This study examines the coverage and reporting of development news related to the Millennium Development Goals (MDGs) in Nigerian newspapers from 2015 to 2019. The research assesses the extent to which major Nigerian newspapers represented MDGs-related issues the framing of such news stories and the overall quality of reporting on development initiatives during the specified time period. Using a content analysis approach a sample of newspaper articles was systematically analyzed to identify trends patterns and gaps in the portrayal of MDGs in the media. The findings reveal the varying degrees of attention given to MDGs across different newspapers with some publications demonstrating a more comprehensive and nuanced approach to reporting on development issues than others. Recommendations are provided for journalists media organizations and policymakers to enhance the quality and reach of development news coverage in Nigerian newspapers.

Now in its sixth edition Data for Journalists is a straightforward and effective guide to using data for news stories. This concise textbook addresses all the key basic skills that data journalists need including how to find and scrape data how to build a database how to visualize data and how to use spreadsheets and database managers - before launching into coding and more advanced analysis. Alongside step-by-step instructions on beginning data analysis Houston discusses why these digital tools should be an integral part of reporting in the present day. Thoroughly revised and updated this sixth edition features a new chapter on data visualization as well as new material on using free software such as Google Sheets and Datawrapper. Emphasizing that journalists are accountable for the accuracy and relevance of the data they acquire and share particularly if artificial intelligence is involved this is an ideal core text for courses on data-driven journalism and computer-assisted reporting.

The book introduces the key ideas behind practical nonlinear optimization. Computational finance - an increasingly popular area of mathematics degree programs - is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However this material - which occupies about one-third of the text - is also sufficiently accessible to allow the book to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described and their performance is demonstrated on a range of optimization problems arising in financial mathematics. Theoretical convergence properties of methods are stated and formal proofs are provided in enough cases to be instructive rather than overwhelming. Practical behavior of methods is illustrated by computational examples and discussions of efficiency accuracy and computational costs. Supporting software for the examples and exercises is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algorithm development and application and in teaching and research supervision.

The overriding philosophy of this text is to provide the instructor with comprehensive coverage of ethical and professional issues encountered by accounting professionals. The book is devoted to helping students cultivate the ethical commitment needed to ensure that their work meets the highest standards of integrity independence and objectivity. Ethical Obligations and Decision Making in Accounting is designed to provide the instructor with the best flexibility and pedagogical effectiveness of any book on the market. To that end it includes numerous features designed to make both learning and teaching easier.

Financial Alarm & Federal Reserve Response