Biomedical Informatics Concentration
A student in the area of Biomedical Informatics can choose a concentration by completing courses as outlined below. You need to be enrolled in a GVSU master’s degree program. Concentration candidates enroll in the standard master’s degree program courses, with grading criteria being identical. The Biomedical Informatics concentration requires a 3-course sequence, which totals 9 credit hours:
- CIS 661 - Introduction to Medical and Bioinformatics Credits: 3
- Electives (choose 2):
The following courses are offered as online hybrid classes (also as part of the certificate):
CIS 661 - Introduction to Medical and Bioinformatics
A survey of fundamental concepts of medical and bioinformatics methods and techniques involved in the integration of computer systems in medical centers and life science industries. Introduction to biomedical information systems; data representation, modeling, management and mining; systems evaluation; project management practices for biomedical decision making. Legal and ethical considerations. Offered fall and winter semesters.
CIS 635 - Knowledge Discovery and Data Mining
A survey of computational methods for knowledge discovery in bioinformatics and medicine. Topics covered are dynamic programming (sequence alignment, BLAST search engine), Hidden Markov Models (phylogenetic trees, structure prediction), clustering and discriminations models for micro-array analysis (Gene Expression Data), selected data mining software, and working with biological databases. Offered winter semester. Prerequisite: CIS 500 or equivalent.
CIS 665 - Clinical Information Systems
Historical development of clinical information systems, including hospital information systems and community health information systems. Topics covered include: clinical information systems and medical informatics, components of clinical information systems, examples of clinical information systems. Offered fall semester. Prerequisite: CIS 661.
CIS 671 - Information Visualization
Concepts of information visualization, principles in vision and perception, algorithms for building information spaces, and principles of user interface design. Case studies demonstrate information visualization used to solve specific retrieval and decision problems for biological data. Evolution of visual user interfaces and visualization tools, visual information retrieval and knowledge representation. Offered winter semester. Prerequisite: CIS 500 or equivalent.
CIS 673 - Principles of Database Design
Techniques and tools used in the design of applications that utilize database management systems. Detailed treatment of conceptual modeling, logical and physical design, and query languages. Services provided by database management systems to the level of detail needed by application designers. Introduces students to the scope of the database field. (3-0-0) Offered fall semester. Prerequisite: Admission to CIS program or permission of instructor.
CIS 677 - High-performance Computing
Introduction to parallel and high-performance computing. Coverage includes modern scalable parallel and distributed architectures, design and analysis of algorithms, communication and synchronization issues, software development environments, and performance evaluation. Case studies include applications in bioinformatics, evolutionary computing, data mining of biological and clinical databases, and knowledge-based systems. Offered fall semester. Prerequisite: CIS 500 or equivalent.
CIS 678 - Machine Learning
Broad introduction to machine learning computer programs that improve their performance with experience. Topics include decision trees, neural networks, statistical methods, genetic algorithms, Bayesian learning methods, explanation-based goal regression, reinforcement learning, and learning frameworks. Includes an applied machine learning component that provides exposure to established algorithms and machine learning programs. Offered winter semester. Prerequisite: CIS 500 or equivalent.