ENGG3802 Introduction to Engineering Entrepreneurship


Course code ENGG3802
Course title Introduction to Engineering Entrepreneurship
Course description The 1-unit course will introduce engineering entrepreneurship and provide the key basic concepts needed in the preparation of technical proposals and business plans.  The course will introduce students to analytical process of evaluating new ideas, and metrics to compare ideas with existing approaches in the market.  The course will include in class discussion of forecasts based on market size estimates, cashflow analysis and technical development plans.  The course objective is to prepare students to develop and present their innovative technical ideas that have potential for practical development as a preliminary entrepreneurship project in the following semester in ENGG3803.  In addition to a formal written proposal to describe their ideas, students will also be asked to present their proposal to the course instructor. Shortlisted proposals will be invited to a second presentation where a panel of experienced engineering entrepreneurs select proposals for further development.
本一學分科目介紹工程創業,並提供草擬技術方案及商業計劃所必備的基本概念。內容包括評估新理念的分析過程,以及與市場上現行方法進行指標上的比較。課堂會討論基於市場規模估計、現金流量分析、及技術發展規劃的預測。本科旨在培養學生發展及展示他們的創新技術理念,而這理念有實際發展的潛力, 並可作為下學期ENGG3803當中的初步創業項目。除了正式的書面建議書,學生亦需要向課程導師作出展示。入選的提案將被邀請到經驗豐富的工程企業家前進行第二輪的展示,以作進一步的發展。
Unit(s) 1
Course level Undergraduate
Semester 1
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 By the end of the course, students should
– understand the key concepts of engineering entrepreneurship
– be able to write and present technical proposals and business plans
– be able to evaluate and compare new ideas against existing approaches
– understand the importance of market size, cash flow, and technical development
(for reference only)
Recommended Reading List Value Management: Creating Competitive Advantage , J. Jerry Kaufman (Sakura Press 2008).
Value Engineering: A Plan for Invention, Richard Park (1998).


CSCIN programme learning outcomes Course mapping
Upon completion of their studies, students will be able to:  
1. identify, formulate, and solve computer science problems (K/S);
2. design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs (K/S);
3. receive the broad education necessary to understand the impact of computer science solutions in a global and societal context (K/V);
4. communicate effectively (S/V);
5. succeed in research or industry related to computer science (K/S/V);
6. have solid knowledge in computer science and engineering, including programming and languages, algorithms, theory, databases, etc. (K/S);
7. integrate well into and contribute to the local society and the global community related to computer science (K/S/V);
8. practise high standard of professional ethics (V);
9. draw on and integrate knowledge from many related areas (K/S/V);
Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes; T = Teach; P = Practice; M = Measured