Dr Anne Hsu

Teaching

Information System Analysis (Undergraduate)

The course locates the design methods and the development of computer systems in the wider context of the use of information technology and its impact upon organisations. The topics covered are: What are Information Systems and requirements. Why is analysis needed. Systems theory and types of information systems; their relationship with organisational processes and structures. Stakeholders. Requirements analysis and project failures Elicitation of Requirements. Techniques for eliciting requirements; user participation. Impact on project success. Object-Oriented Analysis Techniques. UML notation, including use cases and class diagrams. Overview of the software development processes. Soft Systems Methodology. Introduction to SSM and the limitation of conventional systems analysis.

Introduction to Software Engineering (Postgraduate)

The main focus of this module is software engineering and systems analysis. Students will learn about system complexity and the special challenges of building software systems. They will learn how to analyse system and software requirements, produce object-oriented designs, and learn the principles of how to plan, manage and test systems. Content covers: Systems Analysis Requirements capture and analysis Use cases; UML for use-cases Object oriented design; UML for class diagrams Project management Software lifecycle Quality assurance and testing

Research

Research Interests:

Publications

• Bhattacharjee A, Chen P, Mandal A et al. (publicationYear). Exploring User Perspectives on Brief Reflective Questioning Activities for Stress Management: Mixed Methods Study.. nameOfConference

  
  

  DOI: 10.2196/47360

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93060
• Thaventhiran T, Orr J, Morris JK et al. (2023). A Digital Health Solution for Child Growth Monitoring at Home: Testing the Accuracy of a Novel “GrowthMonitor” Smartphone Application to Detect Abnormal Height and Body Mass Indices. nameOfConference

  
  

  DOI: 10.1016/j.mcpdig.2023.08.001

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/93058
• Hsu A, Chaudhary D (2023). AI4PCR: Artificial intelligence for practicing conflict resolution. nameOfConference

  
  

  DOI: 10.1016/j.chbah.2023.100002

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/86232
• Céspedes N, Hsu A, Jones JM et al. (2022). A Feasibility Study of a Data-Driven Human-Robot Conversational Interface for Reminiscence Therapy. 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

  
  

  DOI: 10.1109/humanoids53995.2022.10000119

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/86233
• Thaventhiran T, Harding V, Hsu A et al. (2023). Development and testing of a novel 'GrowthMonitor' Smartphone App for growth monitoring and the detection of growth disorders. nameOfConference

  
  

  DOI: 10.1530/endoabs.77.lb15

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/91298
• Wilde N, Hsu A (2019). The feasibility of a student-centred approach to the presentation of vicarious experience information within online learning. nameOfConference

  
  

  DOI: 10.2478/rem-2019-0017

  
  

  QMRO: qmroHref
• Wilde N, Hsu A (2019). The influence of general self-efficacy on the interpretation of vicarious experience information within online learning. nameOfConference

  
  

  DOI: 10.1186/s41239-019-0158-x

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/61308
• Krusche A, Jack CD, Blunt C et al. (2020). Mindfulness-Based Organisational Education: an Evaluation of a Mindfulness Course Delivered to Employees at the Royal Orthopaedic Hospital. nameOfConference

  
  

  DOI: 10.1007/s12671-019-01121-x

  
  

  QMRO: qmroHref
• HSU A, Martin J, Sanborn A et al. (2019). Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. nameOfConference

  
  

  DOI: 10.3758/s13428-019-01201-9

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58119
• Dewitt SH, Hsu A, Lagnado D et al. (2019). Nested Sets and Natural Frequencies. nameOfConference

  
  

  DOI: doi

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58140
• Silina Y, Hsu A (publicationYear). Infusing Meaning into Social Wearables: Lessons from Sentimental Jewelry. nameOfConference

  
  

  DOI: 10.14236/ewic/hci2018.72

  
  

