Year 3 - Modules

A list of all the different modules I am taking during my third year.

Year 3 is 2/3 of the final grade!

var a = moment('2023-09-18');
var b = moment('2024-06-18');

var n = moment()
var t = moment().startOf('day');

let q =  b.diff(a, 'days');
let p =  b.diff(t, 'days');
let r =  t.diff(a, 'days');

let h = n.diff(a, 'hours');
let i = b.diff(a, 'hours');

let html = `**UNI YEAR**         <progress style="height:10px;width:20%" value="`+h+`" max="`+i+`"></progress>`

if (r>0 && r<q) {
	html +=  `    ** ` +(h/i*100).toFixed(0)+`%** | `
	html +=  +p+` days remaining, `+ (p/7).toFixed(1)+ ` weeks remaining`
} else if (r==0) {
	html += `    **YEAR : ` +(h/i*100).toFixed(0)+`%** | `+ p + ` days remaining`
} else if (r==q) {
	html += `   Ends today`
} else if (r>q) {
	html += `   Ended `+-p+` days ago`
}else {
	html +=  `   `+-r+` days remaining`
}
dv.paragraph(html)

TABLE dateformat(file.mtime, "dd.MM.yyyy - HH:mm") AS "Last modified"
FROM ""
WHERE year = "3"
SORT file.mtime DESC
LIMIT 5

STUDY PLAN §

CS3072 - Final Year Project §

Lecturer: Fang Wang

• 👨‍👩‍👦 Supervisor
• 👥 Meetings
  • 2023-09-28 - First Meeting
  • 2023-10-05 - Second Meeting
• 📚 Reading list
  • Sources
• ❗Assessments
  • 10)
• Notes
  • Rust Borrowing Mechanism
  • Design Document
  • Sample Questions
    • Participant Information Sheet
• Quiz

CS3001 - Advanced Topics §

Lecturer:

• 💻 Course structure.
• 📚 Reading list
• ❗Assessments

CS3003 - Software Engineering §

Lecturer: Steve Counsell and Dr Giuseppe Destefanis.

• 💻 Course structure.
  • Programme.
• 📚 Reading list
  • Ian Sommerville - Software Engineering, 10th Edition-Pearson (2016).
• ❗Assessments
  • Deadlines:
    • Software metrics analysis: 05/12.

CS3004 - Network Computing §

Lecturer: Simon J E Taylor

• 💻 Course structure.
  • Programme
• 📝 Lecture (Not following the programme?)
  • Network Computing Introduction
  • Design and Implementation I
  • Design and Implementation II
  • Threads
• 📚 Reading list
• ❗Assessments
  • Coursework
  • Deadlines:
    • Assignment: 01/12.

CS3002 - Artificial Intelligence §

Lecturer: Allan Tucker

• 💻 Course structure.
  • Programme
• 📚 Reading list
  • Principles of Data Mining (MIT 2001)
  • Michael Negnevitsky - Artificial Intelligence: A Guide to Intelligent Systems 3rd Edition
• ❗Assessments
  • Deadlines:
    • Lab 1 & 2: 06/11.
    • Lab 3 & 4: 27/11.
• 📈 Extra Reading
  • Unsupervised Learning in R

Vault Info §

• 〽️ Stats
  • File Count: $=dv.pages().length