CMSC 25900. Honors Graph Theory. We concentrate on a few widely used methods in each area covered. Instructor(s): B. Sotomayor Terms Offered: Spring This course introduces complexity theory. 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. If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. 100 Units. Sensing, actuation, and mediation capabilities of mobile devices are transforming all aspects of computing: uses, networking, interface, form, etc. Mathematical topics covered include linear equations, regression, regularization, the singular value decomposition, and iterative algorithms. Terms Offered: Spring Labs focus on developing expertise in technology, and readings supplement lecture discussions on the human components of education. Introduction to Software Development. Most of the skills required for this process have nothing to do with one's technical capacity. How can we determine the order of events in a system where we can't assume a single global clock? Prerequisite(s): CMSC 12200. We also study some prominent applications of modern computer vision such as face recognition and object and scene classification. 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. This course can be used towards fulfilling the Programming Languages and Systems requirement for the CS major. If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. More than half of the requirements for the minor must be met by registering for courses bearing University of Chicago course numbers. The computer science program offers BA and BS degrees, as well as combined BA/MS and BS/MS degrees. Prerequisite(s): CMSC 25300, CMSC 25400, or CMSC 25025. 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. 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. CMSC 28515. More… Request Information CMSC 29512 may not be used for minor credit. No prior experience in security, privacy, or HCI is required. Instructor(s): A. Shaw (Aut), M. Wachs (Aut), J. Reppy (Win) Terms Offered: Autumn These tools have two main uses. Instructor(s): Michael Maire Terms Offered: Winter CMSC 22200. United States A physical computing class, dedicated to micro-controllers, sensors, actuators and fabrication techniques. Both the BA and BS in computer science require fulfillment of the general education requirement in the mathematical sciences by completing an approved two-quarter calculus sequence. Instructor(s): F. Chong Terms Offered: Winter In collaboration with others, you will complete a mini-project and a final project, which will involve the design and fabrication of a functional scientific instrument. Students who are interested in data analysis should consider starting with CMSC 11800 Introduction to Data Science I. Prerequisite(s): By consent of instructor and approval of department counselor. Students with programming experience and strong preparation in mathematics should consider CMSC 16100 Honors Introduction to Computer Science I. 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 course is the first in a three-quarter sequence that teaches computational thinking and skills to students in the sciences, mathematics, economics, etc. Prerequisite(s): CMSC 23300 with at least a B+, or by consent. The Computer Science program prepares students for either graduate work or employment in computer science by offering both B.A. 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. This course is the second in a three-quarter sequence that teaches computational thinking and skills to students in the sciences, mathematics, economics, etc. Methods include algorithms for clustering, binary classification, and hierarchical Bayesian modeling. Instructor(s): Pedro Lopes Terms Offered: TBD Computer Architecture. Instead, C is developed as a part of a larger programming toolkit that includes the shell (specifically ksh), shell programming, and standard Unix utilities (including awk). 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. Instructor(s): A. Rogers, M. Wachs Terms Offered: Winter Machine learning topics include the lasso, support vector machines, kernel methods, clustering, dictionary learning, neural networks, and deep learning. Networks and Distributed Systems. Students can find more information about this course at http://bit.ly/cmsc12100-aut-20. 100 Units. Note(s): Students who have taken CMSC 15100 may take 16200 with consent of instructor. 100 Units. Prerequisite(s): Placement into MATH 16100 or equivalent and programming experience, or by consent. 100 Units. 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. 100 Units. CMSC 16200. Instructor(s): S. Lu Terms Offered: Autumn A range of data types and visual encodings will be presented and evaluated. Prerequisite(s): None 100 Units. Scientific Visualization. It explores these behaviors concretely using extensive computer simulation exercises, thus developing simulation and data analysis skills. CMSC 22000. 100 Units. BS students also take three courses in an approved related field outside computer science. Note(s): If an undergraduate takes this course as CMSC 29512, it may not be used for CS major or minor credit. Recent papers in the field of Distributed Systems have described several solutions (such as MapReduce, BigTable, Dynamo, Cassandra, etc.) A central component of the program is the interaction of the student with their research advisor, and with the research community. Equivalent Course(s): STAT 11800. 100 Units. 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. Topics include: Processes and threads, shared memory, message passing, direct-memory access (DMA), hardware mechanisms for parallel computing, synchronization and communication, patterns of parallel programming. No experience in security is required. This course covers the basics of computer systems from a programmer's perspective. High-throughput automated biological experiments require advanced algorithms, implemented in high-performance computing systems, to interpret their results. Winter At the intersection of these two uses lies mechanized computer science, involving proofs about data structures, algorithms, programming languages and verification itself. STAT 22000 or STAT 23400 strongly recommended. Topics may include sequence alignment algorithms to study DNA and protein sequences, algorithms and experiments for protein structure prediction, dynamics, and folding, clustering and machine learning methods for gene expression analysis, computational models of RNA structure, and DNA computing and self-assembly. Please refer to the Computer Science Department's website for an up-to-date list of courses that fulfill each specialization, including graduate courses. It will cover streaming, data cleaning, relational data modeling and SQL, and Machine Learning model training. We'll explore creating a story, pitching the idea, raising money, hiring, marketing, selling, and more. Terms Offered: Winter Graduate courses and seminars offered by the Department of Computer Science are open to College students with consent of the instructor and department counselor. 