Page 159 - University Bulletin

ARCH492 Cooperative Education (Co-op)
Credits: 10 (0,0,0) Prerequisites: Completion of 90 credit hours
The Co-op is a career related professional program available to all Architecture students. It is
designed to help students build on skills already learned in the classroom and acquire new ones
as well. Co-op education is available to Architecture students who have accumulated the requisite
number or more credits. The Co-op option counts for 10 credit hours (CRs) for practical onsite
experience over a 7 month period, i.e. spanning one semester and a summer.

ARCH498 Senior Project I
Credits: 2(2,0,0) Prerequisites: ENG 301, Senior Standing; Co-requisite: ARCH411
The course is oriented towards systematic analysis of senior project dealing with functional and
spatial relationships, location and setting, physical and human environments, use of precedents,
and provision of synthesis and alternative concepts for design. The outcome will be presented as
written and visual presentation.

ARCH499 Senior Project II
Credits: 5(0,0,10) Prerequisites: ARCH498
The course is a continuation of the thesis research outcomes and synthesis; it proceeds to develop
preliminary architectural design concepts, assesses alternative design approaches, and develops
design through systematic evaluation process of architectural, structural, environmental, and
aesthetic entities. The product includes preparation of a full set of working design drawings.

ACSC225 Statistical Programs
Credits: 3 (3,0,0) Prerequisite: STAT111 and CS102
This course focused on collecting, organizing, and analyzing data to build models and
communicate analytical results in a reproducible manner. Students will use SPSS and R tidy verse
packages to acquire, clean, and tidy data; develop numerical and graphical displays; write basic
functions, and present/communicate their process, findings, and recommendations. The project
has been included to complete an analysis of complex data and communicate the elements of the
analysis and the results in writing and through an oral presentation.

ACSC241 Financial Mathematics
Credits: 4 (4,0,0) Prerequisite: MATH117 and FIN210
To provide an understanding of the fundamental concepts of financial mathematics and theory of
interest. Discussing the concept of annuity with non-contingent payments and its applications
loans, bonds and valuation. Analysis of cash flow and yield rates and measures of convexity,
duration, and immunization, calculations of interest rate swaps.

ACSC249 Introduction to Data Science
Credits: 3 (3,0,0) Prerequisite: ACSC225
The Introduction to Data Science course will survey the foundational topics in Data science, Data
Manipulation, Data Analysis with Statistics and Machine Learning. Students will learn Python,
Python data structures including NumPy, Pandas and visualization techniques using Matplotlib.
Students will learn how to apply basic machine-learning concepts for classifications and
regression. Students will work on a group project to apply learned concepts to one of the many
Data Science applications.

147 PSU UNDERGRADUATE BULLETIN