This position will provide quality comprehensive care for student-athletes through prevention, evaluation, care and treatment of injuries and illnesses and assist with injury rehabilitation. Winter Prerequisite(s): CMSC 27100, or MATH 20400 or higher. Prerequisite(s): CMSC 12300 or CMSC 15400, or MATH 15900 or MATH 25500. Prerequisite(s): (CMSC 27100 or CMSC 27130 or CMSC 37000), and (CMSC 15100 or CMSC 16100 or CMSC 22100 or CMSC 22300 or CMSC 22500 or CMSC 22600) , or by consent. The class provides a range of basic engineering techniques to allow students to develop their own actuated user interface systems, including 3D mechanical design, digital fabrication (e.g. Introduction to Computer Systems. Topics include programming with sockets; concurrent programming; data link layer (Ethernet, packet switching, etc. Networks and Distributed Systems. 100 Units. This course covers design and analysis of efficient algorithms, with emphasis on ideas rather than on implementation. Note(s): This course meets the general education requirement in the mathematical sciences. Introduction to Computer Graphics. Chicago, IL 60637 Mobile Computing. 100 Units. The course will involve a substantial programming project implementing a parallel computations. They allow us to prove properties of our programs, thereby guaranteeing that our code is free of software errors. Note: students who earned a Pass or quality grade of D or better in CMSC 13600 may not enroll in CMSC 21800. Instructor(s): Austin Clyde, Pozen Center for Human Rights Graduate LecturerTerms Offered: Autumn Marco Garrido, Associate Professor of Sociology, PhD, University of Michigan. Students will be introduced to all of the biology necessary to understand the applications of bioinformatics algorithms and software taught in this course. CMSC11111. A grade of C- or higher must be received in each course counted towards the major. Students must be admitted to the joint MS program. 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. 100 Units. This course is an introduction to database design and implementation. Programming languages often conflate the definition of mathematical functions, which deterministically map inputs to outputs, and computations that effect changes, such as interacting with users and their machines. Equivalent Course(s): MATH 27700. CMSC27502. CMSC22010. Note(s): This course can be used towards fulfilling the Programming Languages and Systems requirement for the CS major. More than half of the requirements for the minor must be met by registering for courses bearing University of Chicago course numbers. No prior background in artificial intelligence, algorithms, or computer science is needed, although some familiarity with human-rights philosophy or practice may be helpful. Extensive programming required. Instructor(s): A. RazborovTerms Offered: Autumn The course will cover algorithms for symmetric-key and public-key encryption, authentication, digital signatures, hash functions, and other primitives. CMSC27410. Tensions often arise between a computer system's utility and its privacy-invasiveness, between its robustness and its flexibility, and between its ability to leverage existing data and existing data's tendency to encode biases. Prerequisite(s): CMSC 15400. 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? Introduction to Data Science II. In order for you to be successful in engineering a functional PCB, we will (1) review digital circuits and three microcontrollers (ATMEGA, NRF, SAMD); (2) use KICAD to build circuit schematics; (3) learn how to wire analog/digital sensors or actuators to our microcontroller, including SPI and I2C protocols; (4) use KICAD to build PCB schematics; (5) actually manufacture our designs; (6) receive in our hands our PCBs from factory; (7) finally, learn how to debug our custom-made PCBs. Compilers for Computer Languages. The major requires five additional elective computer science courses numbered 20000 or above. CMSC23700. 100 Units. This course is the first in a pair of courses designed to teach students about systems programming. Class discussion will also be a key part of the student experience. This course introduces the principles and practice of computer security. Synthesizing technology and aesthetics, we will communicate our findings to the broader public not only through academic avenues, but also via public art and media. Students should consult the major adviser with questions about specific courses they are considering taking to meet the requirements. For prospective Faculty and Staff, see the Universitys Educational Assistance Plan guidebook. 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. 