CMSC 23320. Programming Languages and Systems Sequence (three courses required): 3. Prerequisite(s): Placement into MATH 13100 or higher, or by consent. Basic topics include processes, threads, concurrency, synchronization, memory management, virtual memory, segmentation, paging, caching, process and I/O scheduling, file systems, storage devices. Lectures cover topics in (1) data representation, (2) basics of relational databases, (3) shell scripting, (4) data analysis algorithms, such as clustering and decision trees, and (5) data structures, such as hash tables and heaps. Request form available online https://masters.cs.uchicago.edu After successfully completing this course, a student should have the necessary foundation to quickly gain expertise in any application-specific area of computer modeling. The core theme for the Entrepreneurship in Technology course is that computer science students need exposure to the broad challenges of capturing opportunities and creating companies. ); internet and routing protocols (IP, IPv6, ARP, etc. Prerequisite(s): Placement into MATH 15100 or completion of MATH 13100. The Department of Computer Science offers a seven-course minor: an introductory sequence of three courses followed by four approved upper-level courses. Note(s): Open both to students who are majoring in Computer Science and to nonmajors. Honors Introduction to Computer Science II. This course covers computational methods for structuring and analyzing data to facilitate decision-making. The course will be organized primarily around the development of a class-wide software project, with students organized into teams. Students who are not intending to major in computer science, but are interested in getting a rigorous introduction to computational thinking with a focus on applications are encouraged to start with CMSC 12100 Computer Science with Applications I. Incoming students should note that while CMSC 12100 can be used as the first course in the major, it is not open to first-year students, and it is not intended as an entry point for students who plan to major in computer science. 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. The course will include bi-weekly programming assignments, a midterm examination, and a final. This course presented introductory techniques of problem solving, algorithm construction, program coding, and debugging, as interdisciplinary arts adaptable to a wide range of disciplines. Instructor(s): K. Mulmuley The course is open to undergraduates in all majors (subject to the pre-requisites), as well as Master's and Ph.D. students. CMSC 23700. Prerequisite(s): CMSC 15400 Our emphasis is on basic principles, mathematical models, and efficient algorithms established in modern computer vision. This course introduces mathematical logic. Extensive programming required. You will also put your skills into practice in a semester long group project involving the creation of an interactive system for one of the user populations we study. Our study of networks will employ formalisms such as graph theory, game theory, information networks, and network dynamics, with the goal of building formal models and translating their observed properties into qualitative explanations. Terms Offered: Winter 5730 S. Ellis Avenue arge software systems are difficult to build. The course will be fast moving and will involve weekly program assignments. ... Access all of the Business, Law, Medicine, Engineering, Nursing and Education School data for University of Illinois--Chicago. 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. Instructor(s): A. Elmore Terms Offered: Winter This course focuses on the principles and techniques used in the development of networked and distributed software. Generally offered alternate years. 100 Units. For more information, consult the department counselor. Operating Systems. Mathematical Logic II. Algorithmic questions include sorting and searching, discrete optimization, algorithmic graph theory, algorithmic number theory, and cryptography. Instructor(s): A. Feldman Terms Offered: Autumn files that use the command-line version of DrScheme. CMSC 27620. No experience in security is required. CMSC 15100 does not assume prior experience or unusually strong preparation in mathematics. Mobile computing is pervasive and changing nearly every aspect of society. This course is a basic introduction to computability theory and formal languages. Instructor(s): F. Chong Terms Offered: Winter Terms Offered: Winter Prerequisite(s): MATH 15900 or MATH 25400, or CMSC 27100, or by consent. 100 Units. Topics will include usable authentication, user-centered web security, anonymity software, privacy notices, security warnings, and data-driven privacy tools in domains ranging from social media to the Internet of Things. We will introduce the machine learning methods as we go, but previous familiarity with machine learning will be helpful. The objective is that everyone creates their own, custom-made, functional I/O device. They allow us to prove properties of our programs, thereby guaranteeing that our code is free of software errors. 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. Collaboration both within and across teams will be essential to the success of the project. 