基于区块链的毕业设计ETH Zürich Computer Science BsC / Data Science MsC Summaries – ETH Zürich计算机科学理学学士/数据科学理学硕士摘要

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ETH Zürich Computer Science BsC / Data Science MsC Summaries

Summaries / Cheat Sheets created during BsC in Computer Science at ETH Zurich (2017 – 2020, semester 1 – 6) and MsC in Data Science (2020 – now).

I take no responsibility for correctness of the documents.

Table of Contents

  • Algorithms and Data Structures (typed summary)
  • Discrete Mathematics (handwritten cheat sheet)
  • Linear Algebra (handwritten cheat sheet)
  • Calculus 1 (typed cheat sheet)
  • Design of Digital Circuits (handwritten cheat sheet)
  • Parallel Programming (typed summary)
  • Calculus 2 (typed cheat sheet)
  • Principles of Macroeconomics (typed summary)
  • Systems Programming and Computer Architecture (typed summary)
  • Computer Networks (typed summary)
  • Data Modelling and Databases (typed summary)
  • Formal Methods and Functional Programming (typed summary)
  • Introduction to Machine Learning (typed cheat sheet)
  • Probability and Statistics (typed cheat sheet)
  • Applied Analysis of Variance and Experimental Design (typed cheat sheet)
  • Financial Market Risks (typed summary)
  • High Performance Computing for Science and Engineering I (handwritten cheat sheet)
  • Information Retrieval (typed summary)
  • Visual Computing (handwritten cheat sheet)
  • High Performance Computing for Science and Engineering 2 (handwritten cheat sheet)
  • Information Theory (typed summary)
  • Rigorous Software Engineering (typed summary)
  • Intellectual Property: An Introduction (typed summary)
  • Advanced Machine Learning (typed cheat sheet)
  • Big Data (typed summary)
  • Data Management Systems (typed summary)
  • Fundamentals of Mathematical Statistics (typed summary)
  • Cloud Computing Architecture (typed summary)
  • Computational Statistics (typed cheat sheet)

Where “cheat sheet” denotes documents that we were allowed to bring to the final exam.


ETH Zürich Computer Science BsC / Data Science MsC Summaries

Summaries / Cheat Sheets created during BsC in Computer Science at ETH Zurich (2017 – 2020, semester 1 – 6) and MsC in Data Science (2020 – now).

I take no responsibility for correctness of the documents.

Table of Contents

  • Algorithms and Data Structures (typed summary)
  • Discrete Mathematics (handwritten cheat sheet)
  • Linear Algebra (handwritten cheat sheet)
  • Calculus 1 (typed cheat sheet)
  • Design of Digital Circuits (handwritten cheat sheet)
  • Parallel Programming (typed summary)
  • Calculus 2 (typed cheat sheet)
  • Principles of Macroeconomics (typed summary)
  • Systems Programming and Computer Architecture (typed summary)
  • Computer Networks (typed summary)
  • Data Modelling and Databases (typed summary)
  • Formal Methods and Functional Programming (typed summary)
  • Introduction to Machine Learning (typed cheat sheet)
  • Probability and Statistics (typed cheat sheet)
  • Applied Analysis of Variance and Experimental Design (typed cheat sheet)
  • Financial Market Risks (typed summary)
  • High Performance Computing for Science and Engineering I (handwritten cheat sheet)
  • Information Retrieval (typed summary)
  • Visual Computing (handwritten cheat sheet)
  • High Performance Computing for Science and Engineering 2 (handwritten cheat sheet)
  • Information Theory (typed summary)
  • Rigorous Software Engineering (typed summary)
  • Intellectual Property: An Introduction (typed summary)
  • Advanced Machine Learning (typed cheat sheet)
  • Big Data (typed summary)
  • Data Management Systems (typed summary)
  • Fundamentals of Mathematical Statistics (typed summary)
  • Cloud Computing Architecture (typed summary)
  • Computational Statistics (typed cheat sheet)

Where “cheat sheet” denotes documents that we were allowed to bring to the final exam.

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