computer and information science course curriculum

The Senior Thesis program is selective, and students are generally expected to have a GPA is in the top 10-20% to qualify. CIS6010 Advanced Topics in Computer Architecture. The course will cover three major areas: software attacks and defenses, program analysis, and software verification. In this course, students will be introduced to the IPython programming environment. The course will contain an overview of one AI language and some discussion of important applications of artificial intelligence methodology. School of Computer ScienceToggle School of Computer Science Artificial Intelligence Program Computational Biology Program Computer Science Program Human- Computer Interaction Program SCS Additional Majors and MinorsToggle SCS Additional Majors and Minors Other Departments and Institutes Courses SCS Concentrations SCS Courses Evaluation is based on regular homework assignments as well as a final project and class participation. In part 2 we will examine how and when these different meanings are invoked across a variety of domains, focusing on social science, history, business, and machine learning, and will explore how conflation of these distinct concepts may have created confusion about the goals of science and how we evaluate its progress. This course will focus on numerical algorithms and scientific computing techniques that are practical and efficient for a number of canonical science and engineering applications. Sample Curriculum for the Bachelor of Science in Computer Science Year 1 (Fall Semester) (3) CS 111 Concepts of Computer Science (BICS) (3) CS 140 Introduction to Computing I (3) ENG 101 English Composition (5) MATH 150 Calculus I (FQR) (3) ACS 103 Interpersonal Communication Skills (EUSC) (1) FST 101 Succeeding & Engaging at SIUE Student works with industrial sponsor in the area of CIS. What useful tools can machine learning develop from databases of art historical images or other datasets of visual culture? Topics include edge computing applications and platforms, edge-based sensor data collection and processing, computation offloading and QoS-optimal task scheduling, and security/privacy. It introduces the fundamental technologies, platforms, and methods that enable Big Data analysis, and covers how to acquire, store, and analyze very large amounts of information to complete Big Data analysis tasks. Prerequisite(s): CIS350 or CIS3501 or IMSE350 or (ECE370 and MATH276), CIS476 Soft Arch & Design Patterns 3 Credit Hours, This course focuses on design patterns in object-oriented programming. CIS6600 Advanced Topics in Computer Graphics and Animation. Learn the basics of programming, making webpages, or creating databases. This course focuses on the challenges encountered in building Internet and web systems: scalability, interoperability (of data and code), security and fault tolerance, consistency models, and location of resources, services, and data. Instead the trust is in the underlying cryptographic algorithms. The purpose of this course is to introduce undergraduate students in computer computer science and engineering to quantum computers (QC) and quantum information science (QIS). You know how to program, but do you know how to implement a programming language? Please see this ASC page for details. Knowledge of computer organization and basic programming skills. The specific topics will be announced (together with special prerequisites) each time offered. The course then proceeds to consider various extensions of first-order logic including fixed-point operators, generalized quantifiers, infinitary languages, and higher-order languages. Other topics include: static scheduling, VLIW and EPIC, software speculation, long (SIMD) and short (multimedia) vector execution, multithreading, and an introduction to shared memory multiprocessors. Course and Exam Description Download AP Computer Science A Course and Exam Description Our graduates will be qualified to lead and participate in culturally diverse and inclusive teams, becoming global and ethical collaborators. This course is appropriate as an upper-level undergraduate CIS elective. If you have never programmed before, you should take CIS1100 first. This is a microcomputer literacy course with primary emphasis on the application tools of the word processor, spreadsheets, and database. Knowledge of vector geometry is useful. Prerequisite: CIS1210 AND (ESE3010 OR STAT4300). This semester's project will be a peer-to-peer implementation of a Googe-style search engine, including distributed, scalable crawling; indexing with ranking; and even PageRank. This is an introductory course to Computer Vision and Computational Photography. A fast-paced introduction to the fundamental concepts of programming and software design. Our graduates will be qualified for employment in Computer and Information Sciencerelated fields or other career paths, including industrial, academic, governmental, and non-governmental organizations, or will be successful graduate students in a program preparing them for such employment. Evaluation