100 Units. In addition to the Graduate College minimum requirements, students must meet the following program requirements: Minimum semester hours required: 36 Coursework: At least 28 hours (plus thesis hours), 32 hours (plus project hours), 36 hours (for coursework only). Prerequisite(s): CMSC 15400 or CMSC 12300. Students who earn the BA are prepared either for graduate study in computer science or a career in industry. 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. Winter To better appreciate the challenges of recent developments in the field of Distributed Systems, this course will guide students through seminal work in Distributed Systems from the 1970s, '80s, and '90s, leading up to a discussion of recent work in the field. Prerequisite(s): CMSC 27100, CMSC 27130, or CMSC 37110, or MATH 20400 or MATH 20800. Collaboration both within and across teams will be essential to the success of the project. Some guidelines follow. Instructor(s): Professor Ravi Chugh Terms Offered: Spring CMSC 15100 does not assume prior experience or unusually strong preparation in mathematics. Instructor(s): B. Ur Terms Offered: Spring Instructor(s): Stephan Meyer, Scott Wakely, Erik Shirokoff Terms Offered: Winter Ph: 773-702-7891 Winter L. Instructor(s): Staff Terms Offered: Autumn This is a project-oriented course in which students are required to develop software in C on a UNIX environment. There are three different paths to a, Digital Studies of Language, Culture, and History, History, Philosophy, and Social Studies of Science and Medicine, General Education Sequences for Science Majors, Honors Introduction to Computer Science I, Honors Introduction to Computer Science II, Elementary Functions and Calculus I-II (or higher). Equivalent Course(s): MATH 28410. Students must choose three courses from the following (one course each from areas A, B, and C). Note(s): If you are looking to add this class, please see waiting list link for directions http://cmsc2xx-waitlist.cs.uchicago.edu. As a classic Core course in the Chicago tradition, the course presents introductory techniques of problem solving, algorithm construction, program coding, and debugging as interdisciplinary arts adaptable to a wide range of disciplines with their specialized problems. This is a practical programming course focused on the basic theory and efficient implementation of a broad sampling of common numerical methods. The computer science minor must include four courses chosen from among all 20000-level CMSC courses and above. Our emphasis is on basic principles, mathematical models, and efficient algorithms established in modern computer vision. This course covers the fundamentals of digital image formation; image processing, detection and analysis of visual features; representation shape and recovery of 3D information from images and video; analysis of motion. These courses may be courses taken for the major or as electives. 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. CMSC 28400. Others serve supporting roles, such as part-of-speech tagging and syntactic parsing. Prerequisite(s): CMSC 15400 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 The course also emphasizes the importance of collaboration in real-world software development, including interpersonal collaboration and team management. 100 Units. This course covers principles of modern compiler design and implementation. This course presents the mathematical bases for the complex, scale-independent behavior seen in chaotic dynamics and fractal patterns. Simple techniques for data analysis are used to illustrate both effective and fallacious uses of data science tools. 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. 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. This course meets the general education requirement in the mathematical sciences. Inventing, Engineering and Understanding Interactive Devices. Matlab, Python, Julia, R). 100 Units. Emergent Interface Technologies. Further topics include proof by induction; recurrences and Fibonacci numbers; graph theory and trees; number theory, congruences, and Fermat's little theorem; counting, factorials, and binomial coefficients; combinatorial probability; random variables, expected value, and variance; and limits of sequences, asymptotic equality, and rates of growth. CS student opportunities. 100 Units. Each of these problem sets will involve students programming real, physical robots interacting with the real world (during the 2020-2021 academic year, students will program robots in simulation due to covid-19 restrictions). Algorithmic questions include sorting and searching, graph algorithms, elementary algorithmic number theory, combinatorial optimization, randomized algorithms, as well as techniques to deal with intractability, like approximation algorithms. Ethics, Fairness, Responsibility, and Privacy in Data Science. Topics include programming with sockets; concurrent programming; data link layer (Ethernet, packet switching, etc. Prerequisite(s): CMSC 12300 or CMSC 15400, or MATH 15900 or MATH 25500. Instructor(s): R. Chugh, S. Kurtz Terms Offered: Autumn 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. Computability topics are discussed (e.g., the s-m-n theorem and the recursion theorem, resource-bounded computation). The ideal student in this course would have a strong interest in the use of computer modeling as predictive tool in a range of discplines -- for example risk management, optimized engineering design, safety analysis, etc. Terms Offered: Spring It illustrates these principles from physical and biological phenomena. Winter CMSC 29700. Prerequisite(s): PHYS 13300 or 14300; PHYS 25000 or prior programming experience. The Department of Computer Science offers several different introductory pathways into the program. This course covers education theory, psychology (e.g., motivation, engagement), and game design so that students can design and build an educational learning application. Prerequisite(s): MATH 15900 or MATH 25400, or CMSC 27100, or by consent. Prerequisite(s): STAT 11800/CMSC 11800 or consent of instructor. Techniques studied include the probabilistic method. Prerequisite(s): CMSC 15400 or CMSC 22000 Chien, who was vice president of research at Intel Corporation from 2005 to 2010, believes the coming changes in computer science, in general, will be the result of shared research. We will use traditional machine learning methods as well as deep learning depending on the problem. This thesis must be based on an approved research project that is directed by a faculty member and approved by the department counselor. 