Curricula Recommendations

In the decades since the 1960s, ACM, along with leading professional and scientific computing societies, has endeavored to tailor curriculum recommendations to the rapidly changing landscape of computer technology. As the computing field continues to evolve, and new computing-related disciplines emerge, existing curriculum reports will be updated, and additional reports for new computing disciplines will be drafted.

Computing Curricula 2005: The Overview Report

CC2005 provides undergraduate curriculum guidelines for five defined sub-disciplines of computing:

  1. Computer Engineering
  2. Computer Science
  3. Information Systems
  4. Information Technology
  5. Software Engineering

Computer Engineering

  • CE2016: Computer Engineering Curricula 2016 (English)
  • CE2016: Computer Engineering Curricula 2016 (Chinese)
  • CE2004: Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering

Computer Science

  • CS2013: Curriculum Guidelines for Undergraduate Programs in Computer Science  (English)
  • CS2013: Curriculum Guidelines for Undergraduate Programs in Computer Science (Chinese) 
  • CS2008 Curriculum Update: Computing Curricula Computer Science Volume
  • CC2001: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science

Cybersecurity

  • CSEC2017: Curriculum Guidelines for Post-Secondary Degree Programs in Cybersecurity

Information Systems

  • IS2010 Curriculum Update: Curriculum Guidelines for Undergraduate Degree Programs in Information Systems
  • IS2002: Curriculum Guidelines for Undergraduate Degree Programs in Information Systems
  • MSIS2016: Global Competency Model for Graduate Degree Programs in Information Systems
  • MSIS2006: Model Curriculum and Guidelines for Graduate Degree Programs in Information Systems

Information Technology

  • IT2017: Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology
  • IT2008: Computing Curricula Information Technology Volume

Software Engineering

  • SE2014: Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering
  • GSwE2009: Curriculum Guidelines for Graduate Degree Programs in Software Engineering
  • SE2004: Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering

Associate-Degree Computing Curricula

Kindergarten through 12th Grade

CSTA K-12 CS Standards, 2011 Edition

Why I Belong to ACM

Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.

Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today. 

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.