is based on selecting an interesting topic, completing appropriate research on the state of the art in that area, communicating your objectives i writing and in presentations, accurately estimating what resources will be reqto complete your chosen task, coding necessary functionality, and executing your plan. One significant programming language is covered in depth. Prerequisite: Knowledge of at least one programming language. Main content. Topics include learning frameworks and problem formulations; standard models, methods, computational tools, algorithms and modern techniques; and methodologies to evaluate learning ability and to automatically select optimal models. Your tasks will include planning, analyzing, designing, constructing, and maintaining these areas. This course is intended to introduce the mathematical and algorithmic foundations of procedural modeling and animation techniques, and to offer hands-on experience designing and implementing visual recipes in original graphics projects by applying these methods. An introduction to create professional-looking applications using the graphical user interface of Windows. How do you find shortest paths in a map? CIS1210 Programming Languages and Techniques II. Each student will be responsible for presenting one primer and at least two SIGGRAPH papers to the class. An important goal of the course is not simply to discuss issues and solutions, but to provide hands-on experience with a substantial implementation project. This course covers the foundations of statistical machine learning. This last motif, namely the relation between descriptive and computational complexity, will be one of the main themes of the course. The course will introduce both knowledge-based and statistical approaches to NLP, illustrate the use of NLP techniques and tools in a variety of application areas, and provide insight into many open research problems. The Digital Arts and Sciences (DAS) degree is a specialized program which integrates engineering and design: a core computer science curriculum with special emphasis on human-centered computing. This course covers core subject matter common to the fields of robotics, character animation and embodied intelligent agents. The language chosen might be Ada, C, MODULA 2, USP, PROLOG, or SMALLTALK. The Computer Science curriculum is designed to offer students flexibility. Prerequisite: A working knowledge of C++ programming is required (one year programming experience in general). Function effectively as a member or leader of a team engaged in activities appropriate to the programs discipline. Concentration requirements are listed below. Prerequisite(s): CIS350 or CIS3501 or IMSE351 or (ECE370 and MATH276), CIS422 Massive Data Management 4 Credit Hours, An introduction to database systems, concepts, and techniques for big data. The Bachelor of Science in Information Science (InfoSci) 4-year degree program at College Park teaches students skills in technical areas such as database design, information architecture, web/mobile development, data analytics, and cybersecurity alongside areas of the social sciences, leadership, and the humanities - addressing the growing and unique need for information professionals who . Prerequisite(s): CIS350 or CIS3501 or IMSE350 or (ECE370 and MATH276) or (ECE370 and ECE276), CIS481 Computational Learning 3 Credit Hours, This course covers basic computational aspects of learning to perform a task and improve with experience. Permission of Internship Coordinator required. Recommended: broad familiarity with probability and statistics, as well as programming in Python. Discussion includes other interesting connections, eg., with SLD-resolution, with constraint satisfaction problems, with finite model theory and with automata theory. This course will consist of three lecture hours and one two-hour laboratory. GPUs have also become programmable, allowing them to be used for a diverse set of applications far removed from traditional graphics settings. Topics covered will include traits and generics; memory safety (move semantics, borrowing, and lifetimes); Rust's rich macro system; closures; and concurrency. Modern translation systems like Google Translate and Bing Translator learn how to translate by reading millions of words of already translated text, and this course will show you how they work. This course will illuminate the issues associated with programming at this level and will cover issues such as explicit memory management, pointers, the compilation process and debugging. It also provides guidelines for examining system training data for bias, representation (of race, gender and other characteristics) and ecological validity. How does it do that? This course will consist of three lecture hours and one two-hour laboratory. CIS3980 Quantum Computer and Information Science. (F,W,S), Prerequisite(s): (MATH115 or Mathematics Placement with a score of 116) and CIS200*, CIS285 Software Engineering Tools 3 Credit Hours, This course will cover various CASE tools, such as UML modeling and code generation tools, configuration management