Approval of Internship Coordinator required. Join us and leading experts at the University of Michigan to learn what you want, whenever you want. This course introduces students to basic concepts and methods of artificial intelligence from a computer science perspective. The application of artificial intelligence to building decision support and expert systems for management and other applications. Seminar topics discussed include: computing ethics and professional practice in data science. (OC). The emphasis will be on robotics anatomy and configurations, robotocs kinematics, end effectors, use of sensors in robotics, robotics programming, design of robot workcell, robotics applications to production problems, cost justifications and robotics safety, rather than on the extensive theory of robotics. Topics covered include the different mobile development platforms, best practices in mobile user interaction design, software quality assurance in mobile environment, security and privacy issues, and context-aware computing. We provide a progressive curriculum, internationally-recognized faculty, and an intellectual community that values diversity, interdisciplinary teamwork, entrepreneurial thinking, and inventiveness. AEROSP 585 Aerospace Seminar (1 credit) BA 476 American Business History (3 credits) BA 612 Business Strategies for the Base of the Pyramid (2.25 credits) This course is a continuation of Digital Forensics I and will focus on Internet Forensics. THis course provides a practical introduction to a broad range of security topics including legal, ethical and professional issues in information security. This is a microcomputer literacy course with primary emphasis on the application tools of the word processor, spreadsheets, and database. Student works with industrial sponsor in area of CIS. CIS 297     Intro to C Sharp     3 Credit Hours, This course provides an introduction to the C# programming language and the .NET Framework for the development of Windows game applications. This course deals with the study of technologies used to design and implement multimedia web sites. (4 credits) Instruction Mode: Hybrid – Synchronous, Online – Synchronous Introduction to materials engineering and materials processing in manufacturing. The curriculum is modeled on the recommendations of the two main professional computing societies, the Association of Computing Machinery (ACM) and the Institute for Electrical and Electronic Engineering (IEEE). Registering for CSP Course Sections Beginning with registration for the 2020 fall term, eligibility to enroll in a CSP section will be driven by enrollment requirement groups. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. Restriction(s): Can enroll if Class is Junior or Senior, CIS 387     Digital Forensics I     4 Credit Hours. A search tool that provides information on LSA courses. Sec. An introduction to leadership, culture, and wide variety of technical fields that are part of the design, construction, and operations of Aeronautical and Astronautical vehicles. Here is a list of specific courses that our students have taken over the years. These courses are usually outside the traditional engineering, math, and science courses. A significant discussion of algorithm complexity theory, including time and space trade-offs and elementary computability theory, is included. University of Michigan is one of the top universities of the world, a diverse public institution of higher learning, fostering excellence in research. To achieve the educational objectives of the program, graduates of the BS in CIS program will have an ability to: Please see the Dearborn Discovery Core (General Education) webpage or additional information. These are: EECS 203, EECS 280, MATH 115, MATH 116. In addition to completion of the Dearborn Discovery Core, the following courses are required to earn a B.S. The specific topics will be announced (together with special prerequisites) each time offered. Course Lists. Introduction to formal languages. (F,W,S), Restriction(s): Can enroll if Class is SeniorCan enroll if College is Engineering and Computer Science, CIS 4962     Design Seminar for SE II     2 Credit Hours. Our graduates will lead and participate in culturally diverse teams, becoming global collaborators. (YR). The Michigan Engineering bulletin provides a comprehensive list of courses offered at the College of Engineering. Overview of the department With two doctoral programs offered within one department, students enroll in a degree program tailored to their interests, while having access to, … 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. Study of the management aspects of computing networks and distributed systems. data science. The request will include a description of the proposed research project. Students will study a variety of software technologies relevant to computer game design, including: 3D graphics, computer animation, data-driven game design, multiplayer game programming, and game AI. This course deals with the study of the technology, science and art in the creation of computer games. Students will learn these tools in a laboratory environment. Lecture topics will be taken from several areas of computer science: simulation and modeling, computer graphics, artificial intelligence, real-time processing, game theory, software engineering, human computer interaction, graphic design and game aesthetics. Prerequisite(s): (MATH 115 or Mathematics Placement with a score of 116) and (CIS 150 or IMSE 150 or CCM 150), CIS 2001     CS II for Data Scientists     4 Credit Hours, This course presents techniques for the design, writing, testing, and debugging of medium-sized programs, and an introduction to data structures (stacks, queues, linked lists) using an object-oriented programming language for data science applications. NOTE: how courses will be delivered is subject to change pending potential updates to University policy in the near future. Students are introduced to the Unified Modeling Language for requirements analysis using use-cases and activity diagrams, an object-oriented programming language for data science applications, and the fundamentals of computer hardware, system software, and components. This google sheet provides details about how courses will be delivered Winter 2021 due to COVID-19. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. (F), Prerequisite(s): (CIS 2001 or CIS 200) and CIS 3200, CIS 423     Dec Support and Exp Systems     3 Credit Hours. (F). Systematic study of programming languages with regard to their implementation, structures, and use. (F,W,S). In addition, you can use the U-M Net Price Calculator to get an early estimate of your full-time cost of attendance and financial aid at U-M. Introduction to Materials and Manufacturing Prerequisite: Chem 130 or Chem 210. (F,W,S), Prerequisite(s): CIS 375 and CIS 310 and (CIS 427 or CIS 450), CIS 4952     Design Seminar II     2 Credit Hours, Students continue to participate in the design and implementation of a major software project. Restriction(s): Cannot enroll if College is Education, Health, and Human Services or Business, CIS 449     Intro to Software Security     3 Credit Hours, This course provides a broad-spectrum introduction to the fundamental principles of software security, as well as the approaches that allow understanding common software practices, analyzing programs for vulnerabilities, and methods for developing secure software systems. Phone: 810.762.3121 Fax: 810.766.6780 Full Course Title: Computer Programming for Engineers- Intermediate topics in computer programming: arrays, files, structured data types, pointers, functions. Run-time storage management. The BS in Computer and Information Science program is accredited by the Computing Accreditation Commission of ABET, https://www.abet.org. An intermediate course in applied statistics, covering a range of topics in modeling and analysis of data including: review of simple linear regression, two-sample problems, one-way analysis of variance; multiple linear regression, diagnostics and model selection; two-way analysis of variance, multiple comparisons, and other selected topics. Each section will have seats reserved for one or more groups. An even broader view of our curriculum is available through the LSA Course Catalog – a comprehensive list of all courses currently active and recently offered by the College – searchable by subject, department, or requirement. Seminar topics discussed include: computing ethics and professional practice. Issues will range from the theoretical (what is information and how do humans construct it? 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