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Make a suggestion Refine your searchEthics in information technology / George W. Reynolds
Title : Ethics in information technology Material Type: printed text Authors: George W. Reynolds, Author Edition statement: 6th edition Publisher: Cengage Learning (Boston, MA) Publication Date: 2019 Pagination: xix, 444 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-337-40587-4 General note: Includes glossary (p. [414]-426)
Includes index (p. [427]-444)Languages : English (eng) Original Language : English (eng) Descriptors: Business Ethics
Information technology - Moral and ethical aspectsClass number: 174.9004 Abstract: "Ethics in Information and Technology"- fills a void of practical business information for business managers and IT professionals. The typical introductory information systems book devotes one chapter to ethics and IT, which cannot possibly cover the full scope of ethical issues related to IT.Such limited coverage does not meet the needs of business managers and IT professionals– the people primarily responsible for addressing ethical issues in the workplace. What I is missing is an examination of the different ethical situations that arise in IT as well as practical advice for addressing these issues. Contents note: An Overview of Ethics; Ethics for IT Workers and IT Users; Cyberattacks and Cybersecurity; Privacy; Freedom of Expression; Intellectual Property; Ethical Decisions in Software Development; The Impact of Information Technology on Society; Social Media; Ethics of IT Organizations; Appendix A A Brief; Introduction to Mortality; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17481 Hold
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Barcode Call number Media type Location Section Status 1702-002145 174.9004 Rey-Eth 2019 General Collection Library "Max van der Stoel" English Available 1702-002420 174.9004 Rey-Eth 2019 General Collection SEEU Library Skopje English Due for return by 01/30/2022 1702-002398 174.9004 Rey-Eth 2019 General Collection SEEU Library Skopje English Available
Title : Computer forensics : investigating file and operating systems, wireless networks, and storage Material Type: printed text Edition statement: 2nd edition Publisher: Cengage Learning (Boston, MA) Publication Date: 2017 Pagination: xix, 236 p. Layout: ill. Size: 23 cm ISBN (or other code): 978-1-305-88348-2 General note: Includes index Languages : English (eng) Original Language : English (eng) Descriptors: Computer crimes
Computer networks - Security measures
Investigation - Examinations - Study guidesClass number: 363.25 Abstract: The Computer Forensic : investigating file and operating systems, wireless networks, and storage" - by EC-Council provides the knowledge and skills to identify, track, and prosecute the cyber-criminal. The series is comprised of four books covering a broad base of topics in Computer Hacking Forensic Investigation, designed to expose the reader to the process of detecting attacks and collecting evidence in a forensically sound manner with the intent to report crime and prevent future attacks. Learners are introduced to advanced techniques in computer investigation and analysis with interest in generating potential legal evidence. In full, this and the other three books provide preparation to identify evidence in computer related crime and abuse cases as well as track the intrusive hacker's path through a client system. The series and accompanying labs help prepare the security student or professional to profile an intruder's footprint and gather all necessary information and evidence to support prosecution in a court of law. File and Operating Systems, Wireless Networks, and Storage provides a basic understanding of file systems, storage and digital media devices. Boot processes, Windows and Linux Forensics and application of password crackers are all discussed. Contents note: Understanding file systems and hard disks; Understanding digital media devices; Windows, Linux, and Macintosh Boot Processes; Windows Forensics I; Windows Forensics II; Linux Forensics; Application password crackers; Investigating Wireless Attacks; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17498 Hold
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Barcode Call number Media type Location Section Status 1702-002418 363.25 Comput 2017 General Collection Library "Max van der Stoel" English Available
Title : Introductory econometrics : a modern approach Material Type: printed text Authors: Jeffrey M. Wooldridge, Author Edition statement: 7th edition Publisher: Cengage Learning (Boston, MA) Publication Date: 2020 Pagination: xxii, 826 p. Layout: ill. Size: 26 cm ISBN (or other code): 978-1-337-55886-0 General note: Includes bibliographical references (p. 791-796)
Includes index (p. 812-826)Languages : English (eng) Original Language : English (eng) Descriptors: Econometric models
Econometrics
EconomicsClass number: 330.015195 Abstract: Wooldridge uses a systematic approach motivated by the major problems facing applied researchers. This text provides important understanding for empirical work in many social sciences, as well as for carrying out research projects. Contents note: The nature of econometrics and economic date; Regression analysis with cross-sectional data; The simple regression model; Multiple regression analysis: estimation; Multiple regression analysis: inference; Multiple regression analysis: OLS asymptotics; Multiple regression analysis: further issues; Multiple regression analysis with qualitative information; Heteroskedasticity; More on specification and data issues; Regression analysis with time series data; Basic regression analysis with time series data; Further issues in using OLS with time series data; Serial correlation and heteroskedasticity in time series regressions; Advances topics; Pooling cross sections across time: simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two-stage least squares; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; Carrying out an empirical project; Math refresher A, basic mathematical tools; Math reresher B, fundamentals of probability; Math refresher C, fundamentals of mathematical statistics; Advanced treatment D, summary of matrix algebra; Advanced treatment D, the linear regression model in matrix form; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=19537 Hold
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Barcode Call number Media type Location Section Status 1702-002360 330.015195 Woo-Int 2020 General Collection SEEU Library Skopje English Due for return by 06/30/2021
Title : Business analytics : data analysis and decision making Material Type: printed text Authors: S. Christian Albright, Author ; Wayne L. Winston, Author Publisher: Cengage Learning (Boston, MA) Publication Date: 2020 Pagination: xxiii, 882 p. Layout: ill. Size: 29 cm ISBN (or other code): 978-0-357-10995-3 General note: Includes bibliographical references (p. 873-874)
Includes index (p. 875-882)Languages : English (eng) Original Language : English (eng) Descriptors: Decision making - Computer programs
Industrial management - Statistical methods - Computer programsClass number: 658.403 Abstract: Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience. This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite. MindTap online resources are also available. Contents note: Introduction to Business Analytics; Describing the Distribution of a Variable; Finding Relationships among Variables; Business Intelligence (BI) Tools for Data Analysis; Probability and Probability Distributions; Decision Making under Uncertainty; Sampling and Sampling Distributions; Confidence Interval Estimation; Hypothesis Testing; Regression Analysis : Estimating Relationships; Regression Analysis : Statistical Inference; Time Series Analysis and Forecasting; Introduction to Optimization Modeling; Optimization Models; Introduction to Simulation Modeling; Simulation Models; Data Mining; Analysis of Variance and Experimental Design; Statistical Process Control; Appendix A : Statistical Reporting; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=21631 Hold
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Barcode Call number Media type Location Section Status 1702-002649 658.403 Alb-Bus 2020 General Collection SEEU Library Skopje English Available