tools, defect management tools, an integrated development environment for coding and debugging, unit and testing tools, and build tools. A CIS5990 course unit will invariably include formally gradable work comparable to that in a CIS 500-level course. This course gives a comprehensive introduction to design and analysis of algorithms, and answers along the way to these and many other interesting computational questions. The details of this course change from year to year, but its purpose is to cover theoretical topics related to programming languages. For example: OUTPUT "Welcome to BBC Bitesize Computer Science" Obtaining user input from a keyboard (OC). Emphasis of the course will be on the selection of data representations and algorithms useful in the design and implementation of intelligent systems. Topics include MapReduce, similarity search, mining real-time data streams, link analysis, clustering, recommender systems, social network graph mining, and large scale data mining tasks. Approval of Internship Coordinator required. No prior experience with Python is needed but we require knowledge of data structures, linear algebra, and basic probability. (F,W,S). The hardware/systems requirement may be met by CIS4710/CIS5710; or CIT5930 and CIT5950; or CIS2400 (with CIS4710/CIS5710 recommended); or equivalent coursework. We will examine how XML standards enable information exchange; how web services support cross-platform interoperability (and what their limitations are); how to build high-performance application servers; how "cloud computing" services work; how to perform Akamai-like content distribution; and how to provide transaction support in distributed environments. Hour of Code Only have an hour? Bachelor of Science Information Science and Technology. Physically based simulation techniques allow for creation of extremely realistic special effects for movies, video games and surgical simulation systems. Students may access their Degree Audit on-line at the University Registrar's site. This course assumes mathematical maturity, commensurate with either ESE2100 (Introduction to Dynamical Systems), or CIS2620 (Introduction to Theory of Computation). These are evaluated by the Project Adviser and the Course Instructor. How do you optimally encode a text file? The content will differ with each offering, covering topics such as multicore programmability, datacenter and warehouse-scale computing, security, energy-efficient architectures, etc. Developing tools for approaching design, analysis, and implementation of embedded systems in a principled manner is an active research area. Students are also introduced to two programming languages widely used in the computer graphics industry: C++ and GLSL. Topics include asymptotic analysis, amortized analysis, divide-and-conquer, dynamic programming, greedy algorithms, branch and bound, backtracking, lower bounds, NP-completeness and approximation algorithms. A Penn Engineering degree in Computer Science provides students with an in-depth education in the conceptual foundations of computer science and in complex software and hardware systems. Generally, computer science refers to designing and building computers and computer programs. To gain hands-on experience, students will implement basic simulators for several systems. It allows them to explore the connections between computer science and a variety of other disciplines in engineering and outside. Department Chairperson: Yedidyah Langsam Deputy Chairperson for Graduate . The use of logical formalisms in Computer Science is dominated by a fundamental conflict: expressiveness vs. algorithmic tractability. Possible career options include: software developer, database administrator, information technology manager, data analyst, security/privacy analyst, or pursuing doctoral studies. Evaluation wil l be based on regular homework assignments and class participation. Also Offered As: COGS1001, LING1005, PHIL1840, PSYC1333, CIS1600 Mathematical Foundations of Computer Science. This course assumes programming experience equivalent to CIS1100, CIS1200 or ESE1120. Student works with an industrial sponsor in the area of CIS. At the end of the second semester, students must describe their results in a written thesis and must present them publicly, either in a talk at Penn or in a presentation at a conference or workshop. This poster session examines the ACM/IEEE undergraduates programs for computer science and information technology with a focus on the learning outcomes and examines the various knowledge areas and units within each of guidelines showing similarities and differences. The Computer Science (CS) concentration strengthens your knowledge of how computer systems work and prepares you for positions in embedded and systems programming, graphics and visualization, networks, scientific programming, and web technology, among others. A plug-in to standard authoring tools such as Maya or Houdini must also be developed to enable importing of appropriate assets and/or exporting of results. Option 1Four One-Carnegie-Unit Courses. This course is appropriate as an upper-level undergraduate CIS elective. (When counting the number of semester hours in Areas A, D, and F, only 3 of the 4 credit hours of each calculus course will be counted in Area A and/or D. . Python has quickly become a popular language for getting things done efficiently in many in all domains: scripting, systems programming, research tools, and web development. The particular language changes from term to term. Prerequisite(s): (CIS427* or ECE471*) and (CIS387 or ECE387), Restriction(s): Cannot enroll if Class is FreshmanCannot enroll if College is Business, CIS474 Compiler Design 3 Credit Hours. CIS310 Computer Org and Assembly Lang 4 Credit Hours. You know how to write a "program". This course is an introduction to deep learning, a branch of machine learning concerned with the development and application of modern deep neural networks. Once students are eligible to take major-level Computer Science courses . Will new devices allow tracking of your every move and every purchase? This course provides firm foundations in linear algebra and basic optimization techniques. Software engineering students continue to participate in the design and implementation of a major software project. Topics covered include communication, concurrency, programming paradigms, naming, managing shared state, caching, synchronization, reaching agreement, fault tolerance, security, middleware, and distributed applications. Basic geometrical concepts: graphics output primatives, two-dimensional transformations, windowing and clipping, three-dimensional viewing, visible surface detection methods, and graphical user interfaces. Basic understanding of 3D graphics and animation principles, prior exposure to scripting and programming languages such as Python, C and C++, CIS5650 GPU Programming and Architecture. An opportunity for the student to become closely associated with a professor (1) in a research effort to develop research skills and techniques and/or (2) to develop a program of independent in-depth study in a subject area in which the professor and student have a common interest. The PDF will include all information unique to this page. Languages are compared with regard to their various data types, data structures, operations, control structures, programming environments, and ease of use in solving various programming problems. The central theme is the view of programs and programming languages as mathematical objects for which precise claims may be made and proved. Topics include data visualization, the process of creating animated video clips from start to finish (including story creation, storyboarding, modeling, animation, and post-production), and computer virtualization; several key techniques include graphic design, video editing, motion generation, multimedia, real-time rendering, visualization tools, and virtual machines. The Game Design (GD) concentration is tailor-made for those whose dreams include careers in game programming, user experience design and augmented reality applications. This is an introduction to topics in the security of computer systems and communication on networks of computers. A large project introducing students to the challenges of software engineering concludes the course. Trost focused his coursework around intrusion detection and protecting computer networks. Prerequisite: CIS1200 AND CIS1210 AND CIS2400. Students must elect different topics to take both CIS390 and CIS391. The course covers the fundamentals of classical and modern uniprocessor design: performance and cost issues, instruction sets, pipelining, superscalar, out-of-order, and speculative execution mechanisms, caches, physical memory, virtual memory, and I/O. The curriculum is heavily project-based, and culminates in a group project focused on building an interactive first-person world exploration application using the various real-time interaction and rendering algorithms learned throughout the semester. The CIS courses include software engineering, algorithm analysis, networking, security, programming languages, game design, computer architecture, data structures, operating systems, artificial intelligence, database management systems, graphics, information systems, robotics, web development and capstone design courses. Computing professionals offer expertise in the effective and efficient use of computers for solving human problems, whether that be as a member of a project development team, as a builder of powerful and easy-to-use tools, as an individual researcher, or as an educator. The first part of the course will focus on Ruby, the language that powers Rails. The curriculum for the Bachelor's in Computer Science has been crafted to provide students with in-depth computer knowledge and technical skills. Course material is aimed to address biological questions using computational approaches and the analysis of data. Prerequisite(s): ((CIS350 or CIS3501 or IMSE351) or (ECE370 and MATH276) or (ECE370 and ECE276)) and IMSE317, CIS435 Web Technology 3 Credit Hours. Algorithm design topics include the greedy, divide-and-conquer, dynamic