Pennsylvania State University-Penn State Berks · 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.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 511Design and Analysis of Algorithms3

Amortized analysis, graph algorithms, NP-complete problems, approximation algorithms, parallel algorithms.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 512Advanced Operating Systems3

A study of the principles and practice of distributed system design, including communication, synchronization, processes, file systems, and memory management.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 513Formal Methods for Software Engineering3

Object-oriented software development, formal specification techniques and related CASE tools, software re-use, verification and validation, transformational development.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 516Advanced Programming Languages3

Programming paradigms and styles, object-oriented programming, formal semantics, programming language design.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 517Computer Security3

Introduction to the area of computer security and current issues associated with computer security.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 519Advanced Topics in Database Management Systems3

Concurrency control, crash recovery, query processing, semantic data models, advanced file access, distributed database systems, performance, case studies, advanced applications.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 520Artificial Intelligence3

Problem solving, knowledge representation, language understanding, perception, learning, artificial neural networks.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

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, natural language processing, speech recognition, fraud detection, recommender systems, and other scientific and healthcare applications. This course covers the theory and problem-solving techniques relevant to the foundations and applications of deep learning and modern deep neural networks, the methodology of deep learning model development, evaluation, validation, and optimization. The course requires a strong foundation in algorithms, programming, and mathematics.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 524Evolutionary Computation3

Topics in evolutionary algorithms and genetic algorithms.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

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.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 545Computer Architecture3

Cache, pipelining, memory design, interconnection networks, multiprocessor systems.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 594Master's Studies3

Presentation of various research techniques, in-depth study of a specific computer science problem, development of a written paper or project, and an oral defense.

Subject: COMP
Credits (min): 3
Credits (max): 3
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 596Individual Studies1-9

Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.

Subject: COMP
Credits (min): 1
Credits (max): 9
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 597Special Topics1-9

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.

Subject: COMP
Credits (min): 1
Credits (max): 9
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

COMP 600Thesis Research1-15

Research into a specific computer science problem, development of a scholarly written paper, and an oral defense.

Subject: COMP
Credits (min): 1
Credits (max): 15
Credit unit: Credits
Type: course
Edition: 2026
Source: bulletins.psu.edu

Source: Pennsylvania State University-Penn State Berks's catalog, linked per course · table learning_unit · CourseShelf publish 59