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Readme file for Introduction to OO Programming in Java

Description

This readme file contains details of links to all the Introduction to OO Programming in Java module's material held on Jorum and information about the module as well.

Subjects

ukoer | programming task guide | programming lecture | programming reading material | software design reading material | classes guide | libraries lecture | classes reading material | classes visual aid | software objects guide | graphics reading material | attributes reading material | attributes visual guide | naming conventions reading material | code reading material | java keywords reading material | variables visual guide | arithmetic reading material | java assignment | making decisions task guide | making decisions lecture | making decisions reading material | boolean expressions visual guide | repetition reading material | while loops visual guide | methods reading material | methods practical | access modifiers reading material | objects reading material | classes assignment | classes practical | child classes task guide | inheritance task guide | extending classes lecture | inheritance reading material | inheritance visual guide | inheritance practical | graphics task guide | awt reading material | graphics visual aid | awt class library reading material | event-driven programming reading material | scrollbars reading material | reflective practice visual guide | mobile phone task guide | mobile phone lecture | fixed repitition reading material | fixed repitition visual guide | mobile phone library reading material | mobile phone reading material | arrays task guide | arrays lecture | arrays reading material | arrays visual guide | creating software objects reading material | software objects visual guide | java practical | generic array list task guide | overriding methods reading material | menu and switch task guide | multi-way decisions reading material | multi-way decisions visual guide | searching task guide | searching lecture | searching reading material | software quality task guide | software quality lecture | software quality reading material | programming assignment | applet reading material | classes visual guide | object-oriented programming | object-oriented | programming | java | problem solving | java program | software design | programming languages | computers | class task guide | class reading material | class assignment | class practical | java classes | variables | attributes | arithmetic | java class | classes and arithmetic | classes | class | decisions | boolean expression | boolean expressions | repetition | methods | aggregate classes | access modifier | access modifiers | child classes | inheritance | child class | graphics | awt class library | fixed repetition | for loop | for loops | array | arrays | iteration | software object | definite iteration | generic lists | generic array list | cast | casting | overriding method | overriding methods | generic list | menu-driven program | menu-driven programs | multi-way decisions | menu and switch | search | searching | software quality | testing | software quality and testing | assessment | computers task guide | programming languages task guide | software design task guide | java program task guide | problem-solving task guide | problem solving task guide | object-oriented programming task guide | java task guide | object-oriented task guide | object oriented task guide | computers lecture | programming languages lecture | software design lecture | java program lecture | problem solving lecture | object-oriented programming lecture | java lecture | object oriented programming lecture | object-oriented lecture | computers reading material | programming languages reading material | java program reading material | problem solving reading material | object-oriented programming reading material | java reading material | object-oriented reading material | object oriented reading material | java classes task guide | variables task guide | attributes task guide | arithmetic task guide | java class task guide | classes and arithmetic task guide | classes task guide | java classes lecture | variables lecture | attributes lecture | arithmetic lecture | java class lecture | classes and arithmetic lecture | classes lecture | class lecture | java classes reading material | variables reading material | java class reading material | classes and arithmetic reading material | java classes visual aid | variables visual aid | attributes visual aid | arithmetic visual aid | java class visual aid | classes and arithmetic