Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (22)
- Programming Languages and Compilers (13)
- Other Computer Sciences (7)
- Software Engineering (7)
- Artificial Intelligence and Robotics (2)
-
- Arts and Humanities (2)
- Databases and Information Systems (2)
- Social and Behavioral Sciences (2)
- Statistics and Probability (2)
- American Art and Architecture (1)
- Applied Statistics (1)
- Architectural History and Criticism (1)
- Architecture (1)
- Computer Engineering (1)
- Digital Humanities (1)
- Education (1)
- Engineering (1)
- Historic Preservation and Conservation (1)
- History of Art, Architecture, and Archaeology (1)
- Information Security (1)
- Institutional and Historical (1)
- Life Sciences (1)
- Numerical Analysis and Scientific Computing (1)
- Photography (1)
- Statistical Models (1)
- Keyword
-
- Scala (7)
- Software engineering (6)
- CS0 (5)
- CS04ALL (5)
- Programming languages (4)
-
- Syllabus (3)
- Course (2)
- Python (2)
- ARCGIS (1)
- AST (1)
- Accessibility (1)
- Architecture (1)
- Bash (1)
- Brooklyn (1)
- Collections (1)
- Command Line (1)
- Control-flow graphs (1)
- Cryptography (1)
- Data science (1)
- Disabilities (1)
- ESRI (1)
- Eclipse (1)
- GBL (1)
- GIS (1)
- Game-based learning (1)
- Games (1)
- Google Earth (1)
- Historic Maps (1)
- Historic research (1)
- Inheritance (1)
Articles 1 - 24 of 24
Full-Text Articles in Physical Sciences and Mathematics
Csc 71010/Csci 77100: Programming Languages/Software Engineering, Raffi T. Khatchadourian
Csc 71010/Csci 77100: Programming Languages/Software Engineering, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Wala Quick Start, Raffi T. Khatchadourian
Wala Quick Start, Raffi T. Khatchadourian
Open Educational Resources
Setting up and trying the TJ Watson Library for Analysis (WALA).
Building An Ast Eclipse Plug-In, Raffi T. Khatchadourian
Building An Ast Eclipse Plug-In, Raffi T. Khatchadourian
Open Educational Resources
Complete the Building an AST Eclipse Plug-in assignment. Once it works, find a medium-sized open-source Java project to run your plugin on. You may want to explore GitHub. Import the project into Eclipse and run your plug-in on it. Report on the following, which may require you to change some of the source code so that it is convenient:
- Project name.
- Project URL.
- Project description.
- The number of classes in the project.
- The number of user-defined methods in the project.
- For each class, the number of method calls.
- Statistics about the method calls:
- The total number of method calls …
Working With Control-Flow Graphs, Raffi T. Khatchadourian
Working With Control-Flow Graphs, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
A Course In Data Science: R And Prediction Modeling, Adam Kapelner
A Course In Data Science: R And Prediction Modeling, Adam Kapelner
Open Educational Resources
This is a self-contained course in data science and machine learning using R. It covers philosophy of modeling with data, prediction via linear models, machine learning including support vector machines and random forests, probability estimation and asymmetric costs using logistic regression and probit regression, underfitting vs. overfitting, model validation, handling missingness and much more. There is formal instruction of data manipulation using dplyr and data.table, visualization using ggplot2 and statistical computing.
Csci 40500/77100: Software Engineering, Raffi T. Khatchadourian
Csci 40500/77100: Software Engineering, Raffi T. Khatchadourian
Open Educational Resources
This course is intended to be an introductory survey on the fundamental concepts and principles that underlie current and emerging methods, tools, and techniques for the efficient engineering of high-quality software systems. This may include understanding and appreciating problems in large-scale software development such as functional analysis of information processing systems, system design concepts, timing estimates, documentation, and system testing.
Csci 40500/77100: Software Engineering, Raffi T. Khatchadourian
Csci 40500/77100: Software Engineering, Raffi T. Khatchadourian
Open Educational Resources
This course is intended to be an introductory survey on the fundamental concepts and principles that underlie current and emerging methods, tools, and techniques for the efficient engineering of high-quality software systems. This may include understanding and appreciating problems in large-scale software development such as functional analysis of information processing systems, system design concepts, timing estimates, documentation, and system testing.