100 Units. Prerequisite(s): CMSC 15400 or CMSC 22000 How can we determine the order of events in a system where we can't assume a single global clock? Reading and Research in Computer Science. Prerequisite(s): MPCS 51036 or 51040 or 51042 or 51046 or 51100 Introduction to Human-Computer Interaction. Creative Machines and Innovative Instrumentation. Each topic will be introduced conceptually followed by detailed exercises focused on both prototyping (using matlab) and programming the key foundational algorithms efficiently on modern (serial and multicore) architectures. Terms Offered: Spring Students may enroll in CMSC29700 Reading and Research in Computer Science and CMSC29900 Bachelor's Thesis for multiple quarters, but only one of each may be counted as a major elective. Prerequisite(s): CMSC 15400 Prerequisite(s): Placement into MATH 15100 or completion of MATH 13100, or instructors consent, is a prerequisite for taking this course. Prerequisite(s): CMSC 15200 or CMSC 16200. Ethics, Fairness, Responsibility, and Privacy in Data Science. Programming Languages and Systems Sequence (two courses required): Students who place out of CMSC14300 Systems Programming I based on the Systems Programming Exam must replace it with an additional course from this list, Most of the skills required for this process have nothing to do with one's technical capacity. Expand. Equivalent Course(s): MAAD 21111. Students will also be introduced to the basics of programming in Python including designing and calling functions, designing and using classes and objects, writing recursive functions, and building and traversing recursive data structures. The Barendregt cube of type theories. Though its origins are ancient, cryptography now underlies everyday technologies including the Internet, wifi, cell phones, payment systems, and more. Students who place out of CMSC14400 Systems Programming II based on the Systems Programming Exam must replace it with an additional elective, Fax: 773-702-3562. Students will gain experience applying neural networks to modern problems in computer vision, natural language processing, and reinforcement learning. 100 Units. CMSC22001. They will find potential collaborators and interlocutors among Morehouse faculty engaged in research on related topics. We will introduce the machine learning methods as we go, but previous familiarity with machine learning will be helpful. Computing systems have advanced rapidly and transformed every aspect of our lives for the last few decades, and innovations in computer architecture is a key enabler. relationship between worldmaking and technology through social, political, and technical lenses. Instructor(s): T. DupontTerms Offered: Autumn. Prerequisite(s): CMSC 27100 or CMSC 27130, or MATH 15900 or MATH 19900 or MATH 25500; experience with mathematical proofs. Note(s): Students can use at most one of CMSC 25500 and TTIC 31230 towards a CS major or CS minor. This course covers education theory, psychology (e.g., motivation, engagement), and game design so that students can design and build an educational learning application. This course covers principles of modern compiler design and implementation. CMSC14400. A Pass grade is given only for work of C- quality or higher. CMSC25440. (Note: Prior experience with ML programming not required.) Instructor(s): A. ElmoreTerms Offered: Winter This course will focus on analyzing complex data sets in the context of biological problems. This course will introduce fundamental concepts in natural language processing (NLP). Position overview Position title: Assistant Teaching Professor. CMSC11800. Terms Offered: Winter Computer Architecture for Scientists. 100 Units. Prerequisite(s): CMSC 15400 A small number of courses, such as CMSC29512 Entrepreneurship in Technology, may be used as College electives, but not as major electives. Honors Combinatorics. Students should consult course-info.cs.uchicago.edufor up-to-date information. Programming will be based on Python and R, but previous exposure to these languages is not assumed. In addition to small and medium sized programming assignments, the course includes a larger open-ended final project. Students will learn both technical fundamentals and how to apply these concepts to public policy outputs and recommendations. 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). Students may not use AP credit for computer science to meet minor requirements. Indonesia. Prerequisite(s): CMSC 15200 or CMSC 16200. We will closely read Shoshana Zuboff's Surveillance Capitalism on tour through the sociotechnical world of AI, alongside scholarship in law, philosophy, and computer science to breathe a human rights approach to algorithmic life. Practical exercises in writing language transformers reinforce the the theory. Nonshell scripting languages, in particular perl and python, are introduced, as well as interpreter (#!) Introductory Sequence (four courses required): Students who major in computer science must complete the introductory sequence: Students who place out of CMSC14300 Systems Programming I based on the Systems Programming Exam are required to take an additional course from the list of courses approved for the Programming Languages and Systems Sequence, increasing the total number of courses required in the Programming Languages and Systems category from two to three. CMSC16200. Students will be expected to actively participate in team projects in this course. 