programming, backtracking and branch-and-bound techniques. Seminar topics discussed include: computing ethics and professional practice. Full Course Title: Computer Programming for Engineers- Intermediate topics in computer programming: arrays, files, structured data types, pointers, functions. The answer to all these questions is in the affirmative provided we allow the use of randomization. The structure of the course will be lecture-based using small-team based exercises for evaluation. The following abbreviations are used to denote the frequency of offering: (F) fall term; (W) winter term; (S) summer term; (F, W) fall and winter terms; (YR) once a year; (AY) alternating years; (OC) offered occasionally. Perception involves the estimation of the robots motion and path as well as the shape of the environment from sensors. For students working on an advanced research leading to the completion of a Master's thesis. Donate to the department to help us reach the goal of $50,000 in donations to celebrate over 50 years of teaching excellenceClick here to make your donation. This course provides an introduction to proof principles and logics, functions and relations, induction principles, combinatorics and graph theory, as well as a rigorous grounding in writing and reading mathematical proofs. You will learn about problem-solving; advanced data structures such as universal hashing and red-black trees; advanced design and analysis techniques such as dynamic programming and amortized analysis; graph algorithms such as minimum spanning trees and network flows; NP-completeness theory; and approximation algorithms. Prerequisite(s): (CIS350 or IMSE350 or CIS3501) or (ECE370 and MATH276) or (ECE370 and ECE276), CIS405 Algorithm Analysis & Design 3 Credit Hours. Can you check if two large documents are identical by examining a small number of bits? You will also learn about the broader field of computer science and algorithmic thinking, the fundamental approach that computer scientists take to solving problems. Prerequisite(s): ENGR100 or (MATH105 or Mathematics Placement with a score of 113), CIS275 Discrete Structures I 4 Credit Hours, This course introduces students to various topics in discrete mathematics, such as set theory, mathematical logic, trees, and graph theory. The course assumes mathematical and programming experience equivalent to CIS1600 and CIS1210. The course divides into three major sections. Prerequisite(s): (MATH115 or Mathematics Placement with a score of 116) and (CIS200 or IMSE 200) and CIS275, CIS316 Prac. While traditional image processing techniques will be discussed to provide context, the emphasis will be on cutting edge aspects of all areas of image analysis (including registration, segmentation, and high-dimensional statistical analysis). (F,W,S). game engines). We introduce the basic concepts about complexity of an algorithm and methods on how to compute the running time of algorithms. Emphasis will be placed on both analytical and computational techniques. A program may need to communicate with a user. This course will provide an introduction to programming in C++ and is intended for students who already have some exposure to programming in another language such as Java, C++ provides the programmer with a greater level of control over machine resources and are commonly used in situations where low level access or performance are important. Algorithm design topics include the greedy, divide-and-conquer, dynamic programming, backtracking and branch-and-bound techniques. (F,W,S), Prerequisite(s): CIS375 and CIS310 and (CIS427 or CIS450), CIS4952 Design Seminar II 2 Credit Hours, Students continue to participate in the design and implementation of a major software project. The first phase introduces the concepts of modern computer science, including structured programming languages and efficient, productive programming. The second part of the course addresses the problem of memory management; it will cover topics such as linking, dynamic memory allocation, dynamic address translation, virtual memory, and demand paging. The course also will examine game development from an engineering point of view, including: game play mechanics, game engine software and hardware architectures, user interfaces, design documents, playtesting and production methods. Computer vision technology has led to latest innovations in areas such as Hollywood movie production, medical diagnosis, biometrics, and digital library. Both theoretical and algorithmic aspects will be discussed. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles. Topics covered include: geometric coordinate systems and transformations; quaternions; parametric curves and surfaces; forward and inverse kinematics; dynamic systems and control; computer simulation; keyframe, motion capture and procedural animation; behavior-based animation and control; facial animation; smart characters and intelligent agents. After these three major topics, the class will conclude with specialized topics such as virtual machines and case studies of different operating systems (e.g. Grades will be granted on a Pass/Fail (S/E) basis exclusively. This course is aimed at training CIS PhD students to excel in writing and presenting research results. 