MATH10017 Algorithms and Programming in C(++) and R

TL,DR; This unit teaches basic language features of C, R and C++.

Lecturer: Song Liu ([email protected]), Matteo Fasiolo ([email protected])

Teaching Assistants:

• Feng Yu ([email protected])
• Álvaro Gutiérrez Cáceres ([email protected])
• Harsh Patil ([email protected])
• Charles Harris ([email protected])
• Luke Turvey ([email protected])

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Lecture Materials (Download slides to your PC before reading them!)

1. Lecture slides: Foundation

   • How to Install Labpack, Commandline Tips, How to use VSCode on Mac
   • ChatGPT Policy

2. Lecture slides: Functions

   • pre-lab session task
   • Lab Tasks
   • Lab Files, Solution
   • Tutorial, Solution

3. Lecture slides: Flow Control

   • Lab Files, Solution

4. Lecture Slides: Advanced Flow Control

   • Lab Files, Solution
   • Tutorial, Solutions

5. Lecture Slides: Time Complexity, Recursion and Memory Allocation

   • Lab Files, Solution
   • How to see Stack Memory Layout from VSCode

6. Coursework 1

   • CW Files, Solution
   • Tutorial, Solution

7. Lecture Slides: Arrays

   • Lab Files, Solution

8. Lecture Slides: Pointer

   • Lab Files, Solution
   • Tutorial, Tutorial File, Tutorial Solution

9. Lecture Slides: Pointer 2

   • Lab Files, Solution

10. Lecture Slides: Structure and File IOs

    • Lab Files, Solutions
    • Tutorial Tasks, Tutorial Solutions

11. Lecture Slides: CW2 and Revision

    • Lab Task
    • Lab Files, Solutions
    • CW2 files, Reference Solution
    • Example Output

Extra Learning Materials

1. CS50 is Harvard University's introductory course to computer science and the art of programming.
2. The C Programming Language, Brian Kernighan and Dennis Ritchie.
3. Wikibooks: C Programming.
4. COMS10008: Imperative Programming
   1. An excellent unit use to be taught by Dr. Ian Holyer in Computer Science department.
5. C Programming under 4 hours is a youtube video crash course designed for beginners.
6. The Art of R Programming, a good reference book for R programming.
7. Introductory Statistics with R, an introductory book for both statistics and R programming.