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Articles 1 - 30 of 42
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.
An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja
An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi T. Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja
Publications and Research
Machine Learning (ML), including Deep Learning (DL), systems, i.e., those with ML capabilities, are pervasive in today's data-driven society. Such systems are complex; they are comprised of ML models and many subsystems that support learning processes. As with other complex systems, ML systems are prone to classic technical debt issues, especially when such systems are long-lived, but they also exhibit debt specific to these systems. Unfortunately, there is a gap of knowledge in how ML systems actually evolve and are maintained. In this paper, we fill this gap by studying refactorings, i.e., source-to-source semantics-preserving program transformations, performed in real-world, open-source …
An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray
An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray
Publications and Research
Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential …
Rocketry And Observability Predictions For Cubesat, Juliano A. Everett
Rocketry And Observability Predictions For Cubesat, Juliano A. Everett
Publications and Research
Estimating the visibility of Sunlight reflected by the holographic retro-reflector of Cubesat Alpha, and to convert this to star apparent magnitude to learn more about the visibility of these sails through reflected sunlight, to in turn determine if glints of these holograms are visible by terrestrial observers.
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.
Creating Art Patterns With Math And Code, Boyan Kostadinov
Creating Art Patterns With Math And Code, Boyan Kostadinov
Publications and Research
The goal of this talk is to showcase some visualization projects that we developed for a 3-day Code in R summer program, designed to inspire the creative side of our STEM students by engaging them with computational projects that we developed with the purpose of mixing calculus level math and code to create complex geometric patterns. One of the goals of this program was to attract more minority and female students into applied math and computer science majors.
The projects are designed to be implemented using the high-level, open-source and free computational environment R, a popular software in industry for …
Simulating And Animating The Spatial Dynamics Of Interacting Species Living On A Torus, Boyan Kostadinov
Simulating And Animating The Spatial Dynamics Of Interacting Species Living On A Torus, Boyan Kostadinov
Publications and Research
The goal of this talk is to present a student research project in computational population biology, which aims at creating a computer simulation and animation of the spatial dynamics of interactions between two kinds of species living on a torus-shaped universe. The habitat for spatial interactions is modeled by a 2D lattice with periodic boundary conditions, which wrap the rectangular grid into a torus. The spatial interactions between the species have two components: 1. Population dynamics modeled by the classical Nicholson-Bailey two-parameter family of models for coupled interactions between species, extended to incorporate space and 2. Two-parameter migration dynamics, modeled …
Polynomials Occuring In Generating Function Identities For B-Ary Partitions, David Dakota Blair
Polynomials Occuring In Generating Function Identities For B-Ary Partitions, David Dakota Blair
Graduate Student Publications and Research
Let p_b(n) be the number of integer partitions of n whose parts are powers of b. For each m there is a generating function identity:
f_m(b,q)\sum_{n} p_b(n) q^n = (1-q)^m \sum_{n} p_b(b^m n q)q^n
where n ranges over all integer values. The proof of this identity appears in the doctoral thesis of the author. For more information see http://dakota.tensen.net/2015/rp/.
This dataset is a JSON object with keys m from 1 to 23 whose values are f_m(b,q).