NUS Computer Science Notes & Cheatsheets

By Hanming Zhu (2019-2023)

These are some notes and cheatsheets written by me during the course of my time in NUS Computer Science. The notes are meant to be used as revision materials or even replacements for lecture notes.

These notes/cheatsheets include information from, but not limited to:

• Lecture Notes
• Tutorials, Assignments and Past Year Papers
• Textbooks
• Online resources (Relevant sites, Udemy courses)

Contents (In Chronological Order)

• CS2030 - Programming Methodology II (Taken in AY18/19 Special Term II)
• CS2040 - Data Structures and Algorithms (Taken in AY18/19 Special Term II)
• CS2107 - Introduction to Information Security (Taken in AY19/20 Semester 1)
• MA1101R - Linear Algebra I (Taken in AY19/20 Semester 2)
• GER1000 - Quantitative Reasoning (Taken in AY19/20 Semester2)
• CS2105 - Introduction to Computer Networks (Taken in AY20/21 Semester 1)
• CS2106 - Introduction to Operating Systems (Taken in AY20/21 Semester 1)
• ST2334 - Probability and Statistics (Taken in AY20/21 Semester 1)
• CS2102 - Database Systems (Taken in AY20/21 Semester 2)
• CS3219 - Software Engineering Principles and Patterns (Taken in AY21/22 Semester 1)
• CS2109S - Introduction to AI and Machine Learning (Taken in AY21/22 Semester 2)

CS2030 - Programming Methodology II (Notes)

Taught by Mr Adi Sidi Yoga Prabawa, AY18/19 Special Term II

 

Concepts Covered

• Object Oriented Programming
• Streams and Functional Programming

CS2040 - Data Structures and Algorithms (Notes)

Taught by Dr Chong Ket Fah, AY18/19 Special Term II

       

       

   

Concepts Covered

• Introduction
  • Algorithms
  • Big-O Notation
• Data Structures
  • Arrays
  • Linked Lists
  • Stacks
  • Queues
  • Hash Maps
  • Sets (UFDS)
  • Ordered Maps
  • Graphs
• Algorithms
  • Searching
  • Sorting
  • BFS/DFS
  • Prim's/Kruskal's
  • Bellman Ford's
  • Dijkstra's (Original/Modified)
  • Floyd-Warshall

CS2107 - Introduction to Information Security (Notes)

Taught by Dr Sufatrio, AY19/20 Semester 1

       

       

Concepts Covered

• Security Requirements
• Key Concepts of Principal Protection Mechanisms
  • Cryptography and Encryption
  • Authentication
  • Access Control
• Public Key Infrastructure and Certificate Authority
• Network Security
• Software Security
• Web Security

MA1101R - Linear Algebra I (Cheatsheets)

Taught by Prof Raghavan Dilip, AY19/20 Semester 2

^{Midterms cheatsheet contains content from Chapter 1.1 to 2.5}

Concepts Covered

• Linear Systems and Gaussian Elimination
• Matrices
• Vector Spaces
• Vector Spaces Associated with Matrices
• Orthogonality
• Diagonalization
• Linear Transformations

GER1000 - Quantitative Reasoning (Notes)

Headed by Prof Yap Von Bing, AY19/20 Semester 2

^{Website version of the notes can also be accessed here on Notion.}

Concepts Covered

• QR Framework
• Design of Studies
• Association
• Sampling
• Observational Studies
• Uncertainty

CS2105 - Introduction to Computer Networks (Cheatsheets)

Taught by Dr Zhou Lifeng and Prof Roger Zimmermann, AY20/21 Semester 1

Concepts Covered

• Application Layer
• Transport Layer
• Network Layer
• Link Layer
• Multimedia Networking
• Network Security
• Physical Layer

CS2106 - Introduction to Operating Systems (Cheatsheets)

Taught by Dr Cristina Carbunaru, AY20/21 Semester 1

Concepts Covered

• Introduction to OS
• Process Abstraction
• Process Scheduling
• Inter-Process Communication
• Threads
• Synchronisation
• Memory Abstraction
• Disjoint Memory
• Virtual Memory
• File System Abstraction
• File System Implementation

ST2334 - Probability and Statistics (Notes)

Taught by Prof Lim Chinghway, AY20/21 Semester 1

If you view the PDF on GitHub, a lot of the Latex will appear to be missing! Either download the PDF or view it on Notion instead.

^{Website version of the notes can also be accessed here on Notion.}

Concepts Covered

• Basic Concepts of Probability
• Concepts of Random Variables
• Two Dimensional Random Variables and Conditional Probability Distributions
• Special Probability Distributions
• Sampling and Sampling Distributions
• Estimation Based on Normal Distribution
• Hypotheses Testing Based on Normal Distribution

CS2102 - Database Systems (Cheatsheets)

Taught by Dr Chan Chee Yong and Prof Xiao Xiaokui, AY20/21 Semester 2

^{Midterms cheatsheet contains content on Relational Algebra, SQL and Entity-Relationship Model.}

^{Finals Cheatsheet}

Concepts Covered

• Introduction to DBMS
• Relational Algebra
• SQL
• Entity-Relationship Model
• Statement-Level & Call-Level Interfaces
• SQL/Persistent Stored Modules - PL/pgSQL
  • Functions & Procedures
  • Triggers
• SQL Injection Attacks
• Normal Forms
  • Functional Dependencies
  • BCNF & 3NF

CS3219 - Software Engineering Principles and Patterns (Cheatsheets)

Taught by Dr Bimlesh Wadhwa, AY21/22 Semester 1

^{Strongly advised to read through design patterns on Refactoring Guru before using this cheatsheet.}

Concepts Covered

• Software Development Process
• Specifying Software Requirements
• Software Architecture Styles
• Software Architecture Patterns
  • Hexagonal Architecture
  • Domain Driven Design
• Microservices
• Kubernetes
• Message Design Patterns
  • Technologies
• Object Interaction Design Patterns

CS2109S - Introduction to AI and Machine Learning (Cheatsheets)

Taught by Dr Ben Leong, AY21/22 Semester 2

^{Midterms cheatsheet contains content on Search Algorithms and part of Machine Learning.}

^{Finals Cheatsheet}

^{Be warned that these cheatsheets may not be very applicable, as Prof Ben is known for testing practical applications and understanding over content knowledge and memorisation.}

Concepts Covered

• Uninformed and Informed Search
• Heuristics
• Adversarial Search
• Decision Trees
• Linear Regression and Gradient Descent
• Polynomial Regression
• Logistic Regression
• Model Selection
• Regularisation
• Support Vector Machines
• Multi-Layer Neural Networks
• Deep Neural Networks
• Clustering and Unsupervised Learning
• AI Ethics