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• PSY 546: PSYCHOPATHOLOGY

  3.00 Credits

  Kutztown University of Pennsylvania

  
  This course presents an overview of adult and child mental disorders. The causes, characteristics, and, to some extent, treatment of these disorders will be discussed. The focus is on the relationship between the psychological, biological, social, environmental and cultural influences on emotional and mental health. Differential diagnoses will be discussed as well. The current DSM diagnostic manual criteria and other diagnostic schemas will be discussed.
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• PSY 565: THEORIES OF LEARNING

  3.00 Credits

  Kutztown University of Pennsylvania

  
  This course focuses on how human beings and animals learn. It covers principles and applications of classical conditioning, operant conditioning, social learning, and cognitive learning approaches.
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• SCI 100: INTRO SCIENTIFIC PROBLEM SOLVE

  3.00 Credits

  Kutztown University of Pennsylvania

  
  SCI 100 combines fundamental scientific content knowledge with mathematical and logical reasoning to help students solve scientific problems. Students will develop and utilize problem solving strategies for a variety of scientific topics. This course will improve students' number sense, algebra skills, and graphical interpretation. In parallel, students will reflect on what practices and skills best lead to meaningful individualized learning within scientific disciplines. This course is intended primarily for first semester science majors or students considering transferring into a science major, This course does not satisfy major, minor, or specialization requirements for Secondary Education and/or Liberal Arts Science Majors. This course cannot be taken by students with more than 30 credits or successful completion of either CHM 102 or PHY 102 or GEL 102 or BIO 106 without the written permission of the instructor.
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• SCI 220: PRAC SCAN ELECTRON MICROSCOPY

  3.00 Credits

  Kutztown University of Pennsylvania

  
  A practical introduction to the basic concepts underlying electron beam analysis of materials, emphasizing signals generated by scanning electron microscopes, including secondary electron, backscatter electron, scanning transmitted electron, and cathodoluminescence imaging, as well as energy dispersive x-ray spectroscopy. Topics include sample preparation, basic SEM operation, strategies for ameliorating complications in data collection, and brief introduction to emerging analytical methods such as electron backscatter diffractometry, electron energy-loss spectroscopy, and focused ion beam microscopy.
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• SCI 240: THE WRITING SCIENTIST

  3.00 Credits

  Kutztown University of Pennsylvania

  
  If you want to be an effective scientist, you must be an effective writer; communication of science is a vital part of the scientific process. This course develops the writing skills required of scientists writing within the context of the scientific process. Topics focus on building skills in the use of scientific data and literature, the reading and citing of peer-reviewed materials, explanation of scientific concepts, equations, and data to diverse audiences, and preparation and discussion of effective visualizations and graphs. Course assignments range from technical summaries and abstracts to figure captions and general audience pieces, capturing the breadth of writing practiced across the scientific professions. Students read a variety of scientific literature as models, engage with data to produce written and visual artifacts, edit their own and their colleagues work, and present their writing in the classroom setting.
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• SCI 250: SCIENTIFIC STORYTELLING

  3.00 Credits

  Kutztown University of Pennsylvania

  
  Science is more than just facts, definitions and details. It is a complex and integrated process. Communicating accurate details and the process of science is challenging, but using a narrative framework can help. Therefore, this course uses the techniques of audio storytelling to develop narratives that contextualize scientific information, theories, and process.
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• SCM 260: PRINCIPLES OF SUPPLY CHAIN MGM

  3.00 Credits

  Kutztown University of Pennsylvania

  
  Supply Chain Management (SCM) is a cross-functional discipline concerned with the management of flow of goods, services and information. This introductory course to SCM provides an understanding of fundamental supply chain concepts. Many functional areas of supply chain management are explored in an integrated view of procurement, manufacturing and operations management, transportation and logistics, inventory and warehousing, demand planning, scheduling, network design, collaboration and performance measurement. The course covers both the tactical and strategic perspectives of SCM, and is based on supply chain operations in the real world.
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• SCM 320: APPLIED PROJECT MANAGEMENT

  3.00 Credits

  Kutztown University of Pennsylvania

  
  This course focuses on the process of project management. Students will be expected to learn the terminology of project management and the conditions for success. Additionally, students will learn about the characteristics of different types of projects in a variety of fields, including business, technology, arts, and personal development.
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• SCM 361: PRIN OF BUS LOGISTICS

  3.00 Credits

  Kutztown University of Pennsylvania

  
  This course gives students knowledge of logistics principles and functions and enables them to apply this knowledge in enterprises and organizations of all types. It surveys all the fundamental elements of the supply chain and provides a framework for analysis and understanding of logistics systems. It addresses organization and functions of the elements of the supply chain, processes within the supply chain, and strategic issues, including globalization of supply chains.
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• SCM 362: SUPPLY CHAIN ANALYTICS

  3.00 Credits

  Kutztown University of Pennsylvania

  
  This course presents various analytical approaches that are often utilized by businesses to design, manage, and improve their supply chains. The optimization techniques such as linear programming (LP), integer programming (IP), mixed integer programming (MIP), and nonlinear programming are discussed in the course. The course focuses on the process of creation of analytical models and solution techniques (algorithms) in the context of supply chain management. The use of Queuing theory and simulation approaches are also explored in the course. Students use a variety of software (Spreadsheet, etc.) and algorithms for modeling and problem solving.
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