<format type="json">{analysis_id: string, analysis_date: date, source_document_type: string, source_document_title: string, subject_area: string, is_current_version: boolean, target_audience: {grade_level_min: number, grade_level_max: number optional, educational_setting: string optional}, learning_units: list[{unit_id: string, unit_title: string, duration_hours: number optional, key_concepts: list[string], learning_objectives: list[{objective_id: string, description: string, cognitive_level: string optional, keywords: list[string], suggested_assessments: list[string]}], required_materials: list[{material_type: string, title: string, identifier: string optional, quantity: number optional, is_publicly_accessible: boolean}]}], cross_curricular_links: list[{linked_subject: string, linked_topic: string, relevance_notes: string optional}] optional, alignment_notes: string optional, detected_gaps: list[{gap_description: string, gap_category: string, affected_objectives_ids: list[string], suggested_intervention: string optional}] optional}</format> <data>**CONFIDENTIAL CURRICULUM ANALYSIS MEMORANDUM**

**Reference ID:** CALIGN-2025-COM338-292
**Date of Analysis:** 2025-03-10

This report summarizes the findings of a curriculum alignment analysis conducted on the document titled 'COM338: Artificial Intelligence - Spring 2025', which is a Lesson Plan for Computer Science. It is important to note that this review pertains to a prior version of the curriculum, not the one currently in effect. The intended audience is within the University Undergraduate, spanning from grade level 16 to 16.
The curriculum is segmented into 2 distinct learning units. As an example, the unit 'Database Systems' is projected to require approximately 8 instructional hours. It focuses on core concepts such as data structures, machine learning. A key objective in this section (Ref: OBJ-01-01) is for students to ' architect the concept of networking.', which is categorized at the 'Apply' cognitive level. Supporting resources include a Software Tool titled 'Reduced demand-driven application'. Its public accessibility is noted as True. Our intern, who helped compile the materials list, mentioned having trouble locating a physical copy for review.</data>
{
  "analysis_id": "CALIGN-2025-COM338-292",
  "analysis_date": "2025-03-10",
  "source_document_type": "Lesson Plan",
  "source_document_title": "COM338: Artificial Intelligence - Spring 2025",
  "subject_area": "Computer Science",
  "is_current_version": false,
  "target_audience": {
    "grade_level_min": 16,
    "grade_level_max": 16,
    "educational_setting": "University Undergraduate"
  },
  "learning_units": [
    {
      "unit_id": "UNIT-01",
      "unit_title": "Database Systems",
      "key_concepts": [
        "data structures",
        "machine learning",
        "object-oriented programming"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-01-01",
          "description": "Students will be able to architect the concept of networking.",
          "keywords": [
            "machine learning",
            "networking",
            "object-oriented programming",
            "data structures"
          ],
          "suggested_assessments": [
            "multiple_choice_quiz",
            "project",
            "presentation"
          ],
          "cognitive_level": "Apply"
        },
        {
          "objective_id": "OBJ-01-02",
          "description": "Students will be able to design the concept of networking.",
          "keywords": [
            "database",
            "algorithms",
            "machine learning",
            "networking"
          ],
          "suggested_assessments": [
            "multiple_choice_quiz",
            "essay"
          ],
          "cognitive_level": "Analyze"
        }
      ],
      "required_materials": [
        {
          "material_type": "Software Tool",
          "title": "Reduced demand-driven application",
          "is_publicly_accessible": true,
          "identifier": "COM338-MAT-203",
          "quantity": 5
        }
      ],
      "duration_hours": 8
    },
    {
      "unit_id": "UNIT-02",
      "unit_title": "Artificial Intelligence",
      "key_concepts": [
        "database",
        "data structures",
        "algorithms"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-02-01",
          "description": "Students will be able to implement the concept of networking.",
          "keywords": [
            "algorithms",
            "database",
            "networking"
          ],
          "suggested_assessments": [
            "problem_solving_set"
          ]
        },
        {
          "objective_id": "OBJ-02-02",
          "description": "Students will be able to implement the concept of database.",
          "keywords": [
            "machine learning",
            "database",
            "algorithms"
          ],
          "suggested_assessments": [
            "lab_report"
          ],
          "cognitive_level": "Analyze"
        },
        {
          "objective_id": "OBJ-02-03",
          "description": "Students will be able to design the concept of data structures.",
          "keywords": [
            "object-oriented programming",
            "data structures"
          ],
          "suggested_assessments": [
            "essay"
          ],
          "cognitive_level": "Apply"
        },
        {
          "objective_id": "OBJ-02-04",
          "description": "Students will be able to architect the concept of data structures.",
          "keywords": [
            "machine learning",
            "object-oriented programming"
          ],
          "suggested_assessments": [
            "essay"
          ]
        }
      ],
      "required_materials": [
        {
          "material_type": "Online Video",
          "title": "Polarized holistic task-force",
          "is_publicly_accessible": false,
          "identifier": "http://moore-smith.com/"
        },
        {
          "material_type": "Lab Manual",
          "title": "Mandatory radical synergy",
          "is_publicly_accessible": false,
          "identifier": "COM338-MAT-913",
          "quantity": 50
        }
      ],
      "duration_hours": 22
    }
  ]
}