MA

Michael Albert

Assistant Professor
Unit: Darden School of Business
Department: Darden Graduate School of Business
SYS 6018: Data Mining
Credits: 3
Data mining describes approaches to turning data into information. Rather than the more typical deductive strategy of building models using known principles, data mining uses inductive approaches to discover the appropriate models. These models describe a relationship between a system's response and a set of factors or predictor variables. Data mining in this context provides a formal basis for machine learning and knowledge discovery. This course investigates the construction of empirical models from data mining for systems with both discrete and continuous valued responses. It covers both estimation and classification, and explores both practical and theoretical aspects of data mining. Prerequisite: SYS 6021, SYS 4021, or STAT 5120.
CS 6890: Industrial Applications
Credits: 1
A graduate student returning from Curricular Practical Training can use this course to claim one credit hour of academic credit after successfully reporting, orally and in writing, a summary of the CPT experience to his/her academic advisor.
SYS 6993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
GBAC 7205: Data Analytics I
Credits: 2
In this course, students will gain exposure to and practice with the concepts and tools used to leverage data at scale and create value. The concepts and tools covered include data visualization, machine learning, and cloud computing. Through materials designed for the novice, students will be introduced to coding in Python and learn to develop predictive models from large datasets. Students will also learn data visualization in Tableau.
CS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7995: Supervised Project Research
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
GBUS 8496: Data Science in Business
Credits: 2
New cases provide opportunities to learn how data science is affecting a variety of domains, from entrepreneurship and marketing to operations and finance. In this course, students will gain exposure to the concepts and tools used by managers to create disruptive business models that leverage big data.
GBUS 8999: Darden Independent Study
Credits: 2–3
A Darden Independent Study elective includes either case development or a research project to be conducted by an individual student under the direction of a faculty member. Students should secure the agreement of a resident faculty member to supervise their independent study and assign the final grade that is to be based to a significant degree on written evidence of the individual student's accomplishment.
CS 8999: Thesis
Credits: 1–12
Formal record of student commitment to thesis research for the Master of Science degree under the guidance of a faculty advisor. May be repeated as necessary.
CS 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.