Data Analytics in R - STQM 4000

Data Analytics - Information Technology and Business, School of Business at NCCU, 2022

The goal of this course is to present the foundations of Data Analytics (data I/O, data wrangling, visualization, databases and exploratory data analysis) and help students to develop the necessary skills to perform successful analysis of real life problems. R is used as the statistical programming language in the course along with several techincal libraries.

Modeling and Optimization for Analytics - STQM 4010

Data Analytics - Information Technology and Business, School of Business at NCCU, 2022

This course provides a broad perspective of optimization models and methods. Linear Programming, Network Optimization and Integer Programming are presented in the context of planning, operations, marketing, management and other areas. Students will learn how create optimization models and solve them using Python, Pyomo & Gurobi.

Applied Time Series Analysis - STQM 4020

Data Analytics - Information Technology and Business , School of Business at NCCU, 2022

This course focuses on time series analysis, modeling and forecasting, with emphasis on practical applications in business and other areas. Applied Time Series Analysis are performed using the software R for most of the computational exercises. Upon completion of the course, the students will be able to carry out basic Time Series analysis and fit a model to data.

Special Topics in Data Analytics (Energy & Society) - STQM 4090

Data Analytics - Information Technology and Business, School of Business at NCCU, 2022

This iteration of the Special Topics course provides an overview of the role that energy plays in many aspects of society. It will give students a sense for observing the role of energy in the modern world, as well as provide a practical understanding of places where there may be career opportunities within the energy sector.

Productions Systems and Management - DSC 5530

Graduate Course - M.B.A., School of Business at NCCU, 2022

This course provides a background in Productions and Systems Management. Techniques and methods employed to plan and control business organizations, service, forecasting, production scheduling, strategic decision making, quality control methods and measurement are presented and used to solve practical problems.

Operations Management - DSC 3750

Business Administration - Undergraduate, School of Business at NCCU, 2022

Operations Management is the process of planning, organizing and controlling resources in order to produce goods and services to meet the goals of an organization. This course provides an introduction to the management of operating systems, and techniques & methods employed to plan and control goods and service oriented organizations.

Quantitative Methods for Business - DSC 2000

Business Administration - Undergraduate, School of Business at NCCU, 2022

This course introduces certain concepts in business, economics and finance, along with their mathematical formulation and solution, using linear and quadratic equations, systems of equations, functions, exponential and logarithmic functions, and differentiation.

Managerial Statistics - DSC 5200

Graduate Course - M.B.A., School of Business at NCCU, 2021

This course introduces basic concepts in probability and statistics with applications to managerial decision making. The topics covered include: basic data analysis, random variables and probability distributions, hypothesis testing, analysis of variance, linear and multivariable regression analysis.

Decision Sciences - DSC 3300

Business Administration - Undergraduate, School of Business at NCCU, 2018

This course provides an introduction to the use of mathematical concepts and models in managerial decision making. Mathematical modeling, linear programming, network programming, applied probabilistic concepts and decision theory.

Civil Engineering Systems - CE 399

Civil, Construction & Environmental Engineering - Undergraduate, NC State University, 2017

A broad perspective, systematic approach to civil planning, analysis, evaluation and design for large scale projects in construction, structures, transportation, water resources and other civil engineering areas.