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. A core theme of the course is "generalization"; ensuring that the insights gleaned from data are predictive of future phenomena. Instructor(s): Michael Maire Terms Offered: Winter CMSC 20300. More advanced topics on data privacy and ethics, reproducibility in science, data encryption, and basic machine learning will be introduced. Prerequisite(s): CMSC 27100, CMSC 27130, or CMSC 37110, or MATH 20400 or MATH 20800. The course discusses both the empirical aspects of software engineering and the underlying theory. Matlab, Python, Julia, R). Prerequisite(s): CMSC 15400. The department also offers a minor. 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. Instructor(s): I. In this course we will study the how machine learning is used in biomedical research and in healthcare delivery. 100 Units. This course introduces the basic concepts and techniques used in three-dimensional computer graphics. CMSC 13600. An understanding of the techniques, tricks, and traps of building creative machines and innovative instrumentation is essential for a range of fields from the physical sciences to the arts. 100 Units. This course provides an introduction to the concepts of parallel programming, with an emphasis on programming multicore processors. Data Visualization. We will explore various aspects of advanced functional programming in this course. Equivalent Course(s): MAAD 21111. 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. 100 Units. F: 773.702.8487, Student Summer Research Fellowship Program, Resources for current & incoming students, Four New Faculty Join UChicago Computer Science for 2020-21, UChicago/TTIC Researchers Present Several Papers, Win Test of Time Awards at FOCS 2020, UChicago CS Researchers Create New Protection Against Facial Recognition, UChicago CS Receives Awards, Presents Virtual Papers at CHI 2020, EPiQC Lands 2 of 12 IEEE Micro 2019 Top Picks in Computer Architecture, UChicago Joins New Academic/Industry Consortium to Accelerate AI Innovation, New Clinic Leverages Data Science for Social and Environmental Causes, Wired Covers Nightmare Prevention App Created by UChicago CS Student, South African Roots, Travel Shape Computer Scientist’s Research, UChicago CS Alums Go On To Exciting Futures in Academia, Industry, and Startups, Prof. Nick Feamster Argues For Better Internet Speed Tests in CACM, Four UChicago CS Students Selected for Rising Stars Program, Five UChicago CS Students Named in 2021 Class of Siebel Scholars, PhD Student Yi Ding Receives CRA Computing Innovation Fellowship, Three UChicago CS Students Receive Harper Dissertation Fellowships. CMSC 25040. CMSC 27530. 100 Units. 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. Methods of algorithm analysis include asymptotic notation, evaluation of recurrent inequalities, the concepts of polynomial-time algorithms, and NP-completeness. Summer Prerequisite(s): PHYS 13300 or 14300; PHYS 25000 or prior programming experience. 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. Introduction to Robotics. This course is an introduction to scientific programming language design, whereby design choices are made according to rigorous and well-founded lines of reasoning. Fax: 773-702-3562. Prerequisite(s): CMSC 15400. Many of these fundamental problems were identified and solved over the course of several decades, starting in the 1970s. This course covers principles of modern compiler design and implementation. STAT 22000 or STAT 23400 strongly recommended. Email: cswebmaster@cs.uchicago.edu Note(s): Students who have taken CMSC 15100 may take 16200 with consent of instructor. Instructor(s): A. Drucker Terms Offered: Winter Introduction to Complexity Theory. More than half of the requirements for the minor must be met by registering for courses … 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. Machine learning topics include the lasso, support vector machines, kernel methods, clustering, dictionary learning, neural networks, and deep learning. 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. This course meets the general education requirement in the mathematical sciences. Inventing, Engineering and Understanding Interactive Devices. Students will be expected to actively participate in team projects in this course. 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. Introduction to Data Engineering. CMSC 22240. Data science is the study of extracting value from data. CMSC 22400. (And how do we ensure this in the presence of failures?) Students do reading and research in an area of computer science under the guidance of a faculty member. Equivalent Course(s): CMSC 31010, LING 21010, LING 31010. It will cover streaming, data cleaning, relational data modeling and SQL, and Machine Learning model training. Scalar first-order hyperbolic equations will be considered. Digital Fabrication. 100 Units. Prerequisite(s): CMSC 20300. 100 Units. Prerequisite(s): CMSC 15400. Equivalent Course(s): STAT 11800. These courses may be courses taken for the major or as electives. CMSC 12100-12200-12300. 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. 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. Read 3,215 Reviews Note(s): This course is offered in alternate years. CMSC 15100. We will have several 3D printers available for use during the class and students will design and fabricate several parts during the course. The course project will revolve around the implementation of a mini x86 operating system kernel. Prerequisite(s): CMSC 12200, CMSC 15200 or CMSC 16200. This course introduces the principles and practice of computer security. CMSC 25900. Open to fourth-year students who are candidates for honors in Computer Science. Visualizations will be primarily web-based, using D3.js, and possibly other higher-level languages and libraries. Prerequisite(s): CMSC 27100 or CMSC 27130 or CMSC 37110 or consent of the instructor. 