100 Units. It will cover streaming, data cleaning, relational data modeling and SQL, and Machine Learning model training. About. CMSC25910. CMSC23900. Topics covered include two parts: (1) a gentle introduction of machine learning: generalization and model selection, regression and classification, kernels, neural networks, clustering and dimensionality reduction; (2) a statistical perspective of machine learning, where we will dive into several probabilistic supervised and unsupervised models, including logistic regression, Gaussian mixture models, and generative adversarial networks. It employs more than 180 full-time and part-time faculty and CMSC25040. A 20000-level course must replace each 10000-level course in the list above that was used to meet general education requirements or the requirements of a major. This course introduces complexity theory. Time permitting, material on recurrences, asymptotic equality, rates of growth and Markov chains may be included as well. Prerequisite(s): CMSC 11900 or CMSC 12300 or CMSC 21800 or CMSC 23710 or CMSC 23900 or CMSC 25025 or CMSC 25300. 100 Units. The course is designed to accommodate students both with and without prior programming experience. Responsibilities include collaborative research, independent statistical research, teaching, and supervision of Master's level statistical analysts. Referring Physician Access Line: 1-877-DOM-2730 Through hands-on programming assignments and projects, students will design and implement computer systems that reflect both ethics and privacy by design. A core theme of the course is "generalization"; ensuring that the insights gleaned from data are predictive of future phenomena. 100 Units. Collaboration both within and across teams will be essential to the success of the project. A range of data types and visual encodings will be presented and evaluated. Basic topics include processes, threads, concurrency, synchronization, memory management, virtual memory, segmentation, paging, caching, process and I/O scheduling, file systems, storage devices. Prerequisite(s): PHYS 12200 or PHYS 13200 or PHYS 14200; or CMSC 12100 or CMSC 12200 or CMSC 12300; or consent of instructor. 100 Units. Many of these fundamental problems were identified and solved over the course of several decades, starting in the 1970s. CMSC29512may not be used for minor credit. This thesis must be based on an approved research project that is directed by a faculty member and approved by the department counselor. This course is offered in the Pre-College Summer Immersion program. The successful candidate will likely have (a) a recent (4-years) PhD degree in Asian-American Studies, American Studies, History of Science and Technology Studies, or any STEM field; (b) a track record of research productivity, as evidenced by first authored original publications in high quality peer-reviewed journals; (c) independence to lead a project as well as willingness to work 100 Units. Further topics include proof by induction; number theory, congruences, and Fermat's little theorem; relations; factorials, binomial coefficients and advanced counting; combinatorial probability; random variables, expected value, and variance; graph theory and trees. Faculty are hired, evaluated, and retained on the basis of conditions covered in the union contract. Introduction to Data Science I. Equivalent Course(s): ASTR 21400, ASTR 31400, PSMS 31400, CHEM 21400, PHYS 21400. Introduction to Complexity Theory. 100 Units. CMSC27230. This course introduces students to all aspects of a data analysis process, from posing questions, designing data collection strategies, management+storing and processing of data, exploratory tools and visualization, statistical inference, prediction, interpretation and communication of results. Equivalent Course(s): LING 21010, LING 31010, CMSC 31010. Prerequisite(s): CMSC 27200 or CMSC 27230 or CMSC 37000, or MATH 15900 or MATH 15910 or MATH 16300 or MATH 16310 or MATH 19900 or MATH 25500; experience with mathematical proofs. ); internet and routing protocols (IP, IPv6, ARP, etc. The course will cover abstraction and decomposition, simple modeling, basic algorithms, and programming in Python. Computer Science with Applications I-II-III. CMSC20370. Prerequisite(s): CMSC 15100, CMSC 16100, CMSC 12100, or CMSC 10500. 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 11900, CMSC 12200, CMSC 15200, or CMSC 16200. 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. The Curry-Howard Isomorphism. 100 Units. These tools have two main uses. CMSC23710. This course also includes hands-on labs, where students will enhance their learning by implementing a modern microprocessor in a C simulator. Solutions draw from machine learning (especially deep learning), algorithms, linguistics, and social sciences. Computer Science with Applications III. In order to make the operations of the computer more transparent, students will study the C programming language, with special attention devoted to bit-level programming, pointers, allocation, file input and output, and memory layout. Advanced Distributed Systems. Dependent types. Note(s): This course meets the general education requirement in the mathematical sciences. Programming projects will be in C and C++. Introduction to Scientific Computing. 