Semester | Fall Semester, 2023 | ||
Department | MA Program of Management Information Systems, First Year | ||
Course Name | Decision Science | ||
Instructor | CHUANG HAO-CHUN | ||
Credit | 3.0 | ||
Course Type | Required | ||
Prerequisite | Intro.to Management People and Organization、Management Science |
Course Objective | ||||||||||||||||||||||||||||||||||
Course Description | ||||||||||||||||||||||||||||||||||
Course Schedule | ||||||||||||||||||||||||||||||||||
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Teaching Methods | ||||||||||||||||||||||||||||||||||
Teaching Assistant | ||||||||||||||||||||||||||||||||||
To be decided | ||||||||||||||||||||||||||||||||||
Requirement/Grading | ||||||||||||||||||||||||||||||||||
This is a tentative plan and I reserve the right to adjust score allocation rules. Homework: 40% I expect to distribute 4-5 assignments during the semester. Midterm: 35% I will explain the exam logistics in detail. Final Project: 25% I will explain the deliverables in detail. Don’t be a free rider. Form your team wisely. | ||||||||||||||||||||||||||||||||||
Textbook & Reference | ||||||||||||||||||||||||||||||||||
Lecture notes and assigned readings will be provided. So NO textbooks are required. Below is a list my key references in developing this course. Bertsimas & Freund 2004 Data, models, and decisions: The fundamentals of management science. Myerson & Zambrano 2019 Probability models for economic decisions (2nd Edition). Kroese et al 2022 Data science and machine learning: Mathematical and statistical methods. Powell 2022 Reinforcement Learning and Stochastic Optimization. | ||||||||||||||||||||||||||||||||||
Urls about Course | ||||||||||||||||||||||||||||||||||
https://wm5.nccu.edu.tw/mooc/index.php | ||||||||||||||||||||||||||||||||||
Attachment | ||||||||||||||||||||||||||||||||||
Decision Sciences Syllabus_HChuang.pdf |