MS3253 - Operations Analytics | ||||||||||
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| * The offering term is subject to change without prior notice | ||||||||||
Course Aims | ||||||||||
This course introduces students to the science of data analysis within the context of operations management. Students will explore fundamental concepts in data analysis, data visualization, and decision analytics, along with the basics of R programming, without the need for prior programming experience. The course covers essential data science techniques, including data manipulation, data visualization, data summarization, and estimation of statistical models. Through a combination of theoretical instruction and practical application, students will work with both real and simulated data sets to solve problems encountered in operations management. By the end of the course, students will possess a solid foundation in using data analytics tools and techniques to make informed decisions in operational contexts. This hands-on approach ensures that students can effectively apply data-driven insights to real-world challenges in operations management. | ||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||
Continuous Assessment: 50% | ||||||||||
Examination: 50% | ||||||||||
Examination Duration: 3 hours | ||||||||||
Examination Students will sit for a computer-based examination, where they will be assessed on their ability to analyze data and perform statistical analysis using the R programming language. | ||||||||||
Detailed Course Information | ||||||||||
| MS3253.pdf | ||||||||||