visual aid | class visual aid | java visual aid | object-oriented programming visual aid | programming visual aid | object-oriented visual aid | decisions task guide | boolean expression task guide | boolean expressions task guide | repetition task guide | methods task guide | decisions lecture | boolean expression lecture | boolean expressions lecture | repetition lecture | methods lecture | decisions reading material | boolean expression reading material | boolean expressions reading material | decisions visual aid | boolean expression visual aid | boolean expressions visual aid | repetition visual aid | methods visual aid | decisions practical | boolean expression practical | boolean expressions practical | repetition practical | programming practical | object oriented programming practical | object-oriented programming practical | object-oriented practical | object oriented practical | aggregate classes task guide | access modifier task guide | access modifiers task guide | aggregate classes lecture | access modifier lecture | access modifiers lecture | aggregate classes reading material | access modifier reading material | aggregate classes assignment | java classes assignment | access modifier assignment | access modifiers assignment | object oriented programming assignment | object-oriented programming assignment | object-oriented assignment | object oriented assignment | child class task guide | child classes lecture | inheritance lecture | child class lecture | child classes reading material | child class reading material | child classes visual aid | inheritance visual aid | child class visual aid | awt class library task guide | graphics lecture | awt class library lecture | awt class library visual aid | graphics assignment | awt class library assignment | fixed repetition task guide | fixed repetition lecture | fixed repetition visual aid | fixed repetition reading material | for loop task guide | for loops task guide | array task guide | iteration task guide | software object task guide | definite iteration task guide | for loop lecture | for loops lecture | array lecture | iteration lecture | software object lecture | definite iteration lecture | for loop reading material | for loops reading material | array reading material | iteration reading material | software object reading material | definite iteration reading material | for loop visual aid | for loops visual aid | array visual aid | arrays visual aid | iteration visual aid | software object visual aid | definite iteration visual aid | generic lists task guide | cast task guide | casting task guide | overriding method task guide | overriding methods task guide | generic list task guide | generic lists lecture | generic array list lecture | cast lecture | casting lecture | overriding method lecture | overriding methods lecture | generic list lecture | generic lists reading material | generic array list reading material | cast reading material | casting reading material | overriding method reading material | generic list reading material | menu-driven program task guide | menu-driven programs task guide | multi-way decisions task guide | menu-driven program lecture | menu-driven programs lecture | multi-way decisions lecture | menu and switch lecture | menu-driven program reading material | menu-driven programs reading material | menu and switch reading material | menu-driven program visual aid | menu-driven programs visual aid | multi-way decisions visual aid | menu and switch visual aid | search task guide | search lecture | search reading material | testing task guide | software quality and testing task guide | testing lecture | software quality and testing lecture | testing reading material | software quality and testing reading material | assessment reading material | assessment assignment | fixed repetition practical | jcreator guide | g622 | oo | oop | oo programming | awt | oo programming task guide | oop task guide | oo task guide | g622 task guide | oo programming lecture | oop lecture | oo lecture | g622 lecture | oo programming reading material | oop reading material | oo reading material | g622 reading material | g622 visual aid | oop visual aid | oo visual aid | oo programming visual aid | g622 practical | oo practical | oo programming practical | oop practical | g622 assignment | oo assignment | oop assignment | oo programming assignment | awt task guide | awt lecture | awt visual aid | awt assignment | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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1.124J Foundations of Software Engineering (MIT) 1.124J Foundations of Software Engineering (MIT)

