ENTERPRISE RESOURCE PLANNING

Course Description

This course introduces students to Enterprise Resource Planning (ERP) systems, with a particular focus on SAP, the leading ERP solution worldwide. Students will explore how SAP integrates core business functions such as finance, logistics, human resources, and supply chain management into a unified system. Through hands-on exercises and real-world case studies, students will learn to navigate the SAP environment, understand key modules, and perform essential business processes within the system. The course emphasizes both the technical and strategic aspects of ERP adoption and management. By completion of the course, students will be equipped with practical skills that are highly valued by global businesses using SAP.

ENTERPRISE RESOURCE PLANNING

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Magal, S. R., & Word, J. (2020). Business Process Integration with SAP S/4HANA. Epistemy Press.
2. 02 Bradford, M. (2025). Modern ERP: Select, Implement, and Use Today’s Advanced Business Systems (5th ed.).
3. 03 Monk, E. F., & Wagner, B. J. (2013). Concepts in Enterprise Resource Planning (4th ed.). Cengage Learning.

Learning Outcomes

1. L01 Explain the fundamental concepts, architecture, components, and business value of Enterprise Resource Planning (ERP) systems. SOLO 0
2. L02 Explain how ERP systems integrate core business functions and cross-functional business processes within organizations. SOLO 0
3. L03 Apply fundamental ERP concepts by performing selected business processes such as procurement, inventory management, sales, and financial transactions using an ERP system. SOLO 0
4. L04 Analyze organizational processes and identify opportunities for process improvement through ERP systems. SOLO 0
5. L05 Evaluate key considerations in ERP selection, implementation, and management, including data, organizational change, security, and emerging technologies. SOLO 0

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix