AIST2601 Technology, Society and Engineering Practice


Course code AIST2601
Course title Technology, Society and Engineering Practice
Course description This course teaches the following topics: the impact of technology on society; introduction to engineering as a profession (different engineering fields, professional societies and registration, soft skills for working in a team); engineering design and innovation; introduction to intellectual property (copyright, trademarks, registered design and patents); engineering project management; product safety; professional ethics; liability and responsibility; workplace safety; environmental impact and market requirements; case studies and experience sharing from industry; global energy policies and standards.
本科講授以下的題目:科技對社會的影響;專業工程的介紹(不同工程領域的簡介, 專業工程師學會及註冊, 團隊成員的溝通技巧);工程設計及創新;知識產權的介紹(版權,商標權,註冊設計權及專利權);工程項目的管理;產品安全;專業道德;責任及義務;工作場所的安全守則;對環境影響及市場的要求;個案研討;工程師實務經驗的分享;全球性的能源政策和標準。
Unit(s) 2
Course level Undergraduate
Semester 2
Exclusion CSCI3250 or CSCI3251 or ENGG2601 or ENGG2602
Grading basis Graded
Grade Descriptors A/A-:  EXCELLENT – exceptionally good performance and far exceeding expectation in all or most of the course learning outcomes; demonstration of superior understanding of the subject matter, the ability to analyze problems and apply extensive knowledge, and skillful use of concepts and materials to derive proper solutions.
B+/B/B-:  GOOD – good performance in all course learning outcomes and exceeding expectation in some of them; demonstration of good understanding of the subject matter and the ability to use proper concepts and materials to solve most of the problems encountered.
C+/C/C-: FAIR – adequate performance and meeting expectation in all course learning outcomes; demonstration of adequate understanding of the subject matter and the ability to solve simple problems.
D+/D: MARGINAL – performance barely meets the expectation in the essential course learning outcomes; demonstration of partial understanding of the subject matter and the ability to solve simple problems.
F: FAILURE – performance does not meet the expectation in the essential course learning outcomes; demonstration of serious deficiencies and the need to retake the course.
Learning outcomes At the end of the course of studies, students will have acquired the ability to
1. examine the impact of technology on the society and the environment;
2. recognize the contributions of engineers to the society;
3. appreciate the design and innovation aspects of engineering profession;
4. acquire the skills and tools to manage engineering projects;
5. learn the skills for working in a team;
6. understand the value of being an ethical engineer and a responsible citizen.
(for reference only)
Short answer test or exam: 50%
Essays: 25%
Presentation: 25%
Recommended Reading List 1. E.A. Stephan et al., Thinking like an engineer: an active learning approach, Pearson Prentice Hall, 3rd ed, 2015.
2. The Hong Kong Institution of Engineers web site (
3. Intellectual Property Department web site (
4. The Office of the Government Chief Information Officer (OGCIO) web site (


AISTN programme learning outcomes Course mapping
Upon completion of their studies, students will be able to:  
1. identify, formulate and solve AI-related engineering problems (K/S);  
2. 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/V);
3. understand the impact of AI solutions in a global and societal context, especially the importance of health, safety and environmental considerations to both workers and the general public (K/V);  Y
4. communicate and work effectively in multi-disciplinary teams (S/V);
5. apply knowledge of mathematics, science, and engineering appropriate to the AI degree discipline (K/S); 
6. design and conduct experiments, as well as to analyze and interpret massive data (K/S); 
7. use the techniques, skills, and modern computing tools necessary for engineering practice  appropriate to the AI and computing discipline (K/S); Y
8. understand professional and ethical responsibility (K/V); and Y
9. recognize the need for and the importance of life-long learning (V).
Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes