Pennsylvania State University-Penn State Erie-Behrend College · Courses
COMP
16 courses with the subject COMP, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
COMP 505Theory of Computation3
Topics in discrete mathematics, discrete probability, first order logic and models of computation.
A study of the principles and practice of distributed system design, including communication, synchronization, processes, file systems, and memory management.
Object-oriented software development, formal specification techniques and related CASE tools, software re-use, verification and validation, transformational development.
COMP 521Artificial Neural Networks and Deep Learning3
Deep learning, as a field of computer science study, is a branch of machine learning that focuses on the development and application of deep artificial neural networks. The computing model of an artificial neural network (ANN) consists of layers of nodes called perceptrons or artificial neurons, which can learn complex patterns in data. The deep learning model extracts layered data representations of complex data to maximize task performance. Deep learning has a wide range of applications, such as object recognition, classification, prediction,
COMP 530Computational Structural Biology for Computer Science3
This course provides a fundamental background in computational structural biology and bioinformatics, algorithms and tools widely used in the field, and assists students in starting research in the field of computational structural biology. The course will cover topics regarding protein structures, functions, physical principles describing molecular structures of proteins and their dynamics, algorithms used in protein/ DNA sequence analysis, and computational geometry algorithms useful for computational structural biology studies tailored for computer science students. and CMPSC 462 and CMPSC 463 Recommended Preparation: This course does not require a background in structural biology. The course is for computer science students and will cover fundamental
from approved 500-level electives in computer science, mathematics, engineering, and information systems courses 6 credits from approved 400- and 500-level electives in computer science, mathematics, engineering, and information systems courses
/Maximum of 9 Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.
/Maximum of 9 Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or semester.
from approved 500-level electives in computer science, mathematics, engineering, and information systems courses 9 credits from approved 400- and 500-level electives in computer science, mathematics, engineering, and information systems courses
