Master the veterinary technician’s role in caring for critically ill or injured pets! Small Animal Emergency and Critical Care for Veterinary Technicians, 4th Edition provides quick access to dozens of common, …

CS&SS 569 Visualizing Data (4) Explores techniques for visualizing social science data to complement graduate training methods. Emphasis on principles and perception of visualization, novel exploration and presentation of data and statistical models, and implementation of recommended techniques in …

Computer Science & Management Information Science UT Austin's Computer Sciences (CS) curriculum is devoted to computer theory and design. By contrast, the Management Information …

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Introduction to Smart Grids – CS 479/EE 490: The course serves as an introduction to the technologies and design strategies associated with the Smart Grid. The emphasis will be on the development of …

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CS 461 Computer Security I credit: 4 Hours. Fundamental principles of computer and communications security and information assurance: ethics, privacy, notions of threat, vulnerabilities, and risk in systems, information warfare, malicious software, data secrecy and integrity issues, network security, trusted computing, mandatory and discretionary access controls, certification and ...

Techniques for analysis of markets, making decisions with other strategic agents, and understanding how algorithms affect the incentives of market participants. These include game theory, mechanism design, auction theory, and social choice theory. ... CS 512…

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This course covers fundamental concepts and techniques plus recent developments in data mining and information retrieval. Provides relevant research training and practice opportunities. May not be taken for credit if student received credit for CS 4315. Prerequisite: C or higher in CS 3358: Data Structures; Course Objectives:

CS 511: Advanced Data Management: CS 512: Data Mining Principles: CS 522: Programming Language Semantics: CS 523: Advanced Operating Systems: CS 524: Concurrent Programming Languages: CS 526: Advanced Compiler Construction: ECE 508: Manycore Parallel Algorithms: ECE 584: Embedded System Verification

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CS 225, DISCRETE STRUCTURES IN COMPUTER SCIENCE, 4 Credits. An introduction to the discrete mathematics of computer science, including logic, set and set operations, methods of proof, recursive definitions, combinatorics, and graph theory. (Note: Students may take either MTH 231 or CS 225, but cannot receive credit for both.)

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Gregory W. Donohoe, Acting Chair, Dept. of Computer Science (237 Janssen Engr. Bldg. 83844-1010; phone 208/885-6501). Vertically-related courses in this subject field are: CS 120-121. CS 101 Introduction to Computer Science (3 cr)

Data mining now comes into the picture to unveil the pieces of information. Several techniques for clustering are as follows: [2] x Partitioning Method x Hierarchical Method x Grid- based Method x …

Ph.D. (1985), Computer Science, Univ. Wisconsin-Madison. Knowledge Discovery and Data Mining, Database Systems . Data Mining Research Group Data and Information Systems Research Laboratory UIUC Calendar: (Cites: Exchange) Office: (217) 333-6903 Fax: (217) 265-6494 Web: hanj.cs.illinois.edu

1. Designed to meet increasing need of IT professionals who possess both practical database knowledge and CGI programming capability: 2. There are very few, if any, masters level courses that cover both database applications and CGI programming techniques.

Master the latest imaging procedures and technologies in Nuclear Medicine! Medicine and PET/CT : Technology and Techniques, 8th Edition provides comprehensive, state-of-the-art information on all aspects of nuclear medicine. Coverage of body systems includes anatomy and physiology along with details on how to perform and interpret related diagnostic procedures.

Undergraduate Prerequisites: CAS CS 108 or CAS CS 111; CAS CS 132 or CAS MA 242 or CAS MA 442. CASCS 112 is recommended. Covers practical skills in working with data and introduces a wide range of techniques that are commonly used in the analysis of data, such as clustering, classification, regression, and network analysis.

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Big Data study can include fundamental techniques, theories, methodologies, and technologies for broad applications. These techniques, methodologies, and technologies can be computational, statistical, …

Theoretical Computer Science. ... CS 388G Algorithms: Techniques & Theory; CS 388H Cryptography; CS 388M Communication Complexity; CS 388P Parallel Algorithms; CS 388R Randomized Algorithms; CS 388T Theory of Computation; CS 395T Coding Theory; ... Phone: 512.471.7316 ...

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Students in this program earn both Master of Science in Computer Science and Master of Chemical Engineering degrees. Students must fulfill the core course requirements of both departments. …

CS 510: Advanced Information Retrieval: 4: CS 511: Advanced Data Management: 4: CS 512: Data Mining Principles: 4: CS 543: Computer Vision: 4: CS 544: Optimiz in Computer Vision: 4: CS 546: Machine Learning in NLP: 4: CS 548: Models of Cognitive Processes: 4: CS 576: Topics in Automated Deduction: 2 to 4: CS 598: Special Topics (Machine ...

*If a student chooses to take both MET CS 520 and MET CS 521, the first course completed will fulfill the core requirement and the second course completed will count as an elective.. Students who have completed courses on core curriculum subjects as part of their undergraduate degree program or have relevant work-related experience may request permission from the Department of Computer Science ...

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