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Structured Computer Organization by Andrew S. Tanenbaum

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1Structured Computer Organization

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5SM Structured Computer Organization I/M

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6ERIC ED644197: Structuring Topics Of Philippine Universities' Introductory Programming Courses Using Semi-Supervised Pairwise-Constrained Clustering To Synthesize Alternative Course Topic Outlines In Course Design, Topic Outline Organization Encompasses The Structuring And Sequencing Of Topics To Be Delivered In A Learning Environment. Recent Studies In Topic Outline Optimization Revolve Around Massive Open Online Courses (MOOCs) Due To Their Abundance But Not Much Has Been Studied On The Traditional Courses. This Study Investigates The Organization Of Topic Outlines In Traditional Introductory Programming Courses Across Philippine Higher Education Institutions (HEIs) And Evaluates The Viability Of The Synthesized Alternative Topic Outlines. Course Syllabi Were Collected From 16 HEIs. A Topic Precedence Graph (TPG) Model That Provides A Structured Overview Of The Introductory Programming Was Created Via A Semi-supervised Pairwise Constrained K-means (PCK-Means) Clustering To Structure The Topics Which Produced 20 Topic Clusters With Strong Topic Cohesion Within The Clusters. The TPG Showed That HEIs Tend To Start The Outline Similarly, Followed By Core Programming Topics With Varied Sequences, And Divergent Ways Of Ending The Outline. Two Anomaly Clusters Were Identified As Having Topic Titles Grouped That Do Not Seem To Have A Unifying Topic. Limitations Of The Clustering Algorithm Are Identified Where It Cannot Identify Semantic Meaning Between Words Which May Affect Its Applicability In Situations Where Topic Titles Are Named Inconsistently. From The TPG, Alternative Optimal And Comprehensive Topic Outlines Were Synthesized Via Greedy And DFS Graph Traversal Algorithms. However, These Alternative Outlines Performed Very Poorly When Compared With The Evaluators' (n=19) Arrangement Of Topic Outlines Due To Some Prerequisite Topics Being Discussed In The Latter Part Already. Overall, This Study Introduces A Method To Incorporate Computer Science Technologies In Structuring Topics Across HEIs And Aiding Educators In Topic Outline Design But More Research Is Needed Before It Can Be Implemented In A Real Classroom Setting.

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In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the organization of topic outlines in traditional introductory programming courses across Philippine higher education institutions (HEIs) and evaluates the viability of the synthesized alternative topic outlines. Course syllabi were collected from 16 HEIs. A topic precedence graph (TPG) model that provides a structured overview of the introductory programming was created via a semi-supervised pairwise constrained k-means (PCK-Means) clustering to structure the topics which produced 20 topic clusters with strong topic cohesion within the clusters. The TPG showed that HEIs tend to start the outline similarly, followed by core programming topics with varied sequences, and divergent ways of ending the outline. Two anomaly clusters were identified as having topic titles grouped that do not seem to have a unifying topic. Limitations of the clustering algorithm are identified where it cannot identify semantic meaning between words which may affect its applicability in situations where topic titles are named inconsistently. From the TPG, alternative optimal and comprehensive topic outlines were synthesized via greedy and DFS graph traversal algorithms. However, these alternative outlines performed very poorly when compared with the evaluators' (n=19) arrangement of topic outlines due to some prerequisite topics being discussed in the latter part already. Overall, this study introduces a method to incorporate computer science technologies in structuring topics across HEIs and aiding educators in topic outline design but more research is needed before it can be implemented in a real classroom setting.

