Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

How to Design Programs: Literary Connections, Pedagogical basis & The Teaching Languages and DrRacket

How to Design Programs (HtDP) is a textbook by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi on the systematic design of computer programs. MIT Press published the first edition in 2001 and the second edition in 2018. In addition to the for-purchase paperback, it is also freely available online.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

How to Design Programs topic overview

The analysis highlights Literary Connections, Pedagogical basis and The Teaching Languages and DrRacket as prominent areas in the source structure around How to Design Programs.

Related topics
19
Source areas
4
Connected nodes
23
Extracted relationships
24
Concept neighborhoods
17
Bridge connections
23

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 8 topics
Pedagogical basis · 6 topics
The Teaching Languages and DrRacket · 4 topics
The Design Recipe · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Author
Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi
Genre
Textbook
Publication date
February 12, 2001
Publisher
MIT Press
LC Class
QA76.6 .H697 2001
Media type
print

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

The Design Recipe

The Teaching Languages and DrRacket

Pedagogical basis

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How How to Design Programs connects Entity context

The extracted context around How to Design Programs shows recurring relationship patterns in the source. For example, How to Design Programs → Computer Programs, Computer Science Curriculum, Design Programs, How, HtDP, In, Interpretation, It, Scheme, SICP, Structure, The, The Structure Another extracted example is How to Design Programs → Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi. Use these groups to spot repeated connection types before inspecting the individual relationships.

How to Design Programs

Top relations

related to Pedagogical basis · 13
How to Design Programs → Computer Programs, Computer Science Curriculum, Design Programs, How, HtDP, In, Interpretation, It, Scheme, SICP, Structure, The, The Structure
Author · 1
How to Design Programs → Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi
Genre · 1
How to Design Programs → Textbook
ISBN · 1
How to Design Programs → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…
LC Class · 1
How to Design Programs → QA76.6 .H697 2001
Media type · 1
How to Design Programs → print
Pages · 1
How to Design Programs → 720
Publication date · 1
How to Design Programs → February 12, 2001
Publication place · 1
How to Design Programs → United States
Publisher · 1
How to Design Programs → MIT Press

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

htdp design programming data sicp paper programs book teaching language program one languages computer knowledge focus first textbook domain process

How to Design Programs relationships Subject–Predicate–Object triples

TTTA extracted 24 structured relationships around How to Design Programs. Examples in this analysis include How to Design Programs → Author → Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi and How to Design Programs → Genre → Textbook. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
How to Design ProgramsAuthorMatthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi1.00infobox
How to Design ProgramsGenreTextbook1.00infobox
How to Design ProgramsISBN.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r…1.00infobox
How to Design ProgramsLC ClassQA76.6 .H697 20011.00infobox
How to Design ProgramsMedia typeprint1.00infobox
How to Design ProgramsPages7201.00infobox
How to Design ProgramsPublication dateFebruary 12, 20011.00infobox
How to Design ProgramsPublication placeUnited States1.00infobox
How to Design ProgramsPublisherMIT Press1.00infobox
How to Design ProgramsSubjectComputer programming1.00infobox
How to Design ProgramsWebsitehtdp.org1.00infobox
How to Design Programsrelated to Pedagogical basisIn0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around How to Design Programs bring nearby vocabulary together. In this analysis, examples include Programs, Problem and Process. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • How to Design Programs
    • Programs
    • Problem
    • Process
    • Computer
    • Focus
    • Teaching
    • Program
    • Sicp
    • Bruce
    • Felleisen
    • Findler
    • Flatt
  • how to design programs
    • Programs
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
    • Problem
    • Process
    • Recipe
    • Robert
    • Shriram
  • matthias felleisen
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
    • Robert
    • Shriram
    • Textbook
    • Mit
    • Press
    • Programs
  • robert bruce findler
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
    • Robert
    • Shriram
    • Textbook
    • Computer
    • Mit
    • Press
  • computer programs
    • Programs
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
    • Robert
    • Shriram
    • Pedagogical
    • Textbook
    • Recipe
  • data
    • Program
    • Problem
    • Process
    • Starts
    • Programming
    • Design
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
  • structure and interpretation of computer programs
    • Programs
    • Felleisen
    • Findler
    • Flatt
    • Krishnamurthi
    • Matthew
    • Matthias
    • Robert
    • Shriram
    • Pedagogical
    • Textbook
    • Recipe
  • the design recipe
    • Programs
    • Press
    • Problem
    • Process
    • Robert
    • Shriram
    • Computer
    • Focus
    • Teaching
    • Program
    • Pedagogical
    • Starts

Connections between topic areas Semantic bridges

For How to Design Programs, one of the stronger structural bridges in this analysis connects How to Design Programs with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
How to Design Programs — Overview · splits 15 ⟂ 9
How to Design Programs — Pedagogical basis · splits 17 ⟂ 7
How to Design Programs — The Teaching Languages and DrRacket · splits 19 ⟂ 5

Map overview Semantic statistics

How to Design Programs

Nodes24
Edges23
Triples24
Avg. degree1.92
Density0.083333
Components1

Source & methodology

TTTA analyzes the structure around How to Design Programs to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, Pedagogical basis & The Teaching Languages and DrRacket, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — How to Design Programs · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.