<h1 style="text-align: center;">MATH3092 UoS
2021-2022</h1>
===

<h2 style="text-align: center;">Statistical-Learning Research Group Book</h2>
===

:::info
This book is for your MATH3092 research projects throughout this academic year. We will include links to the meeting minutes and your research notes.

The research notes are used to keep a record of all your research activities such as reading, coding and random thoughts. You can write them down and link to this group book using [HackMD](https://hackmd.io/) (a collaborative Markdown editor). Here is a [Short Tutorial](https://hackmd.io/c/tutorials/%2Fs%2Ftutorials). You can also find a cheatsheet of frequent commands by clicking on the help button (questionmark icon) on the top left of your edit window.

You are expected to commit approximately 40 hours of work each week to achieve the learning outcomes of MATH3092.
:::

**Group Members**：
Tabitha Lennox (<[e-mail]>)
Quentin Evason (<[e-mail]>)
Tridham Manjunath (<[e-mail]>)
Yuhao Wang (<[e-mail]>)

**Lead by**:
Dr. Chao Zheng (<[e-mail]>)

Arrangement for Semester 2
---

**<font color="#f00">Compulsory</font>** biweekly meeting on <font color="#f00">Tuesday 14:00-16:00</font>, starting from 1st February 2022, in following types:
- <font color="#7733FF">++group meeting++ </font>(report your progress in 15-20 minutes), *Location: 5001/B54*
- <font color="#FC33FF">++individual discussion meeting++ </font>(research supervision meeting)，*Location: 9001/B54 or Online*

<font color="#3ABF78">**Optional** ++drop-in session++ </font> every other week on the Tuesday 14:00-16:00, starting from 8th February 2022 (providing more opportunities for discussing and asking questions), *Location: 9001/B54 or Online*.

See the table below for a detailed version:
| Date | Meeting type | Date | Meeting type |
| -------- | -------- | -------- | -------- |
| Feb 01 | [group meeting](https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmMwMDU3NWYtN2MyYy00OWU5LTk0MmYtYmU3OWRkYjQ2YmQz%40thread.v2/0?context=%7b%22Tid%22%3a%224a5378f9-29f4-4d3e-be89-669d03ada9d8%22%2c%22Oid%22%3a%22758cc7d0-3e91-4fd7-aef9-8931e7112dfb%22%7d) | Feb 08 | optional drop-in |
| Feb 15 | individual discussion | Feb 22 |optional drop-in
| Mar 01 | [group meeting](https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmMwMDU3NWYtN2MyYy00OWU5LTk0MmYtYmU3OWRkYjQ2YmQz%40thread.v2/0?context=%7b%22Tid%22%3a%224a5378f9-29f4-4d3e-be89-669d03ada9d8%22%2c%22Oid%22%3a%22758cc7d0-3e91-4fd7-aef9-8931e7112dfb%22%7d) | Mar 08 | optional drop-in
| Mar 15 | individual discussion | Mar 22| optional drop-in
| Apr 26 | [group meeting](https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmMwMDU3NWYtN2MyYy00OWU5LTk0MmYtYmU3OWRkYjQ2YmQz%40thread.v2/0?context=%7b%22Tid%22%3a%224a5378f9-29f4-4d3e-be89-669d03ada9d8%22%2c%22Oid%22%3a%22758cc7d0-3e91-4fd7-aef9-8931e7112dfb%22%7d) | May 03 | optional drop-in
| May 10 | individual discussion |

Meeting Minutes
---
**Semester 1**：
* [Meeting 1 (25/11/2021) Introduction to the project and timeline](https://hackmd.io/@uos-math3092-statlearning/SkoJ1m8YF)
* [Meeting 2 (02/12/2021) Individual discussion (topics of your project)](https://hackmd.io/@uos-math3092-statlearning/HJvu1QItK)
* [Meeting 3 (16/12/2021) Presentation: Density-based clustering via kernel diffusion](https://hackmd.io/@uos-math3092-statlearning/HJahsou5K)
* [Meeting 4 (13/01/2022) Individual discussion](https://hackmd.io/@uos-math3092-statlearning/ryotPNh2Y)

Assessment Information
---

### 1. End-of-S1 Assessment <font color="#FFBD33">(Deadline: 13 January 2022)</h5></font>

You will need to submit:
- ==Preliminary Outline Report==
- ==Single Still Slide==

++**Some Details** (from Prof. Peter Kropholler): At the end of semester 1 an outline report of 4 to 5 pages is considered appropriate but there are no strict upper and lower page limits. The slide upload on 13 January is intended to focus the mind on the presentation: the slide used at the presentation itself may be modified or just different from the one uploaded for this assignment. *This end-of-semester 1-assessment counts 20% towards the module as a whole*.++

**[Three Minutes Presentation](https://teams.microsoft.com/l/meetup-join/19%3ameeting_NjFkMDkwMjktNTU0NS00YmU1LWI1YWEtYjQyZTU4NTMyODQ3%40thread.v2/0?context=%7b%22Tid%22%3a%224a5378f9-29f4-4d3e-be89-669d03ada9d8%22%2c%22Oid%22%3a%22758cc7d0-3e91-4fd7-aef9-8931e7112dfb%22%7d)** <font color="#f00">(14:00-15:00, 28th January 2022)</font>: You will present your mid-term project to me and the second assessor (Prof. Zudi Lu) in 3 minutes with a single page slide, followed by a short Q&A. You will be called at the following time:

| Tridham | Yuhao | Tabitha | Quentin |
| -------- | -------- | -------- | -------- |
| 14:00 | 14:10 | 14:20 | 14:30 |

<font color="#f00">Please make sure you are available on MS Teams 5 minutes before your session.</font>

Research Notes
---

#### Machine Learning for a Music Recommendation System (Tridham)

#### Predict Used Car Price Using Machine Learning Methods (Yuhao)

#### Principal Component Analysis and Extensions (Tabitha)

#### Predicting Music Popularity (Quentin)