辅导案例-INFO5992
The University of Sydney Page 1 INFO5992 Understanding IT Innovations Ivan Chua Semester 1, 2020 Assignment II – Commercialisation Report The University of Sydney Page 2 Copyright warning COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been reproduced and communicated to you by or on behalf of the University of Sydney pursuant to Part VB of the Copyright Act 1968 (the Act). The material in this communication may be subject to copyright under the Act. Any further copying or communication of this material by you may be the subject of copyright protection under the Act. Do not remove this notice. The University of Sydney Page 3 Focus of your assignment The University of Sydney Page 4 Assessments Assessment name Team-based Weight Due Weeks Assessed Outcomes- Assessed Assignment I No 15% Week 7 Week 1-3 LO1, LO2, LO3 Mid-Semester Exam No 15% Week 8 Week 1-6 LO1, LO2, LO3, LO4, LO5, LO6, LO7 Assignment II No 20% Week 13 Week 7-10 LO8 Final Exam No 50% Exam Period Week 1-12 LO1 to LO11 The University of Sydney Page 5 Commercialisation Report Assessment II The University of Sydney Page 6 Innovation Report – Learning Objectives – Research into the business model of a company which is at the commercialization stage – Undertake critical analysis of a company’s business model and the – Analyse impact of an emerging technology on a company’s business model The University of Sydney Page 7 Overview of Assignment II – Select an IT company which has an IT product in the market and is being used by paying customers – this is your “case study”. The company can be in any industry. – If the company offers more than one product, choose ONE product to focus on for this assignment. – The company which you choose must be deploying the emerging technology which is assigned to you in Assignment I. Key details: – Individual assignment – There is a 3,000-word limit for this assignment. (Previously 2,000 – but has been increased to 3,000) – Due 31 May 2020 at 11:59pm. The University of Sydney Page 8 Report Structure Section % of marks Requirements Recommended Word limit (optional) Additional Section 1: Value Proposition Canvas & Value Pyramid 40% • Apply and evaluate ‘Customer Profile’ from the Value Proposition Canvas to your chosen case study (consisting of customer jobs, pains and gains). Provide supporting evidence. • Apply and evaluate ‘Value Map’ from the Value Proposition Canvas to your chosen case study (consisting of products, pain relievers and gain creators). Provide supporting evidence. • Discuss and evaluate the Fit between the Customer Profile and the Value Map • Identify and discuss the three most significant value propositions from the Value Pyramid 1,200 words You are not required to identify a complete list of jobs – after you have done your research, rank them, and focus on the most significant ones (refer to page 11 of the lecture week 9) The University of Sydney Page 9 Report Structure (Continued) Section % of marks Requirements Recommended Word limit (optional) Additional Section 2: Business Model Canvas 40% • Apply and evaluate all nine building blocks of the business model canvas – in the same order that is discussed in the lecture. • Provide a one-page summary of your business model canvas – you may download the template here: https://www.strategyzer.com/canvas/business- model-canvas 1,200 words For the ‘Customer Segment’ and ‘Value Proposition’ discussions, you may draw on the conclusions of your discussion in Section 1 without repeating the analysis. Make sure that you have a clear structure in your response (i.e. a heading for each block, and your response under the heading) The University of Sydney Page 10 Report Structure (Continued) Section % of marks Requirements Recommended Word limit (optional) Additional Section 3: Impact of Emerging Technology on Business Model 20% • Identify and discuss the impact of your assigned emerging technology on the business model canvas (i.e. which blocks are affected and how?) • Drawing on your discussion in Assignment I, how would the future development of the emerging technology change the business model canvas? 600 words The University of Sydney Page 11 Report Template Section 1.1 Value Proposition Canvas Customer Profile Customer jobs {insert discussion} Pains {insert discussion} Gains {insert discussion} Value Map Product offering {insert discussion} Pain Relievers {insert discussion} Gain Creators {insert discussion} Fit between Customer Profile & Value Map {insert discussion} Section 1.2 Value Proposition Pyramid {insert discussion on value proposition #1} {insert discussion on value proposition #2} {insert discussion on value proposition #3} Section 1 – Value Proposition Canvas & Value Proposition Pyramid The University of Sydney Page 12 Report Template Section 2.1 Business Model Canvas Discussion Building Block #1 – describe it (e.g. “Customer Segment”) {insert discussion} Building Block #2 {insert discussion} Building Block #3 {insert discussion} … Building Block #7 {insert discussion} Building Block #8 {insert discussion} Building Block #9 {insert discussion} Section 2.2 Business Model Canvas Summary {insert a summary based on the diagram which can be found here: https://www.strategyzer.com/canvas/business-model-canvas} Section 2 – Business Model Canvas The University of Sydney Page 13 Report Template Section 4.1 Impact based on current development {insert discussion} Section 4.2 Impact based on future development Section 3 – Impact of