Responsible Conduct of Research (RCR) Training

CITI Program Training

The Responsible Conduct of Research (RCR) Training for Graduate Students Policy is a training that ensures ethical and professional standards for all graduate students while at GVSU. Click here for more information on GVSU RCR Standards.

All graduate students at GVSU will be required to comply with the Responsible Conduct of Research (RCR) policy.  Students are also required to complete the training by the time they finish 50% of their program credits. If you are not enrolled in PSM 650 during your first year (including summer semester) OR if you participate in a research project before you took PSM 650, you must complete the online CITI Program training. Health Informatics and Bioinformatics students can choose either the Biomedical Sciences or the Engineering and Technology course.

CIS 161 - Computational Science

Computational science is the field of study concerned with using computers to analyze, model, simulate, and solve problems in various mathematical and scientific disciplines. Offered winter semester. 

Credits: 3

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CIS 500 - Fundamentals of Software Practice

Focuses on advanced programming concepts, common data structures and collections, concurrency, software modeling, searching and sorting algorithms. Elements of discrete mathematics are integrated through lectures and programming projects. Offered fall semester. Prerequisite: Admission to the CIS program.

Credits: 3

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CIS 661 - Introduction to Health 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.

Credits: 3

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CMB 610 - Foundations of Biotechnology

Introduction to the methods and strategies used for the manipulation of biological systems to produce food, drugs, and other products. Topics include experimental systems, gene and protein analysis, genetic engineering, recombinant DNA technology, transgenic organisms, gene therapy, and plant biotechnology. Offered winter semester. Prerequisite: Admission to a professional science master's program.

Credits: 3

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PSM 650 - Ethics and Professionalism in Applied Science

Ethical and professional issues and problems facing practicing scientists. Emphasizes the role of scientists in public and private sectors, their responsibilities, and emerging ethical and professional issues. Offered every semester. Prerequisite: Admission to a professional science master's (PSM) program.

Credits: 3

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STA 610-01 - Applied Statistics for Health Professions - only section 01 with "R" qualifies

Project-oriented overview of major statistical techniques commonly used in problems encountered in health professions. Students will learn to use a major statistical computing package. Hypothesis testing, t-tests, regression, analysis of variance, analysis of covariance, categorical data analysis, nonparametric statistics. Offered fall semester.
Credits: 3

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STA 622 - Statistical Methods for Biologists

Design of experiments and application of statistical techniques commonly used by biologists. Emphasis on techniques for count data, correlation, and regression, analysis of variance, multivariate analysis, and nonparametric methods using biological data. A computing package will be utilized throughout the course. Offered fall semester. Please check with your advisor before enrolling in this course.
Credits: 3

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PSM 662 - Seminar in Professional Science Practice

A seminar course designed to broaden the student's professional foundation in the practice of applied sciences following industry "best practices." Project management practice; intellectual property and proprietary issues; industrial policies and procedures; and governmental regulatory issues are examined. Focus on team building, networking, and communication and presentation skills. Offered fall and spring/summer semesters. Prerequisites: Admission to one of the five PSM M.S. programs: M.S. in cell and molecular biology-biotechnology emphasis; M.S. in biostatistics; M.S. in health informatics and bioinformatics; M.S. in applied statistics; or M.S. in data science and analytics.

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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.

Credits: 3

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CIS 660 - Data Engineering

An introduction to information storage, manipulation, retrieval, analysis, and modeling techniques. Topics include database paradigms, data preparation, extract transform load processes, information pipelines, and large-scale analytics. Prerequisite: CIS 500 or CIS 661.

Credits: 3

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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 CIS 661 or equivalent.

Credits: 3

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CIS 677 - High-performance Computing

Introduction to parallel and high-performance computing using programming languages like C++. 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 CIS 661 or equivalent.

Credits: 3

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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 CIS 661 or equivalent.

Credits: 3

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CIS 665 - Clinical Information Systems

Introduction to Clinical Information Systems (CLIS) important to the health care delivery process. The course covers the entire range from laboratory systems to electronic health records. Other topics covered are CLIS and health informatics, components and examples of CLIS, telemedicine, public health information systems, and modern developments. Offered fall semester. Prerequisite: CIS 500, or CIS 661, or PNH 630.

Credits: 3

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PNH 630 - Health Administration and Service

Overview of the current management, organization, and delivery of U.S. health care. Current management and organization theories are compared in relation to the health care system. Major system components are defined and studied. Included are discussions of staffing, dealing with internal and external constituencies, and identification of hospital types. Offered every other year.

Credits: 3

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PNH 635 - Hospital Organization and Management

Discussions of various types of hospitals. Study of their organization and management, including clinical, support and administrative functions, analysis of special operational problems, and administrative ethics. Requirements of the Joint Commission of Accreditation of Hospitals and other accrediting agencies are emphasized. Offered on sufficient demand. Prerequisite: PNH 520 or PNH 630 (may be taken concurrently).

Credits: 3

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PSM 691 - Internship

Full-time or part-time, on-the-job work performed at a sponsoring entity while under the supervision of an approved mentor in an area related to applied sciences. Offered every semester. Prerequisites: Satisfactory completion of PSM common course requirements and completion or enrollment in PSM 662.

Credits: 1 to 9

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CIS 691 - Medical and Bioinformatics Capstone

An integrative Capstone that synthesizes topics covered in medical/bioinformatics. Promotes advanced writing and broad perspectives of issues in contemporary information systems. Students will demonstrate ability to integrate concepts to a practical situation by leading discussions and presenting a paper on a current topic. Offered winter semester. Prerequisite: Completion of directed courses in medical and bioinformatics.

Credits: 3

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