| Course code | CENG3410 |
| Course title | Smart Hardware Design 智能硬件設計 |
| Course description | This is a hands-on project-based course that introduces the devices, system architecture, communication protocol and design methodology needed for the design and construction of smart hardware systems. With the advent of affordable sensors and Internet of Things (IoT), smart hardware systems such as all sorts of wearable devices and smart home appliances are expected to significantly improve people’s living style and enhance work efficiency. Students in this course will work in groups to develop small smart hardware systems, prototype their designs and testing them. 本科介紹智慧硬體中使用的器件、系統架構、通信協議以及設計方法。隨著感測器的普及以及物聯網的應用，智慧硬體（如各種可穿戴設備和智慧家居產品）將大大提高人們的生活品質和工作效率。本科的學生將以小組為單元設計小型的智慧硬體，進行原型驗證和測試。 |
| Unit(s) | 3 |
| Course level | Undergraduate |
| Exclusion | IERG3830 |
| Semester | 1 or 2 |
| 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 objectives | At the end of the course of studies, students will have acquired 1. knowledge in sensor technology, system architecture and communication protocol used in smart hardware design; 2. skills to implement a smart hardware system given the specification; |
| Learning outcomes | At the end of the course of studies, students will have acquired the ability to 1. Understand the limitations and benefits of various sensors used in smart hardware systems; 2. Choose the right devices, system architecture, and communication protocol to implement a particular smart hardware system; 3. Mange a small smart hardware development project. |
| Assessment (for reference only) |
Project: 50% Lab reports: 20% Presentation: 20% Quiz: 10% |
| Recommended Reading List | 1. Ubiquitous Computing: Smart Devices, Environments and Interactions 2. Make: Sensors: A Hands-On Primer for Monitoring the Real World with Arduino and Raspberry Pi |
| CENGN programme learning outcomes | Course mapping |
| Upon completion of their studies, students will be able to: | |
| 1. identify, formulate, and solve computer engineering problems (K/S); | TP |
| 2. design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs (K/S); |
TP |
| 3. receive the broad education necessary to understand the impact of computer engineering solutions in a global and societal context (K/V); | |
| 4. communicate effectively (S/V); |
|
| 5. succeed in research or industry related to computer engineering (K/S/V); |
P |
| 6. have solid knowledge in computer engineering, including programming techniques, circuit design, micro-system prototyping, solid state device development, algorithms and theory, etc. (K/S); | TP |
| 7. integrate well into and contribute to the local society and the global community related to computer engineering (K/S/V); | |
| 8. practise high standard of professional ethics (V); | |
| 9. draw on and integrate knowledge from many related areas (K/S/V); |
TP |
| Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes; T = Teach; P = Practice; M = Measured | |