TAILIEUCHUNG - A Concise and Practical Introduction to Programming Algorithms in Java

This concise textbook has been primarily designed for undergraduate students as a very first course in programming. The book requires no prior knowledge of programming nor algorithms. It provides a gentle introduction to these topics. | A Concise and Practical Introduction to Programming Algorithms in Java 0 Springer UTiCS Undergraduate Topics in Computer Science Undergraduate Topics in Computer Science UTiCS delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications UTiCS books take a fresh concise and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields reviewed by an international advisory board and contain numerous examples and problems. Many include fully worked solutions. Also in this series Iain D. Craig Object-Oriented Programming Languages Interpretation 978-1-84628-773-2 Max Bramer Principles of Data Mining 978-1-84628-765-7 Hanne Riis Nielson and Flemming Nielson Semantics with Applications An Appetizer 978-1-84628-691-9 Michael Kifer and Scott A. Smolka Introduction to Operating System Design and Implementation The OSP 2 Approcah 978-1-84628-842-5 Phil Brooke and Richard Paige Practical Distributed Processing 978-1-84628-840-1 Frank Klawonn Computer Graphics with Java 978-1-84628-847-0 David Salomon A Concise Introduction to Data Compression 978-1-84800-071-1 David Makinson Sets Logic and Maths for Computing 978-1-84628-844-9 Orit Hazzan Agile Software Engineering 978-1-84800-198-5 Pankaj Jalote A Concise Introduction to Software Engineering 978-1-84800-301-9 Alan P. Parkes A Concise Introduction to Languages and Machines 978-1-84800-120-6 Gilles Dowek Principles of Programming Languages .

• Hệ điều hành
• Declaring constants
• A minimalist program
• Keyboard input
• Note to instructors
• Blocks of instructions
• Logarithmic mean
• Learning programming
• Visual Basic
• Net
• Lecture Learning programming
• Representing data
• Data categorization
• Literal constants
• Declaring variables
• Logarithmic mean divisia index decomposition
• Iron and steel industry
• Steel industry
• Energy related CO2 emissions
• The driving forces of change