It will cover microarray data and short-read sequencing data. Move your career forward with a high-quality online degree and certificate from a nationally-ranked and regionally accredited Science, Technology, Engineering, and Mathematics (STEM) University. Approval of the thesis advisor is required for registration. This special course covers areas of study in which one or more students may be interested but there is not sufficiently broad interest to warrant a regular course offering. Visual Informatics for Social Network and Mobile Flow. Pervasive Computing: An HCI Perspective. IS 785. Alternative protocols to the TCP/IP suite and new protocols adopted by this suite are discussed. Programming assignments are included.
3 credits, 3 contact hours. This course will present methods that are being used to analyze and mine transactional data and the business applications of these methods. CS 790D. 3 credits, 3 contact hours. Pre-Doctoral Research. Middleware is a set of functionality positioned in between and enabling interoperability among different, distributed enterprise and other computing applications. Doct Dissertation & Res. IS 790C. Credits for this course may not be applied toward degree requirements for either the bachelor's or master's in IS. Graduate Capstone Project. Master’s students registering for the first time in Master’s Project must take simultaneously the INTD 799 (Responsible Contact of Research) course. An in-depth study of how the Linux operating system is built from scratch. Students will gain practical experience in large-scale data analysis, which is highly desirable by both industry and academia employers. This course provides an in-depth study of mobile computing and sensor networks, which are becoming major components of the transition from today's world of desktop computers to a world where computing is ubiquitous. IS 688. First-year students are placed in a curriculum that positions them for success which may result in additional time needed to complete curriculum requirements. Design of simulation applications, and simulation programming in a high-level language. Experimental and/or theoretical investigation of a relevant topic in bioinformatics.
IS 681. Fundamentals of image processing, analysis and understanding. CS 759. 3 credits, 3 contact hours. Students cannot receive credit for both CS 661 and CS/MATH 666. A written thesis must be defended and approved by a committee of at least three faculty members. Permission is needed of the academic advisor as well for students who have completed the required coursework but have not passed the qualifying examination. This course is an introduction to machine learning and contains both theory and applications. and their analysis. CS 704. Graduate Degree Programs In This Section. Work assignments are identified by the co-op office and developed and approved by the Informatics department in conjunction with the student and employer. 3 credits, 3 contact hours. We discuss topics such as confirmation and disconfirmation of theories; falsifiability and pseudo-science; introduction; probability; and statistical inference, prediction, explanation and empirical equivalence. Credits for this course may not be applied toward degree requirements for either the bachelor's or master's in computer science. BNFO 725. CS 610. We will learn and conduct Python, MATLAB and R based manipulation of data. Evaluation of transactions to find risk includes detection of terrorists and money launderers. Students are expected to earn a grade of C or better in all CS courses that serve as prerequisites in a sequence of courses Requires approval of departmental co-op advisor and the Division of Career Development Services. We also discuss writing and reviewing academic articles and research proposals. The student is expected to defend the thesis upon accrual of six thesis credits. Computer Vision. Students will learn about big data analytic skills that integrate large open source data and traditional data by investigating the relationship between virtual and physical worlds in the built environment. Prerequisite: permission of the instructor. Prerequisite: IS 665. This course will introduce students to the practice of analyzing large-scale genomic data generated by recent high throughput bio-techniques.
3 credits, 3 contact hours. Pre or Corequisite: IS 601 Additional topics include Support Vector machines (SVM), Bayesian Learning, Hidden Markov Models (HMM), evolutionary computation, neural networks, with applications to signal interpretation, time-series prediction, and Biometrics. Enterprise Database Management. Special Topics. CS 785. Prerequisites: A high level programming language, MATH 333 (see undergraduate catalog for description), or instructor approved equivalents. This course covers the theory, principles, and practical application of the methodologies and tools for requirements engineering. 3 credits, 3 contact hours. SNMP family of standards including SNMP, SNMPv2, and RMON (Remote Monitoring), OSI systems management. IS 687. Prerequisites: CS 675 or approval of the instructor. Students will gain experience in open source web development through an intensive hands-on project, applying real-world problem-solving skills to meeting information systems requirements. The Enterprise Architecture (EA) describes an organization's IT strategy and operational structure. 3 credits, 3 contact hours. Co-requisite: IS 791. Cloud Computing. Demonstrate knowledge and skills in the design of algorithm and programs. Students must have the approval of the co-op advisor for the CS department. Masters Project. This course gives the student the necessary background to allow her/him to manage software projects; this includes economic, managerial and organizational aspects. Select a specialization and take three advanced courses in their specialization to further their knowledge. Course topics include the rudiments of probability and random variables, estimation, special distribution and sampling, Markov processes, hypothesis testing, graphics and visualization. Prerequisite: Restricted to students in the doctoral program in Information Systems.
Imp.. 3 credits, 3 contact hours. This course is an introduction to the skills needed for and tasks performed by a System Administrator. Restriction: students must have the approval of the co-op advisor for the CS department. Topics include all image processing techniques, high-level recognition approaches, and automated expert vision systems. The course presents ITIL key concepts, the ITIL service value system, the service value chain, the four dimensions of service management, ITIL guiding principles and ITIL management practices.
Numerical stability and conditioning. Genomic Data Analysis.
Foundations of Bioinformatics II. Prerequisite: CS 610. Independent Study in Information Systems. IS 727.
Approval of the thesis advisor is required for registration. This course is the first of a two-course sequence (CS 690, CS 700B) that focuses on a team-based industrial scale software project. Students must submit, for Informatics department approval, a proposal detailing the nature of the intended work. We also examine various types of information system applications such as e-commerce, supply chain, decision support, and enterprise systems. Prerequisite: Students should have completed 18 credits in the program. Forensic Auditing for Computing Security. The IS Research Study serves as the Information Systems PhD qualifying exam and demonstrates research readiness. IS 701B. The student must continue registering for three thesis credits (BNFO 701B) each semester until successful thesis defense (six credits count toward degree requirements and time limits apply).
This course is concerned with the development of requirements, the design of the human interaction, and the supporting functionality of any Information System related to the complete preparedness lifecycle for emergency, disaster, and crisis situations for government bodies, non-profit, and/or private organizations that are concerned with business continuity. Students must submit, for CS department approval, a proposal detailing the nature of the intended work. We use debit and credit cards (electronic transactions) instead of checks and cash at banks, restaurants, stores, and many other businesses. Students may use up to 6 credits of co-op toward their general elective requirements. The material covered in class is a top-down approach on introduction, discussion, and analysis of protocols from the data-link layer to the application layer. Students will delve into information protection concepts, privacy impact analysis, computer crime, legal issues, controls and auditing systems, and firewall configuration.
CS 792C. Software systems are some of the most complex human artifacts ever built and also some of the most critical means to ensure our safety, well being, and prosperity. Prerequisites: CS 505 or familiarity with the organization of at least one computer system, and knowledge of a structured programming language such as C. Graduate-level introduction to computer graphics concepts, algorithms, and systems. Prerequisites: Entry-level courses in programming, probability and statistics (e.g. Both deterministic and stochastic scheduling models are covered in detail. Design Techniques for Algorithms.
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