SCIF1004 Science and the Cinema Coversheet for SCIF1004 Science and the Cinema

SCIF1004 Science and the Cinema

Coversheet for SCIF1004 Science and the Cinema

Free-Form Piece Submissions

Student 1 (full name): Sam Gopal Nag

Student 1 z-id:

Student 2 (full name): Johan Bui-Nguyen

Student 2 z-id:

Student 3 (full name): Ga Wing Gordon Wu

Student 3 z-id:

Group Contributions: You must work together and submit this assessment task as a group (every student will receive the same grade – only one submission per group is required). If you feel that a team member either did not contribute or contributed erroneous material (paramount to nothing) you must contact the course coordinator before the submission deadline.

By submitting the assignment with this coversheet I/we declare that this assessment item is our own work, except where acknowledged, and has not been submitted for academic credit elsewhere, and acknowledge that the assessor of this item may, for the purpose of assessing this item: reproduce this assessment item and provide a copy to another member of the University; and/or, communicate a copy of this assessment item to a plagiarism checking service (which may then retain a copy of the assessment item on its database for the purpose of future plagiarism checking). I certify that I have read and understood the University Rules in respect of Student Academic Misconduct

Full UNSW policy concerning student misconduct is available via: https://student.unsw.edu.au/conduct

References

Druckmann, S., Berger, T., Schürmann, F., Hill, S., Markram, H. and Segev, I. (2011). Effective Stimuli for Constructing Reliable Neuron Models. PLoS Computational Biology, 7(8), p.e1002133.

Posmanik, R., Labatut, R., Kim, A., Usack, J., Tester, J. and Angenent, L. (2017). Coupling hydrothermal liquefaction and anaerobic digestion for energy valorization from model biomass feedstocks. Bioresource Technology, 233, pp.134-143.

Qiu, S., Li, Z., He, W., Zhang, L., Yang, C. and Su, C. (2017). Brain–Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot. IEEE Transactions on Fuzzy Systems, 25(1), pp.58-69.

Sutikno, T., Facta, M. and Markadeh, G. (2011). Progress in Artificial Intelligence Techniques: from Brain to Emotion. TELKOMNIKA (Telecommunication Computing Electronics and Control), 9(2), p.201.

Yu, H., Choi, I., Han, K., Choi, J., Chung, G. and Suh, J. (2018). Development of a upper-limb exoskeleton robot for refractory construction. Control Engineering Practice, 72, pp.104-113.

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