“ERIC ED644197: Structuring Topics Of Philippine Universities' Introductory Programming Courses Using Semi-Supervised Pairwise-Constrained Clustering To Synthesize Alternative Course Topic Outlines In Course Design, Topic Outline Organization Encompasses The Structuring And Sequencing Of Topics To Be Delivered In A Learning Environment. Recent Studies In Topic Outline Optimization Revolve Around Massive Open Online Courses (MOOCs) Due To Their Abundance But Not Much Has Been Studied On The Traditional Courses. This Study Investigates The Organization Of Topic Outlines In Traditional Introductory Programming Courses Across Philippine Higher Education Institutions (HEIs) And Evaluates The Viability Of The Synthesized Alternative Topic Outlines. Course Syllabi Were Collected From 16 HEIs. A Topic Precedence Graph (TPG) Model That Provides A Structured Overview Of The Introductory Programming Was Created Via A Semi-supervised Pairwise Constrained K-means (PCK-Means) Clustering To Structure The Topics Which Produced 20 Topic Clusters With Strong Topic Cohesion Within The Clusters. The TPG Showed That HEIs Tend To Start The Outline Similarly, Followed By Core Programming Topics With Varied Sequences, And Divergent Ways Of Ending The Outline. Two Anomaly Clusters Were Identified As Having Topic Titles Grouped That Do Not Seem To Have A Unifying Topic. Limitations Of The Clustering Algorithm Are Identified Where It Cannot Identify Semantic Meaning Between Words Which May Affect Its Applicability In Situations Where Topic Titles Are Named Inconsistently. From The TPG, Alternative Optimal And Comprehensive Topic Outlines Were Synthesized Via Greedy And DFS Graph Traversal Algorithms. However, These Alternative Outlines Performed Very Poorly When Compared With The Evaluators' (n=19) Arrangement Of Topic Outlines Due To Some Prerequisite Topics Being Discussed In The Latter Part Already. Overall, This Study Introduces A Method To Incorporate Computer Science Technologies In Structuring Topics Across HEIs And Aiding Educators In Topic Outline Design But More Research Is Needed Before It Can Be Implemented In A Real Classroom Setting.” Metadata:

  • Title: ➤  ERIC ED644197: Structuring Topics Of Philippine Universities' Introductory Programming Courses Using Semi-Supervised Pairwise-Constrained Clustering To Synthesize Alternative Course Topic Outlines In Course Design, Topic Outline Organization Encompasses The Structuring And Sequencing Of Topics To Be Delivered In A Learning Environment. Recent Studies In Topic Outline Optimization Revolve Around Massive Open Online Courses (MOOCs) Due To Their Abundance But Not Much Has Been Studied On The Traditional Courses. This Study Investigates The Organization Of Topic Outlines In Traditional Introductory Programming Courses Across Philippine Higher Education Institutions (HEIs) And Evaluates The Viability Of The Synthesized Alternative Topic Outlines. Course Syllabi Were Collected From 16 HEIs. A Topic Precedence Graph (TPG) Model That Provides A Structured Overview Of The Introductory Programming Was Created Via A Semi-supervised Pairwise Constrained K-means (PCK-Means) Clustering To Structure The Topics Which Produced 20 Topic Clusters With Strong Topic Cohesion Within The Clusters. The TPG Showed That HEIs Tend To Start The Outline Similarly, Followed By Core Programming Topics With Varied Sequences, And Divergent Ways Of Ending The Outline. Two Anomaly Clusters Were Identified As Having Topic Titles Grouped That Do Not Seem To Have A Unifying Topic. Limitations Of The Clustering Algorithm Are Identified Where It Cannot Identify Semantic Meaning Between Words Which May Affect Its Applicability In Situations Where Topic Titles Are Named Inconsistently. From The TPG, Alternative Optimal And Comprehensive Topic Outlines Were Synthesized Via Greedy And DFS Graph Traversal Algorithms. However, These Alternative Outlines Performed Very Poorly When Compared With The Evaluators' (n=19) Arrangement Of Topic Outlines Due To Some Prerequisite Topics Being Discussed In The Latter Part Already. Overall, This Study Introduces A Method To Incorporate Computer Science Technologies In Structuring Topics Across HEIs And Aiding Educators In Topic Outline Design But More Research Is Needed Before It Can Be Implemented In A Real Classroom Setting.
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  • Language: English

