TAILIEUCHUNG - Lecture Note Professional practices in information technology - Lecture No. 23: Plagiarism and referencing

Lecture 23 - Plagiarism and referencing. After studying this chapter you will be able to understand: What is plagiarism? Examples of plagiarism, terminology: copyright, legal implications, what are the purposes of referencing? What should be referenced? | ProfessionalPracticesin Information Technology HandBook COMSATS Institute of Information Technology (Virtual Campus) Islamabad, Pakistan What is plagiarism? Plagiarism can be defined as ‘Plagiarism is passing off someone else’s work, whether intentionally or unintentionally, as your own for your own benefit’ (Carroll, 2002, ). Examples of plagiarism – Using a direct quote without referencing – Using someone else’s ideas or words without referencing – Paraphrasing work by only changing a few words – Using lecture/tutorial notes without referencing – Copying another person’s work and submitting it as your own – Submitting another person’s work in whole or in part – Submitting work that has been written by someone else on your behalf – Colluding when two or more students submit identical work (Bretag, Crossman & Bordia, 2006) Different Terminologies Terminology: Copyright Copyright is "a form of protection provided by a government to the authors of 'original works of authorship,' including literary, dramatic, musical, artistic, and certain other intellectual works. This protection is available to both published and unpublished works." Terminology: Fair Use Fair Use is a statute under copyright law that allows for the use of limited portions of a work that has copyright without having to have permission from the original author. It was created for the purposes of education and research. It’s a little harder to pin down than plagiarism or copyright. I mean, what qualifies as a "limited portion"? The Copyright Office isn't very helpful on defining what a "limited portion" is. It only states that "there is no specific number of words, lines, or notes that may safely be taken without permission." When using someone else's work, it's best to always give credit where credit's due, even if using only a small part. If you're unsure, then ask for permission. Legal Implications Is it against the law? How is it applied at the college level? – Most schools and universities have policies on cheating and plagiarism. Majority of universities have following policy: – First offense: failing grade on assignment – Second offense: failing grade for the course – Third offense: suspension What are the purposes of referencing? – To avoid plagiarism – To add strength and credibility as evidence to support your position – To indicate scope and depth of your research – To allow others to follow up content presented independently What should be referenced? – Everything that is not your own original idea – Quotes – Paraphrases – Summaries – Statistical information – Diagrams/tables/graphs/images Professional Practices in Information Technology CSC 110

• Chứng chỉ quốc tế
• Statistical information
• Information technology
• Professional practices in information technology
• Business data
• Computer technology
• Legal implications
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Decision making
• Organize information
• Psychology for health professionals
• entropy statistical thermodynamics based
• The thermodynamic MI
• Some Simple applications
• Statistical thermo dynamics
• Information Science
• Novel statistical approach
• Comparing meta heuristic stochastic
• Single objective problems
• Statistical comparison
• Exploitation power
• Translation Model Adaptation
• Statistical Machine Translation
• Monolingual Topic Information
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Enhancing Language Models
• Statistical Machine Translation with Backward N grams
• Mutual Information Triggers
• An Information Theory Based
• Feature Type Analysis
• the Modelling of Statistical Parsing
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Predicting Part of Speech Information
• Unknown Words
• Statistical Methods
• High Performance Bilingual Text Alignment
• Statistical
• Dictionary Information
• Lexical Disambiguation
• Sources of Information
• their Statistical Realization
• Using POS Information
• Morphologically Rich Languages
• scientific reports
• model language
• process natural language
• Adaptation of Statistical Machine Translation Model
• Cross Lingual Information Retrieval
• Service Context
• Statistical Indicators
• Multi Scale European Databases
• Approach in Lens Design
• Base of Information System
• Hospital Information Systems
• Telematics Transport
• Probability theory
• Elements of information theory
• Generating functions
• The missing information
• The urn problem
• Statistical Signal Processing
• process engineering
• basic programming
• system design
• The statistical mechanics
• Financial markets
• Capital markets
• Basic information
• The black–scholes theory
• Financial data
• Lecture Information retrieval techniques
• Bài giảng Kỹ thuật truy xuất thông tin
• Information retrieval techniques
• Clustering algorithms
• Cluster based retrieval
• Term statistical similarity
• Cybersecurity Considerations
• Organizational Research
• Tax Policy
• Taking Advantage
• e Government
• Statistical Analysis
• Statistical Inference
• Bayesian Network
• Learning Paradigm
• Equivalence Classes
• EM Algorithm
• Bayesian Information
• Complex Bayesian
• Professional Practices in IT
• Computer Science
• IT profession
• Professional Ethics
• Fair value accounting
• Reliability of accounting information
• Corporate investment analysts
• Corporate portfolio manager
• Statistical Package for Social Science
• Halawani Industrial Company
• Supply Chain Management
• Statistical Package for Social Sciences
• Presence of information technology
• Supply chain partner
• Statistical Products
• Federal Statistics
• Database Systems
• Information Integration
• Limiting Disclosure
• Trustworthiness