NMBU, DAT121: Introduction to data science (August 2023)

August block, lecture days from 14th August to 1st September 2023 (on all working days except 16th and 30th August). A typical lecture days' structure looks as follows:

• Discussion of the previous day's work: 9.15 - 10.00
• Lecture and problem solving: 10.15 - 12.00
• Project work and tutorial: 13.15 - 15.00

The rooms TF1-201 and TF1-212 are reserved for the whole duration of the module.

Instructor: Martin Thomas Horsch (office: TF2-303A)
Teaching assistant: Mahrin Tasfe

Information:

• DAT121 page on Canvas
• Module structure/syllabus
• NMBU course catalogue entry in English and in Norwegian bokmål

Recommended literature:

• W. McKinney, Python for Data Analysis, 3rd edn., O'Reilly (ISBN 978-1-09810403-0), 2022.
• A. Silberschatz, H. F. Korth, S. Sudarshan, Database System Concepts, 7th edn. (international student edn.), McGraw-Hill Education (ISBN 978-1-26008450-4), 2019.

Material:

• The glossary document keeps track of our work toward agreed definitions of selected key concepts.
• See the list of code examples for some of the material discussed in the lectures.

Structure:

1. Python basics
   • Schedule (14th and 15th August 2023)
   • Slides from the joint intro with IMRT100, first lecture slides, second lecture slides, lab worksheet
   • Textbook: McKinney (2019), Chapters 2 (basics), 3 (built-in data structures), and 4 (numpy)
   • Documentation and tools:
     • Study plan for the two-year Master in Data Science at NMBU
     • How to set up Jupyter Notebook
     • Python Software Foundation, Python Tutorial, 2023, until about Chapter 5
   • Literature:
     • S. Cass, "Top programming languages 2022," IEEE Spectrum, 2022
     • Kunnskapsdepartementet, Kultur- og likestillingsdepartementet, "Frå ord til handling: Handlingsplan for norsk fagspråk i akademia," 2023
     • O. Tomic, T. Graff, K. H. Liland, T. Næs, "hoggorm: A Python library for explorative multivariate statistics," J. Open Source Softw. 4(39): 980, doi:10.21105/joss.00980, 2019
   • Register for membership in Data Science's linjeforening (students' union)
2. Data and objects
   • Schedule (17th and 18th August 2023)
   • First lecture slides, second lecture slides, lab worksheet
   • Textbook: Silberschatz et al. (2019), Sections 6.2 (E-R model), 6.4 (cardinalities), 6.7 (reducing E-R to relational schemas), 6.10 (notations for modelling data), and 8.1 (semi-structured data)
   • Documentation and tools:
     • Python Tutorial, Chapter 9 (classes)
     • Environments for validating JSON-LD annotation: JSON-LD Playground, Schema Markup Validator, Rich Results Test
     • Protégé tool for OWL
3. Regression basics
   • Schedule (21st to 24th August 2023)
   • First lecture slides, second lecture slides, lab worksheet
   • Textbook: McKinney (2019), Chapters 9 (plotting and visualization), 10 (data aggregation), and 11 (time series)
   • Documentation and tools:
     • statsmodels library
   • Literature:
     • H. Flyvbjerg, H. G. Petersen, "Error estimates on averages of correlated data," J. Chem. Phys. 91(1): 461-466, doi:10.1063/1.457480, 1989
     • J. Mayer, K. Khairy, J. Howard, "Drawing an elephant with four complex parameters," Am. J. Phys. 78(6): 648-649, doi:10.1119/1.3254017, 2010
     • T. Vigen: Spurious correlations
4. Good practice (and bad practice)
   • Schedule (25th August 2023)
   • Lecture slides, lab worksheet
   • Literature:
     • C. Bezerra, F. Santana, F. Freitas, "CQChecker: A tool to check ontologies in OWL-DL using competency questions written in controlled natural language," Learning and Nonlinear Models 12(2): 115-129, doi:10.21528/lnlm-vol12-no2-art4, 2014
     • M. Gruninger, M. S. Fox, "The role of competency questions in enterprise engineering," in A. Rolstadås, Benchmarking: Theory and Practice, pp. 22-31, doi:10.1007/978-0-387-34847-6_3, 1995
     • C. M. Keet, An Introduction to Ontology Engineering, 2020, Chapters 6 (top-down ontology development) and 7 (bottom-up ontology development)
     • H. E. Plesser, "Reproducibility vs. replicability: A brief history of a confused terminology," Frontiers Neuroinform. 11: 76, doi:10.3389/fninf.2017.00076, 2018
   • Norwegian Reproducibility Network
5. Multidimensionality
• Schedule (28th and 29th August 2023)
• First lecture slides, second lecture slides, lab worksheet
6. Student presentations

License:

Any code examples from this module are released by NMBU REALTEK's Institutt for datavitskap under the conditions of the Creative Commons BY-NC-SA 4.0 License (attribution, non-commercial, share-alike).

Index