Quantitative Methods in Science - Requires Interleaving Mathematical - Computing, and Science Aspects - Engineering Assignment Help

Assignment Task :

Other Important Information 

1. The Final Examination will be available on the LearnJCU subject site in the Assessments / Final Exam folder on the day and at the time scheduled by JCU Examinations. Extra time has been allocated in the exam timeframe to assist with your exam completion.

2. Your Subject Coordinator will be available in the Collaborate room on LearnJCU during the first If you need to you may also phone 1800 246 446 (have your subject code ready).

4. Your exam will be completed online. Marks are shown at the end of each question.

5. The Final Examination is unsupervised. It must be your own work. Plagiarism must not occur.

Do not copy from another student. If you are suspected of submitting work that is not your own, you may be required to provide an oral defense of your exam paper. Information on student academic misconduct and plagiarism is available at https://www.jcu.edu.au/students/exams-and- results/student-academic-misconduct. By submitting your answers, you are acknowledging the plagiarism declaration that confirms the answers are entirely your own work.

6. In preparation for an online exam, please undertake the practice exam in your Assessment folder. 

This will ensure you are familiar with the technology you will be using and will reduce your anxiety on the day of the final exam.

7. Information about how to undertake an online exam including a quick help guide to troubleshoot 

General comments about preparing for Quantitative Methods in Science exams 

1. Repetition is always a clue for importance. Material that is presented in the textbook, lecture, and tutorial must be really important! The exception being that the binomial and Poisson distribution was not covered much in the text, these topics are still really very important. 

2. This is an interdisciplinary subject that combines maths x computing x science. This subject does require some learning of definitions, but there is a strong applied nature to the subject, so practicing problem solving like redoing your tutorial and assignment problems is a good idea. Also, since this is an interdisciplinary subject you may be asked a problem that requires interleaving mathematical, computing, and science aspects. 

3. Please be familiar with the readings in the textbooks and the external links to videos in the Roadmap. 

4. The Checklist in the weekly Roadmaps is an excellent way for finding holes in your study preparation. Great to go over the checklist with your peers. 

5. Exam questions may be similar to, or an extension of Roadmap exercises and assignment problems or matters discussed in lectures. 

6. Exam questions will test your understanding of theoretical concepts, and your ability to apply these concepts to solve real world problems. 

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