CS 205 in 201910

In the Past:

Topics and Learning Outcomes for the Knowledge Units, within the Knowledge Areas, explored in this course are based on the ACM/IEEE Curriculum Guidelines for Undergraduate Degree Programs in Computer Science (2013) report, a version of which is available in HTML on this website . That report associates one of three levels of mastery with each Learning Outcome. The mastery levels are defined as:

  • Familiarity: The student understands what a concept is or what it means. This level of mastery concerns a basic awareness of a concept as opposed to expecting real facility with its application. It provides an answer to the question “What do you know about this?”
  • Usage: The student is able to use or apply a concept in a concrete way. Using a concept may include, for example, appropriately using a specific concept in a program, using a particular proof technique, or performing a particular analysis. It provides an answer to the question “What do you know how to do?”
  • Assessment: The student is able to consider a concept from multiple viewpoints and/or justify the selection of a particular approach to solve a problem. This level of mastery implies more than using a concept; it involves the ability to select an appropriate approach from understood alternatives. It provides an answer to the question “Why would you do that?”

Topics and Learning Outcomes with:

  • 2 stars ( ★ ★ ) appear in the CS2013 report as Core-Tier1
  • 1 star ( ★ ) appear in the CS2013 report as Core-Tier2
  • 0 stars appear in the CS2013 report as Elective
  • grey text are not covered in this course offering
AR / hine Level Representation of Data
Topics
    Learning Outcomes
      CN / a, Information, and Knowledge
      Topics
        Learning Outcomes
          GV / ic Rendering
          Topics
            Learning Outcomes
              GV / damental Concepts
              Topics
                Learning Outcomes
                  HCI / igning Interaction
                  Topics
                    Learning Outcomes
                      IM / timedia Systems
                      Topics
                        Learning Outcomes
                          PBD / Platforms
                          Topics
                            Learning Outcomes