Emerging Technology on Business Model The University of Sydney Page 14 Report Structure (Cont.) – Figures (images or diagrams), tables and quotes are typically very effective in an essay. Please use them, but only if it adds useful information to your report. If you do, you must reference the source of the information. – You are encouraged to create your own figures and tables. If you do, show that you created them (e.g. “created by Firstname Surname for INFO5992”) – When referring to a figures / tables, make sure appropriate description is given so that they are understandable – figures / tables contain a lot of information! – There is no template – please use a template of your own choice. It is OK for the text to be either single-spaced or double-spaced. – Use Harvard or Vancouver referencing style – keep your referencing style consistent The University of Sydney Page 15 Notes for the Report – Choosing one example company from an Industry: – If possible, choose an example that are current or from the last three years. – Try to pick examples that are discussed in a reputable Journal / Conference articles – You may choose to use an example from your own company (if you have permission to use any material needed). – If in doubt about whether your topic or example are appropriate, check with the Teaching team – New examples – innovation is a fast moving topic! – Do not necessarily accept all that you read at face-value, e.g. from self-published articles. The University of Sydney Page 16 Notes for the Report – Sources: – Read widely; read journal articles (eg online through the library), online magazines and high quality blogs. – Using reliable scholarly sources – innovation literature – Wikipedia is highly variable in quality, derivative and typically not a good source for your essay (except perhaps for gaining a general understanding before reading more deeply from the literature or high- quality blogs) – Company websites are rarely unbiased descriptions of examples (though may provide some useful information that should be understood in its context) – There are tips on library use (and referencing) at http://www.library.usyd.edu.au/skills/ The University of Sydney Page 17 Assignment Topics -- Technologies The University of Sydney Page 18 Refer to the “Assignment Topic List” on Canvas to find out which technology you are assigned for Assignment I & II The University of Sydney Page 19 The ten technologies selected for this assignment are based on the Gartner Hype Cycle The University of Sydney Page 20 Option 1: 3D Sensing Cameras 3D sensing cameras generate 3D images. For the purpose of this assignment, students should focus on the software aspects and the application of the technology. However, a brief explanation of the hardware is provided below for context. There are 3 common ways: stereoscopic imaging, structured light illumination, and flood illumination. Stereoscopic imaging use two cameras at different angels to capture images. Image-processing software identifies common features in both images and extract distance information following a triangulation method. In a structured light camera, the infrared illuminator projects a predetermined pattern onto the scene, which can be decoded by specific algorithms to extract depth information over the entire image. A time-of-flight camera (flood illumination) requires a uniform, high-frequency modulated infrared light to be projected onto the scene. The sensor is synchronised with the illuminator and utilises the light that is reflected by objects into the scene to determine the distance to these objects. The University of Sydney Page 21 Option 2: Graph Analytics Graph analytics is analytics applied to a graph database. Graph databases are based on a model of representing individual entities and numerous kinds of relationships that connect those entities. It employs a graph for representing connectivity, consisting of a collection of vertices (aka nodes or points) that represent the modelled entities, connected by edges (aka links, connections or relationships) that capture the way that two entities are related. Unlike the traditional relational database, graph databases places greater emphasis on the relationships between entities - in which analytics can be applied on the graph (hence graph analytics) to conduct path, connectivity, community and centrality analysis. The University of Sydney Page 22 Option 3: Edge Analytics Edge analytics refers to data analytics undertaken close to the edge, where things and people generate or consume that data to save response time and save bandwidth. Examples include on self-driving cars, satellites and wearable devices. The University of Sydney Page 23 Option 4: Earth Observation Software via Low-Earth Orbit Satellite Systems (also known as "CubeSats") Low-Earth Satellites, also known as "cubesats", revolve at an altitude between 160 to 2,000 kilometers. Unlike a traditional satellite, a low-earth satellite is small, located at lower altitudes, and . A constellation of LEO satellites can provide continuous, global coverage as the satellite move, as well as provide images of the earth with higher resolution given that they are located at lower altitudes. For the purposes of this assignment, emphasis should be placed on the software rather than hardware -- meaning "earth observation" (the software capturing and analyses images) rather than the satellite itself. The University of Sydney Page 24 Option 5: Explainable AI (XAI) Recent years have seen significant advances in the capabilities of artificial intelligence -- being able to produce highly accurate results (e.g. predictions). However, they are also highly complex if not outright opague, rendering their workings difficult to interpret. There has been growing discussion about the extent to which individuals are able to understand how AI works and why a particular decision was reached. Explainable AI addresses the issues of "black-box models" by making AI interpretable, explainable, transparent, justifiable and contestable. The University of Sydney Page 25 Option 6: Transfer Learning Traditional data mining and machine learning algorithms make predictions on the future data using statistical models that are trained on previously collected labelled or unlabelled training data. Most of them assume that the distributions of the labelled and unlabelled data are the same. Transfer learning, in contrast, allows the domains, tasks and distributions used in training and testing to be different. In the real world, we observe many example, we may find that learning to recognise apples might help to recognise pears. Similarly, learning to play the electronic organ may help facilitiate learning the piano. The study of transfer learning is motivated by the fact that people can intelligently apply knowledge learned previously to solve new problems faster or with better solutions. Traditional machine learning techniques try to learn each task from scratch, while transfer learning techniques try to transfer the knowledge from some previous tasks to a target task when the latter has fewer high-quality training data. The University of Sydney Page 26 Option 7: Emotion AI (Emotion Detection) Emotion AI is the task of recognising a person's emotional state -- for example, anger, confusion or deceit both voice and nonvoice channels. The most common analyses the characteristics of the voice signal, with word use as an additional input, if available. The University of Sydney Page 27 Option 8: Virtual Reality (VR) or Augmented Reality (AR) (Only choose one) Virtual reality provides a computed-generated 3D environment (including both computer graphics and 360-degree video) that surrounds a user and responds to an individual's actions in a natural way, usually through immersive head-mounted displays. Gesture recognition or handheld controllers provide hand and body tracking, and haptic (or touch-sensitive) feedback may be incorporated. Room-based systems provide a 3D experience while moving around large areas, or they can be used with multiple participants. Augmented reality (AR) is the real-time use of information in the form of text, graphics, audio and other virtual enhancements integrated with real-world objects. It is this "real world" element that differentiates AR from virtual reality. AR integrates and adds value ot the user's interaction with the real world, versus a simulation. The University of Sydney Page 28 Option 9: Digital Twin A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is an encapsulated software object or model that mirrors a unique physical object, process, organisation, person or other abstraction. Data from multiple digital twins can be aggregated for a composite view across a number of real-world entities, such as a power plant or a city, and their related processes. The University of Sydney Page 29 Option 10: Robotics Process Automation (RPA) Robotic process automation (RPA) is a productivity tool that allows a user to configure one or more scripts (which some vendors refer to as "bots") to activate specific keystrokes in an automated fashion. The result is that the bots can be used to mimic oor emulate selected tasks (transaction steps) within an overall business or IT process. These may include manipulating data, passing data to and from different applications, triggering responses, or executing transactions. RPA uses a combination of user interface interaction and descriptor technologies. The scripts can overlay on one or more software applications. The University of Sydney Page 30 Submissions The University of Sydney Page 31 Submission Notes – Due at the end of Week 13 on 31 May 2020 (11:59PM) – The essay must be submitted electronically through Canvas and must be submitted in PDF format. – It will go through Turnitin – The electronic submission must be accompanied by a signed individual assessment coversheet (either in the same file or in a separate file) available from: – http://sydney.edu.au/engineering/it/current_students/postgrad_coursework /guidelines/assessment-guidlelines.shtml The University of Sydney Page 32 Late assessments – Suppose you hand in work after the deadline – If you have not been granted special consideration or arrangements – A penalty of up to 20% of the available marks will be taken, per day (or part) late • E.g. your work would have scored 60% and is 1 hour late you get 40% • E.g. your work would have scored 70% and is 28 hours late you get 30% – Submit early; you can resubmit if there is time before the deadline – Each semester, there are always unfortunate cases – if any issues with the submission, email BEFORE the submission time as a proof The University of Sydney Page 33 Finding the right References The University of Sydney Page 34 References – Find journal articles or high-quality online sources on the topic – News / Magazine / Editorial articles can be used to support your topic, e.g., used as an example – Consultancy reports