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. Reading and Research in Computer Science. The course will involve a substantial programming project implementing a parallel computations. This introduction to quantum computing will cover the key principles of quantum information science and how they relate to quantum computing as well as the notation and operations used in QIS. 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 . Prerequisite(s): Familiarity with basic discrete mathematics/statistics/algorithms and biology recommended but not required. Note(s): Required of students who are majoring in Computer Science. Instructor(s): I. ); end-to-end protocols (UDP, TCP); and other commonly used network protocols and techniques. Prerequisite(s): CMSC 27100 or CMSC 27130 or CMSC 37110 or consent of the instructor. CMSC 27700. CMSC 11100. CMSC 11800. Students may not use AP credit for computer science to meet minor requirements. 100 Units. Instructor(s): A. Shaw Terms Offered: Spring This course is an introduction to database design and implementation. Join us and perform world-changing research, lead educational innovation, and prepare highly respected students that are among the most sought after graduates in the field. Instructor(s): Laszlo Babai Terms Offered: Spring The major requires five additional elective computer science courses numbered 20000 or above. Compilers for Computer Languages. This course will not be offered again. Prerequisite(s): CMSC 27100 or CMSC 27130, or MATH 15900 or MATH 19900 or MATH 25500; experience with mathematical proofs. The course revolves around core ideas behind the management and computation of large volumes of data ("Big Data"). CMSC 22240. Honors Introduction to Computer Science II. Design techniques include "divide-and-conquer" methods, dynamic programming, greedy algorithms, and graph search, as well as the design of efficient data structures. This course introduces the basic concepts and techniques used in three-dimensional computer graphics. 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. Introduction to Computer Vision. Equivalent Course(s): ASTR 31400, PHYS 21400, ASTR 21400, CHEM 21400, PSMS 31400. This course explores new technologies driving mobile computing and their implications for systems and society. Computers for Learning. Instructor(s): Michael J. Franklin, Dan Nicolae Terms Offered: Autumn To request enrollment in this course, please add yourself to the waitlist at . Introduction to Human-Computer Interaction. 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. We also discuss the Gödel completeness theorem, the compactness theorem, and applications of compactness to algebraic problems. 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. 100 Units. Applications and datasets from a wide variety of fields serve both as examples in lectures and as the basis for programming assignments. Prerequisite(s): CMSC 20300. 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. 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 … University of Chicago. Class discussion will also be a key part of the student experience. Equivalent Course(s): LING 28610. Prerequisite(s): PHYS 12200 or PHYS 13200 or PHYS 14200; or CMSC 12100 or CMSC 12200 or CMSC 12300; or consent of instructor. Creating technologies that are inclusive of people in marginalized communities involves more than having technically sophisticated algorithms, systems, and infrastructure. A 20000-level course must replace each 10000-level course in the list above that was used to meet general education requirements. Introduction to Data Science II. Prerequisite(s): CMSC 15400 required, CMSC 15100 or CMSC 16100 recommended. 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. In recent offerings, students have written programs to simulate a model of housing segregation, determine the number of machines needed at a polling place, and analyze tweets from presidential debates. Computer Science. CMSC 25400. Homework exercises will give students hands-on experience with the methods on different types of data. Mathematical Logic II. Computer Science with Applications I-II-III. CMSC 15100. Computer Science. Department of Computer Science 5730 S. Ellis Avenue John Crerar Library Chicago, IL 60637 P: 773.702.6614 F: 773.702.8487 . Data types include images, archives of scientific articles, online ad clickthrough logs, and public records of the City of Chicago. The course will be organized primarily around the development of a class-wide software project, with students organized into teams. 100 Units. Students who decide to pursue a computer science major or minor after completing CMSC 12100 Computer Science with Applications I or CMSC 12200 Computer Science with Applications II may continue with CMSC 15200 Introduction to Computer Science II followed by 15400. We will explore these concepts with real-world problems from different domains. Enumeration techniques are applied to the calculation of probabilities, and, conversely, probabilistic arguments are used in the analysis of combinatorial structures. Students will be introduced to all of the biology necessary to understand the applications of bioinformatics algorithms and software taught in this course. To request enrollment in this course, please add yourself to the waitlist at . CMSC 25040. 100 Units. 100 Units. Equivalent Course(s): MATH 27700. CMSC 22001. 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