Accessibility: Disabilities Treasure Hunt, Devorah Kletenik
Accessibility: Disabilities Treasure Hunt, Devorah Kletenik
Open Educational Resources
This is a treasure hunt game that simulates various disabilities and gives a sense of how frustrating non-accessible content can be for people with disabilities. Suitable for a general audience, no programming experience necessary.
An editable copy is also given, along with ideas about how to make it more accessible.
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 5, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 5, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Collections In Scala, Raffi T. Khatchadourian
Collections In Scala, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 4, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 4, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 3, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 3, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Csci 49380/79526: Fundamentals Of Reactive Programming- Assignment 1, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming- Assignment 1, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming- Syllabus, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 2, Raffi T. Khatchadourian
Csci 49380/79526: Fundamentals Of Reactive Programming - Assignment 2, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Inheritance Details In Scala, Raffi T. Khatchadourian
Inheritance Details In Scala, Raffi T. Khatchadourian
Open Educational Resources
No abstract provided.
Mapping In The Humanities: Gis Lessons For Poets, Historians, And Scientists, Emily W. Fairey
Mapping In The Humanities: Gis Lessons For Poets, Historians, And Scientists, Emily W. Fairey
Open Educational Resources
User-friendly Geographic Information Systems (GIS) is the common thread of this collection of presentations, and activities with full lesson plans. The first section of the site contains an overview of cartography, the art of creating maps, and then looks at historical mapping platforms like Hypercities and Donald Rumsey Historical Mapping Project. In the next section Google Earth Desktop Pro is introduced, with lessons and activities on the basics of GE such as pins, paths, and kml files, as well as a more complex activity on "georeferencing" an historic map over Google Earth imagery. The final section deals with ARCGIS Online …
Cs04all: Cryptography Module, Hunter R. Johnson
Cs04all: Cryptography Module, Hunter R. Johnson
Open Educational Resources
Cryptography module
This archive contains a series of lessons on cryptography suitable for use in a CS0 course. The only requirement is familiarity with Python, particularly dictionaries, lists, and file IO. It is also assumed that students know how to create stand-alone Python programs and interact with them through the terminal. Most of the work is done in Jupyter notebooks.
The material found in the notebooks is a combination of reading material, exercises, activities and assignments. Below are descriptions of each lesson or assignment and links to notebooks on Cocalc. The same files are available for batch download in this …
Cs04all: Command Line Python, Hunter R. Johnson
Cs04all: Command Line Python, Hunter R. Johnson
Open Educational Resources
Command Line Tutorial
Students are presented with information relating to stand alone Python programs, stdin, stdout, and command line arguments. This is a lab exercise. After completion students should be able to create executable Python programs which can accept input from stdin or command line arguments.
Please begin with the READ_ME file.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/stdin?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Cs04all: Machine Learning Module, Hunter R. Johnson
Cs04all: Machine Learning Module, Hunter R. Johnson
Open Educational Resources
These are materials that may be used in a CS0 course as a light introduction to machine learning.
The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.
There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. …
Cs04all: Natural Language Processing Project, Hunter R. Johnson
Cs04all: Natural Language Processing Project, Hunter R. Johnson
Open Educational Resources
In this archive there are two activities/assignments suitable for use in a CS0 or Intro course which uses Python.
In the first activity, students are asked to "fill in the code" in a series of short programs that compute a similarity metric (cosine similarity) for text documents. This involves string tokenization, and frequency counting using Python string methods and datatypes.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Proj1?viewer=share/
In the second activity (taken directly from Think Python 2e) students use a pronunciation dictionary to solve a riddle involving homophones.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Dicts2?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Cs04all: List Comprehensions, Hunter R. Johnson
Cs04all: List Comprehensions, Hunter R. Johnson
Open Educational Resources
List Comprehensions
This is a tutorial on list comprehensions in Python, suitable for use in an Intro or CS0 course. We also briefly mention set comprehensions and dictionary comprehensions.
https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/list_comprehensions?viewer=share/
This OER material was produced as a result of the CS04ALL CUNY OER project
Python String, Natalia Novak
Python String, Natalia Novak
Open Educational Resources
An introduction to Python strings and string formatting.
Proposed lecture slides are supplied with in-class activity, homework assignment, and assessment.
No loops, no decision structures.
For CS0 students.
Part of the CUNY CS04All project.
Python List, Natalia Novak
Python List, Natalia Novak
Open Educational Resources
A brief introduction to Python list.
No loops, no decision structures.
For CS0 students. Part of the CUNY CS04All project.