Syllabus

Books

Do not buy these books if you do not have them from an undergraduate course, but borrow them from fellow students or the library.

Ramez Elmasri, Shamkant B. Navathe: Fundamentals of Database Systems, 2007. Addison Wesley. ISBN: 0-321-41506-X. 5th edition (or newer edition).

Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom: Database systems: The complete book, 2008. Prentice Hall. ISBN: 0-13-135428-0. 2nd edition.

M. Tamer Özsu, Patrick Valduriez: Principles of Distributed Database Systems, 2020. Springer. ISBN: 978-3-030-26253-2. 4th edition.

Background Material

This is reading material for those of you with little or no previous database knowledge.

Recommended Reading

• Elmasri/Navathe, Fundamentals of Database Systems ‐ Introduction to Transaction Processing Concepts and Theory
• Elmasri/Navathe, Fundamentals of Database Systems ‐ Concurrency Control Techniques
• Garcia-Molina/Widom/Ullman, Database systems: The complete book ‐ Information Integration
• Garcia-Molina/Widom/Ullman, Database systems: The complete book ‐ More About Transaction Management

Introduction & Big Data Challenges

Mandatory Reading

• Intro Slides
• The Cambridge Report on Database Research, A Ailamaki, S Madden, D Abadi, G Alonso, S Amer-Yahia, M Balazinska, PA Bernstein…, April 2025, arXiv preprint arXiv:2504.11259
• Abadi, D., et al.: The Seattle Report on Database Research, Communications of the ACM, August 2022, Vol. 65, No. 8, pp. 72-79
• Abadi, D., et al.: The Beckman Report on Database Research, Communications of the ACM, February 2016, Vol. 59, No. 2, pp. 92-99
• Hueske, F., Kalavri, V.: Stream Processing with Apache Flink, O´Reilly, 2019, Chapter 1

Recommended Reading

• Jay Kreps: The Log: What every software engineer should know about real-time data's unifying abstraction, posted on 12/16/2013, https://www.linkedin.com/blog/engineering/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying

Data Stream Processing (part 1 & 2)

Mandatory Reading

• Data Stream Processing Slides
• Hueske, F., Kalavri, V.: Stream Processing with Apache Flink, O´Reilly, 2019
  Chapter 1, 2, and 3
• Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Jennifer Widom: Models and issues in data stream systems, 2002. ACM. ACM Digital Library.
• Lukasz Golab, M. Tamer Özsu: Issues in data stream management, 2003. ACM. ACM Digital Library.

Distributed Database Systems

Mandatory Reading

• Distributed DBS Slides
• M. Tamer Özsu, Patrick Valduriez: Principles of Distributed Database Systems, 2020. Springer. ISBN: 978-3-030-26253-2. 4th edition.
  Chapter 1 Introduction
  parts of Chapter 2, 5, and 6

Database Integration - Multi-DBS

Mandatory Reading

• DB Integration & Multi-DBS Slides
• M. Tamer Özsu, Patrick Valduriez: Principles of Distributed Database Systems, 2020. Springer. ISBN: 978-3-030-26253-2. 4th edition.
  Chapter 7  Database Integration - Multi-DBS

Web Data Management and XML Databases

Mandatory Reading

• Web Data Management Slides
• M. Tamer Özsu, Patrick Valduriez: Principles of Distributed Database Systems, 2020. Springer. ISBN: 978-3-030-26253-2. 4th edition.
  Chapter 12 Web Data Management

Data Management for Data Analysis & Data Warehouses

Mandatory Reading

• DM for Analysis & Data Warehouses Slides

• [Chai et al. 2023] Chai, Chengliang; Wang, Jiayi; Luo, YuYu; Niu, Zeping; Li, Guoliang: Data Management for Machine Learning: A Survey, IEEE Transactions on Knowledge and Data Engineering, Volume 35, Number 5, May 2023, pp. 4646-4667

• Elmasri/Navathe, Fundamentals of Database Systems ‐ Overview of Data Warehousing and OLAP
• Elmasri/Navathe, Fundamentals of Database Systems ‐ Data Mining Concepts
• Garcia-Molina/Widom/Ullman, Database systems: The complete book ‐ Data Mining

Recommended Reading

• The two books stated in the slides for all the basic terminologies: Python Machine Learning, 2nd/3rd Edition by Sebastian Raschka & Deep learning with Python by François Chollet
• Kleppe A, Skrede OJ, De Raedt S, Liestøl K, Kerr DJ, Danielsen HE. Designing deep learning studies in cancer diagnostics. Nat Rev Cancer. 2021 Mar;21(3):199-211. doi: 10.1038/s41568-020-00327-9. Epub 2021 Jan 29. PMID: 33514930. (Full-text should be available in UiO library https://www-nature-com.ezproxy.universitetetioslo.no/articles/s41568-020-00327-9.pdf)
• Chowdhury et al., "Can AI Help in Screening Viral and COVID-19 Pneumonia?," in IEEE Access, vol. 8, pp. 132665-132676, 2020, doi: 10.1109/ACCESS.2020.3010287. (https://ieeexplore.ieee.org/document/9144185)
• Moe, Y.M., Groendahl, A.R., Tomic, O., Dale, E., Malinen, E. and Futsaether, C.M., 2021. Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients. European journal of nuclear medicine and molecular imaging, 48(9), pp.2782-2792. (https://link.springer.com/article/10.1007/s00259-020-05125-x)

Scalable and Cloud Data Management

Mandatory Reading

• Scalable & Cloud DM Slides
• M. Tamer Özsu, Patrick Valduriez: Principles of Distributed Database Systems, 2020. Springer. ISBN: 978-3-030-26253-2. 4th edition.
  Chapter 11 NoSQL, NewSQL, PolyStores
  Chapter 10 Big Data Processing, pp. 449-456
• E. B. Ouedraogoet al., "Digital Twin Data Management: A Comprehensive Review," inIEEE Transactions on Big Data, vol. 11, no. 5, pp. 2224-2243, Oct. 2025, doi: 10.1109/TBDATA.2025.3533891.
  https://ieeexplore.ieee.org/abstract/document/10854807?casa_token=6jLKXcDK2fIAAAAA:dT1nBhK10bNrcSHHt7_gZ34Wa7IIKtCRFqAt7kWJd5PpSVEqeD1veBGnpkEtt0D_o8RNjTo9Cw

Large DBS and Performance Analysis

Mandatory Reading

• Slides
• Elmasri/Navathe, Fundamentals of Database Systems ‐ Algorithms for Query Processing and Optimization
• Elmasri/Navathe, Fundamentals of Database Systems - Intro. to DB Tuning and Phys. Design Issues