Courses Taught by Institute

Management Department, School of Business, NJCU, Jersey City, NJ

  • MGMT 203 Business Statistics (Fall 2015; Spring 2016) 

Designed to acquaint the student with basic business statistics, this course includes the following topics: measures of central tendency and variability; probability; hypothesis testing and correlation; and regression analysis. Prerequisite: MATH 1165 Pre-Calculus for Business

  • MGMT 300 Introduction to Supply Chain, Logistics, and Maritime Port Management (Fall 2017, Spring 2018)

This course is designed to provide a foundation in Supply Chain, Logistics and Maritime Port Management. Students will be introduced to the main principles and basic theories of supply chain management including procurement, production, transportation, warehousing, inventory management, logistics, port management features and information management.

  • MGMT 305 Procurement and Supplier Management (Fall 2017)

This course is designed to provide a foundation in Procurement and Supplier Management. Students will be expose to key principles of purchasing and supplier strategies. Role of purchasing in today’s supply chain is re-evaluated to include traditional functions but also competencies gained from partnering with suppliers. Integration of suppliers resources at product development and operational levels will also be examined.

  • MGMT 311 Organization Theory and Practice (Spring 2018)

The impact of individuals, groups, and organizational structures on behavior within firms is examined in this course. The primary objective is to apply such knowledge toward improving a firm’s effectiveness. Topics include behavior, attitudes and motivation of individuals; politics, conflict and consensus within and among group; and the structure, design, and development of organizations. Cases are studied within the context of theory.

  • MGMT 412 Business Information Systems  (Fall 2015; Spring 2016)

This course provides an integrative study of what constitutes management information, goals of management, and measures of information value in support of those goals and usual sources of information. The course reviews how management utilizes the vast amounts of computer-generated data.

  • MGMT 413 Global Supply Chain Management  (Fall 2015; Spring, Summer, Fall 2016) 

This course is designed to acquaint students with basic concepts of global supply chain management. The course includes balanced topics on operations and marketing including sourcing, logistics, information technology, and supplier relationship management.

  • MGMT 511 Seminar: Management Science  (Spring 2017, Summer 2017, Spring 2018) – Undergraduate

This course offers the rationale for applying certain models to managerial problems, assists students in the application of such models and guides students in the interpretation of results. The course includes basic quantity techniques used in managerial decision making. The topics covered include: linear programming, queuing, network analysis, inventory models and decision making under uncertainty. Prerequisite: BUSI 203 Business Statistics; MGMT 211 Principles of Management

  • BUSI 612 Global Strategic Management  (Summer I 2016) – MBA
  • BUSI 613 Decision Analysis  (Summer II 2016) – MBA

Department of Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND

  • Operations Research I (IME470/670)

Techniques to optimize and analyze industrial operations. Use of linear programming, transportation models,     networks, integer programming, goal programming, dynamic programming, and non-linear programming.

  • Logistics Engineering and Management (IME451/651)

The course is an introduction to and survey of the various logistics and supply chain issues that today’s organizations must address to remain competitive in a business climate increasingly shaped by information, speed, and flexibility

  • Quality Assurance and Control (IME460/660)

This course provides an introduction to statistical tools and techniques available for defining, monitoring, and improving quality and reliability of products, processes, and services.  Topics include statistical control charts, process capability analysis, acceptance sampling, and application of design of experiments for product and process optimization.  If time permits, Taguchi methods and reliability estimation will also be briefly covered.

Transportation and Logistics Program, North Dakota State University, Fargo, ND

  • Context Sensitive Solutions (TL755)

Context Sensitive Solutions (CSS) examine, in addition to traditional transportation engineering factors, impacts on the community as well as the natural and human environment. This course will introduce students to the main principles of CSS and allow them to learn how they are applied through use of case studies.

  • Transportation Planning and Environmental Compliance (TL752)

This course provides an overview of the procedures of transportation planning and environmental compliance, to include an understanding of the related policies and procedures as they relate to transportation systems, and compliance with local, state, and federal laws. A discussion of emissions, hazardous cargo, and permitting also will be provided.

  • Transportation System Modeling (TL753)

This course focuses on quantitative techniques used for planning and operation of transportation systems. Topics include: system capacities and flows, comprehensive models of transportation and urban systems, and understanding how political processes, new technologies, and economic considerations affect transportation decisions.

  • Spatial Analysis in Transportation (TL785)

This course focuses on applications of Geographic Information Systems (GIS) to transportation networks and problems. The emphasis is on data modeling. Topics include: linear referencing, dynamic segmentation, network analysis, urban and land use planning, routing of hazardous materials, and asset management applications.

  • Geospatial Information Systems in Transportation (TL885: Summer of 2017)

This course focuses on spatial analysis in transportation using Geographic Information Systems to build research framework and solve problems in transportation and logistics. The emphasis is on data modeling and the cutting-edge theories.