Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: CSE407
Module Title: MSc Dissertation Project
Module Level: Level 4
Module Credits: 20.00
Academic Year: 2019/20
Semester: SEM1/SEM2
Originating Department: Computer Science and Software Engineering
Pre-requisites: N/A
This module aims at providing guidance and training in the skills required for computing related research and practical applications. 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 awareness and understanding of the relevant scientific literature associated with their project;

B. Investigate and specify a substantial computing problem and design feasible and timely solutions;

C. Implement, test and critically evaluate the solutions proposed;

D. Effectively communicate project work and main findings through a formal presentation and structured dissertation thesis;

E. Demonstrate a sound understanding of research ethics and an adherence to a relevant code of conduct.

F. Demonstrate effective time management, self-direction and originality in carrying out a project in the domain of computing.

Method of teaching and learning 
This module aims to foster in-depth and independent research and practical applications, within a framework provided through 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 formal meeting with their supervisors in a typical week.

Choosing a Project: By the end of the summer holiday of the first year, students are expected to have a project by their own, by an industry-related company or chosen from a list of projects proposed by CSSE academic staff. Students are encouraged to find their project supervisor during the first year.

Conduct of the MSc project: The project will last for one semester and it is composed of 3 reviews:

• Interim Report (oral presentation + documentation) at around Week 7

• Oral Presentation (which may include software demonstration) at around Week 13

• Dissertation at around Week 15

Each of these reviews is carried out by two members of staff (normally including the supervisor), and give opportunities for monitoring progress and giving formative feedback. The supervisor is available to provide the students with direction and advice needed to complete the project.

Private study: In a typical week, students will be expected to devote at least 40 hours of unsupervised time to private study.

Each student project should have the elements of research and practical applications including design, realisation, testing and critical evaluation of work carried out. Particular topics are determined 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   7  23      570  600 


Sequence Method % of Final Mark
1 Project Design And Presentation 20.00
2 Final Presentation 10.00
3 Thesis 70.00

Module Catalogue generated from SITS CUT-OFF: 8/16/2020 3:40:41 AM