<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-COM301-499
**Date of Analysis:** 2025-02-13

This report summarizes the findings of a curriculum alignment analysis conducted on the document titled 'COM301: Artificial Intelligence - Spring 2025', which is a National Standards Document 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 specified educational context, spanning from grade level 13 to 13.
The curriculum is segmented into 4 distinct learning units. As an example, the unit 'Network Security' It focuses on core concepts such as database, algorithms. A key objective in this section (Ref: OBJ-01-01) is for students to ' architect the concept of data structures.', which is categorized at the 'Understand' cognitive level. Supporting resources include a Journal Article titled 'Ergonomic systematic neural-net'. Its public accessibility is noted as False. Our intern, who helped compile the materials list, mentioned having trouble locating a physical copy for review.</data>
{
  "analysis_id": "CALIGN-2025-COM301-499",
  "analysis_date": "2025-02-13",
  "source_document_type": "National Standards Document",
  "source_document_title": "COM301: Artificial Intelligence - Spring 2025",
  "subject_area": "Computer Science",
  "is_current_version": false,
  "target_audience": {
    "grade_level_min": 13,
    "grade_level_max": 13
  },
  "learning_units": [
    {
      "unit_id": "UNIT-01",
      "unit_title": "Network Security",
      "key_concepts": [
        "database",
        "algorithms",
        "data structures"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-01-01",
          "description": "Students will be able to architect the concept of data structures.",
          "keywords": [
            "machine learning",
            "networking",
            "database",
            "object-oriented programming"
          ],
          "suggested_assessments": [
            "lab_report"
          ],
          "cognitive_level": "Understand"
        },
        {
          "objective_id": "OBJ-01-02",
          "description": "Students will be able to analyze the concept of machine learning.",
          "keywords": [
            "machine learning",
            "algorithms",
            "data structures",
            "object-oriented programming"
          ],
          "suggested_assessments": [
            "problem_solving_set"
          ],
          "cognitive_level": "Apply"
        },
        {
          "objective_id": "OBJ-01-03",
          "description": "Students will be able to architect the concept of object-oriented programming.",
          "keywords": [
            "object-oriented programming",
            "algorithms"
          ],
          "suggested_assessments": [
            "multiple_choice_quiz"
          ],
          "cognitive_level": "Analyze"
        },
        {
          "objective_id": "OBJ-01-04",
          "description": "Students will be able to debug the concept of object-oriented programming.",
          "keywords": [
            "object-oriented programming",
            "networking",
            "data structures",
            "database"
          ],
          "suggested_assessments": [
            "lab_report",
            "project"
          ],
          "cognitive_level": "Evaluate"
        }
      ],
      "required_materials": [
        {
          "material_type": "Journal Article",
          "title": "Ergonomic systematic neural-net",
          "is_publicly_accessible": false,
          "identifier": "ISBN: 978-2031482966",
          "quantity": 50
        },
        {
          "material_type": "Journal Article",
          "title": "Open-source explicit ability",
          "is_publicly_accessible": true,
          "identifier": "ISBN: 978-4526070754",
          "quantity": 28
        }
      ]
    },
    {
      "unit_id": "UNIT-02",
      "unit_title": "Network Security",
      "key_concepts": [
        "database",
        "networking",
        "object-oriented programming",
        "algorithms"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-02-01",
          "description": "Students will be able to debug the concept of networking.",
          "keywords": [
            "networking",
            "data structures",
            "object-oriented programming"
          ],
          "suggested_assessments": [
            "project",
            "multiple_choice_quiz",
            "problem_solving_set"
          ]
        },
        {
          "objective_id": "OBJ-02-02",
          "description": "Students will be able to architect the concept of object-oriented programming.",
          "keywords": [
            "data structures",
            "machine learning"
          ],
          "suggested_assessments": [
            "problem_solving_set"
          ]
        }
      ],
      "required_materials": [
        {
          "material_type": "Lab Manual",
          "title": "Switchable well-modulated strategy",
          "is_publicly_accessible": true,
          "identifier": "COM301-MAT-803",
          "quantity": 40
        }
      ],
      "duration_hours": 20
    },
    {
      "unit_id": "UNIT-03",
      "unit_title": "Software Engineering Principles",
      "key_concepts": [
        "object-oriented programming",
        "machine learning",
        "data structures",
        "algorithms"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-03-01",
          "description": "Students will be able to debug the concept of database.",
          "keywords": [
            "algorithms",
            "database",
            "networking"
          ],
          "suggested_assessments": [
            "lab_report",
            "essay",
            "multiple_choice_quiz"
          ]
        },
        {
          "objective_id": "OBJ-03-02",
          "description": "Students will be able to debug the concept of database.",
          "keywords": [
            "object-oriented programming",
            "machine learning"
          ],
          "suggested_assessments": [
            "problem_solving_set"
          ],
          "cognitive_level": "Create"
        },
        {
          "objective_id": "OBJ-03-03",
          "description": "Students will be able to debug the concept of object-oriented programming.",
          "keywords": [
            "machine learning",
            "data structures",
            "networking"
          ],
          "suggested_assessments": [
            "multiple_choice_quiz",
            "presentation"
          ],
          "cognitive_level": "Understand"
        }
      ],
      "required_materials": [
        {
          "material_type": "Online Video",
          "title": "Inverse 24/7 functionalities",
          "is_publicly_accessible": true,
          "identifier": "https://www.archer-smith.org/",
          "quantity": 34
        },
        {
          "material_type": "Lab Manual",
          "title": "Intuitive encompassing utilization",
          "is_publicly_accessible": true,
          "quantity": 44
        }
      ],
      "duration_hours": 13
    },
    {
      "unit_id": "UNIT-04",
      "unit_title": "Software Engineering Principles",
      "key_concepts": [
        "database",
        "algorithms",
        "machine learning",
        "data structures"
      ],
      "learning_objectives": [
        {
          "objective_id": "OBJ-04-01",
          "description": "Students will be able to architect the concept of machine learning.",
          "keywords": [
            "networking",
            "object-oriented programming"
          ],
          "suggested_assessments": [
            "essay"
          ],
          "cognitive_level": "Apply"
        },
        {
          "objective_id": "OBJ-04-02",
          "description": "Students will be able to design the concept of networking.",
          "keywords": [
            "object-oriented programming",
            "machine learning",
            "networking"
          ],
          "suggested_assessments": [
            "essay",
            "project",
            "multiple_choice_quiz"
          ],
          "cognitive_level": "Create"
        },
        {
          "objective_id": "OBJ-04-03",
          "description": "Students will be able to debug the concept of object-oriented programming.",
          "keywords": [
            "algorithms",
            "object-oriented programming",
            "machine learning"
          ],
          "suggested_assessments": [
            "essay",
            "lab_report"
          ]
        },
        {
          "objective_id": "OBJ-04-04",
          "description": "Students will be able to optimize the concept of algorithms.",
          "keywords": [
            "database",
            "object-oriented programming",
            "algorithms"
          ],
          "suggested_assessments": [
            "presentation",
            "essay"
          ],
          "cognitive_level": "Remember"
        }
      ],
      "required_materials": [
        {
          "material_type": "Online Video",
          "title": "Vision-oriented stable artificial intelligence",
          "is_publicly_accessible": false,
          "quantity": 47
        }
      ],
      "duration_hours": 13
    }
  ]
}