Page 259 - University Bulletin

SE499 Senior Project
Credits: 3(3,0,0) Prerequisites: Department Consent
Provides students, working in groups, with significant project experience in which they can
integrate much of the material they have learned in their program, including matters relating to
requirements, design, human factors, professionalism, and project management. Students will
develop a significant software system, employing knowledge gained from courses throughout the
program. Includes development of requirements, design, implementation, and quality assurance.
Students may follow any suitable process model, must pay attention to quality issues, and must
manage the project themselves, following all appropriate project management techniques.
Success of the project is determined in large part by whether students have adequately solved
their customer’s problem.

STAT100 Introduction to Statistics
Credits: 3 (3,0,0) Prerequisites: None
This course introduces the basic concepts of data analysis and statistical computing, both
extensively used in humanities and the social sciences. Students will get acquainted with various
research methods encountered in real-life situations. The main emphasis is on the practical
application of quantitative reasoning, visualization as well as data analysis. The goal is to provide
students with pragmatic tools for assessing statistical data and conducting basic statistical
analysis. This course aims to provide theoretical knowledge about all the statistical concepts, but
also practical training on how to generate these statistics on statistical software. Topics covered
include basic descriptive measures, measures of association, sampling, probability distribution,
simple regression, confidence interval, and hypothesis testing.

STAT101 Introduction to Statistics and Probability Theory
Credits: 3 (3,1,0) Prerequisites: MATH111 or MATH101
The course introduces a range of statistical concepts and techniques with applications. This course
focuses on descriptive statistics that includes data types, frequency distribution, measure of
central tendencies and deviations, basic probability theory, random variables and sampling
techniques. Students also learn use of excel through projects.

STAT111 Statistics and Probability
Credits: 3 (3,1,0) Prerequisite: None
The course is designed to provide actuarial 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. Throughout the
course, students will explore various topics such as descriptive statistics, probability distributions,
confidence intervals. The course will emphasize both theoretical understanding and practical
application, allowing students to develop critical thinking and problem-solving abilities.

STAT112 Statistical Inference and Regression Analysis
Credits: 4 (4,0,0) Prerequisite: STAT111
Statistical Inference and Regression Analysis course is an advanced course designed to provide
actuarial science students with a comprehensive understanding of statistical inference techniques
and regression analysis methods commonly used in actuarial practice. The course builds upon the
foundational knowledge of probability theory and mathematical statistics, focusing on the
application of these concepts to actuarial problems and data analysis.

247 PSU UNDERGRADUATE BULLETIN