Mathematical Logic II. CMSC 12300. CMSC 20900. The aim of the program is for students to acquire the skills to produce successful research in Computer Science. While this course is not a survey of different programming languages, we do examine the design decisions embodied by various popular languages in light of their underlying formal systems. Contacts | Program of Study | Where to Start | Program Requirements | Specializations | Summary of Requirements | Grading | Honors | Minor Program in Computer Science | Joint BA/MS or BS/MS Program | Graduate Courses | Schedule Changes | Courses, Department Website: https://www.cs.uchicago.edu. Request form available online https://masters.cs.uchicago.edu The minor advisor must approve the student's minor consent form and the student must submit that form to the student's College adviser by the end of Spring Quarter of the student's third year. Note(s): Required of students who are majoring in Computer Science. Instructor(s): Staff Terms Offered: Spring Instructor(s): R. Chugh Terms Offered: Spring Equivalent Course(s): STAT 27725. This course is the first in a three-quarter sequence that teaches computational thinking and skills to students in the sciences, mathematics, economics, etc. 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. At the University of Chicago, public health experts, computer scientists, economists and policy analysts have launched projects using computational tools to better detect, diagnose, treat and prevent the spread of the deadly virus. Outstanding undergraduates may apply to complete an MS in computer science along with a BA or BS (generalized to "Bx") during their four years at the College. Weekly programming assignments give students the opportunity to try out each learning algorithm on real world datasets. If you do not have the prerequisites for this course and want to request permission to enroll without the prerequisites, please submit a waitlist request at . Usable Security and Privacy. More… Request Information 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. Proficiency in Python is expected. CMSC 15100. Computer Science with Applications II. Equivalent Course(s): STAT 11900. 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, directed acyclic graphs, and tournaments. Linear algebra strongly recommended; a 200-level Statistics course recommended. Read 3,215 Reviews It involves deeply understanding various community needs and using this understanding coupled with our knowledge of how people think and behave to design user-facing interfaces that can enhance and augment human capabilities. This course can be used towards fulfilling the Programming Languages and Systems requirement for the CS major. for managing large-scale data and computation. 100 Units. Prerequisite(s): CMSC 15400 required; CMSC 22100 recommended. 100 Units. CMSC 25460. Courses marked with an [H] are taught by the Harris School of Public Policy while courses marked with a [CS] are taught by the Computer Science department. CMSC 23360. Some guidelines follow. The curriculum includes the lambda calculus, type systems, formal semantics, logic and proof, and, time permitting, a light introduction to machine assisted formal reasoning. 100 Units. Introduction to Database Systems. CMSC 28540. Terms Offered: Autumn In addition, you will learn how to be mindful of working with populations that can easily be exploited and how to think creatively of inclusive technology solutions. Data types include images, archives of scientific articles, online ad clickthrough logs, and public records of the City of Chicago. Prospective minors should arrange to meet the departmental counselor for the minor no later than May 1 of their third year. Equivalent Course(s): STAT 37601. Data science provides tools for gaining insight into specific problems using data, through computation, statistics and visualization. Instructor(s): H. Gunawi (Spring), H. Hoffmann (Spring), M. Wachs (Autumn, Spring) Terms Offered: Autumn,Spring Computer science majors must take courses in the major for quality grades. NLP includes a range of research problems that involve computing with natural language. Note(s): If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. Instructor(s): Rebecca Willett Terms Offered: Autumn CMSC 27700. 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). Equivalent Course(s): CMSC 31010, LING 21010, LING 31010. 100 Units. 100 Units. Prerequisite(s): CMSC 15400. Andrew Chien, the newly appointed William Eckhardt Professor in Computer Science, projects that the 10-year future of computer hardware will be “wildly different” from the past 10 years. If you do not have the prerequisites for this course and want to request permission to enroll without the prerequisites, please submit a waitlist request at . This course covers the basics of the theory of finite graphs. Instructor(s): K. Mulmuley Terms Offered: Autumn It will cover streaming, data cleaning, relational data modeling and SQL, and Machine Learning model training. Cryptography is the use of algorithms to protect information from adversaries. CMSC 15200. Instructor(s): R. Chugh, S. Kurtz Terms Offered: Autumn The second course consists of several scientific and humanistic projects such as Turing Machines, biological modeling, and language manipulation with another final project. Lectures cover topics in (1) programming, such as recursion, abstract data types, and processing data; (2) computer science, such as clustering methods, event-driven simulation, and theory of computation; and to a lesser extent (3) numerical computation, such as approximating functions and their derivatives and integrals, solving systems of linear equations, and simple Monte Carlo techniques. Here is a list of resources (updated regularly) to enable remote learning and research. Email: cswebmaster@cs.uchicago.edu CMSC 11000-11100. Any 20000-level computer science course taken as an elective beyond requirements for the major may, with consent of instructor, be taken for P/F grading. High-throughput automated biological experiments require advanced algorithms, implemented in high-performance computing systems, to interpret their results. Simple techniques for data analysis are used to illustrate both effective and fallacious uses of data science tools. Data science is the study of extracting value from data. This class covers the core concepts of HCI: affordances and mental models, selection techniques (pointing, touch, menus, text entry, widgets, etc), and conducting user studies and interviews. You can see the full and exact curriculum requirements in this document: MSCAPP Degree Requirements - 2018 Entering Cohort.pdf In the first year, students complete core sets of classes in computer science, statistics, and … Computer Science. Department of Computer Science Research Interests: Systems, Computer Architecture, Emerging Technologies for Computing, Multicore and Embedded Architectures, Computer Security, and Sustainable Computing : Office: Ryerson 278 Phone: (773) 834-4545 chong@cs.uchicago.edu. Program offers BA and BS university of chicago computer science take at least a B+, or CMSC 16200 lexical analysis, parsing type! 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