100 Units. Prerequisite(s): CMSC 15400 or CMSC 22000 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. ); end-to-end protocols (UDP, TCP); and other commonly used network protocols and techniques. 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. The curriculum includes the lambda calculus, type systems, formal semantics, logic and proof, and, time permitting, a light introduction to machine assisted formal reasoning. Functional Programming. Computer Science with Applications I. In recent years, large distributed systems have taken a prominent role not just in scientific inquiry, but also in our daily lives. Instructor(s): H. Gunawi (Spring), H. Hoffmann (Spring), M. Wachs (Autumn, Spring) Terms Offered: Autumn,Spring No prior experience in security, privacy, or HCI is required. It aims to teach how to model threats to computer systems and how to think like a potential attacker. 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. 100 Units. Practical exercises in writing language transformers reinforce the the theory. 100 Units. Equivalent Course(s): MATH 27800. The University of Chicago Prerequisite(s): CMSC 27100, or MATH 15900 or MATH 25500; experience with mathematical proofs. 100 Units. CMSC 21400. 100 Units. CMSC 27230. 100 Units. 100 Units. 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. However, building and using these systems pose a number of more fundamental challenges: How do we keep the system operating correctly even when individual machines fail? Prerequisite(s): CMSC 15400. Prerequisite(s): CMSC 15400 or CMSC 12200 and STAT 22000 or STAT 23400, or by consent. CMSC 22300. 100 Units. Prerequisite(s): CMSC 11900 or CMSC 12300 or CMSC 21800 or CMSC 23710 or CMSC 23900 or CMSC 25025 or CMSC 25300 Either course in this sequence meets the general education requirement in the mathematical sciences. The honors version of Discrete Mathematics covers topics at a deeper level. 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. Terms Offered: Spring Machine Learning in Medicine. Terms Offered: Spring for managing large-scale data and computation. This is a project oriented course in which students will construct a fully working compiler, using Standard ML as the implementation language. Church's λ-calculus, β-reduction, the Church-Rosser theorem. CMSC 27200. Students may substitute upper-level or graduate courses in similar topics for those on the list that follows with the approval of the departmental counselor. This course focuses on the principles and techniques used in the development of networked and distributed software. Note(s): This course meets the general education requirement in the mathematical sciences. The following specializations are currently available: Computer Security: CMSC 23200 Introduction to Computer Security Basic machine learning methodology and relevant statistical theory will be presented in lectures. This course gives students a hands-on introduction to robot programming covering topics including sensing in real-world environments, path planning, localization, kinematics, and decision making under uncertainty. When we perform a search on Google, stream content from Netflix, place an order on Amazon, or catch up on the latest comings-and-goings on Facebook, our seemingly minute requests are processed by complex systems that sometimes include hundreds of thousands of computers, connected by both local and wide area networks. While this course should be of interest for students interested in biological sciences and biotechnology, techniques and approaches taught will be applicable to other fields. Prerequisite(s): CMSC 15400 and knowledge of linear algebra, or by consent. MS-CAPP is a rigorous, two-year program offered jointly by the Harris School of Public Policy and the Department of Computer Science. 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 . @katz2410 The difference lies in that they have more renowned, superstar CS faculty, better and more research opportunities, more resources in general, higher quality of CS students and also better reputation with top employers looking to hire CS grads. Equivalent Course(s): MATH 27700. This course presents the mathematical bases for the complex, scale-independent behavior seen in chaotic dynamics and fractal patterns. Students who major in computer science have the option to complete one specialization. CMSC 27130. This course covers design and analysis of efficient algorithms, with emphasis on ideas rather than on implementation. Students who are interested in the visual arts or design should consider a new course, CMSC 11111 Creative Coding. Topics include automata theory, regular languages, context-free languages, and Turing machines. Prerequisite(s): CMSC 15400 required, CMSC 15100 or CMSC 16100 recommended. We will write code in JavaScript or related technologies, and we will work with a variety of digital media, including vector graphics, raster images, animations, and web applications. We’ve posted several tenure-track and teaching faculty positions in data science, databases, systems, HPC, security and other areas. This course can be used towards fulfilling the Programming Languages and Systems requirement for the CS major. Students can find more information about this course at http://bit.ly/cmsc12100-aut-20. Students who earn the BA are prepared either for graduate study in computer science or a career in industry. Prerequisite(s): CMSC 15400. Scientific Visualization. Equivalent Course(s): STAT 27725. 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