Thinking and design technology
Thinking and design technology
SIT105 Thinking Technology and Design – T1, 20 21 PAGE 1 OF 2 SIT105 THINKING TECHNOLOGY AND DESIGN APPLIED PROJECT DUE: 21 MAY 2021 AT 8.0 0PM UNIT LEARNING OUTCOMES Two ‘Unit Learning Outco me (ULO)’ of this unit are used for this assessment: (ULO2 ) develop strategies using generic and IT specific techniques to explore algorithms and ( ULO3 ) Create algorithms using the input -processing -output model, defining diagrams and pseudocode to demonstrate simple program design. This assignment requires you to design and develop algorithms using pseudocode . The assignment will indicate whether students can partially attain the associated Unit Learning O utcomes. INSTRUCTIONS Read the entire assignment sheet, the rubric and a nswer all the following tasks below . Place your name, ID and answers in your document. Please note that only MS Word (docx) may be submitted . The word count is 1500 words max (upper limit) , so be concise and efficient with your pseudocode ! Submit your ass ignment document on CloudDeakin Applied Project folder . INTRODUCTION Metro has chosen Boston Dynamics as the vendor to produce the automated passenger train discussed in the Critical Thinking Task . The project is now be ing broken down into segments (divide and conquer) by the project manager. They have outlined that one major part of this project is to develop the algorithms (artificial intelligence) to operate the train and ensure it does what it is designed to do safel y and successfully. So, your goal as the softw are developer is to create 2 key algorithm modules in pseudocode format (not programming languages) . APPLIED PROJECT: DESIGN THE AUTOMATED TRAIN ALGORITHM FUNCTIONALITY ! The purpose of this applied project is to d evelop the overall algorithm for the automated train ; however , this will begin with developing functionality for only 2 main operations , one easier and one more difficult described below (you will need a variety of modules). Your algorithm should begin with a Main() & END where all sub -modules will be launched from. TASK 1 – FUNCTIONALITY : AUTOMATIC FEE DEDUCTION (BEGINNER -INTERMEDIATE) Fees need to be automatically deducted from passengers’ accounts. 1. Assume passengers ’ identity information including accounts have been stored already in the online database. 2. When a passenger walks toward the entry gate (entry point to the train station ), the mounting camera will scan the fac e, the passenger will then select a trip. When the scanned face data matches that in the database, the entry gate will be opened, and a fee will be deducted automatically from the corresponding passenger’s account. 3. Fees: (1) if the trip is less than 10 km, the fee is $3; (2) if the trip is equal to or larger than 10 km, but less than 80 km, the fee is $10; (3) if the trip is equal to or more than 80 km, the fee is $15. (4) the maximum trip is 130 km. 4. Print messages if needed. 5. You will need to demonstrate the use of both a selection statement and repetition statement in Task 1. 6. You need to submit your defining diagram for this question and the algorithm written in pseudocode. 7. Hint : face involves characteristics like eye, hair etc. If you feel like going for a high score on this task, you need to consider the characteristics and the trip distances , and use modules where possible . TASK 2 – FUNCTIONALITY: ENTRY & TRAVEL & EXIT (INTERMEDIATE -ADVANCED) In this second task we focus on the whole procedure, including entry , travel and exit . 1. You already have your algorithm for Task 1. Use/call your algorithm properly in this task. 2. After entry, each passenger needs to board a train to start travel. SIT105 Thinking Technology and Design – T1, 20 21 PAGE 2 OF 2 3. Mange speed of the train: ‘fast’, ‘slow’, ‘start’, ‘ stop’ . 4. Manag e the boarding and leaving of passengers from the train. count the number of passengers. when should you unlock/open the doors? assume there is a sensor at all doors which keeps track of how many enter or leave a train (maximum allowed on a tra in is 1000). 5. Mange the exiting of a station (after finish ing the travel) . Face scanned again, allowing machine to check if the deduction is matched with the trip (i.e. trip distance) . 6. Return trip is NOT required. 7. You will need to demonstrate the use of bot h a selection statement and repetition statement in this task . 8. You need to design your algorithm sequential cohesion and data coupling . 9. You need to submit your algorithm sub -module written in pseudocode (NO defining diagram required).
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