Course File

CO-PO-PSO Mapping | Python Programming Course

CO–PO–PSO Mapping Analysis

Course Outcomes (COs)

  • CO1: Develop scripts using primitive language constructs of Python.
  • CO2: Identify the methods to manipulate primitive Python data structures.
  • CO3: Make use of Python standard libraries for programming.
  • CO4: Build scripts for performing file operations.
  • CO5: Illustrate the concepts of Object-Oriented Programming as used in Python.

Program Outcomes (POs)

  1. PO1: Engineering knowledge
  2. PO2: Problem analysis
  3. PO3: Design/development of solutions
  4. PO4: Investigation of complex problems
  5. PO5: Modern tool usage
  6. PO6: Engineer and society
  7. PO7: Environment and sustainability
  8. PO8: Ethics
  9. PO9: Individual and teamwork
  10. PO10: Communication
  11. PO11: Project management and finance

Programme Specific Outcomes (PSOs)

  • PSO1: Apply analytical and design skills in algorithms, programming, architecture, DBMS, networks, analytics and web design.
  • PSO2: Utilize modern computing environments to build innovative careers and foster higher studies.

Task 1: CO–PO–PSO Mapping Table (3-Point Scale)

COs PO1PO2PO3PO4PO5 PO6PO7PO8PO9 PO10PO11PSO1PSO2
CO1 3222 1 32
CO2 33212 1 32
CO3 22213 33
CO4 22323 1 33
CO5 32322 1 132

Justification of CO Mapping

CO1: Strongly maps to PO1 and PSO1 as it builds core programming foundation. Moderate mapping to PO2 and PO3 due to logical structuring and solution development.

CO2: Strong mapping with PO2 and PSO1 because data structure manipulation enhances analytical ability. Supports investigation (PO4) at a basic level.

CO3: Strongly supports PO5 and PSO2 through modern library usage. Encourages real-world programming practices.

CO4: Strong mapping with PO3 and PO5 as students design file-based systems using practical tools. Also supports investigation (PO4).

CO5: Strong mapping to PO3 and PSO1 since OOP is fundamental to system design. Moderate mapping to PO10 due to structured documentation and modular coding practices.

Task 2: Gap Analysis

Least Mapped PO: PO6 – Engineer and Society

Suggested Activities to Strengthen PO6

  1. Mini Project on Social Problem: Develop Python solutions for local issues (water tracking, attendance monitoring). Improves understanding of societal impact of computing.
  2. Seminar on Ethical AI & Data Privacy: Discuss responsible programming practices. Strengthens societal and ethical awareness.
  3. Industry Interaction Session: Invite software professionals working on e-governance or healthcare systems. Connects programming skills to real community applications.

Task 3: Beyond Syllabus Enrichment

Activity 1: Introduction to Python for Data Analytics

Provides: Exposure to NumPy, Pandas basics. Strengthens: CO2, CO3 | PO2, PO5 | PSO1

Activity 2: Git & GitHub Workshop

Provides: Version control, collaborative coding. Strengthens: CO1–CO5 | PO9, PO10 | PSO2

Activity 3: Industry-Oriented Mini Capstone

Provides: End-to-end project development using OOP and file handling. Strengthens: CO4, CO5 | PO3, PO11 | PSO1, PSO2

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