Courses
Search for courses listed in this bulletin. To find a semester course schedule (including instructors, meeting times and locations), go to mynmu.nmu.edu.
- Prerequisites: BI 310, MA 105, and BI 516 or MA 120
- Prerequisites: BI 312, CH 450, credit for or concurrent enrollment in BI 418 or consent of instructor
- Prerequisites: BI 418 or consent of instructor
Introduction to bioinformatics, or the use of computers to analyze the information contained in nucleic acid and protein sequences. The course focuses on how to use resources available on the Internet to retrieve molecular sequences and how comparisons of these sequences can be used to assess the biological role of the sequences. The structure and function of nucleic acid and protein sequences will be investigated using computer analysis.
- Prerequisites: BI 315, graduate standing or permission of the instructor
- Prerequisites: BI 202, PE 315 or consent of instructor
- Prerequisites: ES 521
- Graded: A/F
- Prerequisites: Consent of instructor and department head
Independent research under the supervision of a member of the department. Supervisor and research project must be selected prior to enrollment in this course.
Note: This course may be repeated for up to 12 credit hours.
Content will vary depending upon the particular area(s) of specialization and/or interest of the graduate faculty member teaching the course in any given semester.
- Prerequisites: Open to Biology Department Graduate Students or permission of Graduate Director or Department Head
This is a course designed to teach research methods at the graduate level. Students will participate in three two-week rotations in scientific research laboratories. Topics will vary with offering. Course will meet for six hours daily for six weeks.
- Prerequisites: Graduate standing and consent of instructor
- Graded: S/U
- Prerequisites: Graduate standing and consent of instructor
- Graded: S/U
- Prerequisites: Consent of instructor and department head
Independent study under the supervision of a member of the department. Supervisor and study must be selected prior to enrollment in the course and appropriate directed study forms must be completed.
- Prerequisites: Consent of instructor and department head
Independent study under the supervision of a member of the department. Supervisor and study must be selected prior to enrollment in the course and appropriate directed study forms must be completed.
- Prerequisites: BI 589
The student develops a thesis with the help of a thesis committee. Appropriate thesis forms must be completed prior to enrollment. The thesis must be approved by the thesis committee and the College of Graduate Studies. The student should consult with the department and the College of Graduate Studies for specific requirements.
Students will improve their abilities to communicate orally and in writing as managers both to internal and external audiences. Through analyses and practice of communication strategies adopted by successful business professionals, students learn to write clearly and concisely, improve interpersonal and team competencies, deliver compelling oral presentations, construct effective arguments, and communicate effectively across various cultures.
This course examines corporate culture, corporate governance, stakeholder responsibility, social responsibility, legal rules and the importance of business ethics in a global economy. Students will become acquainted with the theoretical basis of business ethics: stakeholder-theory, theories of responsibility and normative ethical theory and intercultural ethics. They will learn the characteristics of ethical issues in business and acquire the ability to solve an ethical problem using the decision-making process. The course will result in the ability to create and defend a corporate ethics program.
This course provides a managerial perspective of information technology within an organization. Students will explore how tactical, operational and strategic objectives of a business may be supported with information systems. They will explore how business functional areas may be integrated through information technology. In addition, they will study how an organization is impacted by economic, social, legal, and ethical aspects of this technology.
This course is divided into three major components: micro organizational behavior, macro organizational behavior, and human resource management. Micro organizational behavior focuses on individual and group-level problems. The section on macro organizational behavior focuses on organizational level problems as they relate to improving organizational performance. The human resource management segment will focus on recruiting, selecting, evaluating, and disciplining employees. This course introduces some of the central topics in management theory, research, and practice and provides the basis for understanding and evaluating organizations and their management.
- Graded: A/F
This course explores the dynamic relationship between capitalism, society and the environment with a focus on management challenges and opportunities related to implementing sustainable business strategy in practice.
- Prerequisites: MKT 230
This course is designed to provide students with an overview of the process of developing and implementing marketing strategy. Through the use of strategy-related readings, cases, applied exercises and a course project, students will develop and refine strategic marketing planning and problem-solving skills.
- Prerequisites: DATA 109
Designed to help managers understand, create an apply statistics and research methods to solve business problems. This course surveys research methods and the underlying concept of validity with the understanding that statistics based on invalid data are not useful in decision making. The course examines an array of statistical methods including measures of association, measures of difference, multivariate analysis, and non-parametric statistics with an appreciation for probability as a basis for understanding the message of these statistics, an eye toward knowing when each particular test is appropriate, and an understanding of the components of the calculations and how their values affect statistical results.
- Graded: A/F
- Prerequisites: MA 109 and CIS 222
The course works on framing and understanding decision-making needs and processes to define, evaluate, and identify appropriate strategic, operational, or execution-level decisions. Students will be identifying, collecting, and managing large-scale data needed for decision support and employing decision-support software in areas such as optimization and predictive modeling.
- Prerequisites: DATA 109
This course explores the use of various Operations Research/Management Science techniques to model and solve various business problems. Spreadsheet software (specifically Microsoft Excel) will be used extensively in the modeling and solution of these problems. Some topics covered are linear programming, integer programming, decision analysis, queuing models, and simulation.
- Graded: A/F
- Prerequisites: MA 109 and CS 202
This course covers data management concepts and core analytic techniques of data exploration and visualization, pattern discovery, predictive modeling, and forecasting. While this course is designed for a breadth of topics, some topics will be discussed in-depth (such as big data management and deep learning techniques).