Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: CSE412
Module Title: Dissertation Project for MRes Computer Science
Module Level: Level 4
Module Credits: 40.00
Academic Year: 2020/21
Semester: SEM1
Originating Department: Computer Science and Software Engineering
Pre-requisites: N/A
   
Aims
This module aims to provide guidance and training in the skills required for computing related research. It is also an opportunity for students to carry out a guided but in-depth and independent piece of work on an important computing problem by making appropriate use of skills and methodologies learnt elsewhere in the programme.
Learning outcomes 
A Demonstrate a critical account and in-depth understanding of the literature associated with their project topic;

B Specify a substantial computing problem, and develop an innovative and timely solution to the problem and carry out its evaluation;

C Effectively apply their knowledge and skills in an integrated manner in resolving the specified research problem;

D Show a critical use of research ethics and adhere to a relevant code of conduct;

E Effectively communicate the research using various forms of presentation, including a formal thesis.

Method of teaching and learning 
This module aims to foster in-depth and independent research, within a framework provided by a series of seminars/tutorials and reviews.
Formal tutorials: In order to convey the concepts and methods covered in this module, students will be expected to attend a one hour meeting with his or her supervisors each week during Semester 2 and 3.

Choosing a Project: At the end of Semester 1, students are expected to have identified a project based on their own interests, industry-related company proposals or from a list of projects proposed by CSSE academic staff or a volunteer academic staff.

Conduct of the MRes project: The project will last for 12 months and it is composed of 4 reviews:

• Specification (documentation) at around Week 7 of Semester 2

• Design (oral presentation + documentation) at around Week 14 of Semester 2

• Oral Presentation (which may include software demonstration) at around Week 10 of Semester 3

• Dissertation at around Week 14 of Semester 3.

These reviews are each carried out by two members of staff, and give opportunity for monitoring progress and giving formative feedback. A nominated member of staff is available to students for every week of the project to provide direction and advice as needed.


Private study: In a typical week, students will be expected to devote at least 25 hours of unsupervised time to private study. This private study will increase to over 35 hours per week during Semester 3.

Syllabus 
Each student project should have the elements of research, design, realisation and evaluation. Particular topics are allocated on an individual basis. Examples of topics include (but not limited to) machine learning, computational intelligence, computational finance, robotics, interactive systems, information security.
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester              

Assessment

Sequence Method % of Final Mark
1 Project Specification 10.00
2 Project Design And Presentation 15.00
3 Final Presentation (Online) 10.00
4 Dissertation Thesis (Softcopy) 65.00

Module Catalogue generated from SITS CUT-OFF: 9/19/2020 11:21:14 PM