“ERIC ED644197: Structuring Topics Of Philippine Universities' Introductory Programming Courses Using Semi-Supervised Pairwise-Constrained Clustering To Synthesize Alternative Course Topic Outlines In Course Design, Topic Outline Organization Encompasses The Structuring And Sequencing Of Topics To Be Delivered In A Learning Environment. Recent Studies In Topic Outline Optimization Revolve Around Massive Open Online Courses (MOOCs) Due To Their Abundance But Not Much Has Been Studied On The Traditional Courses. This Study Investigates The Organization Of Topic Outlines In Traditional Introductory Programming Courses Across Philippine Higher Education Institutions (HEIs) And Evaluates The Viability Of The Synthesized Alternative Topic Outlines. Course Syllabi Were Collected From 16 HEIs. A Topic Precedence Graph (TPG) Model That Provides A Structured Overview Of The Introductory Programming Was Created Via A Semi-supervised Pairwise Constrained K-means (PCK-Means) Clustering To Structure The Topics Which Produced 20 Topic Clusters With Strong Topic Cohesion Within The Clusters. The TPG Showed That HEIs Tend To Start The Outline Similarly, Followed By Core Programming Topics With Varied Sequences, And Divergent Ways Of Ending The Outline. Two Anomaly Clusters Were Identified As Having Topic Titles Grouped That Do Not Seem To Have A Unifying Topic. Limitations Of The Clustering Algorithm Are Identified Where It Cannot Identify Semantic Meaning Between Words Which May Affect Its Applicability In Situations Where Topic Titles Are Named Inconsistently. From The TPG, Alternative Optimal And Comprehensive Topic Outlines Were Synthesized Via Greedy And DFS Graph Traversal Algorithms. However, These Alternative Outlines Performed Very Poorly When Compared With The Evaluators' (n=19) Arrangement Of Topic Outlines Due To Some Prerequisite Topics Being Discussed In The Latter Part Already. Overall, This Study Introduces A Method To Incorporate Computer Science Technologies In Structuring Topics Across HEIs And Aiding Educators In Topic Outline Design But More Research Is Needed Before It Can Be Implemented In A Real Classroom Setting.” Subjects and Themes:

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Find ERIC ED644197: Structuring Topics Of Philippine Universities' Introductory Programming Courses Using Semi-Supervised Pairwise-Constrained Clustering To Synthesize Alternative Course Topic Outlines In Course Design, Topic Outline Organization Encompasses The Structuring And Sequencing Of Topics To Be Delivered In A Learning Environment. Recent Studies In Topic Outline Optimization Revolve Around Massive Open Online Courses (MOOCs) Due To Their Abundance But Not Much Has Been Studied On The Traditional Courses. This Study Investigates The Organization Of Topic Outlines In Traditional Introductory Programming Courses Across Philippine Higher Education Institutions (HEIs) And Evaluates The Viability Of The Synthesized Alternative Topic Outlines. Course Syllabi Were Collected From 16 HEIs. A Topic Precedence Graph (TPG) Model That Provides A Structured Overview Of The Introductory Programming Was Created Via A Semi-supervised Pairwise Constrained K-means (PCK-Means) Clustering To Structure The Topics Which Produced 20 Topic Clusters With Strong Topic Cohesion Within The Clusters. The TPG Showed That HEIs Tend To Start The Outline Similarly, Followed By Core Programming Topics With Varied Sequences, And Divergent Ways Of Ending The Outline. Two Anomaly Clusters Were Identified As Having Topic Titles Grouped That Do Not Seem To Have A Unifying Topic. Limitations Of The Clustering Algorithm Are Identified Where It Cannot Identify Semantic Meaning Between Words Which May Affect Its Applicability In Situations Where Topic Titles Are Named Inconsistently. From The TPG, Alternative Optimal And Comprehensive Topic Outlines Were Synthesized Via Greedy And DFS Graph Traversal Algorithms. However, These Alternative Outlines Performed Very Poorly When Compared With The Evaluators' (n=19) Arrangement Of Topic Outlines Due To Some Prerequisite Topics Being Discussed In The Latter Part Already. Overall, This Study Introduces A Method To Incorporate Computer Science Technologies In Structuring Topics Across HEIs And Aiding Educators In Topic Outline Design But More Research Is Needed Before It Can Be Implemented In A Real Classroom Setting. at online marketplaces:


7Structured Computer Organization

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In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the organization of topic outlines in traditional introductory programming courses across Philippine higher education institutions (HEIs) and evaluates the viability of the synthesized alternative topic outlines. Course syllabi were collected from 16 HEIs. A topic precedence graph (TPG) model that provides a structured overview of the introductory programming was created via a semi-supervised pairwise constrained k-means (PCK-Means) clustering to structure the topics which produced 20 topic clusters with strong topic cohesion within the clusters. The TPG showed that HEIs tend to start the outline similarly, followed by core programming topics with varied sequences, and divergent ways of ending the outline. Two anomaly clusters were identified as having topic titles grouped that do not seem to have a unifying topic. Limitations of the clustering algorithm are identified where it cannot identify semantic meaning between words which may affect its applicability in situations where topic titles are named inconsistently. From the TPG, alternative optimal and comprehensive topic outlines were synthesized via greedy and DFS graph traversal algorithms. However, these alternative outlines performed very poorly when compared with the evaluators' (n=19) arrangement of topic outlines due to some prerequisite topics being discussed in the latter part already. Overall, this study introduces a method to incorporate computer science technologies in structuring topics across HEIs and aiding educators in topic outline design but more research is needed before it can be implemented in a real classroom setting.

“Structured Computer Organization” Metadata:

  • Title: ➤  Structured Computer Organization
  • Author:
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1266.09 Mbs, the file-s for this book were downloaded 468 times, the file-s went public at Sat Jul 10 2021.

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8Structured Computer Organization

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In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the organization of topic outlines in traditional introductory programming courses across Philippine higher education institutions (HEIs) and evaluates the viability of the synthesized alternative topic outlines. Course syllabi were collected from 16 HEIs. A topic precedence graph (TPG) model that provides a structured overview of the introductory programming was created via a semi-supervised pairwise constrained k-means (PCK-Means) clustering to structure the topics which produced 20 topic clusters with strong topic cohesion within the clusters. The TPG showed that HEIs tend to start the outline similarly, followed by core programming topics with varied sequences, and divergent ways of ending the outline. Two anomaly clusters were identified as having topic titles grouped that do not seem to have a unifying topic. Limitations of the clustering algorithm are identified where it cannot identify semantic meaning between words which may affect its applicability in situations where topic titles are named inconsistently. From the TPG, alternative optimal and comprehensive topic outlines were synthesized via greedy and DFS graph traversal algorithms. However, these alternative outlines performed very poorly when compared with the evaluators' (n=19) arrangement of topic outlines due to some prerequisite topics being discussed in the latter part already. Overall, this study introduces a method to incorporate computer science technologies in structuring topics across HEIs and aiding educators in topic outline design but more research is needed before it can be implemented in a real classroom setting.

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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1101.67 Mbs, the file-s for this book were downloaded 182 times, the file-s went public at Wed Sep 02 2020.

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9Introducing Production Innovation Into An Organization : Structured Methods For Producing Computer Software

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Includes bibliographical references (p. 29-30)

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  • Title: ➤  Introducing Production Innovation Into An Organization : Structured Methods For Producing Computer Software
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The book is available for download in "texts" format, the size of the file-s is: 43.73 Mbs, the file-s for this book were downloaded 720 times, the file-s went public at Thu Aug 28 2008.

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10Structured Computer Organization

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Includes bibliographical references (p. 29-30)

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The book is available for download in "texts" format, the size of the file-s is: 1044.08 Mbs, the file-s for this book were downloaded 340 times, the file-s went public at Tue Dec 01 2020.

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11Structured Computer Organization

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Includes bibliographical references (p. 29-30)

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The book is available for download in "texts" format, the size of the file-s is: 1385.45 Mbs, the file-s for this book were downloaded 671 times, the file-s went public at Mon May 03 2021.

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12Introducing Production Innovation Into An Organization : Structured Methods For Producing Computer Software

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Includes bibliographical references (p. 30-32)

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The book is available for download in "texts" format, the size of the file-s is: 49.91 Mbs, the file-s for this book were downloaded 501 times, the file-s went public at Thu Aug 28 2008.

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1Sm Structured Computer Organization I/m

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  • Title: ➤  Sm Structured Computer Organization I/m
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  • Number of Pages: Median: 64
  • Publisher: Prentice-Hall
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Access and General Info:

  • First Year Published: 1990
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

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