CE101-4-FY-CO:
Team Project Challenge

The details
2022/23
Computer Science and Electronic Engineering (School of)
Colchester Campus
Full Year
Undergraduate: Level 4
Current
Thursday 06 October 2022
Friday 30 June 2023
15
31 March 2021

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

BSC G610 Computer Games,
BSC G612 Computer Games (Including Year Abroad),
BSC G620 Computer Games (Including Foundation Year),
BSC I610 Computer Games (Including Placement Year),
BENGG420 Computer Networks,
BENGG421 Computer Networks (Including Year Abroad),
BENGG520 Computer Networks (Including Foundation Year),
BENGI120 Computer Networks (Including Placement Year),
BSC G400 Computer Science,
BSC G401 Computer Science (Including Year Abroad),
BSC G403 Computer Science (Including Foundation Year),
BSC I101 Computer Science (Including Placement Year),
MSCIG402 Computer Science,
MSCII100 Computer Science (Integrated Masters, Including Placement Year),
BENGH650 Computer Systems Engineering,
BENGH651 Computer Systems Engineering (Including Year Abroad),
BENGH750 Computer Systems Engineering (Including Foundation Year),
BENGHP50 Computer Systems Engineering (Including Placement Year),
BENGGH46 Computers with Electronics (Including Foundation Year),
BENGGH4P Computers with Electronics,
BENGGH4Q Computers with Electronics (Including Year Abroad),
BENGI1H6 Computers with Electronics (Including Placement Year),
BENGH610 Electronic Engineering,
BENGH611 Electronic Engineering (Including Year Abroad),
BENGH61P Electronic Engineering (Including Foundation Year),
BENGHP10 Electronic Engineering (Including Placement Year),
MENGH613 Electronic Engineering,
MENGH614 Electronic Engineering (Integrated Masters, Including Placement Year),
BENGH641 Communications Engineering,
BENGHP41 Communications Engineering (Including Foundation Year),
BENGHPK1 Communications Engineering (Including Placement Year),
BENGHQ41 Communications Engineering (Including Year Abroad),
MENGH642 Communications Engineering,
BSC I1G3 Data Science and Analytics,
BSC I1GB Data Science and Analytics (Including Placement Year),
BSC I1GC Data Science and Analytics (Including Year Abroad),
BSC I1GF Data Science and Analytics (Including Foundation Year),
BENGH615 Robotic Engineering,
BENGH616 Robotic Engineering (Including Year Abroad),
BENGH617 Robotic Engineering (Including Placement Year),
BENGH618 Robotic Engineering (Including Foundation Year),
BSC G111 Computing,
BSC G112 Computing (Including Year Abroad),
BSC G113 Computing (Including Placement Year),
BSC GH01 Computing and Electronics,
BSC GH02 Computing and Electronics (Including Year Abroad),
BSC GH03 Computing and Electronics (Including Placement Year),
BSC GH3P Computing and Electronics (Including Foundation Year),
BSC H631 Electronics,
BSC H632 Electronics (Including Year Abroad),
BSC H633 Electronics (Including Placement Year),
BENGH730 Mechatronic Systems,
BENGH731 Mechatronic Systems (Including Year Abroad),
BENGH732 Mechatronic Systems (Including Placement Year),
BENGH733 Mechatronic Systems (Including Foundation Year),
BENGH169 Neural Engineering with Psychology,
BENGH170 Neural Engineering with Psychology (including Placement Year),
BENGH171 Neural Engineering with Psychology (including Year Abroad),
BENGH172 Neural Engineering with Psychology (including Foundation Year),
BSC H737 Mechatronics,
BSC H738 Mechatronics (including Placement Year),
BSC H739 Mechatronics (including Year Abroad),
BSC H167 Neural Technology with Psychology,
BSC H168 Neural Technology with Psychology (including Year Abroad),
BSC H176 Neural Technology with Psychology (including Placement Year),
BSC H717 Robotics,
BSC H718 Robotics (including Placement Year),
BSC H719 Robotics (including Year Abroad),
BSC I400 Artificial Intelligence,
BSC I401 Artificial Intelligence (including Foundation Year),
BSC I402 Artificial Intelligence (including Placement Year),
BSC I403 Artificial Intelligence (including Year Abroad)

Module description

This module is designed to develop a range of professional skills of students using a team project as the vehicle. Each team of students will work on a project of their choice given a set of attributes that the project must contain.

Module aims

The projects are research based and aim to incorporate the concepts of specifications, design, and implementation. Within the project students will be learn about sustainability, project and time management, design, legal issues, health and safety, data analysis and presentation, team reporting, and self evaluation.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. apply design methodology to arrive at a design to meet a specification.
2. undertake a project using appropriate time management and reporting.
3. have a systematic approach to data gathering, analysis and presentation to a professional standard.
4. research and apply the appropriate legal issues associated with a project.
5. maintain a record of work, including a reflective diary.
6. investigate and report on the sustainability parameters of a project/products.

Module information

The module lectures cover a range of topics including research skills, managing a team web server, team work, data gathering/analysis/reporting, project management, product development, product design, creativity and problem solving, and professional issues (sustainability, legal & ethical, health & safety). Roles within a team and using personal strengths to form and manage effective teams following known methodologies such as: personality types (Myers Briggs), team formation/Cog's ladder (Tuckman), and behavioural team roles (Belbin).

Two further lectures are provided by the Employability & Careers Centre to get students of to an early start with their career planning. The lectures are accompanied by a laboratory session each week in which the students hold team meetings and follow weekly activities.

These activities are designed to assist the teams in developing a team product and producing a team report that contains sections on teamwork, product development, project management, and professional issues.

In addition to the lectures and laboratory sessions the students undertake individual work for their team and report this through a web based server.

Learning and teaching methods

Lectures, laboratory sessions and classes

Bibliography*

  • Learn scrum with Jira Software | Atlassian, https://www.atlassian.com/agile/tutorials/how-to-do-scrum-with-jira-software
  • Agile best practices and tutorials | Atlassian, https://www.atlassian.com/agile
  • Wysocki, Robert K. (2014) Effective project management: traditional, agile, extreme, Indianapolis, Indiana: John Wiley & Sons, Inc.
  • Learn kanban with Jira Software | Atlassian, https://www.atlassian.com/agile/tutorials/how-to-do-kanban-with-jira-software

The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Assignment 1 - Essex Challenge - Team Presentation + 2Sec/Day video    14.28% 
Coursework   Assignment 2 - Team report    71.43% 
Coursework   Assignment 3 - Individual Statement    14.29% 
Exam  Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period) 
Exam  Reassessment exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period) 

Overall assessment

Coursework Exam
70% 30%

Reassessment

Coursework Exam
70% 30%
Module supervisor and teaching staff
Dr Vishwanathan Mohan, email: vishwanathan.mohan@essex.ac.uk.
Dr Vishwanathan Mohan, Dr Lina Barakat, Dr Sebastian Halder, Dr Xiaojun Zhai, Dr Javier Andreu, Dr David Bebbington, Dr Nick Zakhleniuk, Dr Seki Kolozali, Dr Haider Raza
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
No
No
No

External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 3007 hours, 897 (29.8%) hours available to students:
1948 hours not recorded due to service coverage or fault;
162 hours not recorded due to opt-out by lecturer(s).

 

Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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