Description

Smart Campus

Course Overview:
A data-powered solution utilizing AI and sensor technology to optimize campus operations, improve energy efficiency, and enhance student experiences. The system processes real-time sensor data, enabling predictive maintenance, energy-saving strategies, and data-driven decision-making.

This course will explore the application of AI in creating a smart campus environment. Students will leverage sensor data to enhance campus operations, improve energy efficiency, and enrich student experiences.
Modules:
1. Introduction to Smart Campus Concepts
- Understanding smart campuses
- Key components and technologies
- Benefits and challenges
- Types of sensors (motion, temperature, light, etc.)
- Data acquisition and exploration
2. Data Preprocessing and Management
- Cleaning and organizing sensor data
- Statistical data exploration
3. AI Model Development
- Model selection and training
- Feature extraction from sensor data
Example: Energy Efficiency
- Analyzing energy consumption patterns
- Predictive maintenance for campus facilities
- Implementing energy-saving strategies
4. Project Implementation and Evaluation
- Running models on CSV data from sensors
- Evaluating model performance and accuracy
- Presenting findings and recommendations

For more questions: Maya - 054-2589501

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task

Status: Shown in Available Projects

THE PROJECT IS AT FULL CAPACITY

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Smart Campus

GIS

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task

THE PROJECT IS AT FULL CAPACITY