100 Units. Instructor(s): Michael MaireTerms Offered: Winter Designed to provide an understanding of the key scientific ideas that underpin the extraordinary capabilities of today's computers, including speed (gigahertz), illusion of sequential order (relativity), dynamic locality (warping space), parallelism, keeping it cheap - and low-energy (e-field scaling), and of course their ability as universal information processing engines. Does human review of algorithm sufficient, and in what cases? Equivalent Course(s): CMSC 33710. Programming Languages. Prerequisite(s): CMSC 15400 Homework exercises will give students hands-on experience with the methods on different types of data. This course covers the basics of the theory of finite graphs. Recently, The High Commissioner for Human Rights called for states to place moratoriums on AI until it is compliant with human rights. and two other courses from this list, CMSC20370 Inclusive Technology: Designing for Underserved and Marginalized Populations, CMSC23220 Inventing, Engineering and Understanding Interactive Devices, CMSC23240 Emergent Interface Technologies, Bachelors thesis in human computer interaction, approved as such, Machine Learning: three courses from this list, CMSC25040 Introduction to Computer Vision, Bachelors thesis in machine learning, approved as such, Programming Languages: three courses from this list, over and above those coursestaken to fulfill the programming languages and systems requirements, CMSC22600 Compilers for Computer Languages, Bachelors thesis in programming languages, approved as such, Theory: three courses from this list, over and above those taken tofulfill the theory requirements, CMSC28000 Introduction to Formal Languages, CMSC28100 Introduction to Complexity Theory, CMSC28130 Honors Introduction to Complexity Theory, Bachelors thesis in theory, approved as such. Knowledge of Java required. Prospective minors should arrange to meet the departmental counselor for the minor no later than May 1 of their third year. Pozen Center for Human Rights Graduate Lecturer Terms Offered: Autumn Equivalent Course(s): HMRT 23450, MAAD 13450. Topics include: algebraic datatypes, an elegant language for describing and manipulating domain-specific data; higher-order functions and type polymorphism, expressive mechanisms for abstracting programs; and a core set of type classes, with strong connections to category theory, that serve as a foundational and practical basis for mixing pure functions with stateful and interactive computations. The first phase of the course will involve prompts in which students design and program small-scale artworks in various contexts, including (1) data collected from web browsing; (2) mobility data; (3) data collected about consumers by major companies; and (4) raw sensor data. 100 Units. POSITION SUMMARY: 100 Units. CMSC27530. Surveillance Aesthetics: Provocations About Privacy and Security in the Digital Age. In this course, students will develop a deeper understanding of what a computer does when executing a program. Prerequisite(s): CMSC 15400 and (CMSC 27100 or CMSC 27130 or CMSC 37110). 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. We'll explore creating a story, pitching the idea, raising money, hiring, marketing, selling, and more. This course introduces the basic concepts and techniques used in three-dimensional computer graphics. Instructor(s): A. ChienTerms Offered: Winter University of Maryland, Baltimore County (UMBC) Department of Physics invites applications for a long-term, non-tenure track appointment at the rank of Lecturer beginning Fall 2023. 100 Units. Data types include images, archives of scientific articles, online ad clickthrough logs, and public records of the City of Chicago. It aims to teach how to model threats to computer systems and how to think like a potential attacker. Introduction to Computer Vision. Winter 100 Units. Cryptography is the use of algorithms to protect information from adversaries. Programming in a functional language (currently Haskell), including higher-order functions, type definition, algebraic data types, modules, parsing, I/O, and monads. 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. Students may petition to have graduate courses count towards their specialization via this same page. The graduate versions of Discrete Mathematics and/or Theory of Algorithms can be substituted for their undergraduate counterparts. Generally offered alternate years. 100 Units. CMSC23320. The areas of interest include atomic, molecular and optical physics; precision measurement searches for physics beyond the Standard Model; and quantum optics and information. This is a project-oriented course in which students are required to develop software in C on a UNIX environment. Instructor(s): Laszlo BabaiTerms Offered: Spring 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. Economics & Finance Courses. It will cover the basics of training neural networks, including backpropagation, stochastic gradient descent, regularization, and data augmentation. 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