Introduction to the use of the computer in the home and office. Computer literacy. Word processing, database systems, and spreadsheets. Examination and evaluation of computer peripherals and software for personal computers.

Overview of full-stack implementation of large scale web applications. Team-based software development methodologies, tools and practice. Introduction to modern HTML, CSS. Separation of structure, style and behavior. JavaScript, dynamic types, functional programming, prototypal classes, and closures. HTTP client-server communication, synchronous and asynchronous communication. Java Server Pages, simple database creation, programmatic queries and updates.

Primary objective of this course is to provide the student with the experience of working in a fast-track development environment that requires a shifting balance between collaboration and autonomy. The student will be exposed to a wide range of software tooling across multiple eras of computing history. The student should plan for a considerable amount of focused attention outside of the classroom to complete assignments. Online resources will be provided for all lecture topics. You will get more out of the course if you have experience with some larger development projects, for example, through internships, or open-source contributions.

Tied to "Tools and Techniques in Software Engineering" textbooks at the URL: https://opened.cuny.edu/courses/tools-and-techniques-in-software-engineering

A collection of handbooks to various topics related to CISC 3140 Design and Implementation of Software Applications II, at Brooklyn College and beyond.

Use with CISC 3140 Design and Implementation of Software Applications II at URL
https://opened.cuny.edu/courses/cisc-3140-design-and-implementation-of-software-applications-ii

An introduction to C++ and its roles providing support for object-oriented programming, generic programming, procedural programming, and low-level programming. The C++ memory model, and topics in explicit memory management. Storage classes, scope, and compilation stages. The Standard Template Library. Comparison with Java.

Design and implementation of operating systems for large computers. Multiprogramming, multiprocessing, time sharing. Resource allocation and scheduling. Communications, conversational computing, computer networks. Memory protection, interrupts, segmentation, paging, and virtual memories.

Introduction to database systems. Comparison to file processing systems. Data models. Relational, hierarchical, and network systems. Database design. Normal forms. Study of several real-world database management systems, with an emphasis on microcomputer applications. Database recovery query and transaction processing, concurrency. Distributed and object-oriented databases.

Introduction to database systems. Comparison to file processing systems. Data models. Relational, hierarchical, and network systems. Database design. Normal forms. Study of several real-world database management systems, with an emphasis on microcomputer applications. Database recovery query and transaction processing, concurrency. Distributed and object-oriented databases. After successful completion of this course, students will have achieved proficiency in data modeling use the Entity-Relationship Model, Relational Database Design Techniques, Basic and Intermediate SQL query creation, and Database access techniques from current programming languages.

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students obtain data on the US and two other countries (one more developed and one less developed).

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students ultimately write a function to access country level data from the CIA World Factbook.

Abel Angel Rodriguez is a Director Account Technology Strategy at Microsoft Corporation aligned to the Financial Services Industry vertical for the last 12 years.  Prior to Microsoft, Angel was a Technology Consultant for 18 years in financial services, pharma, manufacturing, and other industries with focus on Microsoft Technologies and Software Development. In parallel, 20 years of teaching experience as an Adjunct Professor of Computer Science and Information Technology at New York College of Technology in New York City and Electrical Engineering at teaching institutions in New York Tri-state area. This experience provides a well-rounded background in Enterprise Computing, Software Development, Enterprise Architecture Design, and Project Management etc. A graduate of Polytechnic University in Electrical Engineering and Computer Science and AAA from New York Community College. His personal hobbies include song writing, music recording and playing the guitar. Angel spent most of his life living in Brooklyn NY, but now resides in NJ.

The Digital Tool Box for Teaching and Scholarship, created by Brooklyn College Library's OER Developers, is dedicated to exploring and evaluating some of the many digital tools available on the web. We will explore various tools, discussing how they can be used in classrooms as learning objects and will also provide links to interesting and exciting projects where they are used. This toolbox will also touch on accessibility in digital scholarship and creation. Since this toolbox is part of the CUNY and SUNY 2017-19 Open Educational Resources Initiative, we are committing to present tools which are openly available.

This video introduces the Group Wiki Project in CUNY SPS COM 110: Digital Literacy. This project runs from Weeks 12-15. However, students have to begin brainstorming subtopics in Weeks 10-11. With this video, they will be able to quickly see how the project is laid out and get an introduction to it.

The purpose of this tutorial is to provide a very basic introduction to implementing three simple research designs using the simsem package in R. R is an open source statistical computing environment (R Core Team, 2015). For more information about R, see the R Project homepage (https://www.r-project.org/) and the Comprehensive R Archive Network (CRAN) web page (https://cran.r-project.org/). The lavaan package provides functions for fitting and evaluating structural equation models (Rosseel, 2012). For further information about the lavaan package including tutorials, see the lavaan Project web page (http://lavaan.ugent.be/). The simsem package (Pornprasertmanit, Miller & Schoemann, 2016) provides functions to facilitate structural equation modeling simulation studies and is compatible with both lavaan and openMx (Boker, et al., 2014). For more information about the simsem package, see the simsem web page (http://simsem.org/). This document assumes some familiarity with the basics of R and assumes familiarity with lavaan model specification. The simsem web page provides extensive examples for running specific simulation conditions. The goal of this document is to provide a basic guide to implementing simple research designs by combining multiple conditions into a larger design for comparative analysis. Sample code illustrates the complete process including simulation, basic data management strategies, and graphical display of results. The document will focus on lavaan model specification and estimation but the techniques generalize to openMx. For more information about openMx, see the openMx web page (http://openmx.psyc.virginia.edu/).
The first section considers a simple two-group between-subjects design. The second section considers a within subjects design with two conditions. The third section combines these into a 2×2 mixed factorial design. The final section discuses the use of functions in programming simulations. This document also assumes basic familiarity with factorial research designs and terms used to describe them. Four self-contained R scripts accompany this tutorial.
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Introduction to unit on intellectual property and copyright in CUNY SPS COM 110: Digital Literacy

In-depth study of tools and techniques for designing dynamic and interactive multimedia systems for use in live performance situations. Emphasis will be on student creation of custom computer software to realize interactive projects. Video, audio, three-dimensional computer images, and alternative computer-human interfaces will be addressed. Extensive instruction in graphical computer programming; no experience required.

Introduction to unit on Social Networking, Blogging and Artificial Intelligence in CUNY SPS COM 110: Digital Literacy, partially adapted from a video by Wendy Williams

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.