e.g., HBR, McKinsey are OK, especially as they introduce newer topics / examples – If in doubt about quality of reading, please check with your teaching team – Note: Be careful in how you treat information from companies (such as press releases, product websites, whitepapers) as they may be biased!) The University of Sydney Page 35 References – University Library – https://library.sydney.edu.au/ – Google Scholar – https://scholar.google.com.au/ – Google – Be careful of identifying reliable sources – ! Wikipedia – perhaps only for you to read and understand The University of Sydney Page 36 Reference Management Software – Make maintaining references and creating bibliographies easy – EndNote: • Free for Uni of Sydney staff and students • For Windows, Mac • Plug-in for MS Word • http://libguides.library.usyd.edu.au/endnote – Zotero: • Free, open source • For Windows, Mac, Linux, … • Plug-in for Firefox, MS Word, Open Office • http://www.zotero.org – Many others: • http://en.wikipedia.org/wiki/Comparison_of_reference_management_s oftware The University of Sydney Page 37 Other resources – https://library.sydney.edu.au/help/online-training/elearning/ The University of Sydney Page 38 Academic dishonesty and plagiarism The University of Sydney Page 39 Academic dishonesty and plagiarism • Please read the University policy on Academic Honesty carefully: http://sydney.edu.au/elearning/student/EI/academic_honesty.shtml • All cases of academic dishonesty and plagiarism will be investigated • There is a new process and a centralized University system and database • Three types of offenses: • Plagiarism – when you copy from another student, website or other source. This includes copying the whole assignment or only a part of it. • Academic dishonesty – when you make your work available to another student to copy (the whole assignment or a part of it). There are other examples of academic dishonesty. • Misconduct - when you engage another person to complete your assignment (or a part of it), for payment or not. This is a very serious matter and the Policy requires that your case is forwarded to the University Registrar for investigation. The University of Sydney Page 40 Penalties • The penalties are severe and include: 1) a permanent record of academic dishonesty, plagiarism and misconduct in the University database and on your student file 2) mark deduction, ranging from 0 for the assignment to Fail for the course 3) expulsion from the University and cancelling of your student visa • Do not confuse legitimate co-operation and cheating! You can discuss the assignment with another student, this is a legitimate collaboration, but you cannot complete the assignment together – everyone must write their own code or report, unless the assignment is group work. • When there is copying between students, note that both students are penalised – the student who copies and the student who makes his/her work available for copying The University of Sydney Page 41 Detection • We will use the similarity detection software TurnItIn and MOSS to compare your assignments with these of other students (current and previous) and the Internet • Turnitin is for text documents: http://www.turnitin.com/en_us/higher-education • MOSS is for programming code: https://theory.stanford.edu/~aiken/moss/ • These tools are extremely good! • e.g. MOSS cannot be fooled by changing the names of the variables or changing the order of the conditions in if-else statements • Examples of plagiarism in programming code: • http://www.upenn.edu/academicintegrity/ai_computercode.html The University of Sydney Page 42 Student excuses • All these are cases of plagiarism and academic dishonesty we have seen in our school • The student excuses are not acceptable: • I sat the test and then posted the questions and solutions to my friends whose test was later in the week. I only wanted to help them understand the concepts that are examinable. • I posted parts of my code on my web page (or the group discussion forum) because my solution was cool (or I wanted to help them). I didn’t expect them to copy it. • I tried to do the assignment on my own but I had problems with the extension part that I couldn’t fix, so I submitted my core part and his extension part. I didn’t cheat. • I finished my assignment but my friend had family problems. I felt sorry for her, so I gave her my assignment as an example. She said she only wanted to have a look and promised not to copy it. The University of Sydney Page 43 Students excuses (2) • The test has finished but the tutor hasn’t collected the papers yet. I showed my answer to my friend. I didn’t expect him to copy it. • He is my best friend. I had no choice but to let him copy my assignment. • I couldn’t find a partner to work in pairs, so I joined their pair as they are my friends (when only groups of maximum of 2 students are allowed – illegitimate collaboration). The University of Sydney Page 44 Key message • Plagiarism and any form of academic dishonesty will be dealt with, and the penalties are severe • We use plagiarism detection systems such as MOSS that are extremely good. If you cheat, the chances you will be caught are very high. • If someone asks you to see or copy your assignment, or to complete the assignment instead of them, just say: I can’t do this - we can both be thrown out of the University. I will not risk my future by doing this. Be smart and don’t risk your future by engaging in plagiarism and academic dishonesty!