Call Number | 11109 |
---|---|
Day & Time Location |
T 8:10pm-10:00pm ONLINE ONLY |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Andy W Chen |
Type | LECTURE |
Method of Instruction | On-Line Only |
Course Description | Operations Management (OM) is responsible for the efficient production and delivery of goods and services, serving as a cornerstone of successful organizations. This course emphasizes how analytical techniques, such as forecasting, queuing theory, and linear programming, provide critical tools for optimizing operational decision-making, improving efficiency, and addressing real-world challenges in operations management. In this course, you will gain essential skills to optimize processes, manage resources, and enhance productivity across various industries. The course will be delivered through a combination of interactive lectures, case studies, and hands-on coding exercises to ensure a balance between conceptual learning and practical application. Through lectures, you will gain a solid foundation in OM principles and analytical techniques. Case studies will help illustrate real-world applications of OM in industries such as manufacturing, healthcare, retail, and logistics, allowing you to see how the concepts are applied in diverse contexts. This course will integrate the principles of OM with hands-on analytical techniques using Python, allowing you to model and solve real-world OM problems. You will learn to run simulations, perform optimizations, and analyze data to make data-driven decisions that enhance efficiency and overall performance. OM practices are tailored to meet the specific needs of various sectors. In manufacturing, OM helps streamline production lines and minimize waste; in healthcare, it enhances patient flow and optimizes resource allocation; in retail, it improves inventory management and supply chain operations; and in logistics, it ensures timely deliveries while reducing transportation costs. This course will equip you with the skills to apply OM practices effectively in different industries. Analytics for Business Operations Management is an elective that is intended for students who are interested in pursuing a career using analytics and operational insights to drive organizational success in a competitive global marketplace across various industries. |
Web Site | Vergil |
Subterm | 05/27-08/15 (X) |
Department | Applied Analytics |
Enrollment | 14 students (45 max) as of 9:05PM Thursday, April 3, 2025 |
Subject | Applied Analytics |
Number | PS5530 |
Section | D01 |
Division | School of Professional Studies |
Open To | Professional Studies |
Note | ONLINE. APAN STUDENTS ONLY. PREREQS: ADVISOR APPROVAL. |
Section key | 20252APAN5530KD01 |