Module Management System

A centralized platform for managing module proposals, reviews, and approvals within the School of Computation, Information and Technology (CIT) at TUM.

Project Overview

The Module Management System streamlines the process of creating, reviewing, and approving academic modules. It replaces the inefficient email-based workflow with a structured digital platform that provides clear guidance and feedback mechanisms for all stakeholders. Further information can be found here

Key Features

• Module Proposal Creation: Professors can create and save module proposals with all necessary fields.
• Structured Feedback Process: Reviewers can provide granular feedback on specific sections.
• Version Management: Support for creating new module versions based on feedback while maintaining version history.
• AI-Assisted Description Generation: Help professors create standardized module descriptions.
• Module Overlap Detection: Identify potential overlaps between proposed modules and existing curriculum.
• PDF Export: Export module information for offline use.

System Architecture

The system implements a modular client-server architecture with three primary components:

1. Angular Client: Provides role-specific user interfaces with responsive design
2. Spring Boot Server: Implements core business logic, workflow, and data persistence
3. Python AI Service: Delivers module description generation and overlap detection capabilities

Technology Stack

• Frontend: Angular 19, TypeScript, Tailwind CSS
• Backend: Java Spring Boot, Hibernate, PostgreSQL
• AI Service: Python FastAPI, LangChain, Sentence Transformers
• Authentication: Keycloak integration
• Deployment: Docker containerization

Prerequisites

• Docker and Docker Compose
• Node.js 18+ and npm (for development)
• Java JDK 21 (for development)
• Python 3.11+ (for development)
• Configure .env file according to your needs

Usage Guide

Proposal State Workflow

For Professors

1. Creating a Module Proposal:

   • Log in to the system with professor credentials
   • Navigate to "Create New Proposal"
   • Fill in all required module information
   • Save your progress at any time
   • Use AI-assistance for generating standardized descriptions
   • Check for potential module overlaps
   • Submit when ready for review

2. Handling Feedback:

   • Review consolidated feedback from all stakeholders
   • Create a new module version addressing the feedback
   • Resubmit for approval

For Reviewers

1. Reviewing Module Proposals:
   • Log in with reviewer credentials
   • View list of pending module proposals
   • Provide specific feedback for each field
   • Approve, request changes, or reject proposals

License

This project is licensed under the MIT License.

Acknowledgements

This project was developed as part of a Master's thesis by Kilian Wimmer at the Technical University of Munich.