2nd order mass-spring-damper systems) and 3D computer graphics has also been assumed in the preparation of the course materials. health informatics, and information systems, and is an active participant in the PIMA-M.F.A. Prerequisite: CIS1200 Upon completion of the course, this application will be deployed and made accessible to the public. Senior Theses are expected to integrate the knowledge and skills from earlier coursework; because of this, students are not allowed to enroll in CIS4100 before their sixth semester. CIS150 Computer Science I 4 Credit Hours. (W), Restriction(s): Can enroll if Level is Undergraduate. The course devotes special attention to the use of simple computational and mathematical models. Have you ever wondered why sharing music and video generates such political and legal controversies? Computer and Information Science (CIS) has been one of the most dynamic fields in recent decades. (F,W,S), CIS3501 Data Struc & Alg Anlys for SE 4 Credit Hours, This course focuses on data design and algorithm design for software engineers. Some of the topics to be covered include: Projective Geometry, Camera Calibration, Image Formation, Projective, Affine and Euclidean Transformations, Computational Stereopsis, and the recovery of 3D structure from multiple 2D images. Along the way, students will also pick up essential skills such as git, bash, HTML and CSS. . (F, W, S), Prerequisite(s): CIS3200 and (STAT325 or IMSE317), Restriction(s): Can enroll if Class is Senior, CIS4972 Cap Proj for Data Sci II 2 Credit Hours, Data science students continue to participate in the design and implementation of a major data science project. degree in Computer and Information Science from UM-Dearborn. In this course, algorithms will be implemented in Python on mobile platforms on ground and in the air. This talk examines the ACM/IEEE undergraduates programs for computer science and information technology with a focus on the learning outcomes and examines the various knowledge areas and units within each of guidelines showing similarities and differences. or B.S.E. What are the basic mathematical concepts and techniques needed in computer science? The Computer Science (CS) track in the Master of Computer and Information Science (MCIS) program at Cleveland State University is a specialized degree program designed to prepare students for careers as computer science professionals. CIS2400 Introduction to Computer Systems. We will aim to cover practical issues such as programming and the use of programs, as well as theoretical issues such as algorithm design, statistical data analysis, theory of algorithms and statistics. The goal of this course is to provide an opportunity for seniors to define, desand execute a project of your own choosing that demonstrates the technical skiland abilities that you have acquired during your 4 years as undergraduates. (If you got at least 4 in the AP Computer Science A or AB exam, you will do great.) The Ohio State University is accredited by the Higher Learning Commission of the North Central Association of Colleges and Schools. A candidate for the degree of BS in CIS is required to select one of three concentrations: Computer Science, Information Systems, or Game Design. (F,W,S). The intent of the course is to provide the student with a solid technical foundation for developing, animating and controlling articulated systems used in interactive computer games, virtual reality simulations and high-end animation applications. This course deals with the study of technologies used to design and implement multimedia web sites. The first part of the course discusses concurrency: how to manage multiple tasks that execute at the same time and share resources. The relevant principles underlying methods used for analysis in these areas will be introduced and discussed at a level appropriate for biologists without a background in computer science. Senior standing or permission of instructor. Students should discuss with the faculty supervisor the scope of the Independent Study, expectations, work involved, etc. The goal of the course is to review state-of-the art research in the fields of computer graphics and animation as well as provide students with working knowledge of how to convert theory to practice by developing an associated graphics/animation authoring tool. (S). The intended audience for this class is both those students who are CS majors as well as those intending to be CS majors. Basic programming experience. 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Coursework around intrusion detection and protecting computer networks address biological questions using computational approaches and the of... Ling1005, PHIL1840, PSYC1333, CIS1600 mathematical foundations of computer Science and a variety of other disciplines engineering. Course then proceeds to consider various extensions of first-order logic including fixed-point operators, generalized,!