Model Course Syllabi
Undergraduate Courses
- CS 1000: Understanding Computers
- CS 1010: Introduction to Python Programming
- CS 1050: Power of Computing: Think Like a Computer
- CS 1310: Cybersecurity for Beginners
- CS 2010: Programming Fundamentals
- CS 2020: Intermediate Programming
- CS 2190: Computer Organization
- CS 2200: Introduction to AI and Applications
- CS 2310: Technical Skills for the Digital World
- CS 2900: Career Preparation in Computing Fields
- CS 3000: Professional and Societal Issues in Computing
- CS 3060: Programming Languages
- CS 3080: Operating Systems
- CS 3140: Web Application Development
- CS 3160: Windows Application Development
- CS 3180: Mobile Application Development
- CS 3200: Introduction to Machine Learning
- CS 3210: Introduction to Software Security
- CS 3240: Usability Engineering
- CS 3260: Introduction to Data Visualization with AI
- CS 3320: Introduction to Computer Security
- CS 3350: Data Structures
- SE 3540: Introduction to Software Engineering
- CS 3900: Internship in Computer Science
- CS 3901: Internship in Computer Science
- CS 4050: Research Methods in Computer Science
- CS 4120: Design and Analysis of Algorithms
- CS 4170: Introduction to Parallel Computing
- CS 4200: Artificial Intelligence Methods
- CS 4250: Computer Graphics
- CS 4310: Computer and Network Security
- CS 4320: Computer and Mobile Forensics
- CS 4330: Network Security and Forensics
- CS 4390: Network Architecture and Applications
- CS 4420: Techniques of Simulation
- SE 4550: Software Architecture and Design
- SE 4560: Software Testing and Quality Assurance
- CS 4620: Database Management Systems
- CS 4630: Python for Computational and Data Science
- CS 4770: Computer Science Capstone Experience
- SE 4770: Software Engineering Capstone Experience
- CS 5010: Fundamentals of Programming
- CS 5015: Concepts & Issues in Computing
- CS 5020: Fundamentals of Computer Science
- CS 5030: Networks & Cybersecurity
- CS 5050: Research Methods in Computer Science
- CS 5120: Design and Analysis of Algorithms
- CS 5170: Introduction to Parallel Computing
- CS 5200: Artificial Intelligence Methods
- CS 5250: Computer Graphics
- CS 5310: Computer and Network Security
- CS 5320: Computer and Mobile Forensics
- CS 5330: Network Security and Forensics
- CS 5390: Network Architecture and Applications
- CS 5420: Techniques of Simulation
- SE 5550: Software Architecture and Design
- SE 5560: Software Testing and Quality Assurance
- CS 5620: Database Management Systems
- CS 5630: Python for Computational and Data Sciences
- CS 6010: Data Science Programming
- CS 6070: Architecture of Computers
- CS 6150: Reliable Computing
- CS 6200: Advanced Topics in Artificial Intelligence
- CS 6210: Computer Systems Security
- CS/DATA 6260: Visualization
- SE 6310: Secure Software Engineering
- CS 6500: Big Data Analytics
- CS 6630: Spatial and Multidimensional Databases
- SE 6640: Advanced Software Engineering
- CS 6650: Human Issues in Computing
- CS/DATA 7200: Machine Learning
- CS/DATA 7300: Unsupervised Feature Learning
BGSU B.S. in Computer Science is accredited by the Computing Accreditation Commission of ABET, www.abet.org, under the commission’s General Criteria and Program Criteria for Computer Science.
BGSU B.S. in Software Engineering is accredited by the Engineering Accreditation Commission of ABET, www.abet.org, under the commission’s General Criteria and Program Criteria for Software Engineering.
Updated: 12/17/2025 05:44PM