| Course Code and Name: FTEC4002 Behavioral Analytics | ||||||||||||||
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| Course Objectives: Behavioral analytics is a recent advancement that reveals customer behaviors. In this course, we will focus on (i) how to use optimization techniques to design survey questions and to collect data that are relevant to customer behaviors, (ii) theories of customer behaviors, especially those under risk, (iii) how to use data mining techniques to reveal customer behaviors, and (iv) psychological biases in customer behaviors and their impact on financial and business decisions. |
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| Course Outcomes: At its completion, the students should be able to apply basic tools of behavioral analytics to reveal investor and customer behaviors and apply them to financial and business decisions. | Programme Outcomes: (P1) The ability to apply knowledge of mathematics, science, and engineering appropriate to the degree discipline (K/S) (P2) The ability to design and conduct experiments, as well as to analyze and interpret data (K/S) (P3) The ability to design a system, component, or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability (K/S) (P4) The ability to function in multi-disciplinary teams (S/V) (P5) The ability to identify, formulate, and solve engineering problems (K/S) (P6) The understanding of professional and ethical responsibility (V) (P7) The ability to communicate effectively (S) (P8) The ability to understand the impact of engineering solutions in a global and societal context, especially the importance of health, safety and environmental considerations to both workers and the general public (V) (P9) The ability to recognize the need for, and to engage in life-long learning (V) (P10) The ability to stay abreast of contemporary issues (S/V) (P11) The ability to use the techniques, skills, and modern engineering tools necessary for engineering practice appropriate to the degree discipline (K/S) (P12) The ability to use the computer/IT tools relevant to the discipline along with an understanding of their processes and limitations (K/S/V) (P13) The ability to apply the skills relevant to the discipline of operations research and information technology and their applications in engineering and managerial decision making, especially in financial services, logistics and supply chain management, business information systems, and service engineering and management (K/S) K = Knowledge outcomes S = Skills outcomes V = Values and attitude outcomes |
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