Description

This is a foundation subject in modern software development techniques for engineering and information technology. The design and development of component-based software (using C# and .NET) is covered; data structures and algorithms for modeling, analysis, and visualization; basic problem-solving techniques; web services; and the management and maintenance of software. Includes a treatment of topics such as sorting and searching algorithms; and numerical simulation techniques. Foundation for in-depth exploration of image processing, computational geometry, finite element methods, network methods and e-business applications. This course is a core requirement for the Information Technology M. Eng. program. This class was also offered in Course 13 (Department of Ocean Engineering) as 13.470J. This is a foundation subject in modern software development techniques for engineering and information technology. The design and development of component-based software (using C# and .NET) is covered; data structures and algorithms for modeling, analysis, and visualization; basic problem-solving techniques; web services; and the management and maintenance of software. Includes a treatment of topics such as sorting and searching algorithms; and numerical simulation techniques. Foundation for in-depth exploration of image processing, computational geometry, finite element methods, network methods and e-business applications. This course is a core requirement for the Information Technology M. Eng. program. This class was also offered in Course 13 (Department of Ocean Engineering) as 13.470J.

Subjects

modern software development | modern software development | engineering and information technology | engineering and information technology | component-based software | component-based software | C# | C# | .NET | .NET | data structures | data structures | algorithms for modeling | algorithms for modeling | analysis | analysis | visualization | visualization | basic problem-solving techniques | basic problem-solving techniques | web services | web services | management and maintenance of software | management and maintenance of software | sorting | sorting | searching | searching | algorithms | algorithms | numerical simulation techniques | numerical simulation techniques | image processing | image processing | computational geometry | computational geometry | finite element methods | finite element methods | network methods | network methods | e-business applications | e-business applications | classes | classes | objects | objects | inheritance | inheritance | virtual functions | virtual functions | abstract classes | abstract classes | polymorphism | polymorphism | Java applications | Java applications | applets | applets | Abstract Windowing Toolkit | Abstract Windowing Toolkit | Graphics | Graphics | Threads | Threads | Java | Java | C++ | C++ | information technology | information technology | engineering | engineering | modeling algorithms | modeling algorithms | basic problem-solving | basic problem-solving | software management | software management | software maintenance | software maintenance | searching algorithms | searching algorithms | numerical simulation | numerical simulation | object oriented programming | object oriented programming | 13.470J | 13.470J | 1.124 | 1.124 | 2.159 | 2.159 | 13.470 | 13.470

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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4.696 A Global History of Architecture Writing Seminar (MIT) 4.696 A Global History of Architecture Writing Seminar (MIT)

Description

Includes audio/video content: AV special element video. This course will study the question of Global Architecture from the point of view of producing a set of lectures on that subject. The course will be run in the form of a writing seminar, except that students will be asked to prepare for the final class an hour-long lecture for an undergraduate survey course. During the semester, students will study the debates about where to locate "the global" and do some comparative analysis of various textbooks. The topic of the final lecture will be worked on during the semester. For that lecture, students will be asked to identify the themes of the survey course, and hand in the bibliography and reading list for their lecture. Includes audio/video content: AV special element video. This course will study the question of Global Architecture from the point of view of producing a set of lectures on that subject. The course will be run in the form of a writing seminar, except that students will be asked to prepare for the final class an hour-long lecture for an undergraduate survey course. During the semester, students will study the debates about where to locate "the global" and do some comparative analysis of various textbooks. The topic of the final lecture will be worked on during the semester. For that lecture, students will be asked to identify the themes of the survey course, and hand in the bibliography and reading list for their lecture.

Subjects

global architectures | global architectures | survey course | survey course | the global | the global | comparative analysis | comparative analysis | researching history | researching history | global perspective | global perspective | architectural history | architectural history | comparative globality | comparative globality | art history | art history | eurocentrism | eurocentrism | ethnocentrism | ethnocentrism | mark kurlansky | mark kurlansky | salt a world history | salt a world history | jared diamond | jared diamond | collapse | collapse | how societies choose to fail or succeed | how societies choose to fail or succeed

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Literature Searching for Education students

Description

A guide to why, and how, to do a literature search - including search strategy, database searching, accessing journal articles and sources of further help.

Subjects

literature_searching education database_searching

License

Copyright Oxford Brookes University, all rights reserved Copyright Oxford Brookes University, all rights reserved

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11.027 City to City: Comparing, Researching and Writing about Cities: New Orleans (MIT) 11.027 City to City: Comparing, Researching and Writing about Cities: New Orleans (MIT)

Description

City to City, as a class, will jump into the complexity of planning in New Orleans, a post-disaster city. City-to-City will ask how a post-disaster city grapple with its ideas of identity, what it is, who it represents, and how it projects its sense of self to residences, businesses, tourists, and to the outside world. In considering its people, how do city planners think about who lives where and why? At the same time, how can city planners celebrate a city's history and its culture and how can these elements be woven into reconstruction? Students will travel from Cambridge to New Orleans over Spring Break to meet and consult with their alumni clients, and continue to work on projects. City to City, as a class, will jump into the complexity of planning in New Orleans, a post-disaster city. City-to-City will ask how a post-disaster city grapple with its ideas of identity, what it is, who it represents, and how it projects its sense of self to residences, businesses, tourists, and to the outside world. In considering its people, how do city planners think about who lives where and why? At the same time, how can city planners celebrate a city's history and its culture and how can these elements be woven into reconstruction? Students will travel from Cambridge to New Orleans over Spring Break to meet and consult with their alumni clients, and continue to work on projects.