  QMRO: qmroHref
• Silina Y, Apetroaia A, Hsu A (publicationYear). Love Is All You Need: User Preferences of Strategies for Mediating Intimate Relationships Through Technology. nameOfConference

  
  

  DOI: 10.14236/ewic/hci2018.28

  
  

  QMRO: qmroHref
• Griffiths TL, Abbott J, HSU A (2016). Exploring human cognition using large image databases. nameOfConference

  
  

  DOI: 10.1111/tops.12209

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/15004
• HSU A, Griffiths TL (2016). Sampling Assumptions Affect Use of Indirect Negative Evidence in Language Learning. nameOfConference

  
  

  DOI: 10.1371/journal.pone.0156597

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/13050
• Williams JJ, Lombrozo T, Hsu A et al. (2016). Revising Learner Misconceptions Without Feedback. nameOfConference

  
  

  DOI: 10.1145/2858036.2858361

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/11071
• Hsu AS, Horng A, Griffiths TL et al. (2017). When Absence of Evidence Is Evidence of Absence: Rational Inferences From Absent Data. nameOfConference

  
  

  DOI: 10.1111/cogs.12356

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/11070
• Harris AJL, Hahn U, Madsen JK et al. (2016). The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach. nameOfConference

  
  

  DOI: 10.1111/cogs.12276

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/10842
• Fenton N, Lagnado D, Hsu A et al. (2014). Response to “On the use of the likelihood ratio for forensic evaluation: Response to Fenton et al.”. nameOfConference

  
  

  DOI: 10.1016/j.scijus.2014.05.005

  
  

  QMRO: qmroHref
• Hsu A, Blandford A (2014). Designing for psychological change: individuals' reward and cost valuations in weight management.. nameOfConference

  
  

  DOI: 10.2196/jmir.3009

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/9240
• Hsu A, Yang J, Yilmaz YH et al. (2014). Persuasive technology for overcoming food cravings and improving snack choices. nameOfConference

  
  

  DOI: 10.1145/2556288.2557099

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/11937
• Hsu AS, Vlaev I (2014). Monetary cost for time spent in everyday physical activities. nameOfConference

  
  

  DOI: 10.1016/j.socscimed.2014.02.043

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/10843
• Fenton NE, Neil M, Hsu A (2013). Calculating and understanding the value of any type of match evidence when there are potential testing errors. nameOfConference

  
  

  DOI: 10.1007/s10506-013-9147-x

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/7249
• Fenton NE, Berger D, Lagnado DA et al. (2013). When ‘neutral’ evidence still has probative value (with implications from the Barry George Case). nameOfConference

  
  

  DOI: 10.1016/j.scijus.2013.07.002

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/7866
• Harris AJL, Hsu AS, Madsen JK (2012). Because Hitler did it! Quantitative tests of Bayesian argumentation using ad hominem. nameOfConference

  
  

  DOI: 10.1080/13546783.2012.670753

  
  

  QMRO: qmroHref
• Hsu AS, Martin JB, Sanborn AN et al. (2012). Identifying representations of categories of discrete items using Markov chain Monte Carlo with People. nameOfConference

  
  

  DOI: doi

  
  

  QMRO: qmroHref
• HSU A, Chater N, Vitanyi P (2011). The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis. nameOfConference

  
  

  DOI: 10.1016/j.cognition.2011.02.013

  
  

  QMRO: qmroHref
• HSU A, Griffiths T, Schreiber E (2010). Subjective randomness and natural scene statistics. nameOfConference

  
  

  DOI: 10.3758/PBR.17.5.624

  
  

  QMRO: qmroHref
• HSU A, Chater N (2010). The logical problem of language acquisition goes probabilistic: No negative evidence as a window on language acquisition.. nameOfConference

  
  

  DOI: 10.1111/j.1551-6709.2010.01117.x

  
  

  QMRO: qmroHref
• HSU A, Griffiths T (2009). Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning. Neural Information Processing Systems

  
  

  DOI: doi

  
  

  QMRO: qmroHref