Guideline for Presentation

What you should do in Master/Doctoral Program in Data Science

1. The advisor(Professor) assigns one or two papers to students for presentation preparation

2. Each student selects one paper out of recommended papers and read it throughly

3. Every other week (Twice a week) students present review paper in PowerPoint format of 20 slides or so.

4. Students upload their presentation on Google Classroom just before the presentation day so that other students can see it

Semester Project

1. Each student discuss his/her topic of interest with your advisor to decide the subject of semester project

2. Every student does literature and datasets search for the project preparation

3. Student write up semester project in MS word format including the project outline as follows:

   • Introduction

   • Literature and related dataset search

   • Machine Learning Model Selection and Training

   • Model Evaluation and Validation

   • Economic Insights and Applications

   • Conclusion

4. Include References at the end of the project report : for example,

• Books and Book Chapters:

  • Mitchell, Melanie. "Artificial Intelligence: A Guide for Thinking Humans."Farrar, Straus and Giroux, 2019

• Journal Articles:

  • LeCun, Yann, Bengio, Yoshua, and Hinton, Geoffrey. "Deep Learning."Nature, vol. 521, no. 7553, 2015, pp. 436-444

• Conference Proceedings:

  • Ren, Shaoqing, et al. "Faster R-CNN: Towards Real-Time Object Detectionwith Region Proposal Networks." Advances in Neural InformationProcessing Systems, 2015, pp. 91-99.

• Reports and Technical Papers:

  • ntergovernmental Panel on Climate Change (IPCC). "Climate Change 2021:The Physical Science Basis." Cambridge University Press, 2021.

• Websites and Online Resources:

  • MIT Technology Review. "The Power of AI in Medicine." Available at:

    • https:/technolgyreview.com

• Case Studies and Real-World Applications:

  • IBM Watson. "AI in Oncology: Personalized Cancer Treatment Plans."Available at: https://www.ibm.com/watson/health/oncology/

• Interdisciplinary Collaboration and Workshops:

  • The Alan Turing Institute. "Workshops on AI and Phenomenology."Available at: https://www.turing.ac.uk/24.

• Educational Programs and Training:

  • Massachusetts Institute of Technology (MIT). "AI and PhenomenologyGraduate Program." Available at: https://www.mit.edu/