Serkan Yilmaz
Assistant Clinical Professor
Department Supply Chain & Information Systems
Office Address 471B 471B Business Building
Phone Number
814-863-1232
Email Address
sxy149@psu.edu
Serkan Yilmaz
Assistant Clinical Professor
Department Supply Chain & Information Systems
Office Address 471B 471B Business Building
Phone Number
814-863-1232
Email Address
sxy149@psu.edu
Courses Taught
SCM 405 – Mfg Svc Strat (3)
Investigates manufacturing and services strategies in supply chain networks. SCM 405 Manufacturing and Services Strategies (3)This course examines manufacturing and services strategies, with special emphasis given to quality management concepts, methods, and issues. After completing this course, students will have the knowledge, skills, and abilities to: Explain the role of manufacturing or services operations from the boundary-spanning perspective of supply chain management and how supply chain management can be used as a strategic competitive advantage Articulate how the various components of a manufacturing strategy are integrated, particularly with respect to the use of information technologies for supply chains Effectively apply operational and quality tools useful in implementing manufacturing strategies. Individual and team assignments form the basis for evaluation. Evaluation methods include a combination of class participation, exams, 'hands-on' exercises, case studies, and written assignments. This is one of three prescribed foundation courses in the Supply Chain and Information Systems major for which B A 302 'Supply Chains' is a prerequisite. The course is also an important prerequisite for the capstone course in the major, SC&IS 450 'Supply Chain Leadership.'
SCM 496 – Indep Studies (Variable)
Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
SCM 497 – Special Topics (3)
Formal courses given infrequently to explore, in depth, a comparatively narrow subject that may be topical or of special interest.
BAN 830 – Descriptive Analytics for Bus (3)
BAN 830 explores the use of descriptive analytics concepts, tools, and techniques throughout a wide range of business scenarios and problems. Initially focusing on the application of traditional descriptive analytics techniques to answer the question, "What happened?," the course provides opportunities for students to perform spreadsheet- and programming-based data acquisition, cleaning, manipulation, and visualization using data derived from various business contexts to inform business leaders' decisions. Later, students progress to applying advanced statistical techniques and concepts including descriptive measures, sampling and estimation, and inference in both spreadsheet and programming environments. The course concludes with a bridge to predictive analytics as students apply linear and multiple linear regression to business-related data in search of relationships among input and output variables. Software packages, concepts, and business applications will vary and evolve to keep pace with technology, theory, and instructor interests.