Subjects

New Orleans | New Orleans | urban planning | urban planning | recovery | recovery | Hurricane Katrina | Hurricane Katrina | field work | field work | rebuild | rebuild | disaster | disaster | cities | cities | researching | researching | writing | writing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.945 Adventures in Advanced Symbolic Programming (MIT) 6.945 Adventures in Advanced Symbolic Programming (MIT)

Description

This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming assignments are an integral part of the subject. There will be extensive programming assignments, using MIT/GNU Scheme. Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or some other "functional" language. This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming assignments are an integral part of the subject. There will be extensive programming assignments, using MIT/GNU Scheme. Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or some other "functional" language.

Subjects

Scheme | Scheme | symbolic programming | symbolic programming | additive systems | additive systems | generic operations | generic operations | language layers | language layers | pattern-directed invocation | pattern-directed invocation | searching | searching | amb | amb | backtracking | backtracking | propagation systems | propagation systems | constraints | constraints | truth maintenance | truth maintenance | continuations | continuations | structure and interpretation of computer programs | structure and interpretation of computer programs

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.006 Introduction to Algorithms (MIT) 6.006 Introduction to Algorithms (MIT)

Description

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

Subjects

algorithms | algorithms | python | python | python cost model | python cost model | binary search trees | binary search trees | hashing | hashing | sorting | sorting | searching | searching | shortest paths | shortest paths | dynamic programming | dynamic programming | numerics | numerics | document distance | document distance | longest common substring | longest common substring | dijkstra | dijkstra | fibonacci | fibonacci | image resizing | image resizing | chaining | chaining | hash functions | hash functions | priority queues | priority queues | breadth first search | breadth first search | depth first search | depth first search | memoization | memoization | divide and conquer | divide and conquer

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.00 Introduction to Computers and Engineering Problem Solving (MIT) 1.00 Introduction to Computers and Engineering Problem Solving (MIT)

Description

This course teaches fundamental software development and computational methods for engineering, scientific and managerial applications. Emphasis is focused on object-oriented software design and development. Assignments cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. The Java programming language is used. This course teaches fundamental software development and computational methods for engineering, scientific and managerial applications. Emphasis is focused on object-oriented software design and development. Assignments cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. The Java programming language is used.

Subjects

computer | computer | engineering | engineering | problem solving | problem solving | software | software | software development | software development | object oriented | object oriented | programming | programming | graphical user interface | graphical user interface | numerical methods | numerical methods | data structures | data structures | sorting | sorting | searching | searching | computer graphics | computer graphics | Java | Java | C | C | C++ | C++

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.00 Introduction to Computers and Engineering Problem Solving (MIT) 1.00 Introduction to Computers and Engineering Problem Solving (MIT)

Description

This course examines fundamental software development and computational methods for engineering, scientific and managerial applications. Emphasis is placed on object-oriented software design and development. Students engage in active learning using laptop computers (available on loan). Assignments cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. The Java® programming language is used. This course examines fundamental software development and computational methods for engineering, scientific and managerial applications. Emphasis is placed on object-oriented software design and development. Students engage in active learning using laptop computers (available on loan). Assignments cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. The Java® programming language is used.

Subjects

computer | computer | engineering | engineering | problem solving | problem solving | software | software | software development | software development | object oriented | object oriented | programming | programming | graphical user interface | graphical user interface | numerical methods | numerical methods | data structures | data structures | sorting | sorting | searching | searching | computer graphics | computer graphics | Java | Java | C | C | C++ | C++

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.00 Introduction to Computers and Engineering Problem Solving (MIT) 1.00 Introduction to Computers and Engineering Problem Solving (MIT)

Description

This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java® programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where t This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java® programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where t

Subjects

computer | computer | engineering | engineering | problem solving | problem solving | software | software | software development | software development | programming | programming | graphical user interface | graphical user interface | numerical methods | numerical methods | data structures | data structures | sorting | sorting | searching | searching | computer graphics | computer graphics | Java | Java

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.00 Introduction to Computers and Engineering Problem Solving (MIT) 1.00 Introduction to Computers and Engineering Problem Solving (MIT)

Description

This course presents fundamental software development and computational methods for engineering and scientific applications. Object-oriented software design and development is the focus of the course. Weekly programming problems cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. Emphasis is on developing techniques for solving problems in engineering, science, management, and planning. The Java® programming language is used. The course is worth 3 Engineering Design Points.Technical RequirementsAny number of development tools can be used to compile and run the .java files found on this course site. Please refer to the course materials for any specific instructions or recomm This course presents fundamental software development and computational methods for engineering and scientific applications. Object-oriented software design and development is the focus of the course. Weekly programming problems cover programming concepts, graphical user interfaces, numerical methods, data structures, sorting and searching, computer graphics and selected advanced topics. Emphasis is on developing techniques for solving problems in engineering, science, management, and planning. The Java® programming language is used. The course is worth 3 Engineering Design Points.Technical RequirementsAny number of development tools can be used to compile and run the .java files found on this course site. Please refer to the course materials for any specific instructions or recomm

Subjects

computer | computer | engineering | engineering | problem solving | problem solving | software | software | software development | software development | object oriented | object oriented | programming | programming | graphical user interface | graphical user interface | numerical methods | numerical methods | data structures | data structures | sorting | sorting | searching | searching | computer graphics | computer graphics | Java | Java | C | C | C++ | C++

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Introduction to OO Programming in Java - Searching

Description

This task guide forms part of the "Searching" topic in the Introduction to OO Programming in Java module.

Subjects

ukoer | searching task guide | search | searching | object-oriented programming | object-oriented | java | programming | search task guide | object oriented task guide | object-oriented programming task guide | object-oriented task guide | java task guide | programming task guide | oop | oo programming | oo | g622 | oop task guide | oo programming task guide | oo task guide | g622 task guide | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Introduction to OO Programming in Java - Searching

Description

This lecture forms part of the "Searching" topic in the Introduction to OO Programming in Java module.

Subjects

ukoer | searching lecture | search | searching | object-oriented programming | object-oriented | java | programming | search lecture | object-oriented programming lecture | object-oriented lecture | java lecture | programming lecture | object oriented programming lecture | oop | oo programming | oo | g622 | oop lecture | oo programming lecture | oo lecture | g622 lecture | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Introduction to OO Programming in Java - Searching

Description

This reading material forms part of the "Searching" topic in the Introduction to OO Programming in Java module.

Subjects

ukoer | searching reading material | search | searching | object-oriented programming | object-oriented | java | programming | search reading material | object oriented reading material | object-oriented programming reading material | object-oriented reading material | java reading material | programming reading material | oop | oo programming | oo | g622 | oop reading material | oo programming reading material | oo reading material | g622 reading material | Computer science | I100

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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6.856J Randomized Algorithms (MIT) 6.856J Randomized Algorithms (MIT)

Description

This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Topics covered include: randomized computation; data structures (hash tables, skip lists); graph algorithms (minimum spanning trees, shortest paths, minimum cuts); geometric algorithms (convex hulls, linear programming in fixed or arbitrary dimension); approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms. This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Topics covered include: randomized computation; data structures (hash tables, skip lists); graph algorithms (minimum spanning trees, shortest paths, minimum cuts); geometric algorithms (convex hulls, linear programming in fixed or arbitrary dimension); approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms.

Subjects

Randomized Algorithms | Randomized Algorithms | algorithms | algorithms | efficient in time and space | efficient in time and space | randomization | randomization | computational problems | computational problems | data structures | data structures | graph algorithms | graph algorithms | optimization | optimization | geometry | geometry | Markov chains | Markov chains | sampling | sampling | estimation | estimation | geometric algorithms | geometric algorithms | parallel and distributed algorithms | parallel and distributed algorithms | parallel and ditributed algorithm | parallel and ditributed algorithm | parallel and distributed algorithm | parallel and distributed algorithm | random sampling | random sampling | random selection of witnesses | random selection of witnesses | symmetry breaking | symmetry breaking | randomized computational models | randomized computational models | hash tables | hash tables | skip lists | skip lists | minimum spanning trees | minimum spanning trees | shortest paths | shortest paths | minimum cuts | minimum cuts | convex hulls | convex hulls | linear programming | linear programming | fixed dimension | fixed dimension | arbitrary dimension | arbitrary dimension | approximate counting | approximate counting | parallel algorithms | parallel algorithms | online algorithms | online algorithms | derandomization techniques | derandomization techniques | probabilistic analysis | probabilistic analysis | computational number theory | computational number theory | simplicity | simplicity | speed | speed | design | design | basic probability theory | basic probability theory | application | application | randomized complexity classes | randomized complexity classes | game-theoretic techniques | game-theoretic techniques | Chebyshev | Chebyshev | moment inequalities | moment inequalities | limited independence | limited independence | coupon collection | coupon collection | occupancy problems | occupancy problems | tail inequalities | tail inequalities | Chernoff bound | Chernoff bound | conditional expectation | conditional expectation | probabilistic method | probabilistic method | random walks | random walks | algebraic techniques | algebraic techniques | probability amplification | probability amplification | sorting | sorting | searching | searching | combinatorial optimization | combinatorial optimization | approximation | approximation | counting problems | counting problems | distributed algorithms | distributed algorithms | 6.856 | 6.856 | 18.416 | 18.416

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.124J Foundations of Software Engineering (MIT)

Description

This is a foundation subject in modern software development techniques for engineering and information technology. The design and development of component-based software (using C# and .NET) is covered; data structures and algorithms for modeling, analysis, and visualization; basic problem-solving techniques; web services; and the management and maintenance of software. Includes a treatment of topics such as sorting and searching algorithms; and numerical simulation techniques. Foundation for in-depth exploration of image processing, computational geometry, finite element methods, network methods and e-business applications. This course is a core requirement for the Information Technology M. Eng. program. This class was also offered in Course 13 (Department of Ocean Engineering) as 13.470J.

Subjects

modern software development | engineering and information technology | component-based software | C# | .NET | data structures | algorithms for modeling | analysis | visualization | basic problem-solving techniques | web services | management and maintenance of software | sorting | searching | algorithms | numerical simulation techniques | image processing | computational geometry | finite element methods | network methods | e-business applications | classes | objects | inheritance | virtual functions | abstract classes | polymorphism | Java applications | applets | Abstract Windowing Toolkit | Graphics | Threads | Java | C++ | information technology | engineering | modeling algorithms | basic problem-solving | software management | software maintenance | searching algorithms | numerical simulation | object oriented programming | 13.470J | 1.124 | 2.159 | 13.470

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Nottingham advantage award career planning skills Nottingham advantage award career planning skills

Description

This module aims to enable students to think critically about their career planning and become better applicants when applying for employment/postgraduate study, during or after their academic studies. Topics covered will include: •Career Planning Skills •Career researching Skills •Self-Marketing – Applications •Self-Marketing – Interviews •Psychometric Testing •Self-Marketing – Assessment Centres •Guidance on evaluating and recording experience Module Codes: XX1N02 (10 credits) Suitable for study at: Undergraduate Level Method and Frequency of Class: 5 x 2 hour workshops, a mock interview and a tutorial Target Students: This module is available to all students as part of the Nottingham Advantage Award scheme. Prerequisites: None Corequisites: None Offerin This module aims to enable students to think critically about their career planning and become better applicants when applying for employment/postgraduate study, during or after their academic studies. Topics covered will include: •Career Planning Skills •Career researching Skills •Self-Marketing – Applications •Self-Marketing – Interviews •Psychometric Testing •Self-Marketing – Assessment Centres •Guidance on evaluating and recording experience Module Codes: XX1N02 (10 credits) Suitable for study at: Undergraduate Level Method and Frequency of Class: 5 x 2 hour workshops, a mock interview and a tutorial Target Students: This module is available to all students as part of the Nottingham Advantage Award scheme. Prerequisites: None Corequisites: None Offerin

Subjects

UNow | UNow | UKOER | UKOER | XX1N02 | XX1N02 | Career | Career | applicants | applicants | PARiS | PARiS | employability | employability | researching | researching | interviews | interviews | assessment | assessment

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Information literacy for communication students

Description

Library training session run for CMC and ELC students as part of academic literacy module

Subjects

communication media culture academic literacy advanced searching databases english language communication library

License

Copyright Oxford Brookes University, all rights reserved Copyright Oxford Brookes University, all rights reserved

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Information skills module

Description

This is a resource that introduces library skills and the Internet for beginners, students and staff. Developed in 2001, it is somewhat dated now, but the Web links have been updated and it remains a useful package. It covers topics including using the library catalogue and online searches; stock arrangement and classification; using the Web, search engines and subject gateways; using abstracts and indexes to find articles; reference collections; and evaluation and citation of sources. The project is structured into component activities and tasks (some 20-30 hours of material in all). Some links are specific to Staffordshire University, for which local links can be substituted in re-purposing the package.

Subjects

information skills | library skills | citing sources | citations | library catalogs | library catalogues | online resources | classification | search engines | subject gateways | abstracts | indexes | internet searching | web resources | Library and Information Science | Information Science | INFORMATION | Education | Employability | Students | UK EL09 = SCQF 9 | Ordinary degree | NICAT 6 | CQFW 6 | NVQ 5 | SVQ 5 | Ordinary degree | Graduate certific | UK EL10 = SCQF 10 | Honours degree | Graduate diploma | X000 | EDUCATION / TRAINING / TEACHING | INFORMATION TECHNOLOGY and INFORMATION | G | C

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Finding things with Discover

Description

Teaching Fellowship project.

Subjects

library | Discover | information_literacy | searching

License

copyright Oxford Brookes University, except where indicated in the item description. Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License. copyright Oxford Brookes University, except where indicated in the item description. This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License.

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How to use the Education databases to find journal articles

Description

Teaching Fellowship project.

Subjects

library | databases | information_literacy | journal_articles | searching

License

copyright Oxford Brookes University, except where indicated in the item description. Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License. copyright Oxford Brookes University, except where indicated in the item description. This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License.

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The Skills Hub

Description

The Skills Hub is an open access resource containing videos, guides, interactive tutorials and blog posts covering core academic skills, such as information evaluation, referencing, writing skills and critical thinking skills. The OERs cover an array of levels, from A-level through to postgraduate and research. It is for use by students, schools, researchers and the community. The material on the Skills Hub is mainly created in-house by Library and Learning Services staff at the University of Northampton, in particular, by Academic Librarians and Academic Practice Tutors. In addition, we have selected material from other external open access sources that we think is valuable.

Subjects

researching | critical thinking | writing skills | reading skills | referencing | presentation skills | plagiarism | statistics | SPSS | data analysis | Turnitin | | literature review | Education | X000

License

Attribution-NonCommercial-ShareAlike 3.0 Unported Attribution-NonCommercial-ShareAlike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ http://creativecommons.org/licenses/by-nc-sa/3.0/

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Planning ahead: making your search work

Description

"Searching for information is easy. Finding a manageable number of high-quality, relevant results can be more difficult. This resource explores the process of planning a search to ensure that you get the best results for your work. It also highlights techniques you can use to refine your searches if you don’t get the results you expect first time around."

Subjects

information literacy | finding information | literature searching | planning a literature search | My Learning Essentials

License

Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/

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4.696 A Global History of Architecture Writing Seminar (MIT)

Description

This course will study the question of Global Architecture from the point of view of producing a set of lectures on that subject. The course will be run in the form of a writing seminar, except that students will be asked to prepare for the final class an hour-long lecture for an undergraduate survey course. During the semester, students will study the debates about where to locate "the global" and do some comparative analysis of various textbooks. The topic of the final lecture will be worked on during the semester. For that lecture, students will be asked to identify the themes of the survey course, and hand in the bibliography and reading list for their lecture.

Subjects

global architectures | survey course | the global | comparative analysis | researching history | global perspective | architectural history | comparative globality | art history | eurocentrism | ethnocentrism | mark kurlansky | salt a world history | jared diamond | collapse | how societies choose to fail or succeed

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Foundations in evidence based practice

Description

Physiotherapy The School operates from education centres across Derbyshire, Lincolnshire and Nottinghamshire providing pre-registration, post-registration, degree and higher degree courses. Learning in practice occurs in acute and community settings within local NHS Health Care Trusts and across the voluntary and social service sectors. Research within the school focuses on supportive and palliative care; education and health informatics; mental health; and child and maternal health. The University received the best possible outcome in all categories within the Major Review of healthcare programmes which took place in 2006

Subjects

ukoer | evidence based practice | reflective thinking and writing | portfolio development skills | literature searching | resource discovery | citing and referencing | reviewing literature | virtual portfolio | law and ethics | Subjects allied to medicine | B000

License

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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