https://github.com/ehvenga/ime568
IME568 - Engineering Analytics Assignments & Coursework
https://github.com/ehvenga/ime568
analytics dbms engineering-analytics microsoft-access relational-databases
Last synced: 3 months ago
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IME568 - Engineering Analytics Assignments & Coursework
- Host: GitHub
- URL: https://github.com/ehvenga/ime568
- Owner: ehvenga
- Created: 2024-02-10T06:41:44.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-08T04:22:10.000Z (over 2 years ago)
- Last Synced: 2025-07-24T02:37:44.002Z (11 months ago)
- Topics: analytics, dbms, engineering-analytics, microsoft-access, relational-databases
- Homepage:
- Size: 726 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# IME568: Advanced Database Management and Analytics
## Instructor
Dr. John Jung-Woon Yoo
## Course Resources
- **References:**
- _Fundamentals of Database Management Systems_ by Elmasri and Navathe, Pearson
- _Introduction to Data Mining_ by Tan, Steinbach, Karpatne, and Kumar, Pearson
## Course Description
This course provides a theoretical background in descriptive, predictive, and prescriptive analytics methods and their applications in engineering fields. It covers various artificial intelligence techniques for data mining, expert system design and implementation, and computing foundations for data management and data analytics, with specific applications to Production Planning and Control and Inventory Management.
## Learning Outcomes
Students will:
- Understand the theoretical aspects of descriptive, predictive, and prescriptive analytics.
- Gain knowledge in artificial intelligence techniques for data mining and expert system design.
- Develop skills in database design, implementation, and interface programming.
- Apply analytics methods in practical engineering contexts, particularly in Production Planning and Control and Inventory Management.
## Course Topics
1. **Database Design and Implementation**
- Entity-Relationship Data Model
- Relational Data Model
- Database Management Systems (DBMS)
2. **Database Interface Programming**
- Structured Query Language (SQL)
- Open Database Connectivity (ODBC)
- Bill of Materials (BOM) Database
3. **Descriptive Analytics and Applications**
- Similarity Analysis
- Clustering (K-mean and Agglomerative Clustering Algorithm)
- Association Rule Mining (Apriori Algorithm)
4. **Predictive and Prescriptive Analytics and Applications**
- Inventory Control Applications based on MRP Database
- Automated Planning
## Usage
```bash
git clone https://github.com/ehvenga/ime568.git
```