Course Description
STAT 111 STATISTICS AND PROBABILITY
Credits: 3 (3,1,0) Prerequisite: None
The course is designed to provide the students with a solid foundation in the fundamental concepts and methods of statistics and probability theory. This course aims to equip students with the necessary knowledge and skills to effectively analyze and interpret data...
STAT 112 STATISTICAL INFERENCE AND REGRESSION ANALYSIS
Credits: 4 (4,0,0) Prerequisite: STAT 111
This advanced course provides a comprehensive understanding of statistical inference techniques and regression analysis methods commonly used in actuarial practice...
MATH 115 DIFFERENTIAL CALCULUS
Credits: 3 (3,0,0) Prerequisite: None
An introductory course focusing on fundamental concepts and techniques of differential calculus. Students explore limits, derivatives, and their applications...
MATH 117 INTEGRAL CALCULUS
Credits: 3 (3,0,0) Prerequisite: MATH 115
This course delves into the study of integrals and their applications. Topics include definite and indefinite integrals, substitution rules, and advanced techniques such as integration by parts...
STAT 219 INTRODUCTION TO STOCHASTIC ANALYSIS
Credits: 3 (3,0,0) Prerequisite: STAT 111
The course provides a foundation in stochastic processes and calculus, enabling students to apply analysis techniques in real-life scenarios...
MATH 223 LINEAR ALGEBRA
Credits: 3 (3,1,0) Prerequisite: MATH 117
This course covers matrices, vector spaces, inner products, eigenvalues, transformations, and linear systems for practical and theoretical applications...
ASDS 213 DATA STRUCTURES & ALGORITHMS
Credits: 3 (3,1,0) Prerequisite: CS102
Covers lists, stacks, trees, graphs, sorting and searching algorithms with emphasis on complexity and real-world problem-solving...
ASDS 225 STATISTICAL PROGRAMS
Credits: 3 (3,0,0) Prerequisite: STAT 111, CS 102
Students will use SPSS and R to clean, analyze, and visualize data, building reproducible workflows with communication of findings...
ASDS 249 INTRODUCTION TO DATA SCIENCE
Credits: 3 (3,0,0) Prerequisite: ASDS 225
Surveys foundational topics of data science including Python, NumPy, Pandas, visualization, and basic machine learning with real project application...
MATH 285 DISCRETE MATHEMATICS
Credits: 3 (3,0,0) Prerequisite: MATH 117
Introduces logic, sets, relations, graphs, and counting techniques as a basis for computing disciplines and applied reasoning...
ASDS 311 APPLIED REGRESSION ANALYSIS
Credits: 3 (3,0,0) Prerequisite: STAT 112
Focuses on simple and multiple regression, logistic regression, model diagnostics, prediction, and real-data application...
ASDS 321 APPLIED MULTIVARIATE STATISTICS
Credits: 3 (3,0,0) Prerequisite: STAT 112, ASDS 311
Covers multivariate distributions, principal components, classification, clustering, and multivariate regression techniques...
ASDS 323 BASIC ECONOMETRICS
Credits: 3 (3,0,0) Prerequisite: ASDS 311
Introduces econometric modeling, dummy variables, multicollinearity, and model specification with applied examples...
ASDS 329 OPERATIONAL RESEARCH
Credits: 3 (3,0,0) Prerequisite: MATH 223
Explores LP models, simplex methods, duality, networks, queuing, inventory control, and project scheduling tools...
ASDS 370 MACHINE LEARNING FOR DATA SCIENCE
Credits: 3 (3,1,0) Prerequisite: ASDS 213
Discusses neural networks, decision trees, Bayesian and genetic algorithms, and their application in real-world data analysis...
ASDS 381 METHODS FOR SURVEY SAMPLING
Credits: 3 (3,1,0) Prerequisite: STAT 111
Focuses on survey designs including random, stratified, cluster, and multistage sampling, and error estimation...
ASDS 413 DESIGN AND ANALYSIS OF EXPERIMENTS
Credits: 3 (3,1,0) Prerequisite: STAT 111, ASDS 321
Covers statistical design principles, uncertainty analysis, and empirical modeling with practical planning and documentation...
ASDS 450 ETHICS
Credits: 3 (3,0,0) Prerequisite: ASDS 311
Examines data ethics in statistics, privacy, IP, info security, and decision-making with an emphasis on case studies and group work...
ASDS 490 CAPSTONE PROJECT
Credits: 3 (3,0,0) Prerequisite: ASDS 381
Students work in teams under faculty supervision to apply data science methods to a real-world project